An Atlas of Genetic Correlations across Human Diseases and Traits
Hilary K. Finucane,
Felix R. Day,
Psychiatric Genomics Consortium,
Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3,
John R B Perry,
Elise B Robinson,
Mark J. Daly,
Alkes L. Price,
Benjamin M Neale
Posted 27 Jan 2015
bioRxiv DOI: 10.1101/014498 (published DOI: 10.1038/ng.3406)
Posted 27 Jan 2015
Identifying genetic correlations between complex traits and diseases can provide useful etiological insights and help prioritize likely causal relationships. The major challenges preventing estimation of genetic correlation from genome-wide association study (GWAS) data with current methods are the lack of availability of individual genotype data and widespread sample overlap among meta-analyses. We circumvent these difficulties by introducing a technique for estimating genetic correlation that requires only GWAS summary statistics and is not biased by sample overlap. We use our method to estimate 300 genetic correlations among 25 traits, totaling more than 1.5 million unique phenotype measurements. Our results include genetic correlations between anorexia nervosa and schizophrenia/ body mass index and associations between educational attainment and several diseases. These results highlight the power of a polygenic modeling framework, since there currently are no genome-wide significant SNPs for anorexia nervosa and only three for educational attainment.
- Downloaded 13,814 times
- Download rankings, all-time:
- Site-wide: 125 out of 84,134
- In genomics: 22 out of 5,430
- Year to date:
- Site-wide: 1,446 out of 84,134
- Since beginning of last month:
- Site-wide: 916 out of 84,134
Downloads over time
Distribution of downloads per paper, site-wide
- 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!