Genetic interactions contribute less than additive effects to quantitative trait variation in yeast
Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate...
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| Published in | Nature communications Vol. 6; no. 1; p. 8712 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
05.11.2015
Nature Publishing Group Nature Pub. Group |
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| Abstract | Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate. Here we use a very large cross between two yeast strains to accurately estimate the fraction of phenotypic variance due to pairwise QTL–QTL interactions for 20 quantitative traits. We find that this fraction is 9% on average, substantially less than the contribution of additive QTL (43%). Statistically significant QTL–QTL pairs typically have small individual effect sizes, but collectively explain 40% of the pairwise interaction variance. We show that pairwise interaction variance is largely explained by pairs of loci at least one of which has a significant additive effect. These results refine our understanding of the genetic architecture of quantitative traits and help guide future mapping studies.
This study uses a large number of crosses between a common lab strain and vineyard-isolated strain of yeast, and estimates the phenotypic variance for various quantitative traits. Using this data set, the authors show additive quantitative trait loci (QTL) and QTL–QTL interactions to be on average 43% and 9%, respectively. |
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| AbstractList | Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate. Here we use a very large cross between two yeast strains to accurately estimate the fraction of phenotypic variance due to pairwise QTL–QTL interactions for 20 quantitative traits. We find that this fraction is 9% on average, substantially less than the contribution of additive QTL (43%). Statistically significant QTL–QTL pairs typically have small individual effect sizes, but collectively explain 40% of the pairwise interaction variance. We show that pairwise interaction variance is largely explained by pairs of loci at least one of which has a significant additive effect. These results refine our understanding of the genetic architecture of quantitative traits and help guide future mapping studies. Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate. Here we use a very large cross between two yeast strains to accurately estimate the fraction of phenotypic variance due to pairwise QTL–QTL interactions for 20 quantitative traits. We find that this fraction is 9% on average, substantially less than the contribution of additive QTL (43%). Statistically significant QTL–QTL pairs typically have small individual effect sizes, but collectively explain 40% of the pairwise interaction variance. We show that pairwise interaction variance is largely explained by pairs of loci at least one of which has a significant additive effect. These results refine our understanding of the genetic architecture of quantitative traits and help guide future mapping studies. This study uses a large number of crosses between a common lab strain and vineyard-isolated strain of yeast, and estimates the phenotypic variance for various quantitative traits. Using this data set, the authors show additive quantitative trait loci (QTL) and QTL–QTL interactions to be on average 43% and 9%, respectively. Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate. Here we use a very large cross between two yeast strains to accurately estimate the fraction of phenotypic variance due to pairwise QTL-QTL interactions for 20 quantitative traits. We find that this fraction is 9% on average, substantially less than the contribution of additive QTL (43%). Statistically significant QTL-QTL pairs typically have small individual effect sizes, but collectively explain 40% of the pairwise interaction variance. We show that pairwise interaction variance is largely explained by pairs of loci at least one of which has a significant additive effect. These results refine our understanding of the genetic architecture of quantitative traits and help guide future mapping studies.Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate. Here we use a very large cross between two yeast strains to accurately estimate the fraction of phenotypic variance due to pairwise QTL-QTL interactions for 20 quantitative traits. We find that this fraction is 9% on average, substantially less than the contribution of additive QTL (43%). Statistically significant QTL-QTL pairs typically have small individual effect sizes, but collectively explain 40% of the pairwise interaction variance. We show that pairwise interaction variance is largely explained by pairs of loci at least one of which has a significant additive effect. These results refine our understanding of the genetic architecture of quantitative traits and help guide future mapping studies. |
| ArticleNumber | 8712 |
| Author | Kotenko, Iulia Treusch, Sebastian Kruglyak, Leonid Albert, Frank W. Sadhu, Meru J. Bloom, Joshua S. |
| Author_xml | – sequence: 1 givenname: Joshua S. surname: Bloom fullname: Bloom, Joshua S. organization: Department of Human Genetics, University of California, Los Angeles, Howard Hughes Medical Institute, University of California, Los Angeles – sequence: 2 givenname: Iulia surname: Kotenko fullname: Kotenko, Iulia organization: Department of Molecular Biology, Princeton University – sequence: 3 givenname: Meru J. surname: Sadhu fullname: Sadhu, Meru J. organization: Department of Human Genetics, University of California, Los Angeles – sequence: 4 givenname: Sebastian surname: Treusch fullname: Treusch, Sebastian organization: Twist Bioscience – sequence: 5 givenname: Frank W. surname: Albert fullname: Albert, Frank W. organization: Department of Human Genetics, University of California, Los Angeles – sequence: 6 givenname: Leonid surname: Kruglyak fullname: Kruglyak, Leonid email: lkruglyak@mednet.ucla.edu organization: Department of Human Genetics, University of California, Los Angeles, Howard Hughes Medical Institute, University of California, Los Angeles, Department of Biological Chemistry, University of California |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26537231$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1534/genetics.114.165282 10.1534/genetics.114.170795 10.1038/ng1761 10.1038/nature11867 10.1038/ng.2876 10.1126/science.1180823 10.1016/j.tig.2013.09.006 10.3389/fgene.2011.00071 10.1007/s00335-004-2425-4 10.1038/nature12904 10.1038/nature08494 10.1038/nrg3627 10.1093/bioinformatics/btq046 10.1093/bioinformatics/btp324 10.1093/bioinformatics/btp352 10.1073/pnas.1119675109 10.1371/journal.pgen.1000008 10.1093/jhered/esn017 10.1093/bioinformatics/btg112 10.1101/gr.528003 10.1534/genetics.112.142877 10.3835/plantgenome2011.08.0024 10.2307/2533274 10.1126/science.1166426 10.1017/S0016672304006779 10.1016/j.ajhg.2015.01.001 10.1101/022418 10.1093/genetics/138.3.963 10.1093/genetics/157.4.1819 |
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| Copyright | The Author(s) 2015 Copyright Nature Publishing Group Nov 2015 Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2015 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. |
