Evidence map›Paper›PMID 35015074›Full record

SynthesisDiabetes care2022

Polygenic Prediction of Type 2 Diabetes in Africa.

Tinashe Chikowore, Kenneth Ekoru, Marijana Vujkovi, Dipender Gill, Fraser Pirie, Elizabeth Young, Manjinder S Sandhu, Mark McCarthy, Charles Rotimi, Adebowale Adeyemo and 2 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

12 authors at 9 institutions in 4 countries.

Tinashe ChikoworeMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Kenneth EkoruCenter for Research on Genomics and Global Health, National Institute of Health, Bethesda, MD.
Marijana VujkoviCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Fraser PirieDepartment of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, South Africa.
Elizabeth YoungOmnigen Biodata Ltd, Cambridge, U.K.
Manjinder S SandhuDepartment of Epidemiology and Biostatistics, Imperial College, London, U.K.
Mark McCarthyWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K.
Charles RotimiCenter for Research on Genomics and Global Health, National Institute of Health, Bethesda, MD.
Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Institute of Health, Bethesda, MD.
Ayesha MotalaDepartment of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0003-0517-1784
Segun FatumoLondon School of Hygiene and Tropical Medicine, London, U.K.ORCID 0000-0003-4525-3362
Center for Global Health · USUniversity of KwaZulu-Natal · ZABiogen (United States) · USCentre for Human Genetics · GBImperial College London · GBPhiladelphia VA Medical Center · USSt George's, University of London · GBUniversity of London · GBUniversity of the Witwatersrand · ZA

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
MINORITY INTERNATIONAL RESEARCH TRAINING GRANTT37TW000041 · FIC · HOWARD UNIVERSITY · PI ADAMS-CAMPBELL, LUCILE L · 1993 to 1998
–
British Heart Foundation RE/18/4/34215Department of Health CL-2020-16-001FIC NIH HHS T37 TW000041Intramural NIH HHS ZIA HG200362Wellcome TrustWellcome Trust 214205/Z/18/ZWellcome Trust 220740/Z/20/Z
6 · The paper itself

Abstract

objectivePolygenic prediction of type 2 diabetes (T2D) in continental Africans is adversely affected by the limited number of genome-wide association studies (GWAS) of T2D from Africa and the poor transferability of European-derived polygenic risk scores (PRSs) in diverse ethnicities. We set out to evaluate if African American, European, or multiethnic-derived PRSs would improve polygenic prediction in continental Africans. RESEARCH DESIGN AND

methodsUsing the PRSice software, ethnic-specific PRSs were computed with weights from the T2D GWAS multiancestry meta-analysis of 228,499 case and 1,178,783 control subjects. The South African Zulu study (n = 1,602 case and 981 control subjects) was used as the target data set. Validation and assessment of the best predictive PRS association with age at diagnosis were conducted in the Africa America Diabetes Mellitus (AADM) study (n = 2,148 case and 2,161 control subjects).

resultsThe discriminatory ability of the African American and multiethnic PRSs was similar. However, the African American-derived PRS was more transferable in all the countries represented in the AADM cohort and predictive of T2D in the country combined analysis compared with the European and multiethnic-derived scores. Notably, participants in the 10th decile of this PRS had a 3.63-fold greater risk (odds ratio 3.63; 95% CI 2.19-4.03; P = 2.79 × 10-17) per risk allele of developing diabetes and were diagnosed 2.6 years earlier than those in the first decile.

conclusionsAfrican American-derived PRS enhances polygenic prediction of T2D in continental Africans. Improved representation of non-European populations (including Africans) in GWAS promises to provide better tools for precision medicine interventions in T2D.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyBlack or African AmericanBlack PeopleHumansMultifactorial InheritanceRisk FactorsSouth Africa

Identifiers

PMID35015074
PMCPMC8918234
OpenAlexW4206200410

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.