Evidence map›Paper›PMID 36865330›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Distinct and shared genetic architectures of Gestational diabetes mellitus and Type 2 Diabetes Mellitus.

A Elliott, R K Walters, M Pirinen, M Kurki, N Junna, J Goldstein, M P Reeve, H Siirtola, S Lemmelä, P Turley and 4 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 9 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

A ElliottAnalytic and Translational Genetics Unit, Massachusetts Gen. Hosp., Boston, MA.
R K WaltersAnalytic and Translational Genetics Unit, Massachusetts Gen. Hosp., Boston, MA.
M PirinenInstitute for Molecular Med. Finland, Helsinki Institute of Life Sciences., University of Helsinki, Helsinki, Finland.
M KurkiAnalytic and Translational Genetics Unit, Massachusetts Gen. Hosp., Boston, MA.
N JunnaInstitute for Molecular Med. Finland, Helsinki Institute of Life Sciences., University of Helsinki, Helsinki, Finland.
J GoldsteinStanley Ctr. for Psychiatric Res., Broad Inst. of Harvard and MIT, Cambridge, MA.
M P ReeveInstitute for Molecular Med. Finland, Helsinki Institute of Life Sciences., University of Helsinki, Helsinki, Finland.
H SiirtolaTAUCHI Research Center, Faculty of Information Technology and Communication Sciences (ITC), Tampere University, Tampere, Finland.
S LemmeläInstitute for Molecular Med. Finland, Helsinki Institute of Life Sciences., University of Helsinki, Helsinki, Finland.
P TurleyCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
FinnGen
A PalotieAnalytic and Translational Genetics Unit, Massachusetts Gen. Hosp., Boston, MA.
M DalyAnalytic and Translational Genetics Unit, Massachusetts Gen. Hosp., Boston, MA.
E WidénInstitute for Molecular Med. Finland, Helsinki Institute of Life Sciences., University of Helsinki, Helsinki, Finland.
Broad Institute · USUniversity of Helsinki · FIStatistics Finland · FITampere University · FIUniversity of Southern California · US

Funding

Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
Genome-wide analysis of late-onset Alzheimer's disease using intergenerational, multi-trait, and cross-ancestry dataR00AG062787 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TURLEY, PATRICK ANSEL · 2021 to 2023
$747k
NIA NIH HHS R00 AG062787NIMH NIH HHS R01 MH101244
6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) affects more than 16 million pregnancies annually worldwide and is related to an increased lifetime risk of Type 2 diabetes (T2D). The diseases are hypothesized to share a genetic predisposition, but there are few GWAS studies of GDM and none of them is sufficiently powered to assess whether any variants or biological pathways are specific to GDM. We conducted the largest genome-wide association study of GDM to date in 12,332 cases and 131,109 parous female controls in the FinnGen Study and identified 13 GDM-associated loci including 8 novel loci. Genetic features distinct from T2D were identified both at the locus and genomic scale. Our results suggest that the genetics of GDM risk falls into two distinct categories - one part conventional T2D polygenic risk and one part predominantly influencing mechanisms disrupted in pregnancy. Loci with GDM-predominant effects map to genes related to islet cells, central glucose homeostasis, steroidogenesis, and placental expression. These results pave the way for an improved biological understanding of GDM pathophysiology and its role in the development and course of T2D.

Identifiers

PMID36865330
PMCPMC9980250
OpenAlexW4321606057

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.