Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture

Goddard, M. E., Kemper, K. E., MacLeod, I. M., Chamberlain, A. J. and Hayes, B. J. (2016) Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture. Proceedings of the Royal Society B: Biological Sciences, 283 1835: . doi:10.1098/rspb.2016.0569


Author Goddard, M. E.
Kemper, K. E.
MacLeod, I. M.
Chamberlain, A. J.
Hayes, B. J.
Title Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture
Journal name Proceedings of the Royal Society B: Biological Sciences   Check publisher's open access policy
ISSN 1471-2954
0962-8452
Publication date 2016-07-27
Year available 2016
Sub-type Article (original research)
DOI 10.1098/rspb.2016.0569
Open Access Status Not Open Access
Volume 283
Issue 1835
Total pages 9
Place of publication London, United Kingdom
Publisher Royal Society of London
Collection year 2017
Language eng
Abstract Complex or quantitative traits are important in medicine, agriculture and evolution, yet, until recently, few of the polymorphisms that cause variation in these traits were known. Genome-wide association studies (GWAS), based on the ability to assay thousands of single nucleotide polymorphisms (SNPs), have revolutionized our understanding of the genetics of complex traits. We advocate the analysis of GWAS data by a statistical method that fits all SNP effects simultaneously, assuming that these effects are drawn from a prior distribution.We illustrate how this method can be used to predict future phenotypes, to map and identify the causal mutations, and to study the genetic architecture of complex traits. The genetic architecture of complex traits is even more complex than previously thought: in almost every trait studied there are thousands of polymorphisms that explain genetic variation. Methods of predicting future phenotypes, collectively known as genomic selection or genomic prediction, have been widely adopted in livestock and crop breeding, leading to increased rates of genetic improvement.
Keyword Complex traits
Genome-wide association studies
Genomic selection
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Alliance for Agriculture and Food Innovation
Institute for Molecular Bioscience - Publications
 
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