| Publication Information (EuropePMC) | |
| Title | Polygenic scoring accuracy varies across the genetic ancestry continuum in all human populations |
| doi | 10.1101/2022.09.28.509988 |
| Publication Date | Sept. 29, 2022 |
| Journal | bioRxiv Preprint |
| Author(s) | Ding Y, Hou K, Xu Z, Pimplaskar A, Petter E, Boulier K, Privé F, Vilhjálmsson BJ, Loohuis LO, Pasaniuc B. |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS003551 (cont-decay-log_reticulocyte) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reticulocyte count | reticulocyte count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003551/ScoringFiles/PGS003551.txt.gz |
| PGS003557 (cont-decay-lymphocyte_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Lymphocyte percentage | lymphocyte percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003557/ScoringFiles/PGS003557.txt.gz |
| PGS003561 (cont-decay-MCV) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Mean corpuscular volume | mean corpuscular volume | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003561/ScoringFiles/PGS003561.txt.gz |
| PGS003563 (cont-decay-more_evening) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Morning/evening person (chronotype) | chronotype measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003563/ScoringFiles/PGS003563.txt.gz |
| PGS003490 (cont-decay-ankle_spacing) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Ankle spacing width | body weights and measures | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003490/ScoringFiles/PGS003490.txt.gz |
| PGS003497 (cont-decay-depressed_for_1w) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Ever depressed for a whole week | depressive episode measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003497/ScoringFiles/PGS003497.txt.gz |
| PGS003518 (cont-decay-less_happy) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
General happiness | wellbeing measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003518/ScoringFiles/PGS003518.txt.gz |
| PGS003533 (cont-decay-log_HbA1c) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Glycated haemoglobin (HbA1c) | HbA1c measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003533/ScoringFiles/PGS003533.txt.gz |
| PGS003554 (cont-decay-log_vitaminD) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Vitamin D | vitamin D measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003554/ScoringFiles/PGS003554.txt.gz |
| PGS003573 (cont-decay-years_of_edu) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Qualifications (years of education) | educational attainment | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003573/ScoringFiles/PGS003573.txt.gz |
| PGS003528 (cont-decay-log_cystatinC) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Cystatin C | cystatin C measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003528/ScoringFiles/PGS003528.txt.gz |
| PGS003572 (cont-decay-urate) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Urate | urate measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003572/ScoringFiles/PGS003572.txt.gz |
| PGS003513 (cont-decay-hand_grip_strength) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Hand grip strength (mean of both) | grip strength measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003513/ScoringFiles/PGS003513.txt.gz |
| PGS003522 (cont-decay-log_ALT) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Alanine aminotransferase | serum alanine aminotransferase measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003522/ScoringFiles/PGS003522.txt.gz |
| PGS003524 (cont-decay-log_bilirubin) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Total bilirubin | bilirubin measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003524/ScoringFiles/PGS003524.txt.gz |
| PGS003531 (cont-decay-log_fat_free_mass) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Whole body fat-free mass | lean body mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003531/ScoringFiles/PGS003531.txt.gz |
| PGS003537 (cont-decay-log_heel_SoS) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Speed of sound through heel | velocity of sound measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003537/ScoringFiles/PGS003537.txt.gz |
| PGS003545 (cont-decay-log_neutrophil) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Neutrophil count | neutrophil count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003545/ScoringFiles/PGS003545.txt.gz |
| PGS003548 (cont-decay-log_platelet_volume) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Mean platelet (thrombocyte) volume | mean platelet volume | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003548/ScoringFiles/PGS003548.txt.gz |
| PGS003553 (cont-decay-log_urea) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Urea | urea measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003553/ScoringFiles/PGS003553.txt.gz |
| PGS003558 (cont-decay-M_less_hair) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Hair/balding pattern | balding measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003558/ScoringFiles/PGS003558.txt.gz |
| PGS003565 (cont-decay-neuroticism) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Neuroticism score | neuroticism measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003565/ScoringFiles/PGS003565.txt.gz |
| PGS003491 (cont-decay-apoA) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Apolipoprotein A | apolipoprotein A-IV measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003491/ScoringFiles/PGS003491.txt.gz |
| PGS003493 (cont-decay-avMSE) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
avMSE | visual acuity measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003493/ScoringFiles/PGS003493.txt.gz |
| PGS003495 (cont-decay-cholesterol) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Cholesterol | total cholesterol measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003495/ScoringFiles/PGS003495.txt.gz |
| PGS003500 (cont-decay-ECG_QT_interval) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
QT interval | QT interval | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003500/ScoringFiles/PGS003500.txt.gz |
| PGS003492 (cont-decay-apoB) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Apolipoprotein B | apolipoprotein B measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003492/ScoringFiles/PGS003492.txt.gz |
| PGS003504 (cont-decay-ever_cannabis) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Ever taken cannabis | Cannabis use | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003504/ScoringFiles/PGS003504.txt.gz |
| PGS003526 (cont-decay-log_creatinine) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Creatinine | creatinine measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003526/ScoringFiles/PGS003526.txt.gz |
| PGS003529 (cont-decay-log_ECG_QRS_duration) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
QRS duration | QRS duration | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003529/ScoringFiles/PGS003529.txt.gz |
| PGS003538 (cont-decay-log_hip_circ) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Hip circumference | hip circumference | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003538/ScoringFiles/PGS003538.txt.gz |
| PGS003556 (cont-decay-log_water_mass) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Whole body water mass | whole body water mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003556/ScoringFiles/PGS003556.txt.gz |
| PGS003559 (cont-decay-M_log_testosterone) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Testosterone (male only) | testosterone measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003559/ScoringFiles/PGS003559.txt.gz |
| PGS003562 (cont-decay-monocyte_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Monocyte percentage | monocyte percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003562/ScoringFiles/PGS003562.txt.gz |
| PGS003564 (cont-decay-myopia) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Myopia diagnosis | Myopia | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003564/ScoringFiles/PGS003564.txt.gz |
| PGS003566 (cont-decay-neutrophil_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Neutrophil percentage | neutrophil percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003566/ScoringFiles/PGS003566.txt.gz |
| PGS003570 (cont-decay-sphered_cell_volume) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Mean sphered cell volume | mean corpuscular volume | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003570/ScoringFiles/PGS003570.txt.gz |
| PGS003515 (cont-decay-immature_reticulocyte_frac) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Immature reticulocyte fraction | reticulocyte measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003515/ScoringFiles/PGS003515.txt.gz |
| PGS003540 (cont-decay-log_impedance) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Impedance of whole body | whole body water mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003540/ScoringFiles/PGS003540.txt.gz |
| PGS003547 (cont-decay-log_platelet_crit) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Platelet crit | platelet crit | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003547/ScoringFiles/PGS003547.txt.gz |
| PGS003550 (cont-decay-log_pulse_rate) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Pulse rate, automated reading | heart rate | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003550/ScoringFiles/PGS003550.txt.gz |
| PGS003519 (cont-decay-less_happy_with_health) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
General happiness with own health | health satisfaction measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003519/ScoringFiles/PGS003519.txt.gz |
| PGS003546 (cont-decay-log_platelet) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Platelet count | platelet count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003546/ScoringFiles/PGS003546.txt.gz |
| PGS003568 (cont-decay-sensitive_stomach) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Sensitive stomach | health trait | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003568/ScoringFiles/PGS003568.txt.gz |
| PGS003569 (cont-decay-sitting_height) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Sitting height | sitting height measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003569/ScoringFiles/PGS003569.txt.gz |
| PGS003503 (cont-decay-erythrocyte_width) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Red blood cell (erythrocyte) distribution width | Red cell distribution width | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003503/ScoringFiles/PGS003503.txt.gz |
| PGS003506 (cont-decay-F_length_menstrual_cycle) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Length of menstrual cycle | menstrual cycle measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003506/ScoringFiles/PGS003506.txt.gz |
| PGS003507 (cont-decay-F_log_testosterone) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Testosterone (female only) | testosterone measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003507/ScoringFiles/PGS003507.txt.gz |
| PGS003508 (cont-decay-F_menarche) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Age when periods started (menarche) | age at menarche | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003508/ScoringFiles/PGS003508.txt.gz |
| PGS003509 (cont-decay-fat_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Body fat percentage | body fat percentage | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003509/ScoringFiles/PGS003509.txt.gz |
| PGS003510 (cont-decay-fluid_intelligence) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Fluid intelligence score | intelligence | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003510/ScoringFiles/PGS003510.txt.gz |
| PGS003520 (cont-decay-log_age_first_sex) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Age first had sexual intercourse | age at first sexual intercourse measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003520/ScoringFiles/PGS003520.txt.gz |
| PGS003525 (cont-decay-log_BMI) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Body mass index (BMI) | body mass index | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003525/ScoringFiles/PGS003525.txt.gz |
| PGS003527 (cont-decay-log_CRP) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
C-reactive protein | C-reactive protein measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003527/ScoringFiles/PGS003527.txt.gz |
| PGS003530 (cont-decay-log_eosinophil_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Eosinophil percentage | eosinophil percentage of leukocytes | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003530/ScoringFiles/PGS003530.txt.gz |
| PGS003535 (cont-decay-log_heel_BMD) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Heel bone mineral density (BMD) | heel bone mineral density | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003535/ScoringFiles/PGS003535.txt.gz |
| PGS003539 (cont-decay-log_IGF1) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
IGF-1 | IGF-1 measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003539/ScoringFiles/PGS003539.txt.gz |
| PGS003542 (cont-decay-log_lipoA) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Lipoprotein A | lipoprotein A measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003542/ScoringFiles/PGS003542.txt.gz |
| PGS003521 (cont-decay-log_ALP) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Alkaline phosphatase | alkaline phosphatase measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003521/ScoringFiles/PGS003521.txt.gz |
| PGS003498 (cont-decay-diastolic_BP) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Diastolic blood pressure, automated reading | diastolic blood pressure | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003498/ScoringFiles/PGS003498.txt.gz |
| PGS003499 (cont-decay-ECG_PQ_interval) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
PQ interval | PR interval | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003499/ScoringFiles/PGS003499.txt.gz |
| PGS003502 (cont-decay-erythrocyte) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Red blood cell (erythrocyte) count | erythrocyte count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003502/ScoringFiles/PGS003502.txt.gz |
| PGS003511 (cont-decay-haematocrit_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Haematocrit percentage | hematocrit | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003511/ScoringFiles/PGS003511.txt.gz |
| PGS003534 (cont-decay-log_HDL) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
HDL cholesterol | high density lipoprotein cholesterol measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003534/ScoringFiles/PGS003534.txt.gz |
| PGS003541 (cont-decay-log_leukocyte) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
White blood cell (leukocyte) count | leukocyte count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003541/ScoringFiles/PGS003541.txt.gz |
| PGS003544 (cont-decay-log_monocyte) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Monocyte count | monocyte count | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003544/ScoringFiles/PGS003544.txt.gz |
| PGS003555 (cont-decay-log_waist_circ) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Waist circumference | waist circumference | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003555/ScoringFiles/PGS003555.txt.gz |
| PGS003571 (cont-decay-systolic_BP) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Systolic blood pressure, automated reading | systolic blood pressure | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003571/ScoringFiles/PGS003571.txt.gz |
| PGS003523 (cont-decay-log_AST) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Aspartate aminotransferase level | aspartate aminotransferase measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003523/ScoringFiles/PGS003523.txt.gz |
| PGS003496 (cont-decay-darker_hair0) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Hair color (natural, before greying) | hair colour measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003496/ScoringFiles/PGS003496.txt.gz |
| PGS003543 (cont-decay-log_log_gammaGT) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Gamma-glutamyl transferase | serum gamma-glutamyl transferase measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003543/ScoringFiles/PGS003543.txt.gz |
| PGS003501 (cont-decay-ECG_QTC_interval) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
QTc interval | QT interval | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003501/ScoringFiles/PGS003501.txt.gz |
| PGS003549 (cont-decay-log_platelet_width) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Platelet distribution width | platelet component distribution width | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003549/ScoringFiles/PGS003549.txt.gz |
| PGS003512 (cont-decay-haemoglobin) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Haemoglobin concentration | hemoglobin measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003512/ScoringFiles/PGS003512.txt.gz |
| PGS003514 (cont-decay-height) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Standing height | body height | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003514/ScoringFiles/PGS003514.txt.gz |
| PGS003560 (cont-decay-MCH) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Mean corpuscular hemoglobin | mean corpuscular hemoglobin | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003560/ScoringFiles/PGS003560.txt.gz |
| PGS003532 (cont-decay-log_fat_mass) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Whole body fat mass | fat body mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003532/ScoringFiles/PGS003532.txt.gz |
| PGS003536 (cont-decay-log_heel_BUA) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Heel Broadband ultrasound attenuation, direct entry | bone quantitative ultrasound measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003536/ScoringFiles/PGS003536.txt.gz |
| PGS003567 (cont-decay-reticulocyte_volume) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Mean reticulocyte volume | mean reticulocyte volume | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003567/ScoringFiles/PGS003567.txt.gz |
| PGS003516 (cont-decay-income) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Average total household income before tax | household income | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003516/ScoringFiles/PGS003516.txt.gz |
| PGS003517 (cont-decay-LDL) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
LDL direct | low density lipoprotein cholesterol measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003517/ScoringFiles/PGS003517.txt.gz |
| PGS003494 (cont-decay-birth_weight) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Birth weight | birth weight | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003494/ScoringFiles/PGS003494.txt.gz |
| PGS003505 (cont-decay-F_age_first_birth) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Age at first live birth | age at first birth measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003505/ScoringFiles/PGS003505.txt.gz |
| PGS003552 (cont-decay-log_SHBG) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Sex hormone binding globulin (SHBG) | sex hormone-binding globulin measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003552/ScoringFiles/PGS003552.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM017471 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010908| European Ancestry| 19,107 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017472 | PGS003544 (cont-decay-log_monocyte) |
PSS010909| European Ancestry| 19,376 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017765 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010190| European Ancestry| 107 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017903 | PGS003555 (cont-decay-log_waist_circ) |
PSS010501| South Asian Ancestry| 6,215 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017473 | PGS003545 (cont-decay-log_neutrophil) |
PSS010910| European Ancestry| 19,374 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017474 | PGS003546 (cont-decay-log_platelet) |
PSS010911| European Ancestry| 19,418 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.23 | sex, age, deprivation index, PC1-16 | — |
| PPM017551 | PGS003539 (cont-decay-log_IGF1) |
PSS010820| European Ancestry| 3,924 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017834 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010266| European Ancestry| 2,220 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017905 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010503| South Asian Ancestry| 6,004 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017906 | PGS003558 (cont-decay-M_less_hair) |
PSS010504| South Asian Ancestry| 3,222 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017459 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010895| European Ancestry| 19,661 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017907 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010506| South Asian Ancestry| 3,208 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017475 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010912| European Ancestry| 19,417 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017460 | PGS003532 (cont-decay-log_fat_mass) |
PSS010896| European Ancestry| 19,633 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017552 | PGS003540 (cont-decay-log_impedance) |
PSS010821| European Ancestry| 4,059 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017600 | PGS003504 (cont-decay-ever_cannabis) |
PSS010613| European Ancestry| 1,938 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017546 | PGS003534 (cont-decay-log_HDL) |
PSS010814| European Ancestry| 3,578 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017601 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010614| European Ancestry| 2,090 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017836 | PGS003572 (cont-decay-urate) |
PSS010268| European Ancestry| 2,232 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017418 | PGS003490 (cont-decay-ankle_spacing) |
PSS010859| European Ancestry| 11,364 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017419 | PGS003491 (cont-decay-apoA) |
PSS010870| European Ancestry| 17,435 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017420 | PGS003492 (cont-decay-apoB) |
PSS010881| European Ancestry| 19,039 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017421 | PGS003493 (cont-decay-avMSE) |
PSS010892| European Ancestry| 4,334 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017422 | PGS003494 (cont-decay-birth_weight) |
PSS010903| European Ancestry| 11,297 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017425 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010936| European Ancestry| 6,610 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017426 | PGS003498 (cont-decay-diastolic_BP) |
PSS010942| European Ancestry| 18,679 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017427 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010860| European Ancestry| 995 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017428 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010861| European Ancestry| 1,040 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017429 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010862| European Ancestry| 1,040 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017431 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010864| European Ancestry| 19,389 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017432 | PGS003504 (cont-decay-ever_cannabis) |
PSS010865| European Ancestry| 5,883 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017433 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010866| European Ancestry| 7,313 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017434 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010867| European Ancestry| 1,768 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017435 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010868| European Ancestry| 8,475 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017436 | PGS003508 (cont-decay-F_menarche) |
PSS010869| European Ancestry| 10,448 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017437 | PGS003509 (cont-decay-fat_perc) |
PSS010871| European Ancestry| 19,650 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017438 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010872| European Ancestry| 5,148 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017439 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010873| European Ancestry| 19,418 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017440 | PGS003512 (cont-decay-haemoglobin) |
PSS010874| European Ancestry| 19,417 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017441 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010875| European Ancestry| 19,862 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017442 | PGS003514 (cont-decay-height) |
