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Leif Groop

Leif Groop

Principal investigator

Leif Groop

Bivariate genome-wide association study of depressive symptoms with type 2 diabetes and quantitative glycemic traits

Author

  • Kadri Haljas
  • Azmeraw T. Amare
  • Behrooz Z. Alizadeh
  • Yi Hsiang Hsu
  • Thomas Mosley
  • Anne Newman
  • Joanne Murabito
  • Henning Tiemeier
  • Toshiko Tanaka
  • Cornelia Van Duijn
  • Jingzhong Ding
  • David J. Llewellyn
  • David A. Bennett
  • Antonio Terracciano
  • Lenore Launer
  • Karl Heinz Ladwig
  • Marylin C. Cornelis
  • Alexander Teumer
  • Hans Grabe
  • Sharon L.R. Kardia
  • Erin B. Ware
  • Jennifer A. Smith
  • Harold Snieder
  • Johan G. Eriksson
  • Leif Groop
  • Katri Räikkönen
  • Jari Lahti

Summary, in English

Objective: Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits. Methods: We estimated single-nucleotide polymorphism (SNP)-based heritability and analyzed genetic correlation between depressive symptoms and T2D and glycemic traits with the linkage disequilibrium score regression by combining summary statistics of previously conducted meta-analyses for depressive symptoms by CHARGE consortium (N = 51,258), T2D by DIAGRAM consortium (N = 34,840 patients and 114,981 controls), fasting glucose, fasting insulin, and homeostatic model assessment of β-cell function and insulin resistance by MAGIC consortium (N = 58,074). Finally, we investigated pleiotropic loci using a bivariate genome-wide association study approach with summary statistics from genome-wide association study meta-analyses and reported loci with genome-wide significant bivariate association p value (p < 5 10−8). Biological annotation and function of significant pleiotropic SNPs were assessed in several databases. Results: The SNP-based heritability ranged from 0.04 to 0.10 in each individual trait. In the linkage disequilibrium score regression analyses, depressive symptoms showed no significant genetic correlation with T2D or glycemic traits (p > 0.37). However, we identified pleiotropic genetic variations for depressive symptoms and T2D (in the IGF2BP2, CDKAL1, CDKN2B-AS, and PLEKHA1 genes), and fasting glucose (in the MADD, CDKN2B-AS, PEX16, and MTNR1B genes). Conclusions: We found no significant overall genetic correlations between depressive symptoms, T2D, or glycemic traits suggesting major differences in underlying biology of these traits. However, several potential pleiotropic loci were identified between depressive symptoms, T2D, and fasting glucose, suggesting that previously established phenotypic associations may be partly explained by genetic variation in these specific loci.

Department/s

  • Genomics, Diabetes and Endocrinology
  • EXODIAB: Excellence of Diabetes Research in Sweden

Publishing year

2018

Language

English

Pages

242-251

Publication/Series

Psychosomatic Medicine

Volume

80

Issue

3

Document type

Journal article

Publisher

Lippincott Williams & Wilkins

Topic

  • Endocrinology and Diabetes

Keywords

  • Depression
  • GWAS
  • Meta-analysis
  • Pleiotropy
  • Type 2 diabetes

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Other

  • ISSN: 0033-3174