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Haljas, K.* ; Amare, A.T.* ; Alizadeh, B.Z.* ; Hsu, Y.H.* ; Mosley, T.* ; Newman, A.* ; Murabito, J.* ; Tiemeier, H.* ; Tanaka, T.* ; van Duijn, C.M.* ; Ding, J.* ; Llewellyn, D.J.* ; Bennett, D.A.* ; Terracciano, A.* ; Launer, L.* ; Ladwig, K.-H. ; Cornelis, M.C.* ; Teumer, A.* ; Grabe, H.J.* ; Kardia, S.L.R.* ; Ware, E.B.* ; Smith, J.A.* ; Snieder, H.* ; Eriksson, J.G.* ; Groop, L.* ; Räikkönen, K.* ; Lahti, J.*

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

Psychosom. Med. 80, 242-251 (2018)
Postprint DOI PMC
Open Access Green
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.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Depression ; Gwas ; Meta-analysis ; Pleiotropy ; Type 2 Diabetes; Polycyclic Aromatic-hydrocarbons; Lung Epithelial-cells; Yangtze-river Delta; 6 European Cities; Ambient Air; Oxidative Stress; Mouse Lung; A549 Cells; Cytotoxic Responses; Seasonal-variation
ISSN (print) / ISBN 0033-3174
e-ISSN 1534-7796
Journal Psychosomatic Medicine
Quellenangaben Volume: 80, Issue: 3, Pages: 242-251 Article Number: , Supplement: ,
Publisher Lippincott Williams & Wilkins
Publishing Place Po Box 211, 1000 Ae Amsterdam, Netherlands
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology II (EPI2)