Imputation of Rare Variants in Next-Generation Association Studies
Author(s) -
Jennifer L. Asimit,
Eleftheria Zeggini
Publication year - 2012
Publication title -
human heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000345602
Subject(s) - imputation (statistics) , genome wide association study , genetic association , missing data , biology , computational biology , genetic variants , population , genotype , genetics , computer science , single nucleotide polymorphism , medicine , gene , machine learning , environmental health
The role of rare variants has become a focus in the search for association with complex traits. Imputation is a powerful and cost-efficient tool to access variants that have not been directly typed, but there are several challenges when imputing rare variants, most notably reference panel selection. Extensions to rare variant association tests to incorporate genotype uncertainty from imputation are discussed, as well as the use of imputed low-frequency and rare variants in the study of population isolates.
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