TY - JOUR
T1 - Common variants at 2q11.2, 8q21.3, and 11q13.2 are associated with major mood disorders
AU - Xiao, Xiao
AU - Wang, Lu
AU - Wang, Chuang
AU - Yuan, Ti Fei
AU - Zhou, Dongsheng
AU - Zheng, Fanfan
AU - Li, Lingyi
AU - Grigoroiu-Serbanescu, Maria
AU - Ikeda, Masashi
AU - Iwata, Nakao
AU - Takahashi, Atsushi
AU - Kamatani, Yoichiro
AU - Kubo, Michiaki
AU - Preisig, Martin
AU - Kutalik, Zoltán
AU - Castelao, Enrique
AU - Pistis, Giorgio
AU - Amin, Najaf
AU - Van Duijn, Cornelia M.
AU - Forstner, Andreas J.
AU - Strohmaier, Jana
AU - Hecker, Julian
AU - Schulze, Thomas G.
AU - Müller-Myhsok, Bertram
AU - Reif, Andreas
AU - Mitchell, Philip B.
AU - Martin, Nicholas G.
AU - Schofield, Peter R.
AU - Cichon, Sven
AU - Nöthen, Markus M.
AU - Chang, Hong
AU - Luo, Xiong Jian
AU - Fang, Yiru
AU - Yao, Yong Gang
AU - Zhang, Chen
AU - Rietschel, Marcella
AU - Li, Ming
N1 - Funding Information:
RI908/11-1 to M.R., NO246/10-1 to M.M.N.). The Romanian sample recruitment and genotyping was funded by UEFISCDI, Bucharest, Romania, grant no. 89/ 2012 to M.G.S. and by the German Federal Ministry of Education and Research (BMBF) through the Integrated Network IntegraMent (grant 01ZX1314A to M. M.N. and S.C.). The Australian cohorts were supported by the Australian National Health and Medical Research Council Program Grant GNT1037196. The ERF study as a part of EUROSPAN (European Special Populations Research Network) was supported by European Commission FP6 STRP grant number 018947 (LSHG-CT-2006-01947) and also received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013)/grant agreement HEALTH-F4-2007-201413 by the European Commission under the programme “Quality of Life and Management of the Living Resources” of 5th Framework Programme (no. QLG2-CT-2002-01254). High-throughput analysis of the ERF data was supported by joint grant from Netherlands Organization for Scientific Research and the Russian Foundation for Basic Research (NWO-RFBR 047.017.043). Exome sequencing was supported by the ZonMw grant (project 91111025). We are grateful to all study participants and their relatives, general practitioners, and neurologists for their contributions and to P. Veraart for her help in genealogy, J. Vergeer for the supervision of the laboratory work and P. Snijders for his help in data collection. N.A. is supported by the Hersenstichting Nederland (project number F2013(1)-28). The data in GAIN-AA sample used for the analyses described in this manuscript were obtained from dbGaP accession number phs000021.v3.p2. We are grateful to all the voluntary donors of DNA samples in this study. We thank members of the Psychiatric Genomic Consortium, who shared the PGC GWAS data.
Funding Information:
This work was supported by grants from the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB13000000), and CAS Pioneer Hundred Talents Program (to M.L.). This work was also supported by the German Federal Ministry of Education and Research (BMBF) through the Integrated Network IntegraMent (Integrated Understanding of Causes and Mechanisms in Mental Disorders), under the auspices of the e:Med Programme (grant 01ZX1314A to S.C. and M.M.N., grant 01ZX1314G to M.R.). M.M.N. is a member of the DFG-funded Excellence-Cluster ImmunoSensation. The study was also supported by the German Research Foundation (DFG; grant FOR2107,
Publisher Copyright:
© 2017 The Author(s).
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Bipolar disorder (BPD) and major depressive disorder (MDD) are primary major mood disorders. Recent studies suggest that they share certain psychopathological features and common risk genes, but unraveling the full genetic architecture underlying the risk of major mood disorders remains an important scientific task. The public genome-wide association study (GWAS) data sets offer the opportunity to examine this topic by utilizing large amounts of combined genetic data, which should ultimately allow a better understanding of the onset and development of these illnesses. Genome-wide meta-analysis was performed by combining two GWAS data sets on BPD and MDD (19,637 cases and 18,083 controls), followed by replication analyses for the loci of interest in independent 12,364 cases and 76,633 controls from additional samples that were not included in the two GWAS data sets. The single-nucleotide polymorphism (SNP) rs10791889 at 11q13.2 was significant in both discovery and replication samples. When combining all samples, this SNP and multiple other SNPs at 2q11.2 (rs717454), 8q21.3 (rs10103191), and 11q13.2 (rs2167457) exhibited genome-wide significant association with major mood disorders. The SNPs in 2q11.2 and 8q21.3 were novel risk SNPs that were not previously reported, and SNPs at 11q13.2 were in high LD with potential BPD risk SNPs implicated in a previous GWAS. The genome-wide significant loci at 2q11.2 and 11q13.2 exhibited strong effects on the mRNA expression of certain nearby genes in cerebellum. In conclusion, we have identified several novel loci associated with major mood disorders, adding further support for shared genetic risk between BPD and MDD. Our study highlights the necessity and importance of mining public data sets to explore risk genes for complex diseases such as mood disorders.
AB - Bipolar disorder (BPD) and major depressive disorder (MDD) are primary major mood disorders. Recent studies suggest that they share certain psychopathological features and common risk genes, but unraveling the full genetic architecture underlying the risk of major mood disorders remains an important scientific task. The public genome-wide association study (GWAS) data sets offer the opportunity to examine this topic by utilizing large amounts of combined genetic data, which should ultimately allow a better understanding of the onset and development of these illnesses. Genome-wide meta-analysis was performed by combining two GWAS data sets on BPD and MDD (19,637 cases and 18,083 controls), followed by replication analyses for the loci of interest in independent 12,364 cases and 76,633 controls from additional samples that were not included in the two GWAS data sets. The single-nucleotide polymorphism (SNP) rs10791889 at 11q13.2 was significant in both discovery and replication samples. When combining all samples, this SNP and multiple other SNPs at 2q11.2 (rs717454), 8q21.3 (rs10103191), and 11q13.2 (rs2167457) exhibited genome-wide significant association with major mood disorders. The SNPs in 2q11.2 and 8q21.3 were novel risk SNPs that were not previously reported, and SNPs at 11q13.2 were in high LD with potential BPD risk SNPs implicated in a previous GWAS. The genome-wide significant loci at 2q11.2 and 11q13.2 exhibited strong effects on the mRNA expression of certain nearby genes in cerebellum. In conclusion, we have identified several novel loci associated with major mood disorders, adding further support for shared genetic risk between BPD and MDD. Our study highlights the necessity and importance of mining public data sets to explore risk genes for complex diseases such as mood disorders.
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U2 - 10.1038/s41398-017-0019-0
DO - 10.1038/s41398-017-0019-0
M3 - Article
C2 - 29225345
AN - SCOPUS:85037737927
SN - 2158-3188
VL - 7
JO - Translational psychiatry
JF - Translational psychiatry
IS - 12
M1 - 1273
ER -