PSS010876| European Ancestry| 19,949 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.38 | sex, age, deprivation index, PC1-16 | — |
| PPM017443 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010877| European Ancestry| 19,116 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017445 | PGS003517 (cont-decay-LDL) |
PSS010879| European Ancestry| 19,077 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017446 | PGS003518 (cont-decay-less_happy) |
PSS010880| European Ancestry| 6,472 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017447 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010882| European Ancestry| 6,496 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017448 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010883| European Ancestry| 17,510 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017449 | PGS003521 (cont-decay-log_ALP) |
PSS010884| European Ancestry| 19,111 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.21 | sex, age, deprivation index, PC1-16 | — |
| PPM017450 | PGS003522 (cont-decay-log_ALT) |
PSS010885| European Ancestry| 19,106 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017451 | PGS003523 (cont-decay-log_AST) |
PSS010886| European Ancestry| 19,052 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017452 | PGS003524 (cont-decay-log_bilirubin) |
PSS010887| European Ancestry| 19,050 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.35 | sex, age, deprivation index, PC1-16 | — |
| PPM017453 | PGS003525 (cont-decay-log_BMI) |
PSS010888| European Ancestry| 19,935 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017454 | PGS003526 (cont-decay-log_creatinine) |
PSS010889| European Ancestry| 19,112 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017455 | PGS003527 (cont-decay-log_CRP) |
PSS010890| European Ancestry| 19,083 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017456 | PGS003528 (cont-decay-log_cystatinC) |
PSS010891| European Ancestry| 19,120 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017457 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010893| European Ancestry| 1,567 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017458 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010894| European Ancestry| 11,449 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017461 | PGS003533 (cont-decay-log_HbA1c) |
PSS010897| European Ancestry| 19,078 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017462 | PGS003534 (cont-decay-log_HDL) |
PSS010898| European Ancestry| 17,539 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017464 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010900| European Ancestry| 11,353 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017465 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010901| European Ancestry| 11,364 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017466 | PGS003538 (cont-decay-log_hip_circ) |
PSS010902| European Ancestry| 19,955 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017467 | PGS003539 (cont-decay-log_IGF1) |
PSS010904| European Ancestry| 19,017 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017468 | PGS003540 (cont-decay-log_impedance) |
PSS010905| European Ancestry| 19,653 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017469 | PGS003541 (cont-decay-log_leukocyte) |
PSS010906| European Ancestry| 19,415 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017470 | PGS003542 (cont-decay-log_lipoA) |
PSS010907| European Ancestry| 15,302 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.34 | sex, age, deprivation index, PC1-16 | — |
| PPM017477 | PGS003549 (cont-decay-log_platelet_width) |
PSS010915| European Ancestry| 19,418 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.21 | sex, age, deprivation index, PC1-16 | — |
| PPM017478 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010916| European Ancestry| 18,679 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017479 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010917| European Ancestry| 19,111 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017480 | PGS003552 (cont-decay-log_SHBG) |
PSS010918| European Ancestry| 17,359 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017481 | PGS003553 (cont-decay-log_urea) |
PSS010919| European Ancestry| 19,108 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017482 | PGS003554 (cont-decay-log_vitaminD) |
PSS010920| European Ancestry| 18,261 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017483 | PGS003555 (cont-decay-log_waist_circ) |
PSS010921| European Ancestry| 19,954 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017484 | PGS003556 (cont-decay-log_water_mass) |
PSS010922| European Ancestry| 19,662 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017485 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010923| European Ancestry| 19,370 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017486 | PGS003558 (cont-decay-M_less_hair) |
PSS010924| European Ancestry| 9,180 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.23 | sex, age, deprivation index, PC1-16 | — |
| PPM017487 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010926| European Ancestry| 8,753 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017492 | PGS003564 (cont-decay-myopia) |
PSS010931| European Ancestry| 4,366 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017493 | PGS003565 (cont-decay-neuroticism) |
PSS010932| European Ancestry| 16,317 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017494 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010933| European Ancestry| 19,342 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017495 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010934| European Ancestry| 19,112 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017496 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010935| European Ancestry| 6,703 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017497 | PGS003569 (cont-decay-sitting_height) |
PSS010937| European Ancestry| 19,923 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.25 | sex, age, deprivation index, PC1-16 | — |
| PPM017498 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010938| European Ancestry| 19,109 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017499 | PGS003571 (cont-decay-systolic_BP) |
PSS010939| European Ancestry| 18,679 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017500 | PGS003572 (cont-decay-urate) |
PSS010940| European Ancestry| 19,082 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017502 | PGS003490 (cont-decay-ankle_spacing) |
PSS010775| European Ancestry| 2,148 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017503 | PGS003491 (cont-decay-apoA) |
PSS010786| European Ancestry| 3,551 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017504 | PGS003492 (cont-decay-apoB) |
PSS010797| European Ancestry| 3,924 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017505 | PGS003493 (cont-decay-avMSE) |
PSS010808| European Ancestry| 1,138 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017506 | PGS003494 (cont-decay-birth_weight) |
PSS010819| European Ancestry| 2,136 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017507 | PGS003495 (cont-decay-cholesterol) |
PSS010830| European Ancestry| 3,941 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017508 | PGS003496 (cont-decay-darker_hair0) |
PSS010841| European Ancestry| 3,986 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.24 | sex, age, deprivation index, PC1-16 | — |
| PPM017509 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010852| European Ancestry| 1,520 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017510 | PGS003498 (cont-decay-diastolic_BP) |
PSS010858| European Ancestry| 3,920 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017511 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010776| European Ancestry| 180 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017512 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010777| European Ancestry| 192 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017513 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010778| European Ancestry| 190 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017515 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010780| European Ancestry| 3,985 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017516 | PGS003504 (cont-decay-ever_cannabis) |
PSS010781| European Ancestry| 1,104 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017517 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010782| European Ancestry| 1,431 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017518 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010783| European Ancestry| 589 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017519 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010784| European Ancestry| 2,096 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017520 | PGS003508 (cont-decay-F_menarche) |
PSS010785| European Ancestry| 2,448 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017521 | PGS003509 (cont-decay-fat_perc) |
PSS010787| European Ancestry| 4,063 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017522 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010788| European Ancestry| 983 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017523 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010789| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017524 | PGS003512 (cont-decay-haemoglobin) |
PSS010790| European Ancestry| 3,990 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017525 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010791| European Ancestry| 4,094 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017526 | PGS003514 (cont-decay-height) |
PSS010792| European Ancestry| 4,115 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.34 | sex, age, deprivation index, PC1-16 | — |
| PPM017527 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010793| European Ancestry| 3,913 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017529 | PGS003517 (cont-decay-LDL) |
PSS010795| European Ancestry| 3,935 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017530 | PGS003518 (cont-decay-less_happy) |
PSS010796| European Ancestry| 1,241 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017531 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010798| European Ancestry| 1,246 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017532 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010799| European Ancestry| 3,426 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017533 | PGS003521 (cont-decay-log_ALP) |
PSS010800| European Ancestry| 3,939 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017534 | PGS003522 (cont-decay-log_ALT) |
PSS010801| European Ancestry| 3,939 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017535 | PGS003523 (cont-decay-log_AST) |
PSS010802| European Ancestry| 3,922 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017536 | PGS003524 (cont-decay-log_bilirubin) |
PSS010803| European Ancestry| 3,919 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.37 | sex, age, deprivation index, PC1-16 | — |
| PPM017537 | PGS003525 (cont-decay-log_BMI) |
PSS010804| European Ancestry| 4,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017538 | PGS003526 (cont-decay-log_creatinine) |
PSS010805| European Ancestry| 3,939 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017539 | PGS003527 (cont-decay-log_CRP) |
PSS010806| European Ancestry| 3,933 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017540 | PGS003528 (cont-decay-log_cystatinC) |
PSS010807| European Ancestry| 3,942 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017541 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010809| European Ancestry| 299 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017542 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010810| European Ancestry| 2,277 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017543 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010811| European Ancestry| 4,062 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017544 | PGS003532 (cont-decay-log_fat_mass) |
PSS010812| European Ancestry| 4,055 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017545 | PGS003533 (cont-decay-log_HbA1c) |
PSS010813| European Ancestry| 3,920 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017548 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010816| European Ancestry| 2,146 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017549 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010817| European Ancestry| 2,148 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017550 | PGS003538 (cont-decay-log_hip_circ) |
PSS010818| European Ancestry| 4,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017553 | PGS003541 (cont-decay-log_leukocyte) |
PSS010822| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017554 | PGS003542 (cont-decay-log_lipoA) |
PSS010823| European Ancestry| 3,124 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.29 | sex, age, deprivation index, PC1-16 | — |
| PPM017557 | PGS003545 (cont-decay-log_neutrophil) |
PSS010826| European Ancestry| 3,981 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017558 | PGS003546 (cont-decay-log_platelet) |
PSS010827| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.22 | sex, age, deprivation index, PC1-16 | — |
| PPM017559 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010828| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017560 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010829| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.35 | sex, age, deprivation index, PC1-16 | — |
| PPM017561 | PGS003549 (cont-decay-log_platelet_width) |
PSS010831| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.21 | sex, age, deprivation index, PC1-16 | — |
| PPM017562 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010832| European Ancestry| 3,920 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017563 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010833| European Ancestry| 3,912 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017565 | PGS003553 (cont-decay-log_urea) |
PSS010835| European Ancestry| 3,939 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017566 | PGS003554 (cont-decay-log_vitaminD) |
PSS010836| European Ancestry| 3,767 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017567 | PGS003555 (cont-decay-log_waist_circ) |
PSS010837| European Ancestry| 4,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017568 | PGS003556 (cont-decay-log_water_mass) |
PSS010838| European Ancestry| 4,063 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017569 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010839| European Ancestry| 3,981 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017570 | PGS003558 (cont-decay-M_less_hair) |
PSS010840| European Ancestry| 1,538 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.23 | sex, age, deprivation index, PC1-16 | — |
| PPM017571 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010842| European Ancestry| 1,479 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017572 | PGS003560 (cont-decay-MCH) |
PSS010843| European Ancestry| 3,989 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017573 | PGS003561 (cont-decay-MCV) |
PSS010844| European Ancestry| 3,991 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017574 | PGS003562 (cont-decay-monocyte_perc) |
PSS010845| European Ancestry| 3,952 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017575 | PGS003563 (cont-decay-more_evening) |
PSS010846| European Ancestry| 3,780 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017576 | PGS003564 (cont-decay-myopia) |
PSS010847| European Ancestry| 1,145 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017577 | PGS003565 (cont-decay-neuroticism) |
PSS010848| European Ancestry| 2,942 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017579 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010850| European Ancestry| 3,913 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017580 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010851| European Ancestry| 1,216 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017581 | PGS003569 (cont-decay-sitting_height) |
PSS010853| European Ancestry| 4,111 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.23 | sex, age, deprivation index, PC1-16 | — |
| PPM017582 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010854| European Ancestry| 3,913 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017583 | PGS003571 (cont-decay-systolic_BP) |
PSS010855| European Ancestry| 3,920 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017584 | PGS003572 (cont-decay-urate) |
PSS010856| European Ancestry| 3,937 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017585 | PGS003573 (cont-decay-years_of_edu) |
PSS010857| European Ancestry| 3,620 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017586 | PGS003490 (cont-decay-ankle_spacing) |
PSS010607| European Ancestry| 3,392 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017587 | PGS003491 (cont-decay-apoA) |
PSS010618| European Ancestry| 5,626 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017588 | PGS003492 (cont-decay-apoB) |
PSS010629| European Ancestry| 6,144 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017589 | PGS003493 (cont-decay-avMSE) |
PSS010640| European Ancestry| 1,952 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017590 | PGS003494 (cont-decay-birth_weight) |
PSS010651| European Ancestry| 3,340 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017592 | PGS003496 (cont-decay-darker_hair0) |
PSS010673| European Ancestry| 6,316 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017593 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010684| European Ancestry| 2,449 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017594 | PGS003498 (cont-decay-diastolic_BP) |
PSS010690| European Ancestry| 6,182 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017595 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010608| European Ancestry| 213 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017596 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010609| European Ancestry| 220 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017597 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010610| European Ancestry| 219 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017598 | PGS003502 (cont-decay-erythrocyte) |
PSS010611| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017599 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010612| European Ancestry| 6,263 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017603 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010616| European Ancestry| 2,874 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017604 | PGS003508 (cont-decay-F_menarche) |
PSS010617| European Ancestry| 3,478 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017605 | PGS003509 (cont-decay-fat_perc) |
PSS010619| European Ancestry| 6,371 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017606 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010620| European Ancestry| 1,785 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017607 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010621| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017608 | PGS003512 (cont-decay-haemoglobin) |
PSS010622| European Ancestry| 6,277 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017609 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010623| European Ancestry| 6,434 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017610 | PGS003514 (cont-decay-height) |
PSS010624| European Ancestry| 6,470 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.33 | sex, age, deprivation index, PC1-16 | — |
| PPM017611 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010625| European Ancestry| 6,144 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017612 | PGS003516 (cont-decay-income) |
PSS010626| European Ancestry| 5,489 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017614 | PGS003518 (cont-decay-less_happy) |
PSS010628| European Ancestry| 2,169 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017621 | PGS003525 (cont-decay-log_BMI) |
PSS010636| European Ancestry| 6,459 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017622 | PGS003526 (cont-decay-log_creatinine) |
PSS010637| European Ancestry| 6,170 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017623 | PGS003527 (cont-decay-log_CRP) |
PSS010638| European Ancestry| 6,156 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017624 | PGS003528 (cont-decay-log_cystatinC) |
PSS010639| European Ancestry| 6,167 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017625 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010641| European Ancestry| 400 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017627 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010643| European Ancestry| 6,376 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017628 | PGS003532 (cont-decay-log_fat_mass) |
PSS010644| European Ancestry| 6,357 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017629 | PGS003533 (cont-decay-log_HbA1c) |
PSS010645| European Ancestry| 6,172 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017630 | PGS003534 (cont-decay-log_HDL) |
PSS010646| European Ancestry| 5,659 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017631 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010647| European Ancestry| 3,384 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017632 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010648| European Ancestry| 3,386 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017633 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010649| European Ancestry| 3,393 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017634 | PGS003538 (cont-decay-log_hip_circ) |
PSS010650| European Ancestry| 6,474 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017635 | PGS003539 (cont-decay-log_IGF1) |
PSS010652| European Ancestry| 6,139 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017636 | PGS003540 (cont-decay-log_impedance) |
PSS010653| European Ancestry| 6,373 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017638 | PGS003542 (cont-decay-log_lipoA) |
PSS010655| European Ancestry| 5,045 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017639 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010656| European Ancestry| 6,170 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017640 | PGS003544 (cont-decay-log_monocyte) |
PSS010657| European Ancestry| 6,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017641 | PGS003545 (cont-decay-log_neutrophil) |
PSS010658| European Ancestry| 6,260 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017642 | PGS003546 (cont-decay-log_platelet) |
PSS010659| European Ancestry| 6,277 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.21 | sex, age, deprivation index, PC1-16 | — |
| PPM017643 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010660| European Ancestry| 6,277 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017644 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010661| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.31 | sex, age, deprivation index, PC1-16 | — |
| PPM017645 | PGS003549 (cont-decay-log_platelet_width) |
PSS010663| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017646 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010664| European Ancestry| 6,182 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017647 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010665| European Ancestry| 6,143 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017648 | PGS003552 (cont-decay-log_SHBG) |
PSS010666| European Ancestry| 5,599 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017649 | PGS003553 (cont-decay-log_urea) |
PSS010667| European Ancestry| 6,168 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017650 | PGS003554 (cont-decay-log_vitaminD) |
PSS010668| European Ancestry| 5,901 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017651 | PGS003555 (cont-decay-log_waist_circ) |
PSS010669| European Ancestry| 6,474 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017652 | PGS003556 (cont-decay-log_water_mass) |
PSS010670| European Ancestry| 6,377 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017654 | PGS003558 (cont-decay-M_less_hair) |
PSS010672| European Ancestry| 2,874 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.21 | sex, age, deprivation index, PC1-16 | — |
| PPM017655 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010674| European Ancestry| 2,755 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017656 | PGS003560 (cont-decay-MCH) |
