The Impact of Non-additive Effects on the Genetic Correlation Between Populations.
average effects
dominance
epistasis
genomic prediction
population divergence
Journal
G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598
Informations de publication
Date de publication:
06 02 2020
06 02 2020
Historique:
pubmed:
21
12
2019
medline:
9
1
2021
entrez:
21
12
2019
Statut:
epublish
Résumé
Average effects of alleles can show considerable differences between populations. The magnitude of these differences can be measured by the additive genetic correlation between populations ([Formula: see text]). This [Formula: see text] can be lower than one due to the presence of non-additive genetic effects together with differences in allele frequencies between populations. However, the relationship between the nature of non-additive effects, differences in allele frequencies, and the value of [Formula: see text] remains unclear, and was therefore the focus of this study. We simulated genotype data of two populations that have diverged under drift only, or under drift and selection, and we simulated traits where the genetic model and magnitude of non-additive effects were varied. Results showed that larger differences in allele frequencies and larger non-additive effects resulted in lower values of [Formula: see text] In addition, we found that with epistasis, [Formula: see text] decreases with an increase of the number of interactions per locus. For both dominance and epistasis, we found that, when non-additive effects became extremely large, [Formula: see text] had a lower bound that was determined by the type of inter-allelic interaction, and the difference in allele frequencies between populations. Given that dominance variance is usually small, our results show that it is unlikely that true [Formula: see text] values lower than 0.80 are due to dominance effects alone. With realistic levels of epistasis, [Formula: see text] dropped as low as 0.45. These results may contribute to the understanding of differences in genetic expression of complex traits between populations, and may help in explaining the inefficiency of genomic trait prediction across populations.
Identifiants
pubmed: 31857332
pii: g3.119.400663
doi: 10.1534/g3.119.400663
pmc: PMC7003072
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
783-795Informations de copyright
Copyright © 2020 Duenk et al.
Références
J Anim Breed Genet. 2010 Jun;127(3):171-9
pubmed: 20536634
Theor Popul Biol. 2005 Nov;68(3):179-96
pubmed: 16122771
Evolution. 2013 Dec;67(12):3501-11
pubmed: 24299403
Genome Res. 2003 Mar;13(3):413-21
pubmed: 12618372
Genetics. 2007 Jun;176(2):1151-67
pubmed: 17409082
J Anim Sci. 2017 Aug;95(8):3467-3478
pubmed: 28805893
J Anim Breed Genet. 2016 Jun;133(3):180-6
pubmed: 26676611
Genetics. 2014 Sep;198(1):355-67
pubmed: 24990992
Genet Sel Evol. 2018 Oct 10;50(1):49
pubmed: 30314431
Genet Sel Evol. 2016 Feb 19;48:15
pubmed: 26895843
J Anim Breed Genet. 2017 Dec;134(6):453-462
pubmed: 28833716
Heredity (Edinb). 2007 Jun;98(6):349-59
pubmed: 17327874
BMC Bioinformatics. 2016 Feb 06;17:73
pubmed: 26852240
Genet Sel Evol. 2015 Sep 29;47:76
pubmed: 26419430
Evolution. 1996 Jun;50(3):1042-1051
pubmed: 28565298
Genet Sel Evol. 2018 May 18;50(1):27
pubmed: 29776327
Genetics. 2016 Mar;202(3):877-81
pubmed: 26953266
Genet Sel Evol. 2015 Feb 06;47:5
pubmed: 25885467
Nat Genet. 2017 Apr;49(4):497-503
pubmed: 28250458
Nat Rev Genet. 2014 Jan;15(1):22-33
pubmed: 24296533
Genetics. 1995 Mar;139(3):1455-61
pubmed: 7768453
G3 (Bethesda). 2019 May 7;9(5):1429-1436
pubmed: 30877081
Genet Sel Evol. 2012 Dec 07;44:39
pubmed: 23216664
Am J Hum Genet. 2016 Jul 7;99(1):76-88
pubmed: 27321947
Bioinformatics. 2009 Mar 1;25(5):680-1
pubmed: 19176551
Philos Trans R Soc Lond B Biol Sci. 2005 Jul 29;360(1459):1411-25
pubmed: 16048784
Nat Rev Genet. 2014 Nov;15(11):722-33
pubmed: 25200660
Genetics. 1954 Nov;39(6):859-82
pubmed: 17247525
Heredity (Edinb). 2018 May;120(5):452-462
pubmed: 29335620
Genetics. 2008 Jul;179(3):1591-9
pubmed: 18622035
Am J Hum Genet. 2013 Sep 5;93(3):463-70
pubmed: 23954163
Genet Sel Evol. 2011 Dec 12;43:43
pubmed: 22152008
Genet Sel Evol. 2015 Nov 02;47:84
pubmed: 26525050
J Hered. 2017 May 1;108(3):318-327
pubmed: 28082328
Genet Sel Evol. 2011 Jun 21;43:23
pubmed: 21693035
Genet Sel Evol. 2014 Jun 24;46:40
pubmed: 24962065
Genetics. 1964 Apr;49:725-38
pubmed: 14156929
PLoS Genet. 2011 Jul;7(7):e1002180
pubmed: 21814519
Proc R Soc Lond B Biol Sci. 1954 Dec 15;143(910):102-13
pubmed: 13224653
Proc Natl Acad Sci U S A. 2016 Apr 19;113(16):4422-7
pubmed: 27044080
G3 (Bethesda). 2018 Jul 31;8(8):2817-2824
pubmed: 29945968
PLoS Genet. 2015 May 06;11(5):e1005201
pubmed: 25946702
Genetics. 2009 Dec;183(4):1545-53
pubmed: 19822733
Genetics. 2017 Jul;206(3):1297-1307
pubmed: 28522540
PLoS Genet. 2008 Feb 29;4(2):e1000008
pubmed: 18454194
Genet Sel Evol. 2018 Dec 22;50(1):71
pubmed: 30577727
Genet Res (Camb). 2011 Apr;93(2):139-54
pubmed: 21481291
Genet Sel Evol. 2009 Nov 24;41:51
pubmed: 19930712
J Anim Breed Genet. 2017 Jun;134(3):196-201
pubmed: 28508485
Genet Sel Evol. 2009 Jun 30;41:37
pubmed: 19566932
Methods Mol Biol. 2015;1253:47-70
pubmed: 25403527