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| References | Yang, Zaitlen, Goddard, Visscher, Price (CR10) 2014; 46 Churchill, Doerge (CR32) 1994; 138 Young, Durbin (CR12) 2014; 198 Hill, Goddard, Visscher (CR1) 2008; 4 Mackay (CR5) 2014; 15 Bloom, Ehrenreich, Loo, Lite, Kruglyak (CR6) 2013; 494 Li (CR27) 2009; 25 Meuwissen, Hayes, Goddard (CR8) 2001; 157 Carlborg, Brockmann, Haley (CR21) 2005; 16 Nelson, Pettersson, Carlborg (CR3) 2013; 29 Li, Durbin (CR26) 2009; 25 Manolio (CR13) 2009; 461 Pau, Fuchs, Sklyar, Boutros, Huber (CR29) 2010; 26 Leamy, Gordon, Pomp (CR18) 2011; 2 Carlborg, Jacobsson, Ahgren, Siegel, Andersson (CR17) 2006; 38 Carlborg, Hocking, Burt, Haley (CR20) 2004; 83 CR7 Mäki-Tanila, Hill (CR2) 2014; 198 Broman, Wu, Sen, Churchill (CR33) 2003; 19 Gilmour, Thompson, Cullis (CR31) 1995; 51 CR25 Zuk, Hechter, Sunyaev, Lander (CR4) 2012; 109 CR24 Costanzo (CR14) 2010; 327 CR23 Carlborg (CR19) 2003; 13 Gaertner, Parmenter, Rockman, Kruglyak, Phillips (CR16) 2012; 192 Zhu (CR22) 2015; 96 Shen (CR11) 2013; 4 Endelman (CR30) 2011; 4 Albert, Treusch, Shockley, Bloom, Kruglyak (CR28) 2014; 506 Rönnegård, Pong-Wong, Carlborg (CR9) 2008; 99 Gerke, Lorenz, Cohen (CR15) 2009; 323 L Rönnegård (BFncomms9712_CR9) 2008; 99 TA Manolio (BFncomms9712_CR13) 2009; 461 O Carlborg (BFncomms9712_CR21) 2005; 16 BFncomms9712_CR7 H Li (BFncomms9712_CR27) 2009; 25 M Costanzo (BFncomms9712_CR14) 2010; 327 GA Churchill (BFncomms9712_CR32) 1994; 138 O Carlborg (BFncomms9712_CR17) 2006; 38 KW Broman (BFncomms9712_CR33) 2003; 19 JB Endelman (BFncomms9712_CR30) 2011; 4 LJ Leamy (BFncomms9712_CR18) 2011; 2 O Carlborg (BFncomms9712_CR20) 2004; 83 H Li (BFncomms9712_CR26) 2009; 25 JS Bloom (BFncomms9712_CR6) 2013; 494 TH Meuwissen (BFncomms9712_CR8) 2001; 157 AR Gilmour (BFncomms9712_CR31) 1995; 51 X Shen (BFncomms9712_CR11) 2013; 4 J Gerke (BFncomms9712_CR15) 2009; 323 TFC Mackay (BFncomms9712_CR5) 2014; 15 RM Nelson (BFncomms9712_CR3) 2013; 29 A Mäki-Tanila (BFncomms9712_CR2) 2014; 198 AI Young (BFncomms9712_CR12) 2014; 198 BFncomms9712_CR25 BE Gaertner (BFncomms9712_CR16) 2012; 192 BFncomms9712_CR24 BFncomms9712_CR23 FW Albert (BFncomms9712_CR28) 2014; 506 J Yang (BFncomms9712_CR10) 2014; 46 Z Zhu (BFncomms9712_CR22) 2015; 96 WG Hill (BFncomms9712_CR1) 2008; 4 O Carlborg (BFncomms9712_CR19) 2003; 13 G Pau (BFncomms9712_CR29) 2010; 26 O Zuk (BFncomms9712_CR4) 2012; 109 20338898 - Bioinformatics. 2010 Apr 1;26(7):979-81 19812666 - Nature. 2009 Oct 8;461(7265):747-53 12724300 - Bioinformatics. 2003 May 1;19(7):889-90 19451168 - Bioinformatics. 2009 Jul 15;25(14):1754-60 12618372 - Genome Res. 2003 Mar;13(3):413-21 22223662 - Proc Natl Acad Sci U S A. 2012 Jan 24;109(4):1193-8 18344528 - J Hered. 2008 Jul-Aug;99(4):421-5 24296533 - Nat Rev Genet. 2014 Jan;15(1):22-33 16151693 - Mamm Genome. 2005 Jul;16(7):481-94 16532011 - Nat Genet. 2006 Apr;38(4):418-20 19164747 - Science. 2009 Jan 23;323(5913):498-501 23376951 - Nature. 2013 Feb 14;494(7436):234-7 24402228 - Nature. 2014 Feb 27;506(7489):494-7 24204378 - Front Genet. 2013 Nov 05;4:225 15462413 - Genet Res. 2004 Jun;83(3):197-209 11290733 - Genetics. 2001 Apr;157(4):1819-29 25683123 - Am J Hum Genet. 2015 Mar 5;96(3):377-85 7851788 - Genetics. 1994 Nov;138(3):963-71 24473328 - Nat Genet. 2014 Feb;46(2):100-6 19505943 - Bioinformatics. 2009 Aug 15;25(16):2078-9 23086219 - Genetics. 2012 Dec;192(4):1533-42 24161664 - Trends Genet. 2013 Dec;29(12):669-76 24990992 - Genetics. 2014 Sep;198(1):355-67 20093466 - Science. 2010 Jan 22;327(5964):425-31 22303366 - Front Genet. 2011 Oct 28;2:71 18454194 - PLoS Genet. 2008 Feb;4(2):e1000008 25326236 - Genetics. 2014 Dec;198(4):1405-16 |
| References_xml | – volume: 198 start-page: 355 year: 2014 end-page: 367 ident: CR2 article-title: Influence of gene interaction on complex trait variation with multilocus models publication-title: Genetics doi: 10.1534/genetics.114.165282 – volume: 138 start-page: 963 year: 1994 end-page: 971 ident: CR32 article-title: Empirical threshold values for quantitative trait mapping publication-title: Genetics – volume: 198 start-page: 1405 year: 2014 end-page: 1416 ident: CR12 article-title: Estimation of epistatic variance components and heritability in founder populations and crosses publication-title: Genetics