PSS010675| European Ancestry| 6,276 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017657 | PGS003561 (cont-decay-MCV) |
PSS010676| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017658 | PGS003562 (cont-decay-monocyte_perc) |
PSS010677| European Ancestry| 6,213 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017659 | PGS003563 (cont-decay-more_evening) |
PSS010678| European Ancestry| 5,839 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017660 | PGS003564 (cont-decay-myopia) |
PSS010679| European Ancestry| 1,967 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017661 | PGS003565 (cont-decay-neuroticism) |
PSS010680| European Ancestry| 4,958 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017662 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010681| European Ancestry| 6,254 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017663 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010682| European Ancestry| 6,144 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017664 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010683| European Ancestry| 2,159 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017665 | PGS003569 (cont-decay-sitting_height) |
PSS010685| European Ancestry| 6,461 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.22 | sex, age, deprivation index, PC1-16 | — |
| PPM017667 | PGS003571 (cont-decay-systolic_BP) |
PSS010687| European Ancestry| 6,181 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017668 | PGS003572 (cont-decay-urate) |
PSS010688| European Ancestry| 6,166 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017669 | PGS003573 (cont-decay-years_of_edu) |
PSS010689| European Ancestry| 5,475 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017670 | PGS003490 (cont-decay-ankle_spacing) |
PSS010523| Greater Middle Eastern Ancestry| 488 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017671 | PGS003491 (cont-decay-apoA) |
PSS010534| Greater Middle Eastern Ancestry| 1,004 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017672 | PGS003492 (cont-decay-apoB) |
PSS010545| Greater Middle Eastern Ancestry| 1,086 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017673 | PGS003493 (cont-decay-avMSE) |
PSS010556| Greater Middle Eastern Ancestry| 432 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017674 | PGS003494 (cont-decay-birth_weight) |
PSS010567| Greater Middle Eastern Ancestry| 303 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017675 | PGS003495 (cont-decay-cholesterol) |
PSS010578| Greater Middle Eastern Ancestry| 1,097 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017677 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010600| Greater Middle Eastern Ancestry| 505 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017678 | PGS003498 (cont-decay-diastolic_BP) |
PSS010606| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017679 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010524| Greater Middle Eastern Ancestry| 25 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.32 | sex, age, deprivation index, PC1-16 | — |
| PPM017680 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010525| Greater Middle Eastern Ancestry| 26 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017681 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010526| Greater Middle Eastern Ancestry| 26 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017682 | PGS003502 (cont-decay-erythrocyte) |
PSS010527| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017683 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010528| Greater Middle Eastern Ancestry| 1,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017684 | PGS003504 (cont-decay-ever_cannabis) |
PSS010529| Greater Middle Eastern Ancestry| 186 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017686 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010531| Greater Middle Eastern Ancestry| 145 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017687 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010532| Greater Middle Eastern Ancestry| 372 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017688 | PGS003508 (cont-decay-F_menarche) |
PSS010533| Greater Middle Eastern Ancestry| 442 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017689 | PGS003509 (cont-decay-fat_perc) |
PSS010535| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017690 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010536| Greater Middle Eastern Ancestry| 158 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017691 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010537| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017692 | PGS003512 (cont-decay-haemoglobin) |
PSS010538| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017693 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010539| Greater Middle Eastern Ancestry| 1,139 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017694 | PGS003514 (cont-decay-height) |
PSS010540| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.25 | sex, age, deprivation index, PC1-16 | — |
| PPM017695 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010541| Greater Middle Eastern Ancestry| 1,097 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017697 | PGS003517 (cont-decay-LDL) |
PSS010543| Greater Middle Eastern Ancestry| 1,093 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017698 | PGS003518 (cont-decay-less_happy) |
PSS010544| Greater Middle Eastern Ancestry| 199 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017699 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010546| Greater Middle Eastern Ancestry| 199 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017700 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010547| Greater Middle Eastern Ancestry| 781 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017701 | PGS003521 (cont-decay-log_ALP) |
PSS010548| Greater Middle Eastern Ancestry| 1,094 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017702 | PGS003522 (cont-decay-log_ALT) |
PSS010549| Greater Middle Eastern Ancestry| 1,094 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017703 | PGS003523 (cont-decay-log_AST) |
PSS010550| Greater Middle Eastern Ancestry| 1,095 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017704 | PGS003524 (cont-decay-log_bilirubin) |
PSS010551| Greater Middle Eastern Ancestry| 1,091 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.32 | sex, age, deprivation index, PC1-16 | — |
| PPM017705 | PGS003525 (cont-decay-log_BMI) |
PSS010552| Greater Middle Eastern Ancestry| 1,149 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017706 | PGS003526 (cont-decay-log_creatinine) |
PSS010553| Greater Middle Eastern Ancestry| 1,095 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017707 | PGS003527 (cont-decay-log_CRP) |
PSS010554| Greater Middle Eastern Ancestry| 1,095 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017708 | PGS003528 (cont-decay-log_cystatinC) |
PSS010555| Greater Middle Eastern Ancestry| 1,097 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017709 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010557| Greater Middle Eastern Ancestry| 42 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017710 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010558| Greater Middle Eastern Ancestry| 659 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017711 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010559| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017712 | PGS003532 (cont-decay-log_fat_mass) |
PSS010560| Greater Middle Eastern Ancestry| 1,121 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017713 | PGS003533 (cont-decay-log_HbA1c) |
PSS010561| Greater Middle Eastern Ancestry| 1,100 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017714 | PGS003534 (cont-decay-log_HDL) |
PSS010562| Greater Middle Eastern Ancestry| 1,005 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017716 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010564| Greater Middle Eastern Ancestry| 486 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017717 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010565| Greater Middle Eastern Ancestry| 488 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017718 | PGS003538 (cont-decay-log_hip_circ) |
PSS010566| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017719 | PGS003539 (cont-decay-log_IGF1) |
PSS010568| Greater Middle Eastern Ancestry| 1,089 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017720 | PGS003540 (cont-decay-log_impedance) |
PSS010569| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017721 | PGS003541 (cont-decay-log_leukocyte) |
PSS010570| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017722 | PGS003542 (cont-decay-log_lipoA) |
PSS010571| Greater Middle Eastern Ancestry| 899 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017723 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010572| Greater Middle Eastern Ancestry| 1,095 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017724 | PGS003544 (cont-decay-log_monocyte) |
PSS010573| Greater Middle Eastern Ancestry| 1,121 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017725 | PGS003545 (cont-decay-log_neutrophil) |
PSS010574| Greater Middle Eastern Ancestry| 1,119 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017726 | PGS003546 (cont-decay-log_platelet) |
PSS010575| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.22 | sex, age, deprivation index, PC1-16 | — |
| PPM017727 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010576| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017729 | PGS003549 (cont-decay-log_platelet_width) |
PSS010579| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017730 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010580| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017731 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010581| Greater Middle Eastern Ancestry| 1,097 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017732 | PGS003552 (cont-decay-log_SHBG) |
PSS010582| Greater Middle Eastern Ancestry| 996 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017733 | PGS003553 (cont-decay-log_urea) |
PSS010583| Greater Middle Eastern Ancestry| 1,095 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017734 | PGS003554 (cont-decay-log_vitaminD) |
PSS010584| Greater Middle Eastern Ancestry| 1,009 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017735 | PGS003555 (cont-decay-log_waist_circ) |
PSS010585| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017736 | PGS003556 (cont-decay-log_water_mass) |
PSS010586| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017737 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010587| Greater Middle Eastern Ancestry| 1,120 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017738 | PGS003558 (cont-decay-M_less_hair) |
PSS010588| Greater Middle Eastern Ancestry| 669 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017739 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010590| Greater Middle Eastern Ancestry| 648 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017740 | PGS003560 (cont-decay-MCH) |
PSS010591| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017741 | PGS003561 (cont-decay-MCV) |
PSS010592| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017810 | PGS003546 (cont-decay-log_platelet) |
PSS010239| European Ancestry| 2,263 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017743 | PGS003563 (cont-decay-more_evening) |
PSS010594| Greater Middle Eastern Ancestry| 982 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017744 | PGS003564 (cont-decay-myopia) |
PSS010595| Greater Middle Eastern Ancestry| 433 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017745 | PGS003565 (cont-decay-neuroticism) |
PSS010596| Greater Middle Eastern Ancestry| 633 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017746 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010597| Greater Middle Eastern Ancestry| 1,117 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017747 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010598| Greater Middle Eastern Ancestry| 1,097 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017748 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010599| Greater Middle Eastern Ancestry| 196 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017750 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010602| Greater Middle Eastern Ancestry| 1,096 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017751 | PGS003571 (cont-decay-systolic_BP) |
PSS010603| Greater Middle Eastern Ancestry| 1,122 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017752 | PGS003572 (cont-decay-urate) |
PSS010604| Greater Middle Eastern Ancestry| 1,095 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017753 | PGS003573 (cont-decay-years_of_edu) |
PSS010605| Greater Middle Eastern Ancestry| 957 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017754 | PGS003490 (cont-decay-ankle_spacing) |
PSS010187| European Ancestry| 1,381 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017755 | PGS003491 (cont-decay-apoA) |
PSS010198| European Ancestry| 2,045 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017756 | PGS003492 (cont-decay-apoB) |
PSS010209| European Ancestry| 2,234 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017757 | PGS003493 (cont-decay-avMSE) |
PSS010220| European Ancestry| 467 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017759 | PGS003495 (cont-decay-cholesterol) |
PSS010242| European Ancestry| 2,237 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017760 | PGS003496 (cont-decay-darker_hair0) |
PSS010253| European Ancestry| 2,281 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017761 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010264| European Ancestry| 593 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017762 | PGS003498 (cont-decay-diastolic_BP) |
PSS010270| European Ancestry| 2,194 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017763 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010188| European Ancestry| 103 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017764 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010189| European Ancestry| 107 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017766 | PGS003502 (cont-decay-erythrocyte) |
PSS010191| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017768 | PGS003504 (cont-decay-ever_cannabis) |
PSS010193| European Ancestry| 837 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017769 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010194| European Ancestry| 857 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017770 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010195| European Ancestry| 157 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017771 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010196| European Ancestry| 943 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017772 | PGS003508 (cont-decay-F_menarche) |
PSS010197| European Ancestry| 1,248 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017773 | PGS003509 (cont-decay-fat_perc) |
PSS010199| European Ancestry| 2,315 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017774 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010200| European Ancestry| 799 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017775 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010201| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017776 | PGS003512 (cont-decay-haemoglobin) |
PSS010202| European Ancestry| 2,263 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017777 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010203| European Ancestry| 2,336 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017778 | PGS003514 (cont-decay-height) |
PSS010204| European Ancestry| 2,346 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.33 | sex, age, deprivation index, PC1-16 | — |
| PPM017779 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010205| European Ancestry| 2,221 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017780 | PGS003516 (cont-decay-income) |
PSS010206| European Ancestry| 1,950 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017781 | PGS003517 (cont-decay-LDL) |
PSS010207| European Ancestry| 2,235 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017782 | PGS003518 (cont-decay-less_happy) |
PSS010208| European Ancestry| 940 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017783 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010210| European Ancestry| 948 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017784 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010211| European Ancestry| 2,080 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017785 | PGS003521 (cont-decay-log_ALP) |
PSS010212| European Ancestry| 2,238 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017786 | PGS003522 (cont-decay-log_ALT) |
PSS010213| European Ancestry| 2,238 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017788 | PGS003524 (cont-decay-log_bilirubin) |
PSS010215| European Ancestry| 2,230 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.37 | sex, age, deprivation index, PC1-16 | — |
| PPM017789 | PGS003525 (cont-decay-log_BMI) |
PSS010216| European Ancestry| 2,344 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017790 | PGS003526 (cont-decay-log_creatinine) |
PSS010217| European Ancestry| 2,235 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017791 | PGS003527 (cont-decay-log_CRP) |
PSS010218| European Ancestry| 2,236 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017792 | PGS003528 (cont-decay-log_cystatinC) |
PSS010219| European Ancestry| 2,236 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017793 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010221| European Ancestry| 186 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017794 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010222| European Ancestry| 1,249 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017795 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010223| European Ancestry| 2,318 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017796 | PGS003532 (cont-decay-log_fat_mass) |
PSS010224| European Ancestry| 2,313 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017797 | PGS003533 (cont-decay-log_HbA1c) |
PSS010225| European Ancestry| 2,233 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017798 | PGS003534 (cont-decay-log_HDL) |
PSS010226| European Ancestry| 2,058 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017799 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010227| European Ancestry| 1,383 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017801 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010229| European Ancestry| 1,384 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017802 | PGS003538 (cont-decay-log_hip_circ) |
PSS010230| European Ancestry| 2,344 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017803 | PGS003539 (cont-decay-log_IGF1) |
PSS010232| European Ancestry| 2,227 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017804 | PGS003540 (cont-decay-log_impedance) |
PSS010233| European Ancestry| 2,316 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017805 | PGS003541 (cont-decay-log_leukocyte) |
PSS010234| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017806 | PGS003542 (cont-decay-log_lipoA) |
PSS010235| European Ancestry| 1,954 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017807 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010236| European Ancestry| 2,237 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017808 | PGS003544 (cont-decay-log_monocyte) |
PSS010237| European Ancestry| 2,256 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017809 | PGS003545 (cont-decay-log_neutrophil) |
PSS010238| European Ancestry| 2,259 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017811 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010240| European Ancestry| 2,263 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017812 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010241| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.28 | sex, age, deprivation index, PC1-16 | — |
| PPM017814 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010244| European Ancestry| 2,194 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017815 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010245| European Ancestry| 2,221 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017816 | PGS003552 (cont-decay-log_SHBG) |
PSS010246| European Ancestry| 2,029 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017817 | PGS003553 (cont-decay-log_urea) |
PSS010247| European Ancestry| 2,235 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017818 | PGS003554 (cont-decay-log_vitaminD) |
PSS010248| European Ancestry| 2,125 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017819 | PGS003555 (cont-decay-log_waist_circ) |
PSS010249| European Ancestry| 2,344 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017820 | PGS003556 (cont-decay-log_water_mass) |
PSS010250| European Ancestry| 2,318 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017821 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010251| European Ancestry| 2,258 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017822 | PGS003558 (cont-decay-M_less_hair) |
PSS010252| European Ancestry| 1,045 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017823 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010254| European Ancestry| 1,002 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017825 | PGS003561 (cont-decay-MCV) |
PSS010256| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017826 | PGS003562 (cont-decay-monocyte_perc) |
PSS010257| European Ancestry| 2,241 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017827 | PGS003563 (cont-decay-more_evening) |
PSS010258| European Ancestry| 2,039 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017828 | PGS003564 (cont-decay-myopia) |
PSS010259| European Ancestry| 480 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017829 | PGS003565 (cont-decay-neuroticism) |
PSS010260| European Ancestry| 1,892 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017830 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010261| European Ancestry| 2,256 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017831 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010262| European Ancestry| 2,221 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017832 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010263| European Ancestry| 976 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017833 | PGS003569 (cont-decay-sitting_height) |
PSS010265| European Ancestry| 2,335 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.21 | sex, age, deprivation index, PC1-16 | — |
| PPM017837 | PGS003573 (cont-decay-years_of_edu) |
PSS010269| European Ancestry| 2,170 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017838 | PGS003490 (cont-decay-ankle_spacing) |
PSS010439| South Asian Ancestry| 1,978 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017839 | PGS003491 (cont-decay-apoA) |
PSS010450| South Asian Ancestry| 5,419 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017840 | PGS003492 (cont-decay-apoB) |
PSS010461| South Asian Ancestry| 5,900 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017841 | PGS003493 (cont-decay-avMSE) |
PSS010472| South Asian Ancestry| 2,604 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017842 | PGS003494 (cont-decay-birth_weight) |
PSS010483| South Asian Ancestry| 1,501 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017843 | PGS003495 (cont-decay-cholesterol) |
PSS010494| South Asian Ancestry| 5,947 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017844 | PGS003496 (cont-decay-darker_hair0) |
PSS010505| South Asian Ancestry| 6,130 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017845 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010516| South Asian Ancestry| 3,525 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017846 | PGS003498 (cont-decay-diastolic_BP) |
PSS010522| South Asian Ancestry| 6,050 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017847 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010440| South Asian Ancestry| 159 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017848 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010441| South Asian Ancestry| 165 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017849 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010442| South Asian Ancestry| 165 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017851 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010444| South Asian Ancestry| 5,983 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017852 | PGS003504 (cont-decay-ever_cannabis) |
