| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004340 |
| Description |
|
Trait category |
Body measurement
|
| Synonyms |
2 synonyms
|
| Mapped term(s) |
4 mapped terms
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | PGS Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000027 (GPS_BMI) |
PGP000017 | Khera AV et al. Cell (2019) |
Body Mass Index | body mass index | 2,100,302 | http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000027/ScoringFiles/PGS000027.txt.gz | |
| PGS000034 (GRS_BMI) |
PGP000021 | Song M et al. Diabetes (2017) |
Adult Body Mass Index | body mass index | 97 | - |
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000034/ScoringFiles/PGS000034.txt.gz |
| PGS000298 (GRS941_BMI) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Body mass index | body mass index | 941 | - |
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000298/ScoringFiles/PGS000298.txt.gz |
| PGS000320 (PRS_BMI) |
PGP000096 | Chami N et al. PLoS Med (2020) |
Body mass index | body mass index | 263,640 | http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000320/ScoringFiles/PGS000320.txt.gz | |
| PGS000716 (PGS295_elbs) |
PGP000132 | Richardson TG et al. BMJ (2020) |
Early life body size | comparative body size at age 10, self-reported, body mass index |
295 | - |
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000716/ScoringFiles/PGS000716.txt.gz |
| PGS000717 (PGS557_albs) |
PGP000132 | Richardson TG et al. BMJ (2020) |
Adult life body size | body mass index | 557 | - |
http://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000717/ScoringFiles/PGS000717.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM001708 | PGS000716 (PGS295_elbs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.569 [0.564, 0.574] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001709 | PGS000716 (PGS295_elbs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.656 [0.626, 0.686] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001710 | PGS000716 (PGS295_elbs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.623 [0.589, 0.657] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001711 | PGS000716 (PGS295_elbs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.601 [0.589, 0.612] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001712 | PGS000716 (PGS295_elbs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.591 [0.582, 0.6] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001713 | PGS000716 (PGS295_elbs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.568 [0.563, 0.573] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001714 | PGS000717 (PGS557_albs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.664 [0.574, 0.753] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001715 | PGS000717 (PGS557_albs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.691 [0.589, 0.793] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001716 | PGS000717 (PGS557_albs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.624 [0.601, 0.646] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM000054 | PGS000027 (GPS_BMI) |
PSS000037| European Ancestry| 288,016 individuals |
PGP000017 | Khera AV et al. Cell (2019) |
Reported Trait: Body mass index | β: 1.41 | — | R²: 0.08526 | First 10 genetic PCs | Beta is in units of kg/m^2 |
| PPM001717 | PGS000717 (PGS557_albs) |
PSS000881| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 24-29.9 | — | AUROC: 0.623 [0.607, 0.639] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001719 | PGS000717 (PGS557_albs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.587 [0.556, 0.618] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001720 | PGS000717 (PGS557_albs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.615 [0.58, 0.649] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM000791 | PGS000298 (GRS941_BMI) |
PSS000369| European Ancestry| 334 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0671 | Sex, age | — |
| PPM000792 | PGS000298 (GRS941_BMI) |
PSS000370| European Ancestry| 329 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.057 | Sex, age | — |
| PPM000793 | PGS000298 (GRS941_BMI) |
PSS000371| European Ancestry| 288 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0886 | Sex, age | — |
| PPM000794 | PGS000298 (GRS941_BMI) |
PSS000372| European Ancestry| 265 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.092 | Sex, age | — |
| PPM000795 | PGS000298 (GRS941_BMI) |
PSS000373| European Ancestry| 245 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.1194 | Sex, age | — |
| PPM001722 | PGS000717 (PGS557_albs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.598 [0.589, 0.607] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001723 | PGS000717 (PGS557_albs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.582 [0.578, 0.587] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM000072 | PGS000034 (GRS_BMI) |
PSS000050| European Ancestry| 5,640 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.17 [0.03, 0.31] | — | — |
| PPM001725 | PGS000027 (GPS_BMI) |
PSS000885| European Ancestry| 19,588 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.21 [1.92, 2.54] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001726 | PGS000027 (GPS_BMI) |
PSS000886| European Ancestry| 21,499 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 2.09 [1.74, 2.51] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM000071 | PGS000034 (GRS_BMI) |
