Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data.
Daniel S. Tylee,
Jonathan L. Hess,
Muhammad A. Tahir,
Bradford B. Worrall,
Andrew J. Levine,
Jeremy J. Martinson,
Brian R. Walker,
Struan F.A. Grant,
Jonathan P. Bradfield,
Patrick M. A. Sleiman,
James T Elder,
Lam C Tsoi,
Richard C. Trembath,
Jonathan N Barker,
The 23andMe Research Team,
The Inflammation Working Group of the CHARGE Consortium, The METASTROKE Consortium of the International Stroke Genetics Consortium, The Netherlands Twin Registry, The neuroCHARGE Working Group, The Eating Disorders Working Groups of the Psychiatric Genomics Consortium, The Obsessive Compulsive Disorder and Tourette Syndrome Working Group,
Stephen V Faraone,
Stephen J Glatt
Posted 21 Aug 2016
bioRxiv DOI: 10.1101/070730
Posted 21 Aug 2016
Individuals with psychiatric disorders have elevated rates of autoimmune comorbidity and altered immune signaling. It is unclear whether these altered immunological states have a shared genetic basis with those psychiatric disorders. The present study sought to use existing summary-level data from previous genome-wide association studies (GWASs) to determine if commonly varying single nucleotide polymorphisms (SNPs) are shared between psychiatric and immune-related phenotypes. We estimated heritability and examined pair-wise genetic correlations using the linkage disequilibrium score regression (LDSC) and heritability estimation from summary statistics (HESS) methods. Using LDSC, we observed significant genetic correlations between immune-related disorders and several psychiatric disorders, including anorexia nervosa, attention deficit-hyperactivity disorder, bipolar disorder, major depression, obsessive compulsive disorder, schizophrenia, smoking behavior, and Tourette syndrome. Loci significantly mediating genetic correlations were identified for schizophrenia when analytically paired with Crohns disease, primary biliary cirrhosis, systemic lupus erythematosus, and ulcerative colitis. We report significantly correlated loci and highlight those containing genome-wide associations and candidate genes for respective disorders. We also used the LDSC method to characterize genetic correlations amongst the immune-related phenotypes. We discuss our findings in the context of relevant genetic and epidemiological literature, as well as the limitations and caveats of the study.
- Downloaded 2,973 times
- Download rankings, all-time:
- Site-wide: 4,143
- In bioinformatics: 429
- Year to date:
- Site-wide: 29,085
- Since beginning of last month:
- Site-wide: 37,528
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!