PSS010445| South Asian Ancestry| 784 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017853 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010446| South Asian Ancestry| 2,150 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017854 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010447| South Asian Ancestry| 724 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017855 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010448| South Asian Ancestry| 2,210 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017856 | PGS003508 (cont-decay-F_menarche) |
PSS010449| South Asian Ancestry| 2,633 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017857 | PGS003509 (cont-decay-fat_perc) |
PSS010451| South Asian Ancestry| 6,129 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017858 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010452| South Asian Ancestry| 652 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017859 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010453| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017860 | PGS003512 (cont-decay-haemoglobin) |
PSS010454| South Asian Ancestry| 6,025 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017861 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010455| South Asian Ancestry| 6,171 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017862 | PGS003514 (cont-decay-height) |
PSS010456| South Asian Ancestry| 6,100 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.23 | sex, age, deprivation index, PC1-16 | — |
| PPM017863 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010457| South Asian Ancestry| 5,888 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017865 | PGS003517 (cont-decay-LDL) |
PSS010459| South Asian Ancestry| 5,934 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017866 | PGS003518 (cont-decay-less_happy) |
PSS010460| South Asian Ancestry| 809 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017867 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010462| South Asian Ancestry| 815 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017868 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010463| South Asian Ancestry| 3,788 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017869 | PGS003521 (cont-decay-log_ALP) |
PSS010464| South Asian Ancestry| 5,947 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017870 | PGS003522 (cont-decay-log_ALT) |
PSS010465| South Asian Ancestry| 5,938 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017871 | PGS003523 (cont-decay-log_AST) |
PSS010466| South Asian Ancestry| 5,926 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017872 | PGS003524 (cont-decay-log_bilirubin) |
PSS010467| South Asian Ancestry| 5,929 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.33 | sex, age, deprivation index, PC1-16 | — |
| PPM017873 | PGS003525 (cont-decay-log_BMI) |
PSS010468| South Asian Ancestry| 6,093 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017874 | PGS003526 (cont-decay-log_creatinine) |
PSS010469| South Asian Ancestry| 5,949 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017875 | PGS003527 (cont-decay-log_CRP) |
PSS010470| South Asian Ancestry| 5,924 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017876 | PGS003528 (cont-decay-log_cystatinC) |
PSS010471| South Asian Ancestry| 5,948 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017878 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010474| South Asian Ancestry| 4,192 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017879 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010475| South Asian Ancestry| 6,134 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017880 | PGS003532 (cont-decay-log_fat_mass) |
PSS010476| South Asian Ancestry| 6,122 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017881 | PGS003533 (cont-decay-log_HbA1c) |
PSS010477| South Asian Ancestry| 5,884 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017882 | PGS003534 (cont-decay-log_HDL) |
PSS010478| South Asian Ancestry| 5,426 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017883 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010479| South Asian Ancestry| 1,965 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017885 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010481| South Asian Ancestry| 1,979 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017886 | PGS003538 (cont-decay-log_hip_circ) |
PSS010482| South Asian Ancestry| 6,215 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017887 | PGS003539 (cont-decay-log_IGF1) |
PSS010484| South Asian Ancestry| 5,908 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017888 | PGS003540 (cont-decay-log_impedance) |
PSS010485| South Asian Ancestry| 6,127 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017889 | PGS003541 (cont-decay-log_leukocyte) |
PSS010486| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017890 | PGS003542 (cont-decay-log_lipoA) |
PSS010487| South Asian Ancestry| 5,181 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017891 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010488| South Asian Ancestry| 5,946 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017892 | PGS003544 (cont-decay-log_monocyte) |
PSS010489| South Asian Ancestry| 6,008 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017893 | PGS003545 (cont-decay-log_neutrophil) |
PSS010490| South Asian Ancestry| 6,008 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017894 | PGS003546 (cont-decay-log_platelet) |
PSS010491| South Asian Ancestry| 6,024 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017895 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010492| South Asian Ancestry| 6,024 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017896 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010493| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.26 | sex, age, deprivation index, PC1-16 | — |
| PPM017897 | PGS003549 (cont-decay-log_platelet_width) |
PSS010495| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017898 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010496| South Asian Ancestry| 6,050 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017899 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010497| South Asian Ancestry| 5,886 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017900 | PGS003552 (cont-decay-log_SHBG) |
PSS010498| South Asian Ancestry| 5,386 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017901 | PGS003553 (cont-decay-log_urea) |
PSS010499| South Asian Ancestry| 5,949 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017902 | PGS003554 (cont-decay-log_vitaminD) |
PSS010500| South Asian Ancestry| 5,140 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017908 | PGS003560 (cont-decay-MCH) |
PSS010507| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017909 | PGS003561 (cont-decay-MCV) |
PSS010508| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017910 | PGS003562 (cont-decay-monocyte_perc) |
PSS010509| South Asian Ancestry| 5,958 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017911 | PGS003563 (cont-decay-more_evening) |
PSS010510| South Asian Ancestry| 5,368 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017912 | PGS003564 (cont-decay-myopia) |
PSS010511| South Asian Ancestry| 2,626 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017913 | PGS003565 (cont-decay-neuroticism) |
PSS010512| South Asian Ancestry| 3,839 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017914 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010513| South Asian Ancestry| 6,003 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017915 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010514| South Asian Ancestry| 5,886 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017916 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010515| South Asian Ancestry| 840 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017918 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010518| South Asian Ancestry| 5,885 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017919 | PGS003571 (cont-decay-systolic_BP) |
PSS010519| South Asian Ancestry| 6,050 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017920 | PGS003572 (cont-decay-urate) |
PSS010520| South Asian Ancestry| 5,937 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017921 | PGS003573 (cont-decay-years_of_edu) |
PSS010521| South Asian Ancestry| 4,749 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017922 | PGS003490 (cont-decay-ankle_spacing) |
PSS010355| East Asian Ancestry| 810 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017923 | PGS003491 (cont-decay-apoA) |
PSS010366| East Asian Ancestry| 1,533 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017924 | PGS003492 (cont-decay-apoB) |
PSS010377| East Asian Ancestry| 1,694 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017925 | PGS003493 (cont-decay-avMSE) |
PSS010388| East Asian Ancestry| 631 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017926 | PGS003494 (cont-decay-birth_weight) |
PSS010399| East Asian Ancestry| 713 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017927 | PGS003495 (cont-decay-cholesterol) |
PSS010410| East Asian Ancestry| 1,706 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017929 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010432| East Asian Ancestry| 751 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017930 | PGS003498 (cont-decay-diastolic_BP) |
PSS010438| East Asian Ancestry| 1,709 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017931 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010356| East Asian Ancestry| 73 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017932 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010357| East Asian Ancestry| 73 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017933 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010358| East Asian Ancestry| 72 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017934 | PGS003502 (cont-decay-erythrocyte) |
PSS010359| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017935 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010360| East Asian Ancestry| 1,744 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017936 | PGS003504 (cont-decay-ever_cannabis) |
PSS010361| East Asian Ancestry| 406 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017937 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010362| East Asian Ancestry| 586 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017938 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010363| East Asian Ancestry| 388 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017939 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010364| East Asian Ancestry| 1,023 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017940 | PGS003508 (cont-decay-F_menarche) |
PSS010365| East Asian Ancestry| 1,138 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017942 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010368| East Asian Ancestry| 345 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017943 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010369| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017945 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010371| East Asian Ancestry| 1,787 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017946 | PGS003514 (cont-decay-height) |
PSS010372| East Asian Ancestry| 1,789 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017947 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010373| East Asian Ancestry| 1,711 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017948 | PGS003516 (cont-decay-income) |
PSS010374| East Asian Ancestry| 1,406 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017949 | PGS003517 (cont-decay-LDL) |
PSS010375| East Asian Ancestry| 1,705 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017950 | PGS003518 (cont-decay-less_happy) |
PSS010376| East Asian Ancestry| 425 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017951 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010378| East Asian Ancestry| 424 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017952 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010379| East Asian Ancestry| 1,128 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017953 | PGS003521 (cont-decay-log_ALP) |
PSS010380| East Asian Ancestry| 1,706 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017954 | PGS003522 (cont-decay-log_ALT) |
PSS010381| East Asian Ancestry| 1,705 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017955 | PGS003523 (cont-decay-log_AST) |
PSS010382| East Asian Ancestry| 1,692 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017956 | PGS003524 (cont-decay-log_bilirubin) |
PSS010383| East Asian Ancestry| 1,691 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017957 | PGS003525 (cont-decay-log_BMI) |
PSS010384| East Asian Ancestry| 1,787 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017958 | PGS003526 (cont-decay-log_creatinine) |
PSS010385| East Asian Ancestry| 1,705 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017959 | PGS003527 (cont-decay-log_CRP) |
PSS010386| East Asian Ancestry| 1,699 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017960 | PGS003528 (cont-decay-log_cystatinC) |
PSS010387| East Asian Ancestry| 1,707 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017961 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010389| East Asian Ancestry| 115 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017963 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010391| East Asian Ancestry| 1,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017964 | PGS003532 (cont-decay-log_fat_mass) |
PSS010392| East Asian Ancestry| 1,754 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017965 | PGS003533 (cont-decay-log_HbA1c) |
PSS010393| East Asian Ancestry| 1,718 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017966 | PGS003534 (cont-decay-log_HDL) |
PSS010394| East Asian Ancestry| 1,552 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017967 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010395| East Asian Ancestry| 811 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017968 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010396| East Asian Ancestry| 810 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017969 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010397| East Asian Ancestry| 811 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017970 | PGS003538 (cont-decay-log_hip_circ) |
PSS010398| East Asian Ancestry| 1,790 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017971 | PGS003539 (cont-decay-log_IGF1) |
PSS010400| East Asian Ancestry| 1,699 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017972 | PGS003540 (cont-decay-log_impedance) |
PSS010401| East Asian Ancestry| 1,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017974 | PGS003542 (cont-decay-log_lipoA) |
PSS010403| East Asian Ancestry| 1,532 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017975 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010404| East Asian Ancestry| 1,705 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017976 | PGS003544 (cont-decay-log_monocyte) |
PSS010405| East Asian Ancestry| 1,748 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017977 | PGS003545 (cont-decay-log_neutrophil) |
PSS010406| East Asian Ancestry| 1,749 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017978 | PGS003546 (cont-decay-log_platelet) |
PSS010407| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017979 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010408| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017980 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010409| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017981 | PGS003549 (cont-decay-log_platelet_width) |
PSS010411| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017982 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010412| East Asian Ancestry| 1,709 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017983 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010413| East Asian Ancestry| 1,711 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017984 | PGS003552 (cont-decay-log_SHBG) |
PSS010414| East Asian Ancestry| 1,538 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017985 | PGS003553 (cont-decay-log_urea) |
PSS010415| East Asian Ancestry| 1,704 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017986 | PGS003554 (cont-decay-log_vitaminD) |
PSS010416| East Asian Ancestry| 1,651 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017987 | PGS003555 (cont-decay-log_waist_circ) |
PSS010417| East Asian Ancestry| 1,790 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017989 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010419| East Asian Ancestry| 1,749 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017990 | PGS003558 (cont-decay-M_less_hair) |
PSS010420| East Asian Ancestry| 574 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017991 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010422| East Asian Ancestry| 565 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017992 | PGS003560 (cont-decay-MCH) |
PSS010423| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017993 | PGS003561 (cont-decay-MCV) |
PSS010424| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017994 | PGS003562 (cont-decay-monocyte_perc) |
PSS010425| East Asian Ancestry| 1,732 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017995 | PGS003563 (cont-decay-more_evening) |
PSS010426| East Asian Ancestry| 1,600 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017996 | PGS003564 (cont-decay-myopia) |
PSS010427| East Asian Ancestry| 646 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017997 | PGS003565 (cont-decay-neuroticism) |
PSS010428| East Asian Ancestry| 1,139 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017998 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010429| East Asian Ancestry| 1,748 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017999 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010430| East Asian Ancestry| 1,711 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018000 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010431| East Asian Ancestry| 413 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018002 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010434| East Asian Ancestry| 1,711 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM018003 | PGS003571 (cont-decay-systolic_BP) |
PSS010435| East Asian Ancestry| 1,709 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018004 | PGS003572 (cont-decay-urate) |
PSS010436| East Asian Ancestry| 1,703 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM018069 | PGS003553 (cont-decay-log_urea) |
PSS010331| African Ancestry| 2,333 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018006 | PGS003490 (cont-decay-ankle_spacing) |
PSS010271| African Ancestry| 797 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018007 | PGS003491 (cont-decay-apoA) |
PSS010282| African Ancestry| 2,140 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018008 | PGS003492 (cont-decay-apoB) |
PSS010293| African Ancestry| 2,313 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM018009 | PGS003493 (cont-decay-avMSE) |
PSS010304| African Ancestry| 1,322 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018010 | PGS003494 (cont-decay-birth_weight) |
PSS010315| African Ancestry| 838 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018011 | PGS003495 (cont-decay-cholesterol) |
PSS010326| African Ancestry| 2,331 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018013 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010348| African Ancestry| 1,457 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018014 | PGS003498 (cont-decay-diastolic_BP) |
PSS010354| African Ancestry| 2,424 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018015 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010272| African Ancestry| 49 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018016 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010273| African Ancestry| 49 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018017 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010274| African Ancestry| 49 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018018 | PGS003502 (cont-decay-erythrocyte) |
PSS010275| African Ancestry| 2,329 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018019 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010276| African Ancestry| 2,315 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018020 | PGS003504 (cont-decay-ever_cannabis) |
PSS010277| African Ancestry| 333 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018021 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010278| African Ancestry| 928 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018022 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010279| African Ancestry| 431 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018023 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010280| African Ancestry| 1,233 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018024 | PGS003508 (cont-decay-F_menarche) |
PSS010281| African Ancestry| 1,469 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018025 | PGS003509 (cont-decay-fat_perc) |
PSS010283| African Ancestry| 2,406 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018026 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010284| African Ancestry| 266 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018028 | PGS003512 (cont-decay-haemoglobin) |
PSS010286| African Ancestry| 2,327 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018029 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010287| African Ancestry| 2,435 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018030 | PGS003514 (cont-decay-height) |
PSS010288| African Ancestry| 2,437 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM018031 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010289| African Ancestry| 2,282 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018032 | PGS003516 (cont-decay-income) |
PSS010290| African Ancestry| 1,874 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018033 | PGS003517 (cont-decay-LDL) |
PSS010291| African Ancestry| 2,326 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM018034 | PGS003518 (cont-decay-less_happy) |
PSS010292| African Ancestry| 368 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018035 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010294| African Ancestry| 374 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018036 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010295| African Ancestry| 1,805 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018037 | PGS003521 (cont-decay-log_ALP) |
PSS010296| African Ancestry| 2,332 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM018038 | PGS003522 (cont-decay-log_ALT) |
PSS010297| African Ancestry| 2,333 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018039 | PGS003523 (cont-decay-log_AST) |
PSS010298| African Ancestry| 2,318 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018040 | PGS003524 (cont-decay-log_bilirubin) |
PSS010299| African Ancestry| 2,314 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.25 | sex, age, deprivation index, PC1-16 | — |
| PPM018041 | PGS003525 (cont-decay-log_BMI) |
PSS010300| African Ancestry| 2,431 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018042 | PGS003526 (cont-decay-log_creatinine) |
PSS010301| African Ancestry| 2,333 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018043 | PGS003527 (cont-decay-log_CRP) |
PSS010302| African Ancestry| 2,327 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018044 | PGS003528 (cont-decay-log_cystatinC) |
PSS010303| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018046 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010306| African Ancestry| 1,285 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018047 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010307| African Ancestry| 2,408 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018048 | PGS003532 (cont-decay-log_fat_mass) |
PSS010308| African Ancestry| 2,406 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018049 | PGS003533 (cont-decay-log_HbA1c) |
PSS010309| African Ancestry| 2,089 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018050 | PGS003534 (cont-decay-log_HDL) |
PSS010310| African Ancestry| 2,149 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM018051 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010311| African Ancestry| 786 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018053 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010313| African Ancestry| 797 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018054 | PGS003538 (cont-decay-log_hip_circ) |
PSS010314| African Ancestry| 2,443 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018055 | PGS003539 (cont-decay-log_IGF1) |
