Polygenic Risk for Type 2 Diabetes in African Americans

Research output: Contribution to journal › Journal article › Research › peer-review

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Polygenic Risk for Type 2 Diabetes in African Americans. / Irvin, Marguerite R.; Ge, Tian; Patki, Amit; Srinivasasainagendra, Vinodh; Armstrong, Nicole D.; Davis, Brittney; Jones, Alana C.; Perez, Emma; Stalbow, Lauren; Lebo, Matthew; Kenny, Eimear; Loos, Ruth J.F.; Ng, Maggie C.Y.; Smoller, Jordan W.; Meigs, James B.; Lange, Leslie A.; Karlson, Elizabeth W.; Limdi, Nita A.; Tiwari, Hemant K.

In: Diabetes, Vol. 73, No. 6, 2024, p. 993-1001.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Irvin, MR, Ge, T, Patki, A, Srinivasasainagendra, V, Armstrong, ND, Davis, B, Jones, AC, Perez, E, Stalbow, L, Lebo, M, Kenny, E, Loos, RJF, Ng, MCY, Smoller, JW, Meigs, JB, Lange, LA, Karlson, EW, Limdi, NA & Tiwari, HK 2024, 'Polygenic Risk for Type 2 Diabetes in African Americans', Diabetes, vol. 73, no. 6, pp. 993-1001. https://doi.org/10.2337/db23-0232

APA

Irvin, M. R., Ge, T., Patki, A., Srinivasasainagendra, V., Armstrong, N. D., Davis, B., Jones, A. C., Perez, E., Stalbow, L., Lebo, M., Kenny, E., Loos, R. J. F., Ng, M. C. Y., Smoller, J. W., Meigs, J. B., Lange, L. A., Karlson, E. W., Limdi, N. A., & Tiwari, H. K. (2024). Polygenic Risk for Type 2 Diabetes in African Americans. Diabetes, 73(6), 993-1001. https://doi.org/10.2337/db23-0232

Vancouver

Irvin MR, Ge T, Patki A, Srinivasasainagendra V, Armstrong ND, Davis B et al. Polygenic Risk for Type 2 Diabetes in African Americans. Diabetes. 2024;73(6):993-1001. https://doi.org/10.2337/db23-0232

Author

Irvin, Marguerite R. ; Ge, Tian ; Patki, Amit ; Srinivasasainagendra, Vinodh ; Armstrong, Nicole D. ; Davis, Brittney ; Jones, Alana C. ; Perez, Emma ; Stalbow, Lauren ; Lebo, Matthew ; Kenny, Eimear ; Loos, Ruth J.F. ; Ng, Maggie C.Y. ; Smoller, Jordan W. ; Meigs, James B. ; Lange, Leslie A. ; Karlson, Elizabeth W. ; Limdi, Nita A. ; Tiwari, Hemant K. / Polygenic Risk for Type 2 Diabetes in African Americans. In: Diabetes. 2024 ; Vol. 73, No. 6. pp. 993-1001.

Bibtex

@article{62309bc31eec4ac99787de79bf5cb667,
title = "Polygenic Risk for Type 2 Diabetes in African Americans",
abstract = "African Americans (AAs) have been underrepresented in polygenic risk score (PRS) studies. Here, we integrated genome-wide data from multiple observational studies on type 2 diabetes (T2D), encompassing a total of 101,987 AAs, to train and optimize an AA-focused T2D PRS (PRSAA), using a Bayesian polygenic modeling method. We further tested the score in three independent studies with a total of 7,275 AAs and compared the PRSAA with other published scores. Results show that a 1-SD increase in the PRSAA was associated with 40–60% increase in the odds of T2D (odds ratio [OR] 1.60, 95% CI 1.37–1.88; OR 1.40, 95% CI 1.16–1.70; and OR 1.45, 95% CI 1.30–1.62) across three testing cohorts. These models captured 1.0–2.6% of the variance (R2) in T2D on the liability scale. The positive predictive values for three calculated score thresholds (the top 2%, 5%, and 10%) ranged from 14 to 35%. The PRSAA,ingeneral, performed similarly to existing T2D PRS. The need remains for larger data sets to continue to evaluate the utility of within-ancestry scores in the AA population.",
author = "Irvin, {Marguerite R.} and Tian Ge and Amit Patki and Vinodh Srinivasasainagendra and Armstrong, {Nicole D.} and Brittney Davis and Jones, {Alana C.} and Emma Perez and Lauren Stalbow and Matthew Lebo and Eimear Kenny and Loos, {Ruth J.F.} and Ng, {Maggie C.Y.} and Smoller, {Jordan W.} and Meigs, {James B.} and Lange, {Leslie A.} and Karlson, {Elizabeth W.} and Limdi, {Nita A.} and Tiwari, {Hemant K.}",
note = "Publisher Copyright: {\textcopyright} 2024 by the American Diabetes Association.",
year = "2024",
doi = "10.2337/db23-0232",
language = "English",
volume = "73",
pages = "993--1001",
journal = "Diabetes",
issn = "0012-1797",
publisher = "American Diabetes Association",
number = "6",