PSS000048| European Ancestry| 5,956 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.54 [0.38, 0.71] | — | — |
| PPM001727 | PGS000027 (GPS_BMI) |
PSS000886| European Ancestry| 21,499 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 2.13 [1.87, 2.43] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001728 | PGS000027 (GPS_BMI) |
PSS000887| European Ancestry| 26,323 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 2.15 [1.91, 2.41] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM000073 | PGS000034 (GRS_BMI) |
PSS000051| European Ancestry| 2,942 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): -0.22 [-0.39, -0.05] | — | — |
| PPM001730 | PGS000027 (GPS_BMI) |
PSS000888| European Ancestry| 29,527 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 1.87 [1.68, 2.09] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001731 | PGS000027 (GPS_BMI) |
PSS000888| European Ancestry| 29,527 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 2.05 [1.89, 2.22] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001707 | PGS000716 (PGS295_elbs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.618 [0.594, 0.641] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001732 | PGS000027 (GPS_BMI) |
PSS000889| European Ancestry| 21,187 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 2.0 [1.79, 2.23] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001733 | PGS000027 (GPS_BMI) |
PSS000889| European Ancestry| 21,187 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.12 [1.96, 2.3] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001734 | PGS000027 (GPS_BMI) |
PSS000890| European Ancestry| 25,096 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 2.0 [1.8, 2.21] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001735 | PGS000027 (GPS_BMI) |
PSS000890| European Ancestry| 25,096 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 2.03 [1.88, 2.19] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001718 | PGS000717 (PGS557_albs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.597 [0.591, 0.602] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM000074 | PGS000034 (GRS_BMI) |
PSS000049| European Ancestry| 6,705 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.6 [0.42, 0.77] | — | — |
| PPM000075 | PGS000034 (GRS_BMI) |
PSS000052| European Ancestry| 6,436 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.07 [-0.04, 0.19] | — | — |
| PPM000076 | PGS000034 (GRS_BMI) |
PSS000045| European Ancestry| 1,699 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.23 [0.02, 0.44] | — | — |
| PPM000077 | PGS000034 (GRS_BMI) |
PSS000046| European Ancestry| 1,634 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): -0.1 [-0.29, 0.09] | — | — |
| PPM000078 | PGS000034 (GRS_BMI) |
PSS000047| European Ancestry| 2,020 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): -0.01 [-0.16, 0.14] | — | — |
| PPM001687 | PGS000716 (PGS295_elbs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.619 [0.596, 0.643] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001688 | PGS000716 (PGS295_elbs) |
PSS000881| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 24-29.9 | — | AUROC: 0.602 [0.585, 0.618] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001689 | PGS000716 (PGS295_elbs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.569 [0.564, 0.574] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001690 | PGS000716 (PGS295_elbs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.658 [0.628, 0.687] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001691 | PGS000716 (PGS295_elbs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.624 [0.589, 0.658] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001692 | PGS000716 (PGS295_elbs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.602 [0.59, 0.613] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001693 | PGS000716 (PGS295_elbs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.591 [0.582, 0.6] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001695 | PGS000717 (PGS557_albs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.66 [0.57, 0.75] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001696 | PGS000717 (PGS557_albs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.661 [0.551, 0.77] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001736 | PGS000027 (GPS_BMI) |
PSS000891| European Ancestry| 14,487 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 1.9 [1.68, 2.14] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM000761 | PGS000298 (GRS941_BMI) |
PSS000374| European Ancestry| 1,318 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0579 | Sex, age | — |
| PPM000762 | PGS000298 (GRS941_BMI) |
PSS000375| European Ancestry| 1,313 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0612 | Sex, age | — |
| PPM000763 | PGS000298 (GRS941_BMI) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0647 | Sex, age | — |
| PPM000764 | PGS000298 (GRS941_BMI) |
PSS000377| European Ancestry| 1,174 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0655 | Sex, age | — |
| PPM000765 | PGS000298 (GRS941_BMI) |
PSS000378| European Ancestry| 1,095 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0591 | Sex, age | — |
| PPM001699 | PGS000717 (PGS557_albs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.6 [0.595, 0.605] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM000860 | PGS000320 (PRS_BMI) |
PSS000411| European Ancestry| 104 individuals |
PGP000096 | Chami N et al. PLoS Med (2020) |
Reported Trait: Body mass index (BMI; kg/m^2) in MC4R carriers | — | — | Higher PRS in obese vs. normal weight MC4R mutation carriers (p-value): 1.70e-06 | age, sex, 10 genetic PCs | — |
| PPM000859 | PGS000320 (PRS_BMI) |
PSS000412| European Ancestry| 256,770 individuals |
PGP000096 | Chami N et al. PLoS Med (2020) |
Reported Trait: Body mass index (BMI; kg/m^2) in MC4R non-carriers | — | — | Higher PRS in obese vs. normal weight MC4R non-carriers (p-value): 2.00e-16 | age, sex, 10 genetic PCs | — |
| PPM000858 | PGS000320 (PRS_BMI) |
PSS000413| European Ancestry| 451,508 individuals |
PGP000096 | Chami N et al. PLoS Med (2020) |
Reported Trait: Body mass index (BMI; kg/m^2) | β: 1.29 | — | R²: 0.0676 | age, sex, 10 genetic PCs | — |
| PPM001769 | PGS000027 (GPS_BMI) |
PSS000911| Greater Middle Eastern Ancestry| 13,989 individuals |
PGP000147 | Thareja G et al. Nat Commun (2021) |Ext. |
Reported Trait: Body mass index | — | — | Pearson correlation coefficent (r): 0.22 | — | — |
| PPM001633 | PGS000716 (PGS295_elbs) |
PSS000849| European Ancestry| 5,898 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Childhood body mass index | — | AUROC: 0.64 | — | — | — |
| PPM001634 | PGS000717 (PGS557_albs) |
PSS000849| European Ancestry| 5,898 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Childhood body mass index | — | AUROC: 0.61 | — | — | — |
| PPM001635 | PGS000716 (PGS295_elbs) |
PSS000847| European Ancestry| 3,997 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adolescent body mass index | — | AUROC: 0.63 | — | — | — |
| PPM001636 | PGS000717 (PGS557_albs) |
PSS000847| European Ancestry| 3,997 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adolescent body mass index | — | AUROC: 0.63 | — | — | — |
| PPM001637 | PGS000716 (PGS295_elbs) |
PSS000848| European Ancestry| 2,199 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adult body mass index | — | AUROC: 0.57 | — | — | — |
| PPM001638 | PGS000717 (PGS557_albs) |
PSS000848| European Ancestry| 2,199 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adult body mass index | — | AUROC: 0.6 | — | — | — |
| PPM001702 | PGS000717 (PGS557_albs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.595 [0.583, 0.607] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001703 | PGS000717 (PGS557_albs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.602 [0.593, 0.611] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001704 | PGS000717 (PGS557_albs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.585 [0.58, 0.589] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001705 | PGS000716 (PGS295_elbs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.739 [0.667, 0.811] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001706 | PGS000716 (PGS295_elbs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.66 [0.566, 0.754] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001737 | PGS000027 (GPS_BMI) |
PSS000891| European Ancestry| 14,487 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.0 [1.83, 2.19] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001738 | PGS000027 (GPS_BMI) |
PSS000892| European Ancestry| 17,740 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 1.72 [1.53, 1.93] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001739 | PGS000027 (GPS_BMI) |
PSS000892| European Ancestry| 17,740 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 1.89 [1.74, 2.05] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001721 | PGS000717 (PGS557_albs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.592 [0.58, 0.604] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001685 | PGS000716 (PGS295_elbs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.735 [0.663, 0.806] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001686 | PGS000716 (PGS295_elbs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.672 [0.577, 0.766] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001694 | PGS000716 (PGS295_elbs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.568 [0.563, 0.573] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001697 | PGS000717 (PGS557_albs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.629 [0.606, 0.652] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001698 | PGS000717 (PGS557_albs) |
PSS000881| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 24-29.9 | — | AUROC: 0.627 [0.611, 0.643] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001700 | PGS000717 (PGS557_albs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.591 [0.559, 0.623] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001701 | PGS000717 (PGS557_albs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.618 [0.583, 0.653] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001724 | PGS000027 (GPS_BMI) |
PSS000885| European Ancestry| 19,588 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 2.02 [1.66, 2.46] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001729 | PGS000027 (GPS_BMI) |
PSS000887| European Ancestry| 26,323 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.15 [1.97, 2.34] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS000892 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 58.9 years Sd = 11.9 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000849 | Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. | — | 5,898 individuals | Mean = 9.9 years | European | — | ALSPAC | ALSPAC offspring |
| PSS000911 | — | — | 13,989 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS000890 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 51.2 years Sd = 15.0 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000045 | BMI difference between ages 21 and 45 | — | 1,699 individuals, 100.0 % Male samples |
— | European | — | HPFS | — |
| PSS000046 | BMI difference between ages 45 and 65 | — | 1,634 individuals, 100.0 % Male samples |
— | European | — | HPFS | — |
| PSS000047 | BMI difference between ages 65 and 80 | — | 2,020 individuals, 100.0 % Male samples |
— | European | — | HPFS | — |
| PSS000048 | BMI difference between ages 18 and 45 | — | 5,956 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000049 | BMI difference between age 18 and Menopause | — | 6,705 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000050 | BMI difference between ages 45 and 65 | — | 5,640 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000051 | BMI difference between ages 65 and 80 | — | 2,942 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000052 | BMI difference between Menopause and age 65 | — | 6,436 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000369 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 334 individuals, 69.2 % Male samples |
Mean = 11.1 years Sd = 0.48 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000370 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 329 individuals, 69.2 % Male samples |
Mean = 12.81 years Sd = 0.59 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000371 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 288 individuals, 69.2 % Male samples |
Mean = 15.83 years Sd = 0.6 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000372 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 265 individuals, 69.2 % Male samples |
Mean = 19.2 years Sd = 0.66 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000373 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 245 individuals, 69.2 % Male samples |
Mean = 22.04 years Sd = 0.69 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000374 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,318 individuals, 47.6 % Male samples |
Mean = 11.1 years | European | — | TRAILS | — |
| PSS000375 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,313 individuals, 47.6 % Male samples |
Mean = 13.5 years | European | — | TRAILS | — |
| PSS000376 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,354 individuals, 47.56 % Male samples |
Mean = 16.22 years Sd = 0.66 years |
European | — | TRAILS | — |
| PSS000377 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,174 individuals, 47.6 % Male samples |
Mean = 19.2 years | European | — | TRAILS | — |
| PSS000378 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,095 individuals, 47.6 % Male samples |
Mean = 22.4 years | European | — | TRAILS | — |
| PSS000411 | 59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | [
|
— | European | — | UKB | — |
| PSS000412 | 59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | [
|
— | European | — | UKB | — |
| PSS000413 | All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | 206,612 individuals, 100.0 % Male samples |
Mean = 57.0 years Sd = 8.1 years |
European | — | UKB | — |
| PSS000413 | All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | 244,896 individuals, 0.0 % Male samples |
Mean = 57.0 years Sd = 7.9 years |
European | — | UKB | — |
| PSS000848 | Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. | — | 2,199 individuals, 0.0 % Male samples |
Mean = 50.8 years | European | — | ALSPAC | ALSPAC mothers |
| PSS000847 | Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. | — | 3,997 individuals | Mean = 17.8 years | European | — | ALSPAC | ALSPAC offspring |
| PSS000875 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000876 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000877 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000878 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000879 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000880 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000881 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000882 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000883 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000884 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000885 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 42.4 years Sd = 12.6 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000886 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 42.6 years Sd = 12.8 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000887 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 47.6 years Sd = 16.1 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000888 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 47.1 years Sd = 16.5 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000889 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 52.3 years Sd = 14.5 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000037 | — | — | 288,016 individuals, 45.0 % Male samples |
— | European | — | UKB | — |
| PSS000891 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 60.2 years Sd = 11.5 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |