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

التفاصيل البيبلوغرافية
العنوان: Recessive Genome-wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes
المؤلفون: Mark J. O’Connor (512930), Philip Schroeder (11771828), Alicia Huerta-Chagoya (739312), Paula Cortés-Sánchez (11771834), Silvía Bonàs-Guarch (11771840), Marta Guindo-Martínez (11771842), Joanne B. Cole (3080733), Varinderpal Kaur (713069), David Torrents (17960), Kumar Veerapen (11771843), Niels Grarup (154019), Mitja Kurki (177228), Carsten F. Rundsten (11771847), Oluf Pedersen (140525), Ivan Brandslund (54529), Allan Linneberg (139773), Torben Hansen (140523), Aaron Leong (430710), Jose C. Florez (8811083), Josep M. Mercader (7439093)
سنة النشر: 2021
المجموعة: Smithsonian Institution: Digital Repository
مصطلحات موضوعية: Biological Sciences not elsewhere classified, Genomics, Genome Association, Genetics, Genetic Susceptibility, Genetic Risk Factors, Genetic Research, Genetic Predisposition, Genetic Association, Genetic Analysis, Genomic Variation, Gene Expression, LDL Cholesterol, Triglycerides
الوصف: 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 cases and 279,507 controls from seven 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 had minor allele frequency less than 5% and were each associated with more than 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 (interaction P =7´10 -7 ). The signal was associated with multiple diabetes-related traits, with homozygous carriers showing a 10% decrease in LDL and a 20% increase in triglycerides, and colocalization analysis linked this signal to reduced expression of the nearby PELO gene. These results demonstrate that recessive models, when compared to GWAS using the additive approach, can identify novel loci, including large-effect variants with pathophysiological consequences relevant to type 2 diabetes.
نوع الوثيقة: still image
اللغة: unknown
Relation: https://figshare.com/articles/figure/Recessive_Genome-wide_Meta-analysis_Illuminates_Genetic_Architecture_of_Type_2_Diabetes/17099780
DOI: 10.2337/figshare.17099780.v1
الاتاحة: https://doi.org/10.2337/figshare.17099780.v1
Rights: CC BY-NC-SA 4.0
رقم الانضمام: edsbas.D4390DBE
قاعدة البيانات: BASE
الوصف
DOI:10.2337/figshare.17099780.v1