From association to prediction: statistical methods for the dissection and selection of complex traits in plants

Current Opinion in Plant Biology
Alexander E LipkaMichael A Gore

Abstract

Quantification of genotype-to-phenotype associations is central to many scientific investigations, yet the ability to obtain consistent results may be thwarted without appropriate statistical analyses. Models for association can consider confounding effects in the materials and complex genetic interactions. Selecting optimal models enables accurate evaluation of associations between marker loci and numerous phenotypes including gene expression. Significant improvements in QTL discovery via association mapping and acceleration of breeding cycles through genomic selection are two successful applications of models using genome-wide markers. Given recent advances in genotyping and phenotyping technologies, further refinement of these approaches is needed to model genetic architecture more accurately and run analyses in a computationally efficient manner, all while accounting for false positives and maximizing statistical power.

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Citations

Sep 7, 2016·The New Phytologist·Annette M FahrenkrogMatias Kirst
Jan 1, 2017·Molecular Plant·Yingjie XiaoJianbing Yan
Feb 23, 2017·Annual Review of Plant Biology·Christos BazakosOlivier Loudet
Feb 29, 2020·International Journal of Molecular Sciences·Samuel LanFrank M You
Aug 16, 2016·G3 : Genes - Genomes - Genetics·Daniel GianolaChris-Carolin Schön
Jan 29, 2019·Frontiers in Plant Science·Chengguang DongTianzhen Zhang
Jan 30, 2019·Frontiers in Plant Science·Liqiang HeFrank M You
Oct 19, 2019·BMC Plant Biology·José Cruz Jiménez-GalindoBernardo Ordás
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Jul 1, 2020·Frontiers in Plant Science·Javier HernandezPatrick Hayes
Jan 19, 2019·International Journal of Molecular Sciences·Liqiang HeFrank M You
Aug 17, 2019·Frontiers in Genetics·Marcus O OlatoyePeter O Aikpokpodion
Jan 15, 2021·The Plant Genome·Laura Tibbs CortesJianming Yu
Feb 22, 2021·Genomics·Gopalareddy KrishnappaGyanendra Pratap Singh
Dec 24, 2018·Trends in Plant Science·Khanh Le NguyenPascal Gantet

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