Evidence map›Paper›PMID 36412575›Full record

ArticleeLife2022

The genetic risk of gestational diabetes in South Asian women.

Amel Lamri, Jayneel Limbachia, Karleen M Schulze, Dipika Desai, Brian Kelly, Russell J de Souza, Guillaume Paré, Deborah A Lawlor, John Wright, Sonia S Anand and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

11 authors at 3 institutions in 2 countries.

Amel LamriDepartment of Medicine, McMaster University, Hamilton, Canada.ORCID 0000-0001-7182-0661
Jayneel LimbachiaPopulation Health Research Institute, Hamilton, Canada.
Karleen M SchulzePopulation Health Research Institute, Hamilton, Canada.
Dipika DesaiPopulation Health Research Institute, Hamilton, Canada.
Brian KellyBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, United Kingdom.
Russell J de SouzaPopulation Health Research Institute, Hamilton, Canada.
Guillaume ParéPopulation Health Research Institute, Hamilton, Canada.ORCID 0000-0002-6795-4760
Deborah A LawlorPopulation Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
John WrightBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, United Kingdom.
Sonia S AnandDepartment of Medicine, McMaster University, Hamilton, Canada.ORCID 0000-0003-3692-7441
Born in Bradford and START investigators
Population Health Research Institute · CABradford Royal Infirmary · GBUniversity of Bristol · GB

Funding

British Heart Foundation CH/F/20/90003CIHR 298104CIHR FDN-143255Medical Research Council MC_PC_21038Medical Research Council MR/N024397/1UK Medical Research Council MC_UU_00011/6Wellcome WT101597MAWellcome Trust
6 · The paper itself

Abstract

South Asian women are at increased risk of developing gestational diabetes mellitus (GDM). Few studies have investigated the genetic contributions to GDM risk. We investigated the association of a type 2 diabetes (T2D) polygenic risk score (PRS), on its own, and with GDM risk factors, on GDM-related traits using data from two birth cohorts in which South Asian women were enrolled during pregnancy. 837 and 4372 pregnant South Asian women from the SouTh Asian BiRth CohorT (START) and Born in Bradford (BiB) cohort studies underwent a 75-g glucose tolerance test. PRSs were derived using genome-wide association study results from an independent multi-ethnic study (~18% South Asians). Associations with fasting plasma glucose (FPG); 2 hr post-load glucose (2hG); area under the curve glucose; and GDM were tested using linear and logistic regressions. The population attributable fraction (PAF) of the PRS was calculated. Every 1 SD increase in the PRS was associated with a 0.085 mmol/L increase in FPG ([95% confidence interval, CI=0.07-0.10], p=2.85×10

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2Asian PeopleFemaleGenome-Wide Association StudyGlucoseHumansPregnancyRisk FactorsGlucoseBorn in Bradfordgeneticsgenomicsgestational diabetes mellitushumanpolygenic risk scoreSouth AsianSouth Asian birth cohort (START)Type 2 diabetes

Identifiers

PMID36412575
PMCPMC9683781
OpenAlexW4309505012

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.