Trait Information | |
Identifier | PATO_0000383 |
Description | A biological sex quality inhering in an individual or a population that only produces gametes that can be fertilised by male gametes. | Trait category |
Sex-specific PGS
|
Mapped terms |
6 mapped terms
|
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) |
---|---|---|---|---|---|---|
PGS000318 (cPRS_F) |
PGP000095 | Meisner A et al. Am J Hum Genet (2020) |
All-cause mortality (female) | age at death, female |
4,122 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000318/ScoringFiles/PGS000318.txt.gz | |
PGS000322 (snpnet_Testosterone_female-specific) |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Serum testosterone levels in females | testosterone measurement, female |
7,168 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000322/ScoringFiles/PGS000322.txt.gz |
PGS000828 (WaistCircumference_PGS_F) |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Waist circumference (female) | waist circumference, female |
149 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000828/ScoringFiles/PGS000828.txt.gz |
PGS000830 (BMI_PGS_F) |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Body mass index (BMI) (female) | body mass index, female |
372 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000830/ScoringFiles/PGS000830.txt.gz |
PGS000900 (PRS_SBP_f) |
PGP000233 | Kauko A et al. Hypertension (2021) |
Systolic blood pressure (female) | systolic blood pressure, female |
1,098,015 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000900/ScoringFiles/PGS000900.txt.gz |
PGS001914 (portability-PLR_F_log_testosterone) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Testosterone (female only) | testosterone measurement, female |
18,179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001914/ScoringFiles/PGS001914.txt.gz |
PGS002130 (portability-ldpred2_F_log_testosterone) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Testosterone (female only) | testosterone measurement, female |
650,195 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002130/ScoringFiles/PGS002130.txt.gz |
PGS003408 (3_withUKB_sexFemale_metaGRS.weights) |
PGP000423 | Bakker MK et al. Stroke (2023) |
Intracranial aneurysm | brain aneurysm, female |
6,671,269 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003408/ScoringFiles/PGS003408.txt.gz | |
PGS003411 (6_withUKB_sexFemale_IAonly.weights) |
PGP000423 | Bakker MK et al. Stroke (2023) |
Intracranial aneurysm | brain aneurysm, female |
6,671,269 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003411/ScoringFiles/PGS003411.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 |
---|---|---|---|---|---|---|---|---|---|
PPM000850 | PGS000318 (cPRS_F) |
PSS000409| European Ancestry| 60,308 individuals |
PGP000095 | Meisner A et al. Am J Hum Genet (2020) |
Reported Trait: All-cause mortality (age at death in females) | HR: 1.1 [1.05, 1.16] | — | — | 10 genetic PCs | — |
PPM000852 | PGS000318 (cPRS_F) |
PSS000409| European Ancestry| 60,308 individuals |
PGP000095 | Meisner A et al. Am J Hum Genet (2020) |
Reported Trait: Years of life lost (females) | β: 0.97 [0.5, 1.44] | — | — | 10 genetic PCs | — |
PPM000854 | PGS000318 (cPRS_F) |
PSS000409| European Ancestry| 60,308 individuals |
PGP000095 | Meisner A et al. Am J Hum Genet (2020) |
Reported Trait: All-cause mortality (age at death in females) | HR: 1.06 [0.99, 1.13] | — | — | 10 genetic PCs, risk factors measured at baseline (BMI, smoking status, alcohol consumption, SBP, DBP, eGFR, total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, blood glucose, and sleep duration) | — |
PPM000856 | PGS000318 (cPRS_F) |
PSS000409| European Ancestry| 60,308 individuals |
PGP000095 | Meisner A et al. Am J Hum Genet (2020) |
Reported Trait: Years of life lost (females) | β: 0.58 [-0.11, 1.26] | — | — | 10 genetic PCs, risk factors measured at baseline (BMI, smoking status, alcohol consumption, SBP, DBP, eGFR, total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, blood glucose, and sleep duration) | — |
PPM000864 | PGS000322 (snpnet_Testosterone_female-specific) |
PSS000421| European Ancestry| 28,640 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in females | — | — | R²: 0.18 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
PPM000863 | PGS000322 (snpnet_Testosterone_female-specific) |
PSS000422| European Ancestry| 28,601 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in males | — | — | R²: 0.02 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
PPM002233 | PGS000828 (WaistCircumference_PGS_F) |
PSS001083| Multi-ancestry (including European)| 2,531 individuals |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Reported Trait: Waist circumference (female) | — | — | R²: 0.032 | Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor | — |
PPM002235 | PGS000830 (BMI_PGS_F) |
PSS001083| Multi-ancestry (including European)| 2,531 individuals |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Reported Trait: Body mass index (female) | — | — | R²: 0.027 | Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor | — |
PPM002648 | PGS000900 (PRS_SBP_f) |
PSS001169| European Ancestry| 123,579 individuals |
PGP000233 | Kauko A et al. Hypertension (2021) |
Reported Trait: Hypertension | HR: 1.42 [1.4, 1.44] | — | Hazard Ratio (HR, top 2.5% vs middle 60%): 2.12 [1.99, 2.25] | Age as timescale, collection year, genotyping batch, PCs(1-10) | — |
PPM002650 | PGS000900 (PRS_SBP_f) |
PSS001169| European Ancestry| 123,579 individuals |
PGP000233 | Kauko A et al. Hypertension (2021) |
Reported Trait: Early-onset hypertension (< 55 years) | HR: 1.56 [1.53, 1.58] | — | Hazard Ratio (HR, top 2.5% vs middle 60%): 2.51 [2.32, 2.72] | Age as timescale, collection year, genotyping batch, PCs(1-10) | — |
PPM002652 | PGS000900 (PRS_SBP_f) |
PSS001169| European Ancestry| 123,579 individuals |
PGP000233 | Kauko A et al. Hypertension (2021) |
Reported Trait: Late-onset hypertension (> 55 years) | HR: 1.31 [1.28, 1.33] | — | Hazard Ratio (HR, top 2.5% vs middle 60%): 1.66 [1.5, 1.84] | Age as timescale, collection year, genotyping batch, PCs(1-10) | — |
