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Summary of Results and Discussions From the Gene‐Based Tests Group at Genetic Analysis Workshop 18
Author(s) -
Cordell Heather J.
Publication year - 2014
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.21824
Subject(s) - set (abstract data type) , genetic analysis , group (periodic table) , computational biology , genetics , biology , gene , computer science , chemistry , organic chemistry , programming language
I present a summary of the results and discussions held within the working group on gene‐based tests at Genetic Analysis Workshop 18 (GAW18). The main focus of interest in our working group was modeling the action of combinations or “groups” of genetic variants, with a group of variants most often defined as a set of single‐nucleotide polymorphisms lying within a known gene. Some contributions investigated the performance of previously proposed methods (particularly rare variant collapsing or burden‐type methods) for addressing this question, applied to the GAW18 data, and other contributions developed novel approaches and addressed novel questions. Most approaches were successful in detecting significant effects at MAP4 in the simulated data. No other genetic effects were consistently detected across different analyses. Low power was noted, particularly for those methods that restricted analysis to purely the subset of unrelated individuals.