PSS010316| African Ancestry| 2,316 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018056 | PGS003540 (cont-decay-log_impedance) |
PSS010317| African Ancestry| 2,405 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018057 | PGS003541 (cont-decay-log_leukocyte) |
PSS010318| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018058 | PGS003542 (cont-decay-log_lipoA) |
PSS010319| African Ancestry| 1,916 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018059 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010320| African Ancestry| 2,332 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018060 | PGS003544 (cont-decay-log_monocyte) |
PSS010321| African Ancestry| 2,323 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018061 | PGS003545 (cont-decay-log_neutrophil) |
PSS010322| African Ancestry| 2,323 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018062 | PGS003546 (cont-decay-log_platelet) |
PSS010323| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018063 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010324| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018064 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010325| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM018065 | PGS003549 (cont-decay-log_platelet_width) |
PSS010327| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018066 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010328| African Ancestry| 2,424 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018067 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010329| African Ancestry| 2,282 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018068 | PGS003552 (cont-decay-log_SHBG) |
PSS010330| African Ancestry| 2,129 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018071 | PGS003555 (cont-decay-log_waist_circ) |
PSS010333| African Ancestry| 2,444 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018072 | PGS003556 (cont-decay-log_water_mass) |
PSS010334| African Ancestry| 2,408 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018073 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010335| African Ancestry| 2,324 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018074 | PGS003558 (cont-decay-M_less_hair) |
PSS010336| African Ancestry| 838 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018075 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010338| African Ancestry| 842 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018076 | PGS003560 (cont-decay-MCH) |
PSS010339| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018077 | PGS003561 (cont-decay-MCV) |
PSS010340| African Ancestry| 2,329 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018078 | PGS003562 (cont-decay-monocyte_perc) |
PSS010341| African Ancestry| 2,285 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018080 | PGS003564 (cont-decay-myopia) |
PSS010343| African Ancestry| 1,335 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018081 | PGS003565 (cont-decay-neuroticism) |
PSS010344| African Ancestry| 1,756 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018082 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010345| African Ancestry| 2,321 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018083 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010346| African Ancestry| 2,281 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018084 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010347| African Ancestry| 355 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018085 | PGS003569 (cont-decay-sitting_height) |
PSS010349| African Ancestry| 2,430 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018086 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010350| African Ancestry| 2,280 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018087 | PGS003571 (cont-decay-systolic_BP) |
PSS010351| African Ancestry| 2,424 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018088 | PGS003572 (cont-decay-urate) |
PSS010352| African Ancestry| 2,331 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018089 | PGS003573 (cont-decay-years_of_edu) |
PSS010353| African Ancestry| 1,949 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018090 | PGS003490 (cont-decay-ankle_spacing) |
PSS010691| African Ancestry| 1,412 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018091 | PGS003491 (cont-decay-apoA) |
PSS010702| African Ancestry| 3,363 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein A | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018092 | PGS003492 (cont-decay-apoB) |
PSS010713| African Ancestry| 3,597 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Apolipoprotein B | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018093 | PGS003493 (cont-decay-avMSE) |
PSS010724| African Ancestry| 1,891 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: avMSE | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018095 | PGS003495 (cont-decay-cholesterol) |
PSS010746| African Ancestry| 3,627 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018096 | PGS003496 (cont-decay-darker_hair0) |
PSS010757| African Ancestry| 3,832 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018097 | PGS003497 (cont-decay-depressed_for_1w) |
PSS010768| African Ancestry| 2,067 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever depressed for a whole week | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018098 | PGS003498 (cont-decay-diastolic_BP) |
PSS010774| African Ancestry| 3,819 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Diastolic blood pressure, automated reading | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018099 | PGS003499 (cont-decay-ECG_PQ_interval) |
PSS010692| African Ancestry| 61 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: PQ interval | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018100 | PGS003500 (cont-decay-ECG_QT_interval) |
PSS010693| African Ancestry| 61 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QT interval | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018101 | PGS003501 (cont-decay-ECG_QTC_interval) |
PSS010694| African Ancestry| 61 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QTC interval | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018102 | PGS003502 (cont-decay-erythrocyte) |
PSS010695| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018104 | PGS003504 (cont-decay-ever_cannabis) |
PSS010697| African Ancestry| 481 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ever taken cannabis | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018105 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010698| African Ancestry| 1,421 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018106 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010699| African Ancestry| 527 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018107 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010700| African Ancestry| 1,662 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018108 | PGS003508 (cont-decay-F_menarche) |
PSS010701| African Ancestry| 1,905 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age when periods started (menarche) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018109 | PGS003509 (cont-decay-fat_perc) |
PSS010703| African Ancestry| 3,771 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018110 | PGS003510 (cont-decay-fluid_intelligence) |
PSS010704| African Ancestry| 322 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Fluid intelligence score | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018111 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010705| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018112 | PGS003512 (cont-decay-haemoglobin) |
PSS010706| African Ancestry| 3,680 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018113 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010707| African Ancestry| 3,819 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018114 | PGS003514 (cont-decay-height) |
PSS010708| African Ancestry| 3,834 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Standing height | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018115 | PGS003515 (cont-decay-immature_reticulocyte_frac) |
PSS010709| African Ancestry| 3,574 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Immature reticulocyte fraction | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018116 | PGS003516 (cont-decay-income) |
PSS010710| African Ancestry| 2,881 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018117 | PGS003517 (cont-decay-LDL) |
PSS010711| African Ancestry| 3,622 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018118 | PGS003518 (cont-decay-less_happy) |
PSS010712| African Ancestry| 502 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018119 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010714| African Ancestry| 510 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018120 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010715| African Ancestry| 2,741 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018121 | PGS003521 (cont-decay-log_ALP) |
PSS010716| African Ancestry| 3,629 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018122 | PGS003522 (cont-decay-log_ALT) |
PSS010717| African Ancestry| 3,627 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018124 | PGS003524 (cont-decay-log_bilirubin) |
PSS010719| African Ancestry| 3,611 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.23 | sex, age, deprivation index, PC1-16 | — |
| PPM018125 | PGS003525 (cont-decay-log_BMI) |
PSS010720| African Ancestry| 3,830 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018126 | PGS003526 (cont-decay-log_creatinine) |
PSS010721| African Ancestry| 3,626 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Creatinine | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018127 | PGS003527 (cont-decay-log_CRP) |
PSS010722| African Ancestry| 3,625 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: C-reactive protein | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018128 | PGS003528 (cont-decay-log_cystatinC) |
PSS010723| African Ancestry| 3,629 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cystatin C | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018129 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010725| African Ancestry| 116 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018130 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010726| African Ancestry| 2,085 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018131 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010727| African Ancestry| 3,771 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018132 | PGS003532 (cont-decay-log_fat_mass) |
PSS010728| African Ancestry| 3,766 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat mass | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018133 | PGS003533 (cont-decay-log_HbA1c) |
PSS010729| African Ancestry| 2,950 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Glycated haemoglobin (HbA1c) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018135 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010731| African Ancestry| 1,397 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018136 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010732| African Ancestry| 1,395 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018137 | PGS003537 (cont-decay-log_heel_SoS) |
PSS010733| African Ancestry| 1,412 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Speed of sound through heel | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018138 | PGS003538 (cont-decay-log_hip_circ) |
PSS010734| African Ancestry| 3,838 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hip circumference | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018139 | PGS003539 (cont-decay-log_IGF1) |
PSS010736| African Ancestry| 3,608 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: IGF-1 | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018140 | PGS003540 (cont-decay-log_impedance) |
PSS010737| African Ancestry| 3,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018141 | PGS003541 (cont-decay-log_leukocyte) |
PSS010738| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018142 | PGS003542 (cont-decay-log_lipoA) |
PSS010739| African Ancestry| 3,027 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lipoprotein A | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018143 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010740| African Ancestry| 3,625 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018144 | PGS003544 (cont-decay-log_monocyte) |
PSS010741| African Ancestry| 3,670 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018145 | PGS003545 (cont-decay-log_neutrophil) |
PSS010742| African Ancestry| 3,668 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil count | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018147 | PGS003547 (cont-decay-log_platelet_crit) |
PSS010744| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet crit | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018148 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010745| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018149 | PGS003549 (cont-decay-log_platelet_width) |
PSS010747| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018150 | PGS003550 (cont-decay-log_pulse_rate) |
PSS010748| African Ancestry| 3,819 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Pulse rate, automated reading | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018151 | PGS003551 (cont-decay-log_reticulocyte) |
PSS010749| African Ancestry| 3,574 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Reticulocyte count | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018152 | PGS003552 (cont-decay-log_SHBG) |
PSS010750| African Ancestry| 3,347 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018153 | PGS003553 (cont-decay-log_urea) |
PSS010751| African Ancestry| 3,626 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urea | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018154 | PGS003554 (cont-decay-log_vitaminD) |
PSS010752| African Ancestry| 3,541 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018155 | PGS003555 (cont-decay-log_waist_circ) |
PSS010753| African Ancestry| 3,839 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Waist circumference | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018156 | PGS003556 (cont-decay-log_water_mass) |
PSS010754| African Ancestry| 3,773 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018157 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010755| African Ancestry| 3,666 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018159 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010758| African Ancestry| 1,669 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018160 | PGS003560 (cont-decay-MCH) |
PSS010759| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018161 | PGS003561 (cont-decay-MCV) |
PSS010760| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018162 | PGS003562 (cont-decay-monocyte_perc) |
PSS010761| African Ancestry| 3,634 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018163 | PGS003563 (cont-decay-more_evening) |
PSS010762| African Ancestry| 3,156 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018164 | PGS003564 (cont-decay-myopia) |
PSS010763| African Ancestry| 1,897 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Myopia diagnosis | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018165 | PGS003565 (cont-decay-neuroticism) |
PSS010764| African Ancestry| 2,505 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neuroticism score | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018166 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010765| African Ancestry| 3,652 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018167 | PGS003567 (cont-decay-reticulocyte_volume) |
PSS010766| African Ancestry| 3,574 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean reticulocyte volume | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018168 | PGS003568 (cont-decay-sensitive_stomach) |
PSS010767| African Ancestry| 478 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sensitive stomach | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018169 | PGS003569 (cont-decay-sitting_height) |
PSS010769| African Ancestry| 3,828 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018171 | PGS003571 (cont-decay-systolic_BP) |
PSS010771| African Ancestry| 3,819 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018172 | PGS003572 (cont-decay-urate) |
PSS010772| African Ancestry| 3,623 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Urate | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018173 | PGS003573 (cont-decay-years_of_edu) |
PSS010773| African Ancestry| 3,277 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017423 | PGS003495 (cont-decay-cholesterol) |
PSS010914| European Ancestry| 19,116 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017488 | PGS003560 (cont-decay-MCH) |
PSS010927| European Ancestry| 19,414 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017489 | PGS003561 (cont-decay-MCV) |
PSS010928| European Ancestry| 19,418 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular volume | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017490 | PGS003562 (cont-decay-monocyte_perc) |
PSS010929| European Ancestry| 19,237 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017555 | PGS003543 (cont-decay-log_log_gammaGT) |
PSS010824| European Ancestry| 3,937 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Gamma glutamyltransferase | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017424 | PGS003496 (cont-decay-darker_hair0) |
PSS010925| European Ancestry| 18,819 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.28 | sex, age, deprivation index, PC1-16 | — |
| PPM017430 | PGS003502 (cont-decay-erythrocyte) |
PSS010863| European Ancestry| 19,416 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017444 | PGS003516 (cont-decay-income) |
PSS010878| European Ancestry| 17,153 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017463 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010899| European Ancestry| 11,350 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017476 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010913| European Ancestry| 19,418 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.34 | sex, age, deprivation index, PC1-16 | — |
| PPM017491 | PGS003563 (cont-decay-more_evening) |
PSS010930| European Ancestry| 17,864 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017501 | PGS003573 (cont-decay-years_of_edu) |
PSS010941| European Ancestry| 16,423 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017514 | PGS003502 (cont-decay-erythrocyte) |
PSS010779| European Ancestry| 3,990 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017528 | PGS003516 (cont-decay-income) |
PSS010794| European Ancestry| 3,468 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017547 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010815| European Ancestry| 2,145 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017556 | PGS003544 (cont-decay-log_monocyte) |
PSS010825| European Ancestry| 3,982 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte count | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017564 | PGS003552 (cont-decay-log_SHBG) |
PSS010834| European Ancestry| 3,551 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017578 | PGS003566 (cont-decay-neutrophil_perc) |
PSS010849| European Ancestry| 3,977 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Neutrophil percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017591 | PGS003495 (cont-decay-cholesterol) |
PSS010662| European Ancestry| 6,174 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Cholesterol | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017602 | PGS003506 (cont-decay-F_length_menstrual_cycle) |
PSS010615| European Ancestry| 920 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Length of menstrual cycle | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017613 | PGS003517 (cont-decay-LDL) |
PSS010627| European Ancestry| 6,160 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: LDL direct | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017615 | PGS003519 (cont-decay-less_happy_with_health) |
PSS010630| European Ancestry| 2,183 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: General happiness with own health | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017616 | PGS003520 (cont-decay-log_age_first_sex) |
PSS010631| European Ancestry| 5,575 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age first had sexual intercourse | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017617 | PGS003521 (cont-decay-log_ALP) |
PSS010632| European Ancestry| 6,173 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alkaline phosphatase | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017618 | PGS003522 (cont-decay-log_ALT) |
PSS010633| European Ancestry| 6,169 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Alanine aminotransferase | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017619 | PGS003523 (cont-decay-log_AST) |
PSS010634| European Ancestry| 6,155 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017620 | PGS003524 (cont-decay-log_bilirubin) |
PSS010635| European Ancestry| 6,151 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Total bilirubin | — | — | partial-R2: 0.36 | sex, age, deprivation index, PC1-16 | — |
| PPM017626 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010642| European Ancestry| 3,283 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017637 | PGS003541 (cont-decay-log_leukocyte) |
PSS010654| European Ancestry| 6,278 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017653 | PGS003557 (cont-decay-lymphocyte_perc) |
PSS010671| European Ancestry| 6,258 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Lymphocyte percentage | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017666 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010686| European Ancestry| 6,139 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017676 | PGS003496 (cont-decay-darker_hair0) |
PSS010589| Greater Middle Eastern Ancestry| 1,132 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017685 | PGS003505 (cont-decay-F_age_first_birth) |
PSS010530| Greater Middle Eastern Ancestry| 292 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Age at first live birth | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017696 | PGS003516 (cont-decay-income) |
PSS010542| Greater Middle Eastern Ancestry| 809 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017715 | PGS003535 (cont-decay-log_heel_BMD) |
PSS010563| Greater Middle Eastern Ancestry| 487 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel bone mineral density (BMD) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017728 | PGS003548 (cont-decay-log_platelet_volume) |
PSS010577| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean platelet (thrombocyte) volume | — | — | partial-R2: 0.26 | sex, age, deprivation index, PC1-16 | — |
| PPM017742 | PGS003562 (cont-decay-monocyte_perc) |
PSS010593| Greater Middle Eastern Ancestry| 1,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Monocyte percentage | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017749 | PGS003569 (cont-decay-sitting_height) |
PSS010601| Greater Middle Eastern Ancestry| 1,148 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017758 | PGS003494 (cont-decay-birth_weight) |
PSS010231| European Ancestry| 1,260 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017767 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010192| European Ancestry| 2,258 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017787 | PGS003523 (cont-decay-log_AST) |
PSS010214| European Ancestry| 2,233 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017800 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010228| European Ancestry| 1,382 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017813 | PGS003549 (cont-decay-log_platelet_width) |
PSS010243| European Ancestry| 2,264 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet distribution width | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017824 | PGS003560 (cont-decay-MCH) |
PSS010255| European Ancestry| 2,263 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean corpuscular haemoglobin | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017835 | PGS003571 (cont-decay-systolic_BP) |
PSS010267| European Ancestry| 2,194 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Systolic blood pressure, automated reading | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017850 | PGS003502 (cont-decay-erythrocyte) |
PSS010443| South Asian Ancestry| 6,026 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) count | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017864 | PGS003516 (cont-decay-income) |
