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

Haljas, Kadri ; Amare, Azmeraw T. ; Alizadeh, Behrooz Z. ; Hsu, Yi Hsiang ; Mosley, Thomas ; Newman, Anne ; Murabito, Joanne ; Tiemeier, Henning ; Tanaka, Toshiko and Van Duijn, Cornelia , et al. (2018) In Psychosomatic Medicine 80(3). p.242-251
Abstract

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... (More)

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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Contribution to journal
publication status
published
subject
keywords
Depression, GWAS, Meta-analysis, Pleiotropy, Type 2 diabetes
in
Psychosomatic Medicine
volume
80
issue
3
pages
10 pages
publisher
Lippincott Williams and Wilkins
external identifiers
  • scopus:85053407353
  • pmid:29280852
ISSN
0033-3174
DOI
10.1097/PSY.0000000000000555
language
English
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yes
id
27f8d4e3-f421-4b06-a0f4-ac2b1f3f7f3d
date added to LUP
2018-10-19 12:31:00
date last changed
2020-01-22 07:16:43
@article{27f8d4e3-f421-4b06-a0f4-ac2b1f3f7f3d,
  abstract     = {<p>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 &lt; 5 10<sup>−8</sup>). 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 &gt; 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.</p>},
  author       = {Haljas, Kadri and Amare, Azmeraw T. and Alizadeh, Behrooz Z. and Hsu, Yi Hsiang and Mosley, Thomas and Newman, Anne and Murabito, Joanne and Tiemeier, Henning and Tanaka, Toshiko and Van Duijn, Cornelia and Ding, Jingzhong and Llewellyn, David J. and Bennett, David A. and Terracciano, Antonio and Launer, Lenore and Ladwig, Karl Heinz and Cornelis, Marylin C. and Teumer, Alexander and Grabe, Hans and Kardia, Sharon L.R. and Ware, Erin B. and Smith, Jennifer A. and Snieder, Harold and Eriksson, Johan G. and Groop, Leif and Räikkönen, Katri and Lahti, Jari},
  issn         = {0033-3174},
  language     = {eng},
  number       = {3},
  pages        = {242--251},
  publisher    = {Lippincott Williams and Wilkins},
  series       = {Psychosomatic Medicine},
  title        = {Bivariate genome-wide association study of depressive symptoms with type 2 diabetes and quantitative glycemic traits},
  url          = {http://dx.doi.org/10.1097/PSY.0000000000000555},
  doi          = {10.1097/PSY.0000000000000555},
  volume       = {80},
  year         = {2018},
}