ARIEL and AMELIA: Testing for an Accumulation of Rare Variants Using Next-Generation Sequencing Data
Author(s) -
Jennifer L. Asimit,
Aaron G. DayWilliams,
Andrew P. Morris,
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 - 10.1159/000336982
Subject(s) - locus (genetics) , genetics , allele , allele frequency , genetic association , weighting , biology , single nucleotide polymorphism , computational biology , computer science , gene , genotype , medicine , radiology
There is increasing evidence that rare variants play a role in some complex traits, but their analysis is not straightforward. Locus-based tests become necessary due to low power in rare variant single-point association analyses. In addition, variant quality scores are available for sequencing data, but are rarely taken into account. Here, we propose two locus-based methods that incorporate variant quality scores: a regression-based collapsing approach and an allele-matching method.
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