PSS010458| South Asian Ancestry| 4,548 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Average total household income before tax | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017877 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010473| South Asian Ancestry| 253 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017884 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010480| South Asian Ancestry| 1,961 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017904 | PGS003556 (cont-decay-log_water_mass) |
PSS010502| South Asian Ancestry| 6,134 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017917 | PGS003569 (cont-decay-sitting_height) |
PSS010517| South Asian Ancestry| 6,072 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017928 | PGS003496 (cont-decay-darker_hair0) |
PSS010421| East Asian Ancestry| 1,785 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017941 | PGS003509 (cont-decay-fat_perc) |
PSS010367| East Asian Ancestry| 1,767 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017944 | PGS003512 (cont-decay-haemoglobin) |
PSS010370| East Asian Ancestry| 1,749 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haemoglobin concentration | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017962 | PGS003530 (cont-decay-log_eosinophil_perc) |
PSS010390| East Asian Ancestry| 973 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Eosinophil percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017973 | PGS003541 (cont-decay-log_leukocyte) |
PSS010402| East Asian Ancestry| 1,750 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: White blood cell (leukocyte) count | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017988 | PGS003556 (cont-decay-log_water_mass) |
PSS010418| East Asian Ancestry| 1,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018001 | PGS003569 (cont-decay-sitting_height) |
PSS010433| East Asian Ancestry| 1,788 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM018005 | PGS003573 (cont-decay-years_of_edu) |
PSS010437| East Asian Ancestry| 1,523 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Qualifications (years of education) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018012 | PGS003496 (cont-decay-darker_hair0) |
PSS010337| African Ancestry| 2,414 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair colour (natural, before greying) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018027 | PGS003511 (cont-decay-haematocrit_perc) |
PSS010285| African Ancestry| 2,330 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Haematocrit percentage | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018045 | PGS003529 (cont-decay-log_ECG_QRS_duration) |
PSS010305| African Ancestry| 67 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: QRS duration | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018052 | PGS003536 (cont-decay-log_heel_BUA) |
PSS010312| African Ancestry| 791 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Heel Broadband ultrasound attenuation, direct entry | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018070 | PGS003554 (cont-decay-log_vitaminD) |
PSS010332| African Ancestry| 2,254 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Vitamin D | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018079 | PGS003563 (cont-decay-more_evening) |
PSS010342| African Ancestry| 2,172 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Morning/evening person (chronotype) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018094 | PGS003494 (cont-decay-birth_weight) |
PSS010735| African Ancestry| 785 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018103 | PGS003503 (cont-decay-erythrocyte_width) |
PSS010696| African Ancestry| 3,651 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Red blood cell (erythrocyte) distribution width | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018123 | PGS003523 (cont-decay-log_AST) |
PSS010718| African Ancestry| 3,611 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Aspartate aminotransferase | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018134 | PGS003534 (cont-decay-log_HDL) |
PSS010730| African Ancestry| 3,374 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018146 | PGS003546 (cont-decay-log_platelet) |
PSS010743| African Ancestry| 3,682 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Platelet count | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018158 | PGS003558 (cont-decay-M_less_hair) |
PSS010756| African Ancestry| 1,707 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hair/balding pattern | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018170 | PGS003570 (cont-decay-sphered_cell_volume) |
PSS010770| African Ancestry| 3,573 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Mean sphered cell volume | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS010187 | — | — | 1,381 individuals, 46.0 % Male samples |
Mean = 57.7 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010188 | — | — | 103 individuals, 55.0 % Male samples |
Mean = 56.0 years Sd = 6.1 years |
European | Ashkenazi | UKB | — |
| PSS010189 | — | — | 107 individuals, 54.0 % Male samples |
Mean = 56.2 years Sd = 6.4 years |
European | Ashkenazi | UKB | — |
| PSS010190 | — | — | 107 individuals, 54.0 % Male samples |
Mean = 56.2 years Sd = 6.4 years |
European | Ashkenazi | UKB | — |
| PSS010191 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010192 | — | — | 2,258 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010193 | — | — | 837 individuals, 43.0 % Male samples |
Mean = 57.7 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010194 | — | — | 857 individuals, 0.0 % Male samples |
Mean = 58.5 years Sd = 6.8 years |
European | Ashkenazi | UKB | — |
| PSS010195 | — | — | 157 individuals, 0.0 % Male samples |
Mean = 47.0 years Sd = 3.9 years |
European | Ashkenazi | UKB | — |
| PSS010196 | — | — | 943 individuals, 0.0 % Male samples |
Mean = 57.4 years Sd = 7.2 years |
European | Ashkenazi | UKB | — |
| PSS010197 | — | — | 1,248 individuals, 0.0 % Male samples |
Mean = 57.8 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010198 | — | — | 2,045 individuals, 46.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010199 | — | — | 2,315 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010200 | — | — | 799 individuals, 43.0 % Male samples |
Mean = 57.7 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS010201 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010202 | — | — | 2,263 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010203 | — | — | 2,336 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010204 | — | — | 2,346 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010205 | — | — | 2,221 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010206 | — | — | 1,950 individuals, 47.0 % Male samples |
Mean = 57.8 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010207 | — | — | 2,235 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010208 | — | — | 940 individuals, 43.0 % Male samples |
Mean = 57.6 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010209 | — | — | 2,234 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010210 | — | — | 948 individuals, 43.0 % Male samples |
Mean = 57.6 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010211 | — | — | 2,080 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010212 | — | — | 2,238 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010213 | — | — | 2,238 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010214 | — | — | 2,233 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010215 | — | — | 2,230 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010216 | — | — | 2,344 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010217 | — | — | 2,235 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010218 | — | — | 2,236 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010219 | — | — | 2,236 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010220 | — | — | 467 individuals, 43.0 % Male samples |
Mean = 58.9 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS010221 | — | — | 186 individuals, 55.0 % Male samples |
Mean = 56.5 years Sd = 6.4 years |
European | Ashkenazi | UKB | — |
| PSS010222 | — | — | 1,249 individuals, 48.0 % Male samples |
Mean = 58.2 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS010223 | — | — | 2,318 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010224 | — | — | 2,313 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010225 | — | — | 2,233 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010226 | — | — | 2,058 individuals, 46.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010227 | — | — | 1,383 individuals, 46.0 % Male samples |
Mean = 57.7 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010228 | — | — | 1,382 individuals, 47.0 % Male samples |
Mean = 57.7 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010229 | — | — | 1,384 individuals, 47.0 % Male samples |
Mean = 57.7 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010230 | — | — | 2,344 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010231 | — | — | 1,260 individuals, 39.0 % Male samples |
Mean = 57.0 years Sd = 7.2 years |
European | Ashkenazi | UKB | — |
| PSS010232 | — | — | 2,227 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010233 | — | — | 2,316 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010234 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010235 | — | — | 1,954 individuals, 46.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010236 | — | — | 2,237 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010237 | — | — | 2,256 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010238 | — | — | 2,259 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010239 | — | — | 2,263 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010240 | — | — | 2,263 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010241 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010242 | — | — | 2,237 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010243 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010244 | — | — | 2,194 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010245 | — | — | 2,221 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010246 | — | — | 2,029 individuals, 46.0 % Male samples |
Mean = 58.1 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010247 | — | — | 2,235 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010248 | — | — | 2,125 individuals, 46.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010249 | — | — | 2,344 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010250 | — | — | 2,318 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010251 | — | — | 2,258 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010252 | — | — | 1,045 individuals, 100.0 % Male samples |
Mean = 58.4 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010253 | — | — | 2,281 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010254 | — | — | 1,002 individuals, 100.0 % Male samples |
Mean = 58.4 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010255 | — | — | 2,263 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010256 | — | — | 2,264 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010257 | — | — | 2,241 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010258 | — | — | 2,039 individuals, 43.0 % Male samples |
Mean = 58.1 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010259 | — | — | 480 individuals, 43.0 % Male samples |
Mean = 58.9 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS010260 | — | — | 1,892 individuals, 46.0 % Male samples |
Mean = 57.9 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010261 | — | — | 2,256 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010262 | — | — | 2,221 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010263 | — | — | 976 individuals, 43.0 % Male samples |
Mean = 57.5 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS010264 | — | — | 593 individuals, 43.0 % Male samples |
Mean = 58.7 years Sd = 6.9 years |
European | Ashkenazi | UKB | — |
| PSS010265 | — | — | 2,335 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010266 | — | — | 2,220 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010267 | — | — | 2,194 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010268 | — | — | 2,232 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010269 | — | — | 2,170 individuals, 45.0 % Male samples |
Mean = 57.7 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010270 | — | — | 2,194 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010271 | — | — | 797 individuals, 35.0 % Male samples |
Mean = 52.3 years Sd = 8.2 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010272 | — | — | 49 individuals, 31.0 % Male samples |
Mean = 48.8 years Sd = 6.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010273 | — | — | 49 individuals, 31.0 % Male samples |
Mean = 48.8 years Sd = 6.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010274 | — | — | 49 individuals, 31.0 % Male samples |
Mean = 48.8 years Sd = 6.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010275 | — | — | 2,329 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010276 | — | — | 2,315 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010277 | — | — | 333 individuals, 32.0 % Male samples |
Mean = 50.5 years Sd = 7.5 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010278 | — | — | 928 individuals, 0.0 % Male samples |
Mean = 53.9 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010279 | — | — | 431 individuals, 0.0 % Male samples |
Mean = 45.8 years Sd = 3.8 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010280 | — | — | 1,233 individuals, 0.0 % Male samples |
Mean = 52.1 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010281 | — | — | 1,469 individuals, 0.0 % Male samples |
Mean = 52.2 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010282 | — | — | 2,140 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010283 | — | — | 2,406 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010284 | — | — | 266 individuals, 34.0 % Male samples |
Mean = 50.4 years Sd = 7.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010285 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010286 | — | — | 2,327 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010287 | — | — | 2,435 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010288 | — | — | 2,437 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010289 | — | — | 2,282 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010290 | — | — | 1,874 individuals, 37.0 % Male samples |
Mean = 51.6 years Sd = 7.6 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010291 | — | — | 2,326 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010292 | — | — | 368 individuals, 32.0 % Male samples |
Mean = 50.5 years Sd = 7.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010293 | — | — | 2,313 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010294 | — | — | 374 individuals, 31.0 % Male samples |
Mean = 50.4 years Sd = 7.3 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010295 | — | — | 1,805 individuals, 36.0 % Male samples |
Mean = 51.7 years Sd = 7.7 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010296 | — | — | 2,332 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010297 | — | — | 2,333 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010298 | — | — | 2,318 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010299 | — | — | 2,314 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010300 | — | — | 2,431 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010301 | — | — | 2,333 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010302 | — | — | 2,327 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010303 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010304 | — | — | 1,322 individuals, 37.0 % Male samples |
Mean = 52.8 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010305 | — | — | 67 individuals, 30.0 % Male samples |
Mean = 49.8 years Sd = 6.5 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010306 | — | — | 1,285 individuals, 40.0 % Male samples |
Mean = 52.3 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010307 | — | — | 2,408 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010308 | — | — | 2,406 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010309 | — | — | 2,089 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010310 | — | — | 2,149 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010311 | — | — | 786 individuals, 35.0 % Male samples |
Mean = 52.2 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010312 | — | — | 791 individuals, 35.0 % Male samples |
Mean = 52.2 years Sd = 8.2 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010313 | — | — | 797 individuals, 35.0 % Male samples |
Mean = 52.3 years Sd = 8.2 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010314 | — | — | 2,443 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010315 | — | — | 838 individuals, 34.0 % Male samples |
Mean = 50.5 years Sd = 7.6 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010316 | — | — | 2,316 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010317 | — | — | 2,405 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010318 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010319 | — | — | 1,916 individuals, 38.0 % Male samples |
Mean = 52.4 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010320 | — | — | 2,332 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010321 | — | — | 2,323 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010322 | — | — | 2,323 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010323 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010324 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010325 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010326 | — | — | 2,331 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010327 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010328 | — | — | 2,424 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010329 | — | — | 2,282 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010330 | — | — | 2,129 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010331 | — | — | 2,333 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010332 | — | — | 2,254 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010333 | — | — | 2,444 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010334 | — | — | 2,408 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010335 | — | — | 2,324 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010336 | — | — | 838 individuals, 100.0 % Male samples |
Mean = 52.8 years Sd = 8.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010337 | — | — | 2,414 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010338 | — | — | 842 individuals, 100.0 % Male samples |
Mean = 52.8 years Sd = 8.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010339 | — | — | 2,330 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010340 | — | — | 2,329 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010341 | — | — | 2,285 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010342 | — | — | 2,172 individuals, 35.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010343 | — | — | 1,335 individuals, 37.0 % Male samples |
Mean = 52.8 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010344 | — | — | 1,756 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010345 | — | — | 2,321 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010346 | — | — | 2,281 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010347 | — | — | 355 individuals, 33.0 % Male samples |
Mean = 50.7 years Sd = 7.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010348 | — | — | 1,457 individuals, 37.0 % Male samples |
Mean = 52.6 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010349 | — | — | 2,430 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010350 | — | — | 2,280 individuals, 37.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010351 | — | — | 2,424 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010352 | — | — | 2,331 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010353 | — | — | 1,949 individuals, 32.0 % Male samples |
Mean = 51.2 years Sd = 7.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010354 | — | — | 2,424 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010355 | — | — | 810 individuals, 35.0 % Male samples |
Mean = 51.9 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS010356 | — | — | 73 individuals, 34.0 % Male samples |
Mean = 50.3 years Sd = 7.1 years |
East Asian | Chinese | UKB | — |
| PSS010357 | — | — | 73 individuals, 34.0 % Male samples |
Mean = 50.3 years Sd = 7.1 years |
East Asian | Chinese | UKB | — |
| PSS010358 | — | — | 72 individuals, 35.0 % Male samples |
Mean = 50.2 years Sd = 7.1 years |
East Asian | Chinese | UKB | — |
| PSS010359 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010360 | — | — | 1,744 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010361 | — | — | 406 individuals, 25.0 % Male samples |
Mean = 52.3 years Sd = 7.3 years |
East Asian | Chinese | UKB | — |
| PSS010362 | — | — | 586 individuals, 0.0 % Male samples |
Mean = 53.5 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS010363 | — | — | 388 individuals, 0.0 % Male samples |
Mean = 45.6 years Sd = 3.8 years |
East Asian | Chinese | UKB | — |
| PSS010364 | — | — | 1,023 individuals, 0.0 % Male samples |
Mean = 52.1 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS010365 | — | — | 1,138 individuals, 0.0 % Male samples |
Mean = 52.4 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS010366 | — | — | 1,533 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010367 | — | — | 1,767 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010368 | — | — | 345 individuals, 27.0 % Male samples |
Mean = 52.1 years Sd = 7.6 years |
East Asian | Chinese | UKB | — |
| PSS010369 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010370 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010371 | — | — | 1,787 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010372 | — | — | 1,789 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010373 | — | — | 1,711 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010374 | — | — | 1,406 individuals, 35.0 % Male samples |
Mean = 52.3 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010375 | — | — | 1,705 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010376 | — | — | 425 individuals, 27.0 % Male samples |
Mean = 52.4 years Sd = 7.3 years |
East Asian | Chinese | UKB | — |
| PSS010377 | — | — | 1,694 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010378 | — | — | 424 individuals, 26.0 % Male samples |
Mean = 52.3 years Sd = 7.3 years |
East Asian | Chinese | UKB | — |
| PSS010379 | — | — | 1,128 individuals, 36.0 % Male samples |
Mean = 51.7 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010380 | — | — | 1,706 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010381 | — | — | 1,705 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010382 | — | — | 1,692 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010383 | — | — | 1,691 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010384 | — | — | 1,787 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010385 | — | — | 1,705 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010386 | — | — | 1,699 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010387 | — | — | 1,707 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010388 | — | — | 631 individuals, 31.0 % Male samples |
Mean = 53.8 years Sd = 8.1 years |
East Asian | Chinese | UKB | — |
| PSS010389 | — | — | 115 individuals, 35.0 % Male samples |
Mean = 51.1 years Sd = 6.9 years |
East Asian | Chinese | UKB | — |
| PSS010390 | — | — | 973 individuals, 38.0 % Male samples |
Mean = 52.5 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010391 | — | — | 1,770 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010392 | — | — | 1,754 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010393 | — | — | 1,718 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010394 | — | — | 1,552 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010395 | — | — | 811 individuals, 35.0 % Male samples |
Mean = 51.9 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS010396 | — | — | 810 individuals, 35.0 % Male samples |
Mean = 51.9 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS010397 | — | — | 811 individuals, 35.0 % Male samples |
Mean = 51.9 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS010398 | — | — | 1,790 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010399 | — | — | 713 individuals, 27.0 % Male samples |
Mean = 50.5 years Sd = 7.2 years |
East Asian | Chinese | UKB | — |
