4 Result(s)
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Article
Open AccessFalse-positive rates in two-point parametric linkage analysis
Two-point linkage analyses of whole genome sequence data are a promising approach to identify rare variants that segregate with complex diseases in large pedigrees because, in theory, the causal variants have ...
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Article
Open AccessComparison of results from tests of association in unrelated individuals with uncollapsed and collapsed sequence variants using tiled regression
Tiled regression is an approach designed to determine the set of independent genetic variants that contribute to the variation of a quantitative trait in the presence of many highly correlated variants. In thi...
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Article
Open AccessPerformance of random forests and logic regression methods using mini-exome sequence data
Machine learning approaches are an attractive option for analyzing large-scale data to detect genetic variants that contribute to variation of a quantitative trait, without requiring specific distributional as...
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Article
Open AccessOld lessons learned anew: family-based methods for detecting genes responsible for quantitative and qualitative traits in the Genetic Analysis Workshop 17 mini-exome sequence data
Family-based study designs are again becoming popular as new next-generation sequencing technologies make whole-exome and whole-genome sequencing projects economically and temporally feasible. Here we evaluate...
