Trait: waist circumference

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004342
Description The measurement around the body at the level of the ABDOMEN and just above the hip bone. The measurement is usually taken immediately after exhalation.
Trait category
Body measurement
Mapped terms 4 mapped terms
  • MeSH:D055105
  • MedDRA:10074998
  • NCIt:C100948
  • SNOMEDCT:276361009

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
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)
PGS000827
(WaistCircumference_PGS_M)
 PGP000210 |
Zubair N et al. Sci Rep (2019)
 Waist circumference (male) waist circumference,
male		 113
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000827/ScoringFiles/PGS000827.txt.gz - Check Terms/Licenses
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 - Check Terms/Licenses
PGS001227
(GBE_INI48)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Waist circumference waist circumference 25,538
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001227/ScoringFiles/PGS001227.txt.gz
PGS001983
(portability-PLR_log_waist_circ)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Waist circumference waist circumference 96,496
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001983/ScoringFiles/PGS001983.txt.gz
PGS002201
(portability-ldpred2_log_waist_circ)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Waist circumference waist circumference 984,035
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002201/ScoringFiles/PGS002201.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
PGS003893
(INI48)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Waist circumference waist circumference 31,406
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003893/ScoringFiles/PGS003893.txt.gz
PGS004405
(X48.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Waist circumference waist circumference 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004405/ScoringFiles/PGS004405.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM002234 PGS000827
(WaistCircumference_PGS_M)
 PSS001083|
Multi-ancestry (including European)|
2,531 individuals
 PGP000210 |
Zubair N et al. Sci Rep (2019)
 Reported Trait: Waist circumference (male) — — R²: 0.018 Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor —
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 —
PPM008649 PGS001227
(GBE_INI48)
 PSS007356|
African Ancestry|
6,418 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Waist circumference — — R²: 0.04902 [0.03878, 0.05925]
Incremental R2 (full-covars): 0.01275
PGS R2 (no covariates): 0.01765 [0.01131, 0.024]		 age, sex, UKB array type, Genotype PCs —
PPM008650 PGS001227
(GBE_INI48)
 PSS007357|
East Asian Ancestry|
1,698 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Waist circumference — — R²: 0.31538 [0.27895, 0.35182]
Incremental R2 (full-covars): 0.00143
PGS R2 (no covariates): 0.02593 [0.01107, 0.0408]		 age, sex, UKB array type, Genotype PCs —
PPM008651 PGS001227
(GBE_INI48)
 PSS007358|
European Ancestry|
24,833 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Waist circumference — — R²: 0.30589 [0.29635, 0.31542]
Incremental R2 (full-covars): 0.05708
PGS R2 (no covariates): 0.0673 [0.06129, 0.07331]		 age, sex, UKB array type, Genotype PCs —
PPM008652 PGS001227
(GBE_INI48)
 PSS007359|
South Asian Ancestry|
7,756 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Waist circumference — — R²: 0.19567 [0.17992, 0.21142]
Incremental R2 (full-covars): 0.03363
PGS R2 (no covariates): 0.03558 [0.02753, 0.04364]		 age, sex, UKB array type, Genotype PCs —
PPM008653 PGS001227
(GBE_INI48)
 PSS007360|
European Ancestry|
67,330 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Waist circumference — — R²: 0.29142 [0.28565, 0.2972]
Incremental R2 (full-covars): 0.06556
PGS R2 (no covariates): 0.0665 [0.06287, 0.07013]		 age, sex, UKB array type, Genotype PCs —
PPM010739 PGS001983
(portability-PLR_log_waist_circ)
 PSS009471|
European Ancestry|
19,966 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.3233 [0.3108, 0.3356] sex, age, birth date, deprivation index, 16 PCs —
PPM010740 PGS001983
(portability-PLR_log_waist_circ)
 PSS009245|
European Ancestry|
4,125 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.3113 [0.2834, 0.3387] sex, age, birth date, deprivation index, 16 PCs —
PPM010741 PGS001983
(portability-PLR_log_waist_circ)
 PSS008799|
European Ancestry|
6,637 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.303 [0.281, 0.3247] sex, age, birth date, deprivation index, 16 PCs —
PPM010742 PGS001983
(portability-PLR_log_waist_circ)
 PSS008573|
Greater Middle Eastern Ancestry|
1,181 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.248 [0.1932, 0.3012] sex, age, birth date, deprivation index, 16 PCs —
PPM010743 PGS001983
(portability-PLR_log_waist_circ)
 PSS008351|
South Asian Ancestry|
6,267 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.255 [0.2317, 0.2781] sex, age, birth date, deprivation index, 16 PCs —
PPM010744 PGS001983
(portability-PLR_log_waist_circ)
 PSS008128|
East Asian Ancestry|
1,802 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.2068 [0.1619, 0.2508] sex, age, birth date, deprivation index, 16 PCs —
PPM010745 PGS001983
(portability-PLR_log_waist_circ)
 PSS007915|
African Ancestry|
2,457 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.1624 [0.1235, 0.2008] sex, age, birth date, deprivation index, 16 PCs —
PPM010746 PGS001983
(portability-PLR_log_waist_circ)
 PSS009019|
African Ancestry|
3,868 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.1264 [0.0952, 0.1574] sex, age, birth date, deprivation index, 16 PCs —
PPM012455 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS009471|
European Ancestry|
19,966 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.3243 [0.3118, 0.3367] sex, age, birth date, deprivation index, 16 PCs —
PPM012456 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS009245|
European Ancestry|
4,125 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.3197 [0.292, 0.3469] sex, age, birth date, deprivation index, 16 PCs —
PPM012457 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS008799|
European Ancestry|
6,637 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.3066 [0.2846, 0.3283] sex, age, birth date, deprivation index, 16 PCs —
PPM012458 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS008573|
Greater Middle Eastern Ancestry|
1,181 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.2581 [0.2036, 0.311] sex, age, birth date, deprivation index, 16 PCs —
PPM012460 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS008128|
East Asian Ancestry|
1,802 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.2159 [0.1712, 0.2597] sex, age, birth date, deprivation index, 16 PCs —
PPM012461 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS007915|
African Ancestry|
2,457 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.1768 [0.138, 0.215] sex, age, birth date, deprivation index, 16 PCs —
PPM012462 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS009019|
African Ancestry|
3,868 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.1284 [0.0972, 0.1593] sex, age, birth date, deprivation index, 16 PCs —
PPM012459 PGS002201
(portability-ldpred2_log_waist_circ)
 PSS008351|
South Asian Ancestry|
6,267 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Waist circumference — — Partial Correlation (partial-r): 0.2563 [0.2329, 0.2793] sex, age, birth date, deprivation index, 16 PCs —
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 —
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 —
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 —
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 —
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 —
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 —
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 —
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 —
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 —
PPM018786 PGS003893
(INI48)
 PSS011117|
South Asian Ancestry|
1,473 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Waist circumference — — R²: 0.21134 [0.17457, 0.24811]
PGS R2 (no covariates): 0.06699 [0.0425, 0.09148]
Incremental R2 (full-covars): 0.06504		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018787 PGS003893
(INI48)
 PSS011160|
African Ancestry|
1,195 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Waist circumference — — R²: 0.03112 [0.01194, 0.0503]
PGS R2 (no covariates): 0.01643 [0.00228, 0.03058]
Incremental R2 (full-covars): 0.01312		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018788 PGS003893
(INI48)
 PSS011175|
Multi-ancestry (excluding European)|
7,973 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Waist circumference — — R²: 0.28891 [0.27218, 0.30565]
PGS R2 (no covariates): 0.05072 [0.04135, 0.06008]
Incremental R2 (full-covars): 0.04529		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018784 PGS003893
(INI48)
 PSS011149|
European Ancestry|
67,635 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Waist circumference — — R²: 0.29939 [0.29361, 0.30516]
PGS R2 (no covariates): 0.07085 [0.06712, 0.07457]
Incremental R2 (full-covars): 0.0682		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018785 PGS003893
(INI48)
 PSS011098|
European Ancestry|
2,886 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Waist circumference — — R²: 0.29851 [0.27062, 0.3264]
PGS R2 (no covariates): 0.07361 [0.05532, 0.0919]
Incremental R2 (full-covars): 0.06239		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020520 PGS004405
(X48.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Waist circumference — — PGS R2 (no covariates): 0.237 — —

