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Published on: August 15, 2019
Do Molecular Markers Inform About Pleiotropy?
Daniel Gianola1, Gustavo de los Campos2, Miguel A Toro3
1Departments of Animal Sciences, Dairy Science, and Biostatistics and Medical Informatics, University of Wisconsin-Madison, Wisconsin 53706 Department of Plant Breeding, Technical University of Munich, Center for Life and Food Sciences, D-85354 Freising-Weihenstephan, Germany Institute of Advanced Study, Technical University of Munich, D-85748 Garching, Germany gianola@ansci.wisc.edu.
Abstract:
The availability of dense panels of common single-nucleotide polymorphisms and sequence variants has facilitated the study of statistical features of the genetic architecture of complex traits and diseases via whole-genome regressions (WGRs). At the onset, traits were analyzed trait by trait, but recently, WGRs have been extended for analysis of several traits jointly. The expectation is that such an approach would offer insight into mechanisms that cause trait associations, such as pleiotropy. We demonstrate that correlation parameters inferred using markers can give a distorted picture of the genetic correlation between traits. In the absence of knowledge of linkage disequilibrium relationships between quantitative or disease trait loci and markers, speculating about genetic correlation and its causes (e.g., pleiotropy) using genomic data is conjectural.
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