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Bispebjerg Hospital - en del af Københavns Universitetshospital
Udgivet

Recessive Genome-wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes

Publikation: Bidrag til tidsskriftTidsskriftartikelpeer review

DOI

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  • Mark J O'Connor
  • Philip Schroeder
  • Alicia Huerta-Chagoya
  • Paula Cortés-Sánchez
  • Silvía Bonàs-Guarch
  • Marta Guindo-Martínez
  • Joanne B Cole
  • Varinderpal Kaur
  • David Torrents
  • Kumar Veerapen
  • Niels Grarup
  • Mitja Kurki
  • Carsten F Rundsten
  • Oluf Pedersen
  • Ivan Brandslund
  • Allan Linneberg
  • Torben Hansen
  • Aaron Leong
  • Jose C Florez
  • Josep M Mercader
Vis graf over relationer

Most genome-wide association studies (GWAS) of complex traits are performed using models with additive allelic effects. Hundreds of loci associated with type 2 diabetes have been identified using this approach. Additive models, however, can miss loci with recessive effects, thereby leaving potentially important genes undiscovered. We conducted the largest GWAS meta-analysis using a recessive model for type 2 diabetes. Our discovery sample included 33,139 case subjects and 279,507 control subjects from 7 European-ancestry cohorts, including the UK Biobank. We identified 51 loci associated with type 2 diabetes, including five variants undetected by prior additive analyses. Two of the five variants had minor allele frequency of <5% and were each associated with more than a doubled risk in homozygous carriers. Using two additional cohorts, FinnGen and a Danish cohort, we replicated three of the variants, including one of the low-frequency variants, rs115018790, which had an odds ratio in homozygous carriers of 2.56 (95% CI 2.05-3.19; P = 1 × 10-16) and a stronger effect in men than in women (for interaction, P = 7 × 10-7). The signal was associated with multiple diabetes-related traits, with homozygous carriers showing a 10% decrease in LDL cholesterol and a 20% increase in triglycerides; colocalization analysis linked this signal to reduced expression of the nearby PELO gene. These results demonstrate that recessive models, when compared with GWAS using the additive approach, can identify novel loci, including large-effect variants with pathophysiological consequences relevant to type 2 diabetes.

OriginalsprogEngelsk
TidsskriftDiabetes
Vol/bind71
Udgave nummer3
Sider (fra-til)554-565
Antal sider12
ISSN0012-1797
DOI
StatusUdgivet - 1 mar. 2022

Bibliografisk note

© 2021 by the American Diabetes Association.

ID: 72503372