Deviation from baseline mutation burden provides powerful and robust rare-variants association test for complex diseases
Clara Sze-Man Tang,
Stacey S Cherny,
Pak C Sham,
Posted 04 Jul 2020
bioRxiv DOI: 10.1101/2020.07.04.186619
Posted 04 Jul 2020
The identification of rare variants that contribute to complex diseases is challenging due to low statistical power. Here we propose a novel and powerful rare variants association test based on the deviation of the observed mutational burden in a genomic region from a baseline mutation burden predicted by weighted recursive truncated negative-binomial regression (RUNNER) on genomic features available from public data. Simulation studies show that RUNNER is substantially more powerful than state-of-the-art rare variant association methods (including SKAT, CMC and KBAC), while maintaining correct type 1 error rates under population stratification and in small samples. Applied to real data, RUNNER rediscovered known genes of Hirschsprung disease missed by current methods, and detected promising new candidate genes, including NXPE4 for Hirschsprung disease and CXCL16 for Alzheimer's disease. The proposed approach provides a powerful and robust method to identify rare risk variants for complex diseases. ### Competing Interest Statement The authors have declared no competing interest.
- Downloaded 649 times
- Download rankings, all-time:
- Site-wide: 48,755
- In genetics: 2,131
- Year to date:
- Site-wide: 26,507
- Since beginning of last month:
- Site-wide: 42,622
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!