Unknown

Dataset Information

0

Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance.


ABSTRACT: BACKGROUND:Bipolar disorder is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for bipolar disorder in the expression quantitative trait loci (eQTL) in the brain. AIMS:We sought to assess the impact of eQTL variants on bipolar disorder risk by combining data from both bipolar disorder genome-wide association studies (GWAS) and brain eQTL. METHOD:To detect single nucleotide polymorphisms (SNPs) that influence expression levels of genes associated with bipolar disorder, we jointly analysed data from a bipolar disorder GWAS (7481 cases and 9250 controls) and a genome-wide brain (cortical) eQTL (193 healthy controls) using a Bayesian statistical method, with independent follow-up replications. The identified risk SNP was then further tested for association with hippocampal volume (n = 5775) and cognitive performance (n = 342) among healthy individuals. RESULTS:Integrative analysis revealed a significant association between a brain eQTL rs6088662 on chromosome 20q11.22 and bipolar disorder (log Bayes factor = 5.48; bipolar disorder P = 5.85 × 10(-5)). Follow-up studies across multiple independent samples confirmed the association of the risk SNP (rs6088662) with gene expression and bipolar disorder susceptibility (P = 3.54 × 10(-8)). Further exploratory analysis revealed that rs6088662 is also associated with hippocampal volume and cognitive performance in healthy individuals. CONCLUSIONS:Our findings suggest that 20q11.22 is likely a risk region for bipolar disorder; they also highlight the informative value of integrating functional annotation of genetic variants for gene expression in advancing our understanding of the biological basis underlying complex disorders, such as bipolar disorder.

SUBMITTER: Li M 

PROVIDER: S-EPMC4829352 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance.

Li Ming M   Luo Xiong-jian XJ   Landén Mikael M   Bergen Sarah E SE   Hultman Christina M CM   Li Xiao X   Zhang Wen W   Yao Yong-Gang YG   Zhang Chen C   Liu Jiewei J   Mattheisen Manuel M   Cichon Sven S   Mühleisen Thomas W TW   Degenhardt Franziska A FA   Nöthen Markus M MM   Schulze Thomas G TG   Grigoroiu-Serbanescu Maria M   Li Hao H   Fuller Chris K CK   Chen Chunhui C   Dong Qi Q   Chen Chuansheng C   Jamain Stéphane S   Leboyer Marion M   Bellivier Frank F   Etain Bruno B   Kahn Jean-Pierre JP   Henry Chantal C   Preisig Martin M   Kutalik Zoltán Z   Castelao Enrique E   Wright Adam A   Mitchell Philip B PB   Fullerton Janice M JM   Schofield Peter R PR   Montgomery Grant W GW   Medland Sarah E SE   Gordon Scott D SD   Martin Nicholas G NG   Rietschel Marcella M   Liu Chunyu C   Kleinman Joel E JE   Hyde Thomas M TM   Weinberger Daniel R DR   Su Bing B  

The British journal of psychiatry : the journal of mental science 20150903 2


<h4>Background</h4>Bipolar disorder is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for bipolar disorder in the expression quantitative trait loci (eQTL) in the brain.<h4>Aims</h4>We sought to assess the impact of eQTL variants on bipolar disorder risk by combining data from both bipolar disorder genome-wide association studies (GWAS) and brain eQTL.<h4>Method</h4>To detect single nucleotide polymorphisms (SNPs) that influence exp  ...[more]

Similar Datasets

| S-EPMC1377083 | biostudies-other
2021-07-28 | GSE117877 | GEO
| S-EPMC3197787 | biostudies-literature
| S-EPMC4067321 | biostudies-literature
| S-EPMC3601550 | biostudies-literature
| S-EPMC9974828 | biostudies-literature
| S-EPMC3937299 | biostudies-literature
| S-EPMC3773480 | biostudies-literature
| S-EPMC2700285 | biostudies-literature
| S-EPMC8518600 | biostudies-literature