Genetic Epidemiology, Psychiatric Genetics, Asthma Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
29225345
TITLE
Common variants at 2q11.2, 8q21.3, and 11q13.2 are associated with major mood disorders.
ABSTRACT
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.
DATE PUBLISHED
2017 Dec 11
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2017/07/24
accepted 2017/07/30
entrez 2017/12/12 06:00
pubmed 2017/12/12 06:00
medline 2017/12/12 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Xiao X Xiao Xiao X Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China.
Wang L Wang Lu L Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China.
Wang C Wang Chuang C Department of Pharmacology, Provincial Key Laboratory of Pathophysiology, Ningbo University School of Medicine, Ningbo, Zhejiang, China.
Yuan TF Yuan Ti-Fei TF Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhou D Zhou Dongsheng D Ningbo Kangning Hospital, Ningbo, Zhejiang, China.
Zheng F Zheng Fanfan F Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Li L Li Lingyi L Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China.
Grigoroiu-Serbanescu M Grigoroiu-Serbanescu Maria M Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania.
Ikeda M Ikeda Masashi M Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Iwata N Iwata Nakao N Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Takahashi A Takahashi Atsushi A Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan.
Kamatani Y Kamatani Yoichiro Y Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kubo M Kubo Michiaki M RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Preisig M Preisig Martin M Department of Psychiatry, Centre Hospitalier Universitaire Vaudois, Prilly, Switzerland.
Kutalik Z Kutalik Zoltán Z Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Castelao E Castelao Enrique E Department of Psychiatry, Centre Hospitalier Universitaire Vaudois, Prilly, Switzerland.
Pistis G Pistis Giorgio G Department of Psychiatry, Centre Hospitalier Universitaire Vaudois, Prilly, Switzerland.
Amin N Amin Najaf N Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
van Duijn CM van Duijn Cornelia M CM Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Forstner AJ Forstner Andreas J AJ Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.
Strohmaier J Strohmaier Jana J Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Hecker J Hecker Julian J Institute of Genomic Mathematics, University of Bonn, Bonn, Germany.
Schulze TG Schulze Thomas G TG Institute of Psychiatric Phenomics and Genomics, Ludwig-Maximilians-University Munich, Munich, Germany.
Müller-Myhsok B Müller-Myhsok Bertram B University of Liverpool, Institute of Translational Medicine, Liverpool, UK.
Reif A Reif Andreas A Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany.
Mitchell PB Mitchell Philip B PB Black Dog Institute, Sydney, NSW, Australia.
Martin NG Martin Nicholas G NG QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Schofield PR Schofield Peter R PR School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.
Cichon S Cichon Sven S Institute of Neuroscience and Medicine (INM-1), Structural and Functional Organization of the Brain, Genomic Imaging, Research Centre Jülich, Jülich, Germany.
Nöthen MM Nöthen Markus M MM Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany.
Chang H Chang Hong H Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China.
Luo XJ Luo Xiong-Jian XJ Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China.
Fang Y Fang Yiru Y Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yao YG Yao Yong-Gang YG CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Zhang C Zhang Chen C Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rietschel M Rietschel Marcella M Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Li M Li Ming M CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. limingkiz@mail.kiz.ac.cn.
Advanced Collaborative Study of Mood Disorder (COSMO) Team, MooDS Bipolar Consortium
INVESTIGATORS
JOURNAL
VOLUME: 7
ISSUE: 12
TITLE: Translational psychiatry
ISOABBREVIATION: Transl Psychiatry
YEAR: 2017
MONTH: Dec
DAY: 11
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 2158-3188
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Transl Psychiatry
COUNTRY: United States
ISSNLINKING: 2158-3188
NLMUNIQUEID: 101562664
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
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