Evidence map›Paper›PMID 37308106›Full record

SynthesisDiabetes care2023

Common and Distinct Genetic Architecture of Age at Diagnosis of Diabetes in South Indian and European Populations.

Sundararajan Srinivasan, Samuel Liju, Natarajan Sathish, Moneeza K Siddiqui, Ranjit Mohan Anjana, Ewan R Pearson, Alexander S F Doney, Viswanathan Mohan, Venkatesan Radha, Colin N A Palmer

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Article
  8. Integrating Polygenic Risk Scores (PRS) for Personalized Diabetes Care: Advancing Clinical Practice with Tailored Pharmacological Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  9. Article
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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

10 authors at 2 institutions in 2 countries.

Sundararajan SrinivasanDivision of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K.ORCID 0000-0002-3387-9889
Samuel LijuMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Natarajan SathishMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Moneeza K SiddiquiDivision of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K.ORCID 0000-0001-9055-3896
Ranjit Mohan AnjanaMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.ORCID 0000-0002-4843-1374
Ewan R PearsonDivision of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K.ORCID 0000-0001-9237-8585
Alexander S F DoneyDivision of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K.
Viswanathan MohanMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Venkatesan RadhaMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.ORCID 0000-0002-4281-0250
Colin N A PalmerDivision of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K.ORCID 0000-0002-6415-6560
Madras Diabetes Research Foundation · INNinewells Hospital · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveSouth Asians are diagnosed with type 2 diabetes (T2D) more than a decade earlier in life than seen in European populations. We hypothesized that studying the genomics of age of diagnosis in these populations may give insight into the earlier age diagnosis of T2D among individuals of South Asian descent. RESEARCH DESIGN AND

methodsWe conducted a meta-analysis of genome-wide association studies (GWAS) of age at diagnosis of T2D in 34,001 individuals from four independent cohorts of European and South Asian Indians.

resultsWe identified two signals near the TCF7L2 and CDKAL1 genes associated with age at the onset of T2D. The strongest genome-wide significant variants at chromosome 10q25.3 in TCF7L2 (rs7903146; P = 2.4 × 10-12, β = -0.436; SE 0.02) and chromosome 6p22.3 in CDKAL1 (rs9368219; P = 2.29 × 10-8; β = -0.053; SE 0.01) were directionally consistent across ethnic groups and present at similar frequencies; however, both loci harbored additional independent signals that were only present in the South Indian cohorts. A genome-wide signal was also obtained at chromosome 10q26.12 in WDR11 (rs3011366; P = 3.255 × 10-8; β = 1.44; SE 0.25), specifically in the South Indian cohorts. Heritability estimates for the age at diagnosis were much stronger in South Indians than Europeans, and a polygenic risk score constructed based on South Indian GWAS explained ∼2% trait variance.

conclusionsOur findings provide a better understanding of ethnic differences in the age at diagnosis and indicate the potential importance of ethnic differences in the genetic architecture underpinning T2D.

Indexed as

Diabetes Mellitus, Type 2European PeopleSouth Asian PeopleAge FactorsAge of OnsetBromodomain Containing ProteinsEthnicityGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMembrane ProteinsPolymorphism, Single NucleotideProto-Oncogene ProteinsTranscription Factor 7-Like 2 ProteintRNA MethyltransferasesBromodomain Containing ProteinsCDKAL1 protein, humanMembrane ProteinsProto-Oncogene ProteinsTCF7L2 protein, humanTranscription Factor 7-Like 2 ProteintRNA MethyltransferasesWDR11 protein, human

Identifiers

PMID37308106
PMCPMC10369131
OpenAlexW4380368934

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.