Evidence map›Paper›PMID 40451158›Full record

ArticleLifestyle genomics2025

Type 2 Diabetes Polygenic Risk Score Interactions with Lifestyle Risk Factors in Black Americans.

Ashley W Scadden, Aastha Kakar, Elizabeth M Litkowski, Mariah C Meyer, Nicole D Armstrong, Steven Buyske, Yanwei Cai, Iona Cheng, Burcu F Darst, Myriam Fornage and 19 more

Abstract read
In one paragraph

Article in Lifestyle genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Ashley W ScaddenDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA, ashley.scadden@cuanschutz.edu.
Aastha KakarDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Elizabeth M LitkowskiDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Mariah C MeyerDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Nicole D ArmstrongDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, North Carolina, USA.
Steven BuyskeDepartment of Statistics, Rutgers University, Piscataway, New Jersey, USA.
Yanwei CaiDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Iona ChengDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, USA.
Burcu F DarstDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Myriam FornageBrown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Mariaelisa GraffDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Boya GuoDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Christopher A HaimanDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Heather M HighlandDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Loïc Le MarchandEpidemiology Section, University of Hawaii Cancer Center, Honolulu, Hawaii, USA.
Kari NorthDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Ulrike PetersDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Stephen S RichDepartment of Genome Sciences, University of Virginia, Charlottesville, Virginia, USA.
Jerome I RotterPediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
Vinodh SrinivasasainagendraDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Hemant K TiwariDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Stephanie WaldropDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Kristin YoungDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Sridharan RaghavanDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Ethan M LangeDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Leslie A LangeDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Marguerite R IrvinDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, North Carolina, USA.
Maggie A StanislawskiDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
WOMEN'S HEALTH INITIATIVE - CLINICAL COORDINATING CENTER: TASK AREA B - LONG LIFE STUDY VISIT 2 LIMITED HOME VISIT75N92021D00001 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L. · 2021 to 2025
$52.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALAN R. SALTIEL · 2003 to 2026
$40.4M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
VALIDATION OF A DIET HISTORY METHOD FOR EPIDEMIOLOGIC STUDIES OF CANCERP01CA033619 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1985 to 2010
$18.5M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NCI NIH HHS P01 CA033619NCI NIH HHS R01 CA054281NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA098758NCI NIH HHS U01 CA136792NCI NIH HHS U01 CA164973NCRR NIH HHS UL1 RR025005NHGRI NIH HHS R01 HG010297NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01 HG004802NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS 75N92021D00001NHLBI NIH HHS 75N92021D00002NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K01 HL157658NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL136666NHLBI NIH HHS R01 HL151152NHLBI NIH HHS R35 HL155466NIDDK NIH HHS P30 DK063491NIMHD NIH HHS HHSN268201800013ININDS NIH HHS R01 NS136542NINDS NIH HHS U01 NS041588WHI NIH HHS 75N92021D00003WHI NIH HHS 75N92021D00004WHI NIH HHS 75N92021D00005
6 · The paper itself

Abstract

introductionPrior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.

methodsWe used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.

resultsThe results are generally consistent with prior work in White populations. The PRS showed a significant interaction with body mass index, with a greater effect on T2D risk in individuals who were leaner (pinteraction = 0.038).

conclusionThese results contribute to understanding the relationship between genetics and other T2D risk factors in Black Americans who have a high burden of T2D, potentially informing targeted prevention strategies.

Indexed as

Black or African AmericanDiabetes Mellitus, Type 2Genetic Risk ScoreLife StyleAdultAgedBody Mass IndexCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultifactorial InheritanceBody mass indexDiabetesEpidemiologyLifestyle interactionsPolygenic risk scores

Identifiers

PMID40451158
PMCPMC12235720

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.