Trait: fasting blood insulin measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004466
Description A fasting blood insulin measurement is a measurement of insulin in the blood at a predetermined point after the patient has fasted
Trait category
Other measurement
Synonyms 3 synonyms
  • fasting blood insulin
  • fasting blood insulin level
  • fasting insulin-related traits
Child trait(s) BMI-adjusted fasting blood insulin measurement

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 "fasting blood insulin measurement" and any child terms of this trait in the EFO hierarchy by default.
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)
PGS000307
(GRS12_FI)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Fasting insulin fasting blood insulin measurement 12
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000307/ScoringFiles/PGS000307.txt.gz
PGS000308
(GRS12_FIadjBMI)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Fasting insulin (body mass index adjusted) BMI-adjusted fasting blood insulin measurement 12
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000308/ScoringFiles/PGS000308.txt.gz
PGS000836
(F-INS)
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Fasting insulin fasting blood insulin measurement 223
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000836/ScoringFiles/PGS000836.txt.gz
PGS001351
(MAGICTA_EUR_PGS_FI)
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Fasting insulin fasting blood insulin measurement 1,025,098
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001351/ScoringFiles/PGS001351.txt.gz
PGS003466
(LDPred2_FI)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Fasting insulin fasting blood insulin measurement 850,362
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003466/ScoringFiles/PGS003466.txt.gz

Performance Metrics

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

PGS Performance
Metric ID (PPM) 		Evaluated Score PGS Sample Set ID
(PSS) 		Performance Source Trait PGS Effect Sizes
(per SD change) 		Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000777 PGS000307
(GRS12_FI)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Fasting insulin (mU/I) — — R²: 0.0145 Sex, age —
PPM000778 PGS000308
(GRS12_FIadjBMI)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Fasting insulin (mU/I) — — R²: 0.0069 Sex, age, BMI —
PPM002263 PGS000836
(F-INS)
 PSS001086|
European Ancestry|
3,194 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Autoimmune Diabetes OR: 0.97 [0.88, 1.08] — — PC1-10 —
PPM002264 PGS000836
(F-INS)
 PSS001087|
European Ancestry|
3,930 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Deficient Diabetes OR: 0.98 [0.91, 1.05] — — PC1-10 —
PPM002266 PGS000836
(F-INS)
 PSS001085|
European Ancestry|
4,116 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Obesity-related Diabetes OR: 1.04 [0.97, 1.11] — — PC1-10 —
PPM002267 PGS000836
(F-INS)
 PSS001084|
European Ancestry|
5,597 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Age-Related Diabetes OR: 0.96 [0.91, 1.01] — — PC1-10 —
PPM002265 PGS000836
(F-INS)
 PSS001088|
European Ancestry|
3,869 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.22 [1.14, 1.31] — — PC1-10 —
PPM005138 PGS001351
(MAGICTA_EUR_PGS_FI)
 PSS003590|
European Ancestry|
29,123 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Fasting insulin — — R²: 0.095 — —
PPM005141 PGS001351
(MAGICTA_EUR_PGS_FI)
 PSS003588|
African Ancestry|
8,101 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Fasting insulin — — R²: 0.028 — —
PPM005144 PGS001351
(MAGICTA_EUR_PGS_FI)
 PSS003589|
East Asian Ancestry|
26,691 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Fasting insulin — — R²: 0.014 — —
PPM020887 PGS001351
(MAGICTA_EUR_PGS_FI)
 PSS011442|
European Ancestry|
564 individuals
 PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.		 Reported Trait: Raised coronary lesion OR: 1.1 [0.91, 1.34] — — — —
PPM020892 PGS001351
(MAGICTA_EUR_PGS_FI)
 PSS011441|
African Ancestry|
504 individuals
 PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.		 Reported Trait: Raised coronary lesion OR: 1.15 [0.92, 1.42] — — — —
PPM017276 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: -0.004 (0.01) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017299 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: -0.003 (0.024) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017344 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in obsese β: 0.02 (0.017) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017345 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in non-obsese β: -0.013 (0.012) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017364 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in obsese β: 0.039 (0.034) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017365 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in non-obsese β: -0.04 (0.035) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017394 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index x obesity interaction β: 0.025 (1.026) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017404 PGS003466
(LDPred2_FI)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea x obesity interaction β: 1.091 (0.049) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —

Evaluated Samples

PGS Sample Set ID
(PSS) 		Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS011441 — —
[
  • 165 cases
  • , 339 controls
]
,
82.0 % Male samples
 Mean = 27.5 years African unspecified — PDAY —
PSS011442 — —
[
  • 181 cases
  • , 383 controls
]
,
77.0 % Male samples
 Mean = 26.7 years European — PDAY —
PSS003588 — — 8,101 individuals — African American or Afro-Caribbean — 9 cohorts
  • ARIC
  • ,CHS
  • ,FamHS
  • ,GENOA
  • ,GeneSTAR
  • ,HANDLS
  • ,JHS
  • ,MESA
  • ,WHI
 —
PSS003589 — — 26,691 individuals — East Asian
(Japanese, Filipino, Chinese, Han Chinese)		 — 10 cohorts
  • AASC
  • ,CAGE
  • ,CHNS
  • ,CRC
  • ,KARE
  • ,MESA
  • ,NHAPC
  • ,Nagahama_Study
  • ,SMHS
  • ,SP2
 —
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 —
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS, SOL —
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls —
[
  • 2,853 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls —
[
  • 1,372 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls —
[
  • 450 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls —
[
  • 1,186 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls —
[
  • 1,125 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS003590 — — 29,123 individuals — European — ARIC, METSIM, NTR, PROCARDIS —