Evidence map›Paper›PMID 38890458›Full record

ArticleScientific reports2024

Variant level heritability estimates of type 2 diabetes in African Americans.

Nicole D Armstrong, Amit Patki, Vinodh Srinivasasainagendra, Tian Ge, Leslie A Lange, Leah Kottyan, Bahram Namjou, Amy S Shah, Laura J Rasmussen-Torvik, Gail P Jarvik and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

15 authors.

Nicole D ArmstrongDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA. nmda@uab.edu.
Amit PatkiDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Vinodh SrinivasasainagendraDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Tian GeCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Leslie A LangeDivision of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Leah KottyanCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID 0000-0003-3979-2220
Bahram NamjouCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Amy S ShahDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center &, The University of Cincinnati, Cincinnati, OH, USA.
Laura J Rasmussen-TorvikDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Gail P JarvikDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA.
James B MeigsDivision of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Elizabeth W KarlsonDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Nita A LimdiDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Marguerite R IrvinDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Hemant K TiwariDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

Cardiorenal Genomics for Risk Prediction in African Descent PopulationsR35HL155466 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Marguerite R Irvin · 2021 to 2026
$5.1M
Shared and novel contributors to risk of stroke and stroke recurrence in a multiethnic population – the role of social determinants of health, genetics, and epigeneticsR01NS136542 · NINDS · UNIVERSITY OF VIRGINIA · PI HSU, FANG-CHI, KEENE, KEITH L · 2024 to 2025
$1.2M
NHLBI NIH HHS R35 HL155466NINDS NIH HHS R01 NS136542
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is caused by both genetic and environmental factors and is associated with an increased risk of cardiorenal complications and mortality. Though disproportionately affected by the condition, African Americans (AA) are largely underrepresented in genetic studies of T2D, and few estimates of heritability have been calculated in this race group. Using genome-wide association study (GWAS) data paired with phenotypic data from ~ 19,300 AA participants of the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, Genetics of Hypertension Associated Treatments (GenHAT) study, and the Electronic Medical Records and Genomics (eMERGE) network, we estimated narrow-sense heritability using two methods: Linkage-Disequilibrium Adjusted Kinships (LDAK) and Genome-Wide Complex Trait Analysis (GCTA). Study-level heritability estimates adjusting for age, sex, and genetic ancestry ranged from 18% to 34% across both methods. Overall, the current study narrows the expected range for T2D heritability in this race group compared to prior estimates, while providing new insight into the genetic basis of T2D in AAs for ongoing genetic discovery efforts.

Indexed as

Black or African AmericanDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyAgedFemaleHumansLinkage DisequilibriumMaleMiddle AgedMultifactorial InheritancePhenotypePolymorphism, Single NucleotideDisparitiesGenetic polymorphismsGenomicsHeritable quantitative traitType 2 diabetes mellitus

Identifiers

PMID38890458
PMCPMC11189523

What Socratic holds

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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 Socratic graph.