Genome-wide association analysis of insomnia using data from Partners Biobank

被引：0

作者：

Wenyu Song

John Torous

Joe Kossowsky

Chia-Yen Chen

Hailiang Huang

Adam Wright

机构：

[1] Harvard Medical School,Departmet of Medicine, Brigham and Women’s Hospital

[2] Harvard Medical School,Department of Biomedical Informatics

[3] Beth Israel Deaconess Medical Center,Department of Psychiatry

[4] Harvard Medical School,Department of Anesthesiology, Critical Care & Pain Medicine, Boston Children’s Hospital

[5] Harvard Medical School,Division of Clinical Psychology and Psychotherapy

[6] University of Basel,Psychiatric and Neurodevelopmental Genetics Unit, Analytic and Translational Genetics Unit, Massachusetts General Hospital

[7] Harvard Medical School,Stanley Center for Psychiatric Research

[8] Broad Institute of MIT and Harvard,Department of Biomedical Informatics

[9] Vanderbilt University Medical Center,undefined

[10] Partners eCare,undefined

[11] Partners HealthCare,undefined

来源：

Scientific Reports | / 10卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Insomnia is one of the most prevalent and burdensome mental disorders worldwide, affecting between 10–20% of adults and up to 48% of the geriatric population. It is further associated with substance usage and dependence, as well other psychiatric disorders. In this study, we combined electronic health record (EHR) derived phenotypes and genotype information to conduct a genome wide analysis of insomnia in a 18,055 patient cohort. Diagnostic codes were used to identify 3,135 patients with insomnia. Our genome-wide association study (GWAS) identified one novel genomic risk locus on chromosome 8 (lead SNP rs17052966, p = 4.53 × 10−9, odds ratio = 1.28, se = 0.04). The heritability analysis indicated that common SNPs accounts for 7% (se = 0.02, p = 0.015) of phenotypic variation. We further conducted a large-scale meta-analysis of our results and summary statistics of two recent insomnia GWAS and 13 significant loci were identified. The genetic correlation analysis yielded a strong positive genetic correlation between insomnia and alcohol use (rG = 0.56, se = 0.14, p < 0.001), nicotine use (rG = 0.50, se = 0.12, p < 0.001) and opioid use (rG = 0.43, se = 0.18, p = 0.02) disorders, suggesting a significant common genetic risk factors between insomnia and substance use.

引用