doi: 10.1534/genetics.114.170795 – volume: 38 start-page: 418 year: 2006 end-page: 420 ident: CR17 article-title: Epistasis and the release of genetic variation during long-term selection publication-title: Nat. Genet. doi: 10.1038/ng1761 – volume: 494 start-page: 234 year: 2013 end-page: 237 ident: CR6 article-title: Finding the sources of missing heritability in a yeast cross publication-title: Nature doi: 10.1038/nature11867 – volume: 46 start-page: 100 year: 2014 end-page: 106 ident: CR10 article-title: Advantages and pitfalls in the application of mixed-model association methods publication-title: Nat. Genet. doi: 10.1038/ng.2876 – volume: 327 start-page: 425 year: 2010 end-page: 431 ident: CR14 article-title: The genetic landscape of a cell publication-title: Science doi: 10.1126/science.1180823 – volume: 29 start-page: 669 year: 2013 end-page: 676 ident: CR3 article-title: A century after Fisher: time for a new paradigm in quantitative genetics publication-title: Trends Genet. doi: 10.1016/j.tig.2013.09.006 – volume: 2 start-page: 71 year: 2011 ident: CR18 article-title: Sex-, diet-, and cancer-dependent epistatic effects on complex traits in mice publication-title: Front. Genet. doi: 10.3389/fgene.2011.00071 – volume: 16 start-page: 481 year: 2005 end-page: 494 ident: CR21 article-title: Simultaneous mapping of epistatic QTL in DU6i x DBA/2 mice publication-title: Mamm. Genome doi: 10.1007/s00335-004-2425-4 – volume: 506 start-page: 494 year: 2014 end-page: 497 ident: CR28 article-title: Genetics of single-cell protein abundance variation in large yeast populations publication-title: Nature doi: 10.1038/nature12904 – volume: 461 start-page: 747 year: 2009 end-page: 753 ident: CR13 article-title: Finding the missing heritability of complex diseases publication-title: Nature doi: 10.1038/nature08494 – volume: 15 start-page: 22 year: 2014 end-page: 33 ident: CR5 article-title: Epistasis and quantitative traits: using model organisms to study gene-gene interactions publication-title: Nat. Rev. Genet. doi: 10.1038/nrg3627 – volume: 26 start-page: 979 year: 2010 end-page: 981 ident: CR29 article-title: EBImage--an R package for image processing with applications to cellular phenotypes publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq046 – volume: 25 start-page: 1754 year: 2009 end-page: 1760 ident: CR26 article-title: Fast and accurate short read alignment with Burrows-Wheeler transform publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp324 – ident: CR25 – volume: 25 start-page: 2078 year: 2009 end-page: 2079 ident: CR27 article-title: The sequence alignment/map format and SAMtools publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp352 – ident: CR23 – volume: 109 start-page: 1193 year: 2012 end-page: 1198 ident: CR4 article-title: The mystery of missing heritability: Genetic interactions create phantom heritability publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1119675109 – volume: 4 start-page: e1000008 year: 2008 ident: CR1 article-title: Data and theory point to mainly additive genetic variance for complex traits publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000008 – volume: 99 start-page: 421 year: 2008 end-page: 425 ident: CR9 article-title: Defining the assumptions underlying modeling of epistatic QTL using variance component methods publication-title: J. Hered. doi: 10.1093/jhered/esn017 – volume: 19 start-page: 889 year: 2003 end-page: 890 ident: CR33 article-title: R/qtl: QTL mapping in experimental crosses publication-title: Bioinformatics doi: 10.1093/bioinformatics/btg112 – volume: 13 start-page: 413 year: 2003 end-page: 421 ident: CR19 article-title: A global search reveals epistatic interaction between QTL for early growth in the chicken publication-title: Genome Res. doi: 10.1101/gr.528003 – volume: 192 start-page: 1533 year: 2012 end-page: 1542 