Literature DB >> 34344180

The utility of genomic prediction models in evolutionary genetics.

Suzanne E McGaugh1, Aaron J Lorenz2, Lex E Flagel3,4.   

Abstract

Variation in complex traits is the result of contributions from many loci of small effect. Based on this principle, genomic prediction methods are used to make predictions of breeding value for an individual using genome-wide molecular markers. In breeding, genomic prediction models have been used in plant and animal breeding for almost two decades to increase rates of genetic improvement and reduce the length of artificial selection experiments. However, evolutionary genomics studies have been slow to incorporate this technique to select individuals for breeding in a conservation context or to learn more about the genetic architecture of traits, the genetic value of missing individuals or microevolution of breeding values. Here, we outline the utility of genomic prediction and provide an overview of the methodology. We highlight opportunities to apply genomic prediction in evolutionary genetics of wild populations and the best practices when using these methods on field-collected phenotypes.

Entities:  

Keywords:  BLUP; breeding value; quantitative genetics

Mesh:

Year:  2021        PMID: 34344180      PMCID: PMC8334854          DOI: 10.1098/rspb.2021.0693

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.530


  74 in total

1.  The impact of genetic architecture on genome-wide evaluation methods.

Authors:  Hans D Daetwyler; Ricardo Pong-Wong; Beatriz Villanueva; John A Woolliams
Journal:  Genetics       Date:  2010-04-20       Impact factor: 4.562

2.  The impact of population structure on genomic prediction in stratified populations.

Authors:  Zhigang Guo; Dominic M Tucker; Christopher J Basten; Harish Gandhi; Elhan Ersoz; Baohong Guo; Zhanyou Xu; Daolong Wang; Gilles Gay
Journal:  Theor Appl Genet       Date:  2014-01-24       Impact factor: 5.699

Review 3.  Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture.

Authors:  M E Goddard; K E Kemper; I M MacLeod; A J Chamberlain; B J Hayes
Journal:  Proc Biol Sci       Date:  2016-07-27       Impact factor: 5.349

Review 4.  Harnessing genomics to fast-track genetic improvement in aquaculture.

Authors:  Ross D Houston; Tim P Bean; Daniel J Macqueen; Manu Kumar Gundappa; Ye Hwa Jin; Tom L Jenkins; Sarah Louise C Selly; Samuel A M Martin; Jamie R Stevens; Eduarda M Santos; Andrew Davie; Diego Robledo
Journal:  Nat Rev Genet       Date:  2020-04-16       Impact factor: 53.242

5.  Densovirus associated with sea-star wasting disease and mass mortality.

Authors:  Ian Hewson; Jason B Button; Brent M Gudenkauf; Benjamin Miner; Alisa L Newton; Joseph K Gaydos; Janna Wynne; Cathy L Groves; Gordon Hendler; Michael Murray; Steven Fradkin; Mya Breitbart; Elizabeth Fahsbender; Kevin D Lafferty; A Marm Kilpatrick; C Melissa Miner; Peter Raimondi; Lesanna Lahner; Carolyn S Friedman; Stephen Daniels; Martin Haulena; Jeffrey Marliave; Colleen A Burge; Morgan E Eisenlord; C Drew Harvell
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-17       Impact factor: 11.205

Review 6.  Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.

Authors:  José Crossa; Paulino Pérez-Rodríguez; Jaime Cuevas; Osval Montesinos-López; Diego Jarquín; Gustavo de Los Campos; Juan Burgueño; Juan M González-Camacho; Sergio Pérez-Elizalde; Yoseph Beyene; Susanne Dreisigacker; Ravi Singh; Xuecai Zhang; Manje Gowda; Manish Roorkiwal; Jessica Rutkoski; Rajeev K Varshney
Journal:  Trends Plant Sci       Date:  2017-09-28       Impact factor: 18.313

7.  The Genomic Health of Ancient Hominins.

Authors:  Ali J Berens; Taylor L Cooper; Joseph Lachance
Journal:  Hum Biol       Date:  2017-01       Impact factor: 0.553

8.  Mixture models detect large effect QTL better than GBLUP and result in more accurate and persistent predictions.

Authors:  Anna Wolc; Jesus Arango; Petek Settar; Janet E Fulton; Neil P O'Sullivan; Jack C M Dekkers; Rohan Fernando; Dorian J Garrick
Journal:  J Anim Sci Biotechnol       Date:  2016-02-11

9.  Genomic analysis of the natural history of attention-deficit/hyperactivity disorder using Neanderthal and ancient Homo sapiens samples.

Authors:  Bru Cormand; Oscar Lao; Paula Esteller-Cucala; Iago Maceda; Anders D Børglum; Ditte Demontis; Stephen V Faraone
Journal:  Sci Rep       Date:  2020-05-25       Impact factor: 4.379

10.  Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models.

Authors:  Matías F Schrauf; Johannes W R Martini; Henner Simianer; Gustavo de Los Campos; Rodolfo Cantet; Jan Freudenthal; Arthur Korte; Sebastián Munilla
Journal:  G3 (Bethesda)       Date:  2020-09-02       Impact factor: 3.154

View more
  2 in total

1.  Using genomic prediction to detect microevolutionary change of a quantitative trait.

Authors:  D C Hunter; B Ashraf; C Bérénos; P A Ellis; S E Johnston; A J Wilson; J G Pilkington; J M Pemberton; J Slate
Journal:  Proc Biol Sci       Date:  2022-05-11       Impact factor: 5.530

2.  Genomic prediction of growth in a commercially, recreationally, and culturally important marine resource, the Australian snapper (Chrysophrys auratus).

Authors:  Jonathan Sandoval-Castillo; Luciano B Beheregaray; Maren Wellenreuther
Journal:  G3 (Bethesda)       Date:  2022-03-04       Impact factor: 3.542

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.