PPM010195 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS009374| European Ancestry| 9,296 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1628 [0.143, 0.1826] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010197 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008702| European Ancestry| 3,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1116 [0.0767, 0.1462] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010198 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008476| Greater Middle Eastern Ancestry| 562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.2041 [0.122, 0.2835] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010199 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008254| South Asian Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1494 [0.114, 0.1845] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010200 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008032| East Asian Ancestry| 855 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0621 [-0.0058, 0.1294] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010201 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS007818| African Ancestry| 1,112 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0967 [0.0376, 0.1551] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010202 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008922| African Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0739 [0.0276, 0.1198] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM010196 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS009148| European Ancestry| 1,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1364 [0.092, 0.1803] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011897 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008702| European Ancestry| 3,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1053 [0.0704, 0.14] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011895 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS009374| European Ancestry| 9,296 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1633 [0.1434, 0.183] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011896 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS009148| European Ancestry| 1,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1566 [0.1124, 0.2001] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011898 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008476| Greater Middle Eastern Ancestry| 562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.2432 [0.1623, 0.3208] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011899 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008254| South Asian Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1496 [0.1142, 0.1847] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011900 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008032| East Asian Ancestry| 855 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.048 [-0.0199, 0.1155] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011901 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS007818| African Ancestry| 1,112 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1167 [0.0578, 0.1749] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM011902 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008922| African Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0774 [0.0311, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
PPM017050 | PGS003408 (3_withUKB_sexFemale_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard (women only) | HR: 1.374 | C-index: 0.727 | — | sex, systolic blood pressure, cigarette packs per day | — |
PPM017056 | PGS003408 (3_withUKB_sexFemale_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases (women only) | OR: 1.089 | C-index: 0.77 | — | — | — |
PPM017053 | PGS003411 (6_withUKB_sexFemale_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard (women only) | HR: 1.295 | C-index: 0.722 | — | sex, systolic blood pressure, cigarette packs per day | — |
PPM017059 | PGS003411 (6_withUKB_sexFemale_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases (women only) | OR: 1.085 | C-index: 0.77 | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS008254 | — | — | 2,976 individuals | — | South Asian | India (South Asia) | UKB | — |
PSS007818 | — | — | 1,112 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
PSS009148 | — | — | 1,918 individuals | — | European | Poland (NE Europe) | UKB | — |
PSS000409 | The death registry data were available through November 30, 2016, for the centers in Scotland and January 31, 2018, for the centers in England and Wales. We determined whether an individual died of a particular disease by considering the ICD-10 code listed as the primary cause of death | Mean = 8.8 years Sd = 1.0 years |
[ ,
0.0 % Male samples |
Mean (Baseline) = 57.2 years Sd = 7.9 years |
European | — | UKB | — |
PSS010105 | ICD codes I67.1 and I60 | — | [
|
— | European (Norwegian) |
— | HUNT2 | — |
PSS000421 | Blood testosterone levels (UKB field 30850). Individuals taking the following testosterone-related drugs (methyltestosterone, finasteride, dutasteride, testosterone, mesterolone, and cyproterone) were excluded. | — | 28,640 individuals, 0.0 % Male samples |
— | European | — | UKB | — |
PSS000422 | Blood testosterone levels (UKB field 30850). Individuals taking the following testosterone-related drugs (methyltestosterone, finasteride, dutasteride, testosterone, mesterolone, and cyproterone) were excluded. | — | 28,601 individuals, 100.0 % Male samples |
— | European | — | UKB | — |
PSS008702 | — | — | 3,123 individuals | — | European | Italy (South Europe) | UKB | — |
PSS001169 | Cases were individuals with hypertension. Of the 27,804 cases, 13,279 had early-onset hypertension (age of onset < 55 years) whilst 14,525 had late-onset hypertension (age of onset ≥ 55 years). | — | [ ,
0.0 % Male samples |
— | European (Finnish) |
— | FinnGen | — |
PSS008922 | — | — | 1,808 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
PSS008476 | — | — | 562 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
PSS009374 | — | — | 9,296 individuals | — | European | UK (+ Ireland) | UKB | — |
PSS008032 | — | — | 855 individuals | — | East Asian | China (East Asia) | UKB | — |
PSS001083 | Of the 2,531 participants, 1,809 had longitudinal observations for total cholesterol (mg/dL), high density lipoprotein cholesterol (mg/dL) and trigycerides (mg/dL), 1,801 had longitudinal observations for low density lipoprotein cholesterol (mg/dL), 1,325 had longitudinal observations for waist circumference (inches), 2,355 had longitudinal observations for body mass index (kg/m^2) and 1,572 had longitudinal observations for homocysteine (μmol/L). | — | 2,531 individuals, 40.0 % Male samples |
Mean = 48.0 years Sd = 12.0 years |
European, Asian unspecified, Hispanic or Latin American, African unspecified, NR | European = 1,999, Asian unspecified = 228, Hispanic or Latin American = 101, African unspecified = 51, Not reported = 152 | NR | Participants were obtained from the Scientific Wellness Program. |