| PSS010400 | — | — | 1,699 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010401 | — | — | 1,770 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010402 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010403 | — | — | 1,532 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010404 | — | — | 1,705 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010405 | — | — | 1,748 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010406 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010407 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010408 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010409 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010410 | — | — | 1,706 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010411 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010412 | — | — | 1,709 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010413 | — | — | 1,711 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010414 | — | — | 1,538 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010415 | — | — | 1,704 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010416 | — | — | 1,651 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010417 | — | — | 1,790 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010418 | — | — | 1,770 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010419 | — | — | 1,749 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010420 | — | — | 574 individuals, 100.0 % Male samples |
Mean = 52.3 years Sd = 8.2 years |
East Asian | Chinese | UKB | — |
| PSS010421 | — | — | 1,785 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010422 | — | — | 565 individuals, 100.0 % Male samples |
Mean = 52.3 years Sd = 8.2 years |
East Asian | Chinese | UKB | — |
| PSS010423 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010424 | — | — | 1,750 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010425 | — | — | 1,732 individuals, 34.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010426 | — | — | 1,600 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010427 | — | — | 646 individuals, 31.0 % Male samples |
Mean = 53.8 years Sd = 8.1 years |
East Asian | Chinese | UKB | — |
| PSS010428 | — | — | 1,139 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010429 | — | — | 1,748 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010430 | — | — | 1,711 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010431 | — | — | 413 individuals, 25.0 % Male samples |
Mean = 52.5 years Sd = 7.2 years |
East Asian | Chinese | UKB | — |
| PSS010432 | — | — | 751 individuals, 30.0 % Male samples |
Mean = 53.5 years Sd = 8.1 years |
East Asian | Chinese | UKB | — |
| PSS010433 | — | — | 1,788 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010434 | — | — | 1,711 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010435 | — | — | 1,709 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010436 | — | — | 1,703 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010437 | — | — | 1,523 individuals, 32.0 % Male samples |
Mean = 52.3 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS010438 | — | — | 1,709 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010439 | — | — | 1,978 individuals, 56.0 % Male samples |
Mean = 52.7 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010440 | — | — | 159 individuals, 65.0 % Male samples |
Mean = 51.1 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010441 | — | — | 165 individuals, 66.0 % Male samples |
Mean = 51.2 years Sd = 8.1 years |
South Asian | Indian | UKB | — |
| PSS010442 | — | — | 165 individuals, 66.0 % Male samples |
Mean = 51.1 years Sd = 8.1 years |
South Asian | Indian | UKB | — |
| PSS010443 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010444 | — | — | 5,983 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010445 | — | — | 784 individuals, 57.0 % Male samples |
Mean = 52.7 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010446 | — | — | 2,150 individuals, 0.0 % Male samples |
Mean = 53.4 years Sd = 8.0 years |
South Asian | Indian | UKB | — |
| PSS010447 | — | — | 724 individuals, 0.0 % Male samples |
Mean = 45.2 years Sd = 4.4 years |
South Asian | Indian | UKB | — |
| PSS010448 | — | — | 2,210 individuals, 0.0 % Male samples |
Mean = 52.4 years Sd = 8.1 years |
South Asian | Indian | UKB | — |
| PSS010449 | — | — | 2,633 individuals, 0.0 % Male samples |
Mean = 52.8 years Sd = 8.0 years |
South Asian | Indian | UKB | — |
| PSS010450 | — | — | 5,419 individuals, 55.0 % Male samples |
Mean = 53.2 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010451 | — | — | 6,129 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010452 | — | — | 652 individuals, 54.0 % Male samples |
Mean = 52.5 years Sd = 8.3 years |
South Asian | Indian | UKB | — |
| PSS010453 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010454 | — | — | 6,025 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010455 | — | — | 6,171 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010456 | — | — | 6,100 individuals, 53.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010457 | — | — | 5,888 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010458 | — | — | 4,548 individuals, 58.0 % Male samples |
Mean = 52.9 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010459 | — | — | 5,934 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010460 | — | — | 809 individuals, 57.0 % Male samples |
Mean = 52.7 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010461 | — | — | 5,900 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010462 | — | — | 815 individuals, 57.0 % Male samples |
Mean = 52.6 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010463 | — | — | 3,788 individuals, 58.0 % Male samples |
Mean = 52.4 years Sd = 8.3 years |
South Asian | Indian | UKB | — |
| PSS010464 | — | — | 5,947 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010465 | — | — | 5,938 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010466 | — | — | 5,926 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010467 | — | — | 5,929 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010468 | — | — | 6,093 individuals, 53.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010469 | — | — | 5,949 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010470 | — | — | 5,924 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010471 | — | — | 5,948 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010472 | — | — | 2,604 individuals, 54.0 % Male samples |
Mean = 53.6 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010473 | — | — | 253 individuals, 66.0 % Male samples |
Mean = 51.4 years Sd = 7.9 years |
South Asian | Indian | UKB | — |
| PSS010474 | — | — | 4,192 individuals, 58.0 % Male samples |
Mean = 53.4 years Sd = 8.5 years |
South Asian | Indian | UKB | — |
| PSS010475 | — | — | 6,134 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010476 | — | — | 6,122 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010477 | — | — | 5,884 individuals, 54.0 % Male samples |
Mean = 53.4 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010478 | — | — | 5,426 individuals, 55.0 % Male samples |
Mean = 53.2 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010479 | — | — | 1,965 individuals, 55.0 % Male samples |
Mean = 52.7 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010480 | — | — | 1,961 individuals, 56.0 % Male samples |
Mean = 52.7 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010481 | — | — | 1,979 individuals, 56.0 % Male samples |
Mean = 52.7 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010482 | — | — | 6,215 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010483 | — | — | 1,501 individuals, 49.0 % Male samples |
Mean = 51.1 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010484 | — | — | 5,908 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010485 | — | — | 6,127 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010486 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010487 | — | — | 5,181 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010488 | — | — | 5,946 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010489 | — | — | 6,008 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010490 | — | — | 6,008 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010491 | — | — | 6,024 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010492 | — | — | 6,024 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010493 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010494 | — | — | 5,947 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010495 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010496 | — | — | 6,050 individuals, 54.0 % Male samples |
Mean = 53.4 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010497 | — | — | 5,886 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010498 | — | — | 5,386 individuals, 55.0 % Male samples |
Mean = 53.2 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010499 | — | — | 5,949 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010500 | — | — | 5,140 individuals, 55.0 % Male samples |
Mean = 53.5 years Sd = 8.5 years |
South Asian | Indian | UKB | — |
| PSS010501 | — | — | 6,215 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010502 | — | — | 6,134 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010503 | — | — | 6,004 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010504 | — | — | 3,222 individuals, 100.0 % Male samples |
Mean = 53.6 years Sd = 8.7 years |
South Asian | Indian | UKB | — |
| PSS010505 | — | — | 6,130 individuals, 54.0 % Male samples |
Mean = 53.2 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010506 | — | — | 3,208 individuals, 100.0 % Male samples |
Mean = 53.6 years Sd = 8.7 years |
South Asian | Indian | UKB | — |
| PSS010507 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010508 | — | — | 6,026 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010509 | — | — | 5,958 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010510 | — | — | 5,368 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010511 | — | — | 2,626 individuals, 54.0 % Male samples |
Mean = 53.6 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010512 | — | — | 3,839 individuals, 55.0 % Male samples |
Mean = 52.9 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010513 | — | — | 6,003 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010514 | — | — | 5,886 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010515 | — | — | 840 individuals, 55.0 % Male samples |
Mean = 52.5 years Sd = 8.3 years |
South Asian | Indian | UKB | — |
| PSS010516 | — | — | 3,525 individuals, 53.0 % Male samples |
Mean = 53.7 years Sd = 8.5 years |
South Asian | Indian | UKB | — |
| PSS010517 | — | — | 6,072 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010518 | — | — | 5,885 individuals, 55.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010519 | — | — | 6,050 individuals, 54.0 % Male samples |
Mean = 53.4 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010520 | — | — | 5,937 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010521 | — | — | 4,749 individuals, 56.0 % Male samples |
Mean = 52.9 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010522 | — | — | 6,050 individuals, 54.0 % Male samples |
Mean = 53.4 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010523 | — | — | 488 individuals, 65.0 % Male samples |
Mean = 51.1 years Sd = 7.6 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010524 | — | — | 25 individuals, 64.0 % Male samples |
Mean = 52.6 years Sd = 6.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010525 | — | — | 26 individuals, 65.0 % Male samples |
Mean = 52.8 years Sd = 6.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010526 | — | — | 26 individuals, 65.0 % Male samples |
Mean = 52.8 years Sd = 6.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010527 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010528 | — | — | 1,114 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010529 | — | — | 186 individuals, 57.0 % Male samples |
Mean = 54.0 years Sd = 7.2 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010530 | — | — | 292 individuals, 0.0 % Male samples |
Mean = 53.0 years Sd = 8.1 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010531 | — | — | 145 individuals, 0.0 % Male samples |
Mean = 45.9 years Sd = 4.5 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010532 | — | — | 372 individuals, 0.0 % Male samples |
Mean = 51.2 years Sd = 7.7 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010533 | — | — | 442 individuals, 0.0 % Male samples |
Mean = 52.2 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010534 | — | — | 1,004 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010535 | — | — | 1,123 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010536 | — | — | 158 individuals, 56.0 % Male samples |
Mean = 54.5 years Sd = 7.6 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010537 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010538 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010539 | — | — | 1,139 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010540 | — | — | 1,151 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010541 | — | — | 1,097 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010542 | — | — | 809 individuals, 61.0 % Male samples |
Mean = 52.7 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010543 | — | — | 1,093 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010544 | — | — | 199 individuals, 56.0 % Male samples |
Mean = 53.8 years Sd = 7.2 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010545 | — | — | 1,086 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010546 | — | — | 199 individuals, 56.0 % Male samples |
Mean = 54.0 years Sd = 7.3 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010547 | — | — | 781 individuals, 60.0 % Male samples |
Mean = 52.6 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010548 | — | — | 1,094 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010549 | — | — | 1,094 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010550 | — | — | 1,095 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010551 | — | — | 1,091 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010552 | — | — | 1,149 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010553 | — | — | 1,095 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010554 | — | — | 1,095 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010555 | — | — | 1,097 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010556 | — | — | 432 individuals, 56.0 % Male samples |
Mean = 52.8 years Sd = 8.2 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010557 | — | — | 42 individuals, 62.0 % Male samples |
Mean = 53.8 years Sd = 6.7 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010558 | — | — | 659 individuals, 65.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010559 | — | — | 1,124 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010560 | — | — | 1,121 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010561 | — | — | 1,100 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010562 | — | — | 1,005 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010563 | — | — | 487 individuals, 65.0 % Male samples |
Mean = 51.1 years Sd = 7.6 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010564 | — | — | 486 individuals, 65.0 % Male samples |
Mean = 51.1 years Sd = 7.6 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010565 | — | — | 488 individuals, 65.0 % Male samples |
Mean = 51.1 years Sd = 7.6 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010566 | — | — | 1,152 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010567 | — | — | 303 individuals, 55.0 % Male samples |
Mean = 51.1 years Sd = 7.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010568 | — | — | 1,089 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010569 | — | — | 1,123 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010570 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010571 | — | — | 899 individuals, 60.0 % Male samples |
Mean = 51.7 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010572 | — | — | 1,095 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010573 | — | — | 1,121 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010574 | — | — | 1,119 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010575 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010576 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010577 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010578 | — | — | 1,097 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010579 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010580 | — | — | 1,122 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010581 | — | — | 1,097 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010582 | — | — | 996 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010583 | — | — | 1,095 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010584 | — | — | 1,009 individuals, 61.0 % Male samples |
Mean = 52.1 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010585 | — | — | 1,152 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010586 | — | — | 1,124 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010587 | — | — | 1,120 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010588 | — | — | 669 individuals, 100.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010589 | — | — | 1,132 individuals, 59.0 % Male samples |
Mean = 52.1 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010590 | — | — | 648 individuals, 100.0 % Male samples |
Mean = 51.8 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010591 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010592 | — | — | 1,123 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010593 | — | — | 1,114 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010594 | — | — | 982 individuals, 59.0 % Male samples |
Mean = 52.2 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010595 | — | — | 433 individuals, 55.0 % Male samples |
Mean = 52.8 years Sd = 8.2 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010596 | — | — | 633 individuals, 57.0 % Male samples |
Mean = 53.3 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010597 | — | — | 1,117 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010598 | — | — | 1,097 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010599 | — | — | 196 individuals, 59.0 % Male samples |
Mean = 54.1 years Sd = 7.5 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010600 | — | — | 505 individuals, 55.0 % Male samples |
Mean = 53.4 years Sd = 8.3 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010601 | — | — | 1,148 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010602 | — | — | 1,096 individuals, 59.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010603 | — | — | 1,122 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010604 | — | — | 1,095 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010605 | — | — | 957 individuals, 58.0 % Male samples |
Mean = 52.5 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010606 | — | — | 1,122 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010607 | — | — | 3,392 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.2 years |
European | Italian | UKB | — |
| PSS010608 | — | — | 213 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
| PSS010609 | — | — | 220 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
| PSS010610 | — | — | 219 individuals, 48.0 % Male samples |
Mean = 53.8 years Sd = 7.4 years |
European | Italian | UKB | — |
| PSS010611 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010612 | — | — | 6,263 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010613 | — | — | 1,938 individuals, 41.0 % Male samples |
Mean = 54.1 years Sd = 8.1 years |
European | Italian | UKB | — |
| PSS010614 | — | — | 2,090 individuals, 0.0 % Male samples |
Mean = 55.5 years Sd = 8.1 years |
European | Italian | UKB | — |
| PSS010615 | — | — | 920 individuals, 0.0 % Male samples |
Mean = 45.2 years Sd = 3.8 years |
European | Italian | UKB | — |
| PSS010616 | — | — | 2,874 individuals, 0.0 % Male samples |
Mean = 53.8 years Sd = 8.3 years |
European | Italian | UKB | — |
| PSS010617 | — | — | 3,478 individuals, 0.0 % Male samples |
Mean = 54.2 years Sd = 8.3 years |
European | Italian | UKB | — |
| PSS010618 | — | — | 5,626 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010619 | — | — | 6,371 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010620 | — | — | 1,785 individuals, 42.0 % Male samples |
Mean = 54.1 years Sd = 8.1 years |
European | Italian | UKB | — |
| PSS010621 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010622 | — | — | 6,277 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010623 | — | — | 6,434 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010624 | — | — | 6,470 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010625 | — | — | 6,144 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010626 | — | — | 5,489 individuals, 46.0 % Male samples |
Mean = 54.1 years Sd = 8.3 years |
European | Italian | UKB | — |
| PSS010627 | — | — | 6,160 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010628 | — | — | 2,169 individuals, 41.0 % Male samples |
Mean = 54.0 years Sd = 8.1 years |
European | Italian | UKB | — |
| PSS010629 | — | — | 6,144 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010630 | — | — | 2,183 individuals, 41.0 % Male samples |
Mean = 53.9 years Sd = 8.1 years |
European | Italian | UKB | — |
| PSS010631 | — | — | 5,575 individuals, 45.0 % Male samples |
Mean = 54.2 years Sd = 8.3 years |
European | Italian | UKB | — |
| PSS010632 | — | — | 6,173 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010633 | — | — | 6,169 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010634 | — | — | 6,155 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010635 | — | — | 6,151 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010636 | — | — | 6,459 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010637 | — | — | 6,170 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010638 | — | — | 6,156 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010639 | — | — | 6,167 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010640 | — | — | 1,952 individuals, 44.0 % Male samples |
Mean = 54.5 years Sd = 8.6 years |
European | Italian | UKB | — |
| PSS010641 | — | — | 400 individuals, 47.0 % Male samples |
Mean = 53.6 years Sd = 7.5 years |
European | Italian | UKB | — |
| PSS010642 | — | — | 3,283 individuals, 51.0 % Male samples |
Mean = 54.8 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010643 | — | — | 6,376 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010644 | — | — | 6,357 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010645 | — | — | 6,172 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010646 | — | — | 5,659 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010647 | — | — | 3,384 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.2 years |
European | Italian | UKB | — |
| PSS010648 | — | — | 3,386 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.2 years |
European | Italian | UKB | — |
| PSS010649 | — | — | 3,393 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.2 years |
European | Italian | UKB | — |
| PSS010650 | — | — | 6,474 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010651 | — | — | 3,340 individuals, 39.0 % Male samples |
Mean = 52.8 years Sd = 8.2 years |
European | Italian | UKB | — |
| PSS010652 | — | — | 6,139 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010653 | — | — | 6,373 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010654 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010655 | — | — | 5,045 individuals, 44.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010656 | — | — | 6,170 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010657 | — | — | 6,264 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010658 | — | — | 6,260 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010659 | — | — | 6,277 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010660 | — | — | 6,277 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010661 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010662 | — | — | 6,174 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010663 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010664 | — | — | 6,182 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010665 | — | — | 6,143 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010666 | — | — | 5,599 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010667 | — | — | 6,168 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010668 | — | — | 5,901 individuals, 46.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010669 | — | — | 6,474 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010670 | — | — | 6,377 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010671 | — | — | 6,258 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010672 | — | — | 2,874 individuals, 100.0 % Male samples |
Mean = 54.8 years Sd = 8.5 years |
European | Italian | UKB | — |
| PSS010673 | — | — | 6,316 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010674 | — | — | 2,755 individuals, 100.0 % Male samples |
Mean = 54.8 years Sd = 8.5 years |
European | Italian | UKB | — |
