Development and application of statistical algorithms for the detection of additive and interacting loci underlying quantitative traits

Jonas R. Klasen · 2015

Summary

The quantitative trait cluster association test (QTCAT) was developed, which allows the joint association of all available single-nucleotide polymorphisms (SNPs) to the phenotype and is able to improve association testing compared to other methods.

Published: 2015-01-22
Cited by: 1
References: 128
Semantic Scholar: https://api.semanticscholar.org/CorpusID:86875157

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Genotyping by sequencing from sparse sequenced genomes representations from bi- and multi- parental mapping population using a HMM approachVipul Patel — 2016

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