Model Selection Emphasises the Importance of Non-Chromosomal Information in Genetic Studies
Author(s) -
Reda Rawi,
Mohamed El Anbari,
Halima Bensmail
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0117014
Subject(s) - missing heritability problem , heritability , biology , selection (genetic algorithm) , genetics , trait , evolutionary biology , lasso (programming language) , chromosomal polymorphism , computational biology , gene , chromosome , computer science , genotype , genetic variants , karyotype , machine learning , world wide web , programming language
Ever since the case of the missing heritability was highlighted some years ago, scientists have been investigating various possible explanations for the issue. However, none of these explanations include non-chromosomal genetic information. Here we describe explicitly how chromosomal and non-chromosomal modifiers collectively influence the heritability of a trait, in this case, the growth rate of yeast. Our results show that the non-chromosomal contribution can be large, adding another dimension to the estimation of heritability. We also discovered, combining the strength of LASSO with model selection, that the interaction of chromosomal and non-chromosomal information is essential in describing phenotypes.
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