Association Analysis and Meta-Analysis of Multi-Allelic Variants for Large-Scale Sequence Data

Association Analysis and Meta-Analysis of Multi-Allelic Variants for Large-Scale Sequence Data

There is great interest in understanding the impact of rare variants in human diseases using large sequence datasets. In deep sequence datasets of >10,000 samples, ~10% of the variant sites are observed to be multi-allelic. Many of the multi-allelic variants have been shown to be functional and d...

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Bibliographic Details
Main Authors: Yu Jiang, Sai Chen, Xingyan Wang, Mengzhen Liu, William G. Iacono, John K. Hewitt, John E. Hokanson, Kenneth Krauter, Markku Laakso, Kevin W. Li, Sharon M. Lutz, Matthew McGue, Anita Pandit, Gregory J.M. Zajac, Michael Boehnke, Goncalo R. Abecasis, Scott I. Vrieze, Bibo Jiang, Xiaowei Zhan, Dajiang J. Liu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Genes
Subjects:
multi-allelic variants
GWAS
meta-analysis
smoking
Online Access:https://www.mdpi.com/2073-4425/11/5/586

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https://www.mdpi.com/2073-4425/11/5/586

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