| PSS010675 | — | — | 6,276 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010676 | — | — | 6,278 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010677 | — | — | 6,213 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010678 | — | — | 5,839 individuals, 43.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010679 | — | — | 1,967 individuals, 44.0 % Male samples |
Mean = 54.5 years Sd = 8.6 years |
European | Italian | UKB | — |
| PSS010680 | — | — | 4,958 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.3 years |
European | Italian | UKB | — |
| PSS010681 | — | — | 6,254 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010682 | — | — | 6,144 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010683 | — | — | 2,159 individuals, 42.0 % Male samples |
Mean = 54.1 years Sd = 8.1 years |
European | Italian | UKB | — |
| PSS010684 | — | — | 2,449 individuals, 43.0 % Male samples |
Mean = 54.5 years Sd = 8.7 years |
European | Italian | UKB | — |
| PSS010685 | — | — | 6,461 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010686 | — | — | 6,139 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010687 | — | — | 6,181 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010688 | — | — | 6,166 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010689 | — | — | 5,475 individuals, 44.0 % Male samples |
Mean = 53.7 years Sd = 8.3 years |
European | Italian | UKB | — |
| PSS010690 | — | — | 6,182 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010691 | — | — | 1,412 individuals, 49.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010692 | — | — | 61 individuals, 64.0 % Male samples |
Mean = 49.5 years Sd = 6.5 years |
African unspecified | Nigerian | UKB | — |
| PSS010693 | — | — | 61 individuals, 64.0 % Male samples |
Mean = 49.5 years Sd = 6.5 years |
African unspecified | Nigerian | UKB | — |
| PSS010694 | — | — | 61 individuals, 64.0 % Male samples |
Mean = 49.5 years Sd = 6.5 years |
African unspecified | Nigerian | UKB | — |
| PSS010695 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010696 | — | — | 3,651 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010697 | — | — | 481 individuals, 46.0 % Male samples |
Mean = 50.8 years Sd = 7.2 years |
African unspecified | Nigerian | UKB | — |
| PSS010698 | — | — | 1,421 individuals, 0.0 % Male samples |
Mean = 53.2 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010699 | — | — | 527 individuals, 0.0 % Male samples |
Mean = 45.0 years Sd = 3.6 years |
African unspecified | Nigerian | UKB | — |
| PSS010700 | — | — | 1,662 individuals, 0.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010701 | — | — | 1,905 individuals, 0.0 % Male samples |
Mean = 52.3 years Sd = 8.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010702 | — | — | 3,363 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010703 | — | — | 3,771 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010704 | — | — | 322 individuals, 47.0 % Male samples |
Mean = 50.6 years Sd = 7.4 years |
African unspecified | Nigerian | UKB | — |
| PSS010705 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010706 | — | — | 3,680 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010707 | — | — | 3,819 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010708 | — | — | 3,834 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010709 | — | — | 3,574 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010710 | — | — | 2,881 individuals, 48.0 % Male samples |
Mean = 51.4 years Sd = 7.7 years |
African unspecified | Nigerian | UKB | — |
| PSS010711 | — | — | 3,622 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010712 | — | — | 502 individuals, 48.0 % Male samples |
Mean = 50.7 years Sd = 7.2 years |
African unspecified | Nigerian | UKB | — |
| PSS010713 | — | — | 3,597 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010714 | — | — | 510 individuals, 48.0 % Male samples |
Mean = 50.6 years Sd = 7.2 years |
African unspecified | Nigerian | UKB | — |
| PSS010715 | — | — | 2,741 individuals, 48.0 % Male samples |
Mean = 51.1 years Sd = 7.7 years |
African unspecified | Nigerian | UKB | — |
| PSS010716 | — | — | 3,629 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010717 | — | — | 3,627 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010718 | — | — | 3,611 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010719 | — | — | 3,611 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010720 | — | — | 3,830 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010721 | — | — | 3,626 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010722 | — | — | 3,625 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010723 | — | — | 3,629 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010724 | — | — | 1,891 individuals, 43.0 % Male samples |
Mean = 52.2 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010725 | — | — | 116 individuals, 55.0 % Male samples |
Mean = 49.4 years Sd = 6.7 years |
African unspecified | Nigerian | UKB | — |
| PSS010726 | — | — | 2,085 individuals, 50.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010727 | — | — | 3,771 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010728 | — | — | 3,766 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010729 | — | — | 2,950 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010730 | — | — | 3,374 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010731 | — | — | 1,397 individuals, 49.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010732 | — | — | 1,395 individuals, 49.0 % Male samples |
Mean = 52.0 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010733 | — | — | 1,412 individuals, 49.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010734 | — | — | 3,838 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010735 | — | — | 785 individuals, 39.0 % Male samples |
Mean = 50.4 years Sd = 8.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010736 | — | — | 3,608 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010737 | — | — | 3,770 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010738 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010739 | — | — | 3,027 individuals, 48.0 % Male samples |
Mean = 51.8 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010740 | — | — | 3,625 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010741 | — | — | 3,670 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010742 | — | — | 3,668 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010743 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010744 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010745 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010746 | — | — | 3,627 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010747 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010748 | — | — | 3,819 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010749 | — | — | 3,574 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010750 | — | — | 3,347 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010751 | — | — | 3,626 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010752 | — | — | 3,541 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010753 | — | — | 3,839 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010754 | — | — | 3,773 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010755 | — | — | 3,666 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010756 | — | — | 1,707 individuals, 100.0 % Male samples |
Mean = 51.3 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010757 | — | — | 3,832 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010758 | — | — | 1,669 individuals, 100.0 % Male samples |
Mean = 51.4 years Sd = 8.2 years |
African unspecified | Nigerian | UKB | — |
| PSS010759 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010760 | — | — | 3,682 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010761 | — | — | 3,634 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010762 | — | — | 3,156 individuals, 44.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010763 | — | — | 1,897 individuals, 43.0 % Male samples |
Mean = 52.2 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010764 | — | — | 2,505 individuals, 46.0 % Male samples |
Mean = 52.1 years Sd = 8.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010765 | — | — | 3,652 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010766 | — | — | 3,574 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010767 | — | — | 478 individuals, 46.0 % Male samples |
Mean = 50.7 years Sd = 7.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010768 | — | — | 2,067 individuals, 42.0 % Male samples |
Mean = 52.2 years Sd = 8.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010769 | — | — | 3,828 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010770 | — | — | 3,573 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010771 | — | — | 3,819 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010772 | — | — | 3,623 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010773 | — | — | 3,277 individuals, 46.0 % Male samples |
Mean = 51.3 years Sd = 7.8 years |
African unspecified | Nigerian | UKB | — |
| PSS010774 | — | — | 3,819 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010775 | — | — | 2,148 individuals, 40.0 % Male samples |
Mean = 54.3 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS010776 | — | — | 180 individuals, 41.0 % Male samples |
Mean = 53.2 years Sd = 6.5 years |
European | Polish | UKB | — |
| PSS010777 | — | — | 192 individuals, 42.0 % Male samples |
Mean = 53.2 years Sd = 6.4 years |
European | Polish | UKB | — |
| PSS010778 | — | — | 190 individuals, 42.0 % Male samples |
Mean = 53.2 years Sd = 6.4 years |
European | Polish | UKB | — |
| PSS010779 | — | — | 3,990 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010780 | — | — | 3,985 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010781 | — | — | 1,104 individuals, 33.0 % Male samples |
Mean = 54.1 years Sd = 7.3 years |
European | Polish | UKB | — |
| PSS010782 | — | — | 1,431 individuals, 0.0 % Male samples |
Mean = 55.4 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010783 | — | — | 589 individuals, 0.0 % Male samples |
Mean = 45.7 years Sd = 3.9 years |
European | Polish | UKB | — |
| PSS010784 | — | — | 2,096 individuals, 0.0 % Male samples |
Mean = 54.1 years Sd = 7.7 years |
European | Polish | UKB | — |
| PSS010785 | — | — | 2,448 individuals, 0.0 % Male samples |
Mean = 54.5 years Sd = 7.6 years |
European | Polish | UKB | — |
| PSS010786 | — | — | 3,551 individuals, 39.0 % Male samples |
Mean = 54.4 years Sd = 7.6 years |
European | Polish | UKB | — |
| PSS010787 | — | — | 4,063 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010788 | — | — | 983 individuals, 35.0 % Male samples |
Mean = 54.1 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010789 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010790 | — | — | 3,990 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010791 | — | — | 4,094 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010792 | — | — | 4,115 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010793 | — | — | 3,913 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010794 | — | — | 3,468 individuals, 40.0 % Male samples |
Mean = 54.2 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010795 | — | — | 3,935 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010796 | — | — | 1,241 individuals, 34.0 % Male samples |
Mean = 54.0 years Sd = 7.3 years |
European | Polish | UKB | — |
| PSS010797 | — | — | 3,924 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010798 | — | — | 1,246 individuals, 34.0 % Male samples |
Mean = 54.0 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS010799 | — | — | 3,426 individuals, 38.0 % Male samples |
Mean = 54.2 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010800 | — | — | 3,939 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010801 | — | — | 3,939 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010802 | — | — | 3,922 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010803 | — | — | 3,919 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.6 years |
European | Polish | UKB | — |
| PSS010804 | — | — | 4,114 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010805 | — | — | 3,939 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010806 | — | — | 3,933 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010807 | — | — | 3,942 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010808 | — | — | 1,138 individuals, 36.0 % Male samples |
Mean = 54.7 years Sd = 8.0 years |
European | Polish | UKB | — |
| PSS010809 | — | — | 299 individuals, 38.0 % Male samples |
Mean = 52.9 years Sd = 6.6 years |
European | Polish | UKB | — |
| PSS010810 | — | — | 2,277 individuals, 42.0 % Male samples |
Mean = 54.5 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010811 | — | — | 4,062 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010812 | — | — | 4,055 individuals, 37.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010813 | — | — | 3,920 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010814 | — | — | 3,578 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010815 | — | — | 2,145 individuals, 39.0 % Male samples |
Mean = 54.3 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS010816 | — | — | 2,146 individuals, 39.0 % Male samples |
Mean = 54.3 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS010817 | — | — | 2,148 individuals, 40.0 % Male samples |
Mean = 54.3 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS010818 | — | — | 4,114 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010819 | — | — | 2,136 individuals, 34.0 % Male samples |
Mean = 52.8 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS010820 | — | — | 3,924 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010821 | — | — | 4,059 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010822 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010823 | — | — | 3,124 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010824 | — | — | 3,937 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010825 | — | — | 3,982 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010826 | — | — | 3,981 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010827 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010828 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010829 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010830 | — | — | 3,941 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010831 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010832 | — | — | 3,920 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010833 | — | — | 3,912 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010834 | — | — | 3,551 individuals, 39.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010835 | — | — | 3,939 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010836 | — | — | 3,767 individuals, 39.0 % Male samples |
Mean = 54.2 years Sd = 7.6 years |
European | Polish | UKB | — |
| PSS010837 | — | — | 4,114 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010838 | — | — | 4,063 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010839 | — | — | 3,981 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010840 | — | — | 1,538 individuals, 100.0 % Male samples |
Mean = 54.1 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010841 | — | — | 3,986 individuals, 37.0 % Male samples |
Mean = 54.4 years Sd = 7.6 years |
European | Polish | UKB | — |
| PSS010842 | — | — | 1,479 individuals, 100.0 % Male samples |
Mean = 54.2 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010843 | — | — | 3,989 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010844 | — | — | 3,991 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010845 | — | — | 3,952 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010846 | — | — | 3,780 individuals, 36.0 % Male samples |
Mean = 54.4 years Sd = 7.6 years |
European | Polish | UKB | — |
| PSS010847 | — | — | 1,145 individuals, 36.0 % Male samples |
Mean = 54.7 years Sd = 8.0 years |
European | Polish | UKB | — |
| PSS010848 | — | — | 2,942 individuals, 38.0 % Male samples |
Mean = 54.8 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010849 | — | — | 3,977 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010850 | — | — | 3,913 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010851 | — | — | 1,216 individuals, 34.0 % Male samples |
Mean = 54.1 years Sd = 7.3 years |
European | Polish | UKB | — |
| PSS010852 | — | — | 1,520 individuals, 35.0 % Male samples |
Mean = 54.5 years Sd = 8.0 years |
European | Polish | UKB | — |
| PSS010853 | — | — | 4,111 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010854 | — | — | 3,913 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010855 | — | — | 3,920 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010856 | — | — | 3,937 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010857 | — | — | 3,620 individuals, 37.0 % Male samples |
Mean = 54.0 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010858 | — | — | 3,920 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010859 | — | — | 11,364 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.8 years |
European | white British | UKB | — |
| PSS010860 | — | — | 995 individuals, 51.0 % Male samples |
Mean = 55.4 years Sd = 7.5 years |
European | white British | UKB | — |
| PSS010861 | — | — | 1,040 individuals, 51.0 % Male samples |
Mean = 55.5 years Sd = 7.5 years |
European | white British | UKB | — |
| PSS010862 | — | — | 1,040 individuals, 51.0 % Male samples |
Mean = 55.5 years Sd = 7.5 years |
European | white British | UKB | — |
| PSS010863 | — | — | 19,416 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010864 | — | — | 19,389 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010865 | — | — | 5,883 individuals, 45.0 % Male samples |
Mean = 56.5 years Sd = 7.6 years |
European | white British | UKB | — |
| PSS010866 | — | — | 7,313 individuals, 0.0 % Male samples |
Mean = 57.6 years Sd = 7.5 years |
European | white British | UKB | — |
| PSS010867 | — | — | 1,768 individuals, 0.0 % Male samples |
Mean = 45.9 years Sd = 3.9 years |
European | white British | UKB | — |
| PSS010868 | — | — | 8,475 individuals, 0.0 % Male samples |
Mean = 56.2 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010869 | — | — | 10,448 individuals, 0.0 % Male samples |
Mean = 56.7 years Sd = 7.8 years |
European | white British | UKB | — |
| PSS010870 | — | — | 17,435 individuals, 47.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010871 | — | — | 19,650 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010872 | — | — | 5,148 individuals, 46.0 % Male samples |
Mean = 56.4 years Sd = 7.6 years |
European | white British | UKB | — |
| PSS010873 | — | — | 19,418 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010874 | — | — | 19,417 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010875 | — | — | 19,862 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010876 | — | — | 19,949 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010877 | — | — | 19,116 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010878 | — | — | 17,153 individuals, 48.0 % Male samples |
Mean = 56.4 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010879 | — | — | 19,077 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010880 | — | — | 6,472 individuals, 45.0 % Male samples |
Mean = 56.2 years Sd = 7.7 years |
European | white British | UKB | — |
| PSS010881 | — | — | 19,039 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010882 | — | — | 6,496 individuals, 45.0 % Male samples |
Mean = 56.2 years Sd = 7.6 years |
European | white British | UKB | — |
| PSS010883 | — | — | 17,510 individuals, 46.0 % Male samples |
Mean = 56.5 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010884 | — | — | 19,111 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010885 | — | — | 19,106 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010886 | — | — | 19,052 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010887 | — | — | 19,050 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010888 | — | — | 19,935 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010889 | — | — | 19,112 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010890 | — | — | 19,083 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010891 | — | — | 19,120 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010892 | — | — | 4,334 individuals, 48.0 % Male samples |
Mean = 57.1 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010893 | — | — | 1,567 individuals, 50.0 % Male samples |
Mean = 55.5 years Sd = 7.4 years |
European | white British | UKB | — |
| PSS010894 | — | — | 11,449 individuals, 50.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010895 | — | — | 19,661 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010896 | — | — | 19,633 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010897 | — | — | 19,078 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010898 | — | — | 17,539 individuals, 47.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010899 | — | — | 11,350 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.8 years |
European | white British | UKB | — |
| PSS010900 | — | — | 11,353 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.8 years |
European | white British | UKB | — |
| PSS010901 | — | — | 11,364 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.8 years |
European | white British | UKB | — |
| PSS010902 | — | — | 19,955 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010903 | — | — | 11,297 individuals, 39.0 % Male samples |
Mean = 55.5 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010904 | — | — | 19,017 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010905 | — | — | 19,653 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010906 | — | — | 19,415 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010907 | — | — | 15,302 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010908 | — | — | 19,107 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010909 | — | — | 19,376 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010910 | — | — | 19,374 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010911 | — | — | 19,418 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010912 | — | — | 19,417 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010913 | — | — | 19,418 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010914 | — | — | 19,116 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010915 | — | — | 19,418 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010916 | — | — | 18,679 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010917 | — | — | 19,111 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010918 | — | — | 17,359 individuals, 47.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010919 | — | — | 19,108 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010920 | — | — | 18,261 individuals, 47.0 % Male samples |
Mean = 56.8 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010921 | — | — | 19,954 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010922 | — | — | 19,662 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010923 | — | — | 19,370 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010924 | — | — | 9,180 individuals, 100.0 % Male samples |
Mean = 57.1 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010925 | — | — | 18,819 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010926 | — | — | 8,753 individuals, 100.0 % Male samples |
Mean = 57.1 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010927 | — | — | 19,414 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010928 | — | — | 19,418 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010929 | — | — | 19,237 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010930 | — | — | 17,864 individuals, 45.0 % Male samples |
Mean = 56.8 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010931 | — | — | 4,366 individuals, 48.0 % Male samples |
Mean = 57.1 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010932 | — | — | 16,317 individuals, 47.0 % Male samples |
Mean = 56.7 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010933 | — | — | 19,342 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010934 | — | — | 19,112 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010935 | — | — | 6,703 individuals, 45.0 % Male samples |
Mean = 56.2 years Sd = 7.6 years |
European | white British | UKB | — |
| PSS010936 | — | — | 6,610 individuals, 48.0 % Male samples |
Mean = 57.1 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010937 | — | — | 19,923 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010938 | — | — | 19,109 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010939 | — | — | 18,679 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010940 | — | — | 19,082 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010941 | — | — | 16,423 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010942 | — | — | 18,679 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |