Trait: body mass index

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004340
Description An indicator of body density as determined by the relationship of BODY WEIGHT to BODY HEIG... HT. BMI=weight (kg)/height squared (m2). BMI correlates with body fat (ADIPOSE TISSUE). Their relationship varies with age and gender. For adults, BMI falls into these categories: below 18.5 (underweight); 18.5-24.9 (normal); 25.0-29.9 (overweight); 30.0 and above (obese). (National Center for Health Statistics, Centers for Disease Control and Prevention)Show more
Trait category
Body measurement
Synonyms 2 synonyms
  • BMI
  • Quetelet's Index
Mapped terms 5 mapped terms
  • ICD9:V85-V85.99
  • MESH:D015992
  • MedDRA:10005894
  • NCIt:C16358
  • SNOMEDCT:60621009
Child trait(s) overweight body mass index status

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
Note: This table shows all PGS for "body mass index" and any child terms of this trait in the EFO hierarchy by default.
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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)
PGS000027
(GPS_BMI)
PGP000017 |
Khera AV et al. Cell (2019)
Body mass index (BMI)body mass index2,100,302
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000027/ScoringFiles/PGS000027.txt.gz - Check Terms/Licenses
PGS000034
(GRS_BMI)
PGP000021 |
Song M et al. Diabetes (2017)
Adult body mass index (BMI)body mass index97
G
-
E
 https://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 (BMI)body mass index941
G
-
E
 https://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 (BMI)body mass index263,640
G
D
E
 https://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 sizebody mass index,
comparative body size at age 10, self-reported		295
G
-
E
 https://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 sizebody mass index557
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000717/ScoringFiles/PGS000717.txt.gz
PGS000770
(PRS231)
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Body mass index (BMI)body mass index231
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000770/ScoringFiles/PGS000770.txt.gz
PGS000829
(BMI_PGS_M)
PGP000210 |
Zubair N et al. Sci Rep (2019)
Body mass index (BMI) (male)body mass index,
male		290
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000829/ScoringFiles/PGS000829.txt.gz - Check Terms/Licenses
PGS000830
(BMI_PGS_F)
PGP000210 |
Zubair N et al. Sci Rep (2019)
Body mass index (BMI) (female)body mass index,
female		372
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000830/ScoringFiles/PGS000830.txt.gz - Check Terms/Licenses
PGS000841
(BMI)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Body mass index (BMI)body mass index122
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000841/ScoringFiles/PGS000841.txt.gz
PGS000910
(PRS_BMI)
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Body mass index (BMI)body mass index735,440
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000910/ScoringFiles/PGS000910.txt.gz
PGS000921
(PRS_BMI)
PGP000243 |
Borisevich D et al. PLoS One (2021)
Body mass index (BMI)body mass index1,947,711
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000921/ScoringFiles/PGS000921.txt.gz
PGS001228
(GBE_INI21001)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Body mass index (BMI)body mass index27,126
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001228/ScoringFiles/PGS001228.txt.gz
PGS001825
(portability-PLR_278)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Overweight, obesity and other hyperalimentationobesity,
overweight body mass index status,
overnutrition		13,009
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001825/ScoringFiles/PGS001825.txt.gz
PGS001943
(portability-PLR_log_BMI)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index110,153
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001943/ScoringFiles/PGS001943.txt.gz
PGS002033
(portability-ldpred2_278)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Overweight, obesity and other hyperalimentationobesity,
overweight body mass index status,
overnutrition		846,292
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002033/ScoringFiles/PGS002033.txt.gz
PGS002161
(portability-ldpred2_log_BMI)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index990,022
-
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002161/ScoringFiles/PGS002161.txt.gz
PGS002251
(PRS97_BMI)
PGP000278 |
Dashti HS et al. BMC Med (2022)
Body mass index (BMI)body mass index97
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002251/ScoringFiles/PGS002251.txt.gz
PGS002313
(body_BMIz.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index1,109,311
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002313/ScoringFiles/PGS002313.txt.gz
PGS002360
(body_BMIz.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index920,920
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002360/ScoringFiles/PGS002360.txt.gz
PGS002385
(body_BMIz.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index15,518
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002385/ScoringFiles/PGS002385.txt.gz
PGS002434
(body_BMIz.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index41,662
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002434/ScoringFiles/PGS002434.txt.gz
PGS002483
(body_BMIz.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index162,598
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002483/ScoringFiles/PGS002483.txt.gz
PGS002532
(body_BMIz.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index4,284
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002532/ScoringFiles/PGS002532.txt.gz
PGS002581
(body_BMIz.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index2,385
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002581/ScoringFiles/PGS002581.txt.gz
PGS002630
(body_BMIz.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index620,484
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002630/ScoringFiles/PGS002630.txt.gz
PGS002679
(body_BMIz.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI)body mass index987,879
G
-
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002679/ScoringFiles/PGS002679.txt.gz
PGS002751
(GRSrare)
PGP000363 |
Sapkota Y et al. Nat Med (2022)
Body mass index (BMI)body mass index14
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002751/ScoringFiles/PGS002751.txt.gz
PGS002840
(ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,062,550
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002840/ScoringFiles/PGS002840.txt.gz
PGS002841
(ExPRSweb_BMI_21001-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index32,980
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002841/ScoringFiles/PGS002841.txt.gz
PGS002842
(ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index51,983
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002842/ScoringFiles/PGS002842.txt.gz
PGS002843
(ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,444,639
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002843/ScoringFiles/PGS002843.txt.gz
PGS002844
(ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002844/ScoringFiles/PGS002844.txt.gz
PGS002845
(ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,052,511
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002845/ScoringFiles/PGS002845.txt.gz
PGS002846
(ExPRSweb_BMI_21001-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index32,526
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002846/ScoringFiles/PGS002846.txt.gz
PGS002847
(ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index51,370
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002847/ScoringFiles/PGS002847.txt.gz
PGS002848
(ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,444,629
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002848/ScoringFiles/PGS002848.txt.gz
PGS002849
(ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002849/ScoringFiles/PGS002849.txt.gz
PGS002850
(ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,053,861
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002850/ScoringFiles/PGS002850.txt.gz
PGS002851
(ExPRSweb_BMI_23104-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index32,697
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002851/ScoringFiles/PGS002851.txt.gz
PGS002852
(ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index51,563
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002852/ScoringFiles/PGS002852.txt.gz
PGS002853
(ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,446,664
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002853/ScoringFiles/PGS002853.txt.gz
PGS002854
(ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002854/ScoringFiles/PGS002854.txt.gz
PGS002855
(ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,044,654
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002855/ScoringFiles/PGS002855.txt.gz
PGS002856
(ExPRSweb_BMI_23104-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index28,689
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002856/ScoringFiles/PGS002856.txt.gz
PGS002857
(ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index44,240
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002857/ScoringFiles/PGS002857.txt.gz
PGS002858
(ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,446,652
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002858/ScoringFiles/PGS002858.txt.gz
PGS002859
(ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002859/ScoringFiles/PGS002859.txt.gz
PGS003124
(ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinnessbody mass index224,595
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003124/ScoringFiles/PGS003124.txt.gz
PGS003125
(ExPRSweb_Thinness_STILTS-UKHLS_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinnessbody mass index256
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003125/ScoringFiles/PGS003125.txt.gz
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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.

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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
PPM000054PGS000027
(GPS_BMI)
PSS000037|
European Ancestry|
288,016 individuals
PGP000017 |
Khera AV et al. Cell (2019)
Reported Trait: Body mass indexβ: 1.41—R²: 0.08526First 10 genetic PCsBeta is in units of kg/m^2
PPM000071PGS000034
(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]——
PPM000072PGS000034
(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]——
PPM000073PGS000034
(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]——
PPM000074PGS000034
(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]——
PPM000075PGS000034
(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]——
PPM000076PGS000034
(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]——
PPM000077PGS000034
(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]——
PPM000078PGS000034
(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]——
PPM000761PGS000298
(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: 0.0579Sex, age—
PPM000762PGS000298
(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: 0.0612Sex, age—
PPM000763PGS000298
(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: 0.0647Sex, age—
PPM000764PGS000298
(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: 0.0655Sex, age—
PPM000765PGS000298
(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: 0.0591Sex, age—
PPM000791PGS000298
(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: 0.0671Sex, age—
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Evaluated Samples

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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
PSS000037——288,016 individuals,
45.0 % Male samples
—European—UKB—
PSS000045BMI difference between ages 21 and 45—1,699 individuals,
100.0 % Male samples
—European—HPFS—
PSS000046BMI difference between ages 45 and 65—1,634 individuals,
100.0 % Male samples
—European—HPFS—
PSS000047BMI difference between ages 65 and 80—2,020 individuals,
100.0 % Male samples
—European—HPFS—
PSS000048BMI difference between ages 18 and 45—5,956 individuals,
0.0 % Male samples
—European—NHS—
PSS000049BMI difference between age 18 and Menopause—6,705 individuals,
0.0 % Male samples
—European—NHS—
PSS000050BMI difference between ages 45 and 65—5,640 individuals,
0.0 % Male samples
—European—NHS—
PSS000051BMI difference between ages 65 and 80—2,942 individuals,
0.0 % Male samples
—European—NHS—
PSS000052BMI difference between Menopause and age 65—6,436 individuals,
0.0 % Male samples
—European—NHS—
PSS000369Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherla... nds 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).Show more—334 individuals,
69.2 % Male samples
Mean = 11.1 years
Sd = 0.48 years		European—TRAILS, TRAILSCCTRAILS Clinical Cohort
PSS000370Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherla... nds 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).Show more—329 individuals,
69.2 % Male samples
Mean = 12.81 years
Sd = 0.59 years		European—TRAILS, TRAILSCCTRAILS Clinical Cohort
PSS000371Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherla... nds 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).Show more—288 individuals,
69.2 % Male samples
Mean = 15.83 years
Sd = 0.6 years		European—TRAILS, TRAILSCCTRAILS Clinical Cohort
PSS000372Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherla... nds 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).Show more—265 individuals,
69.2 % Male samples
Mean = 19.2 years
Sd = 0.66 years		European—TRAILS, TRAILSCCTRAILS Clinical Cohort
PSS000373Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherla... nds 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).Show more—245 individuals,
69.2 % Male samples
Mean = 22.04 years
Sd = 0.69 years		European—TRAILS, TRAILSCCTRAILS Clinical Cohort
PSS000374We measured weight and height using regularly calibrated equipment (scales and stadiometer models 77... 0 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).Show more—1,318 individuals,
47.6 % Male samples
Mean = 11.1 yearsEuropean—TRAILS—
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