}

RIS

TY - JOUR

T1 - Polygenic Risk for Type 2 Diabetes in African Americans

AU - Irvin, Marguerite R.

AU - Ge, Tian

AU - Patki, Amit

AU - Srinivasasainagendra, Vinodh

AU - Armstrong, Nicole D.

AU - Davis, Brittney

AU - Jones, Alana C.

AU - Perez, Emma

AU - Stalbow, Lauren

AU - Lebo, Matthew

AU - Kenny, Eimear

AU - Loos, Ruth J.F.

AU - Ng, Maggie C.Y.

AU - Smoller, Jordan W.

AU - Meigs, James B.

AU - Lange, Leslie A.

AU - Karlson, Elizabeth W.

AU - Limdi, Nita A.

AU - Tiwari, Hemant K.

N1 - Publisher Copyright: © 2024 by the American Diabetes Association.

PY - 2024

Y1 - 2024

N2 - African Americans (AAs) have been underrepresented in polygenic risk score (PRS) studies. Here, we integrated genome-wide data from multiple observational studies on type 2 diabetes (T2D), encompassing a total of 101,987 AAs, to train and optimize an AA-focused T2D PRS (PRSAA), using a Bayesian polygenic modeling method. We further tested the score in three independent studies with a total of 7,275 AAs and compared the PRSAA with other published scores. Results show that a 1-SD increase in the PRSAA was associated with 40–60% increase in the odds of T2D (odds ratio [OR] 1.60, 95% CI 1.37–1.88; OR 1.40, 95% CI 1.16–1.70; and OR 1.45, 95% CI 1.30–1.62) across three testing cohorts. These models captured 1.0–2.6% of the variance (R2) in T2D on the liability scale. The positive predictive values for three calculated score thresholds (the top 2%, 5%, and 10%) ranged from 14 to 35%. The PRSAA,ingeneral, performed similarly to existing T2D PRS. The need remains for larger data sets to continue to evaluate the utility of within-ancestry scores in the AA population.

AB - African Americans (AAs) have been underrepresented in polygenic risk score (PRS) studies. Here, we integrated genome-wide data from multiple observational studies on type 2 diabetes (T2D), encompassing a total of 101,987 AAs, to train and optimize an AA-focused T2D PRS (PRSAA), using a Bayesian polygenic modeling method. We further tested the score in three independent studies with a total of 7,275 AAs and compared the PRSAA with other published scores. Results show that a 1-SD increase in the PRSAA was associated with 40–60% increase in the odds of T2D (odds ratio [OR] 1.60, 95% CI 1.37–1.88; OR 1.40, 95% CI 1.16–1.70; and OR 1.45, 95% CI 1.30–1.62) across three testing cohorts. These models captured 1.0–2.6% of the variance (R2) in T2D on the liability scale. The positive predictive values for three calculated score thresholds (the top 2%, 5%, and 10%) ranged from 14 to 35%. The PRSAA,ingeneral, performed similarly to existing T2D PRS. The need remains for larger data sets to continue to evaluate the utility of within-ancestry scores in the AA population.

U2 - 10.2337/db23-0232

DO - 10.2337/db23-0232

M3 - Journal article

C2 - 38470993

AN - SCOPUS:85194013568

VL - 73

SP - 993

EP - 1001

JO - Diabetes

JF - Diabetes

SN - 0012-1797

IS - 6

ER -

ID: 395391957