Brief. Bioinformatics - An efficient approach to large-scale genotype-phenotype association analyses.

Tópicos

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Resumo

Modern molecular biotechnology generates a great deal of intermediate information, such as transcriptional and metabolic products in bridging DNA and complex traits. In genome-wide linkage analysis and genome-wide association study, regression analysis for large-scale correlated phenotypes is applied to map genes for those by-products that are regarded as quantitative traits. For a single trait, least absolute shrinkage and selection operator with coordinate descent step can be employed to efficiently shrink sparse non-zero genetic effects of quantitative trait loci (QTLs). However, regression analyses in a trait-by-trait basis do not take account of the correlations among the analyzed traits. In this study, conditional phenotype of each trait is defined, given other traits. Large-scale genotype-phenotype association analyses are therefore transformed to separate genotype-conditional phenotype ones. Meanwhile, the correlation architecture between each trait and other traits can also be provided by shrinkage estimation for each conditional phenotype. Simulation demonstrates that the proposed conditional mapping method is generally identical to joint mapping method based on multivariate analysis in terms of statistical detection power and parameter estimation. Application of the method is provided to locate eQTL in yeast.

Resumo Limpo

modern molecular biotechnolog generat great deal intermedi inform transcript metabol product bridg dna complex trait genomewid linkag analysi genomewid associ studi regress analysi largescal correl phenotyp appli map gene byproduct regard quantit trait singl trait least absolut shrinkag select oper coordin descent step can employ effici shrink spars nonzero genet effect quantit trait loci qtls howev regress analys traitbytrait basi take account correl among analyz trait studi condit phenotyp trait defin given trait largescal genotypephenotyp associ analys therefor transform separ genotypecondit phenotyp one meanwhil correl architectur trait trait can also provid shrinkag estim condit phenotyp simul demonstr propos condit map method general ident joint map method base multivari analysi term statist detect power paramet estim applic method provid locat eqtl yeast

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