Evaluated Samples

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
PSS007356 — — 6,418 individuals — African unspecified — UKB —
PSS007357 — — 1,698 individuals — East Asian — UKB —
PSS007358 — — 24,833 individuals — European non-white British ancestry UKB —
PSS007359 — — 7,756 individuals — South Asian — UKB —
PSS007360 — — 67,330 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS011149 — — 67,635 individuals — European
(white British ancestry)		 — UKB —
PSS010921 — — 19,954 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010669 — — 6,474 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS010417 — — 1,790 individuals,
33.0 % Male samples
 Mean = 52.4 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS011160 — — 1,195 individuals — African unspecified — UKB —
PSS008799 — — 6,637 individuals — European Italy (South Europe) 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.
PSS011175 — — 7,973 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS007915 — — 2,457 individuals — African American or Afro-Caribbean Carribean UKB —
PSS010837 — — 4,114 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS008573 — — 1,181 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) 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 —
PSS009471 — — 19,966 individuals — European UK (+ Ireland) UKB —
PSS010333 — — 2,444 individuals,
36.0 % Male samples
 Mean = 52.5 years
Sd = 8.1 years		 African American or Afro-Caribbean Caribbean UKB —
PSS011098 — — 2,886 individuals — European
(non-white British ancestry)		 — UKB —
PSS009245 — — 4,125 individuals — European Poland (NE Europe) UKB —
PSS008351 — — 6,267 individuals — South Asian India (South Asia) UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS010753 — — 3,839 individuals,
46.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010501 — — 6,215 individuals,
54.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS011117 — — 1,473 individuals — South Asian — UKB —
PSS010249 — — 2,344 individuals,
45.0 % Male samples
 Mean = 58.1 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS009019 — — 3,868 individuals — African unspecified Nigeria (West Africa) UKB —
PSS008128 — — 1,802 individuals — East Asian China (East Asia) UKB —