ident: CR16 article-title: More than the sum of its parts: a complex epistatic network underlies natural variation in thermal preference behavior in Caenorhabditis elegans publication-title: Genetics doi: 10.1534/genetics.112.142877 – volume: 4 start-page: 250 year: 2011 end-page: 255 ident: CR30 article-title: Ridge regression and other kernels for genomic selection with R package rrBLUP publication-title: Plant Genome doi: 10.3835/plantgenome2011.08.0024 – volume: 4 start-page: 225 year: 2013 ident: CR11 article-title: The curse of the missing heritability publication-title: Front. Genet. – volume: 51 start-page: 1440 year: 1995 end-page: 1450 ident: CR31 article-title: Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models publication-title: Biometrics doi: 10.2307/2533274 – volume: 323 start-page: 498 year: 2009 end-page: 501 ident: CR15 article-title: Genetic interactions between transcription factors cause natural variation in yeast publication-title: Science doi: 10.1126/science.1166426 – volume: 83 start-page: 197 year: 2004 end-page: 209 ident: CR20 article-title: Simultaneous mapping of epistatic QTL in chickens reveals clusters of QTL pairs with similar genetic effects on growth publication-title: Genet. Res. doi: 10.1017/S0016672304006779 – volume: 96 start-page: 377 year: 2015 end-page: 385 ident: CR22 article-title: Dominance genetic variation contributes little to the missing heritability for human complex traits publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2015.01.001 – ident: CR7 – volume: 157 start-page: 1819 year: 2001 end-page: 1829 ident: CR8 article-title: Prediction of total genetic value using genome-wide dense marker maps publication-title: Genetics – ident: CR24 – ident: BFncomms9712_CR23 doi: 10.1101/022418 – volume: 109 start-page: 1193 year: 2012 ident: BFncomms9712_CR4 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1119675109 – volume: 19 start-page: 889 year: 2003 ident: BFncomms9712_CR33 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btg112 – volume: 198 start-page: 355 year: 2014 ident: BFncomms9712_CR2 publication-title: Genetics doi: 10.1534/genetics.114.165282 – volume: 494 start-page: 234 year: 2013 ident: BFncomms9712_CR6 publication-title: Nature doi: 10.1038/nature11867 – volume: 198 start-page: 1405 year: 2014 ident: BFncomms9712_CR12 publication-title: Genetics doi: 10.1534/genetics.114.170795 – volume: 4 start-page: 225 year: 2013 ident: BFncomms9712_CR11 publication-title: Front. Genet. – volume: 4 start-page: e1000008 year: 2008 ident: BFncomms9712_CR1 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000008 – volume: 51 start-page: 1440 year: 1995 ident: BFncomms9712_CR31 publication-title: Biometrics doi: 10.2307/2533274 – volume: 323 start-page: 498 year: 2009 ident: BFncomms9712_CR15 publication-title: Science doi: 10.1126/science.1166426 – volume: 16 start-page: 481 year: 2005 ident: BFncomms9712_CR21 publication-title: Mamm. Genome doi: 10.1007/s00335-004-2425-4 – volume: 138 start-page: 963 year: 1994 ident: BFncomms9712_CR32 publication-title: Genetics doi: 10.1093/genetics/138.3.963 – volume: 327 start-page: 425 year: 2010 ident: BFncomms9712_CR14 publication-title: Science doi: 10.1126/science.1180823 – volume: 26 start-page: 979 year: 2010 ident: BFncomms9712_CR29 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq046 – volume: 157 start-page: 1819 year: 2001 ident: BFncomms9712_CR8 publication-title: Genetics doi: 10.1093/genetics/157.4.1819 – volume: 192 start-page: 1533 year: 2012 ident: BFncomms9712_CR16 publication-title: Genetics doi: 10.1534/genetics.112.142877 – volume: 25 start-page: 2078 year: 2009 ident: BFncomms9712_CR27 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp352 – ident: BFncomms9712_CR25 – volume: 29 start-page: 669 year: 2013 ident: BFncomms9712_CR3 publication-title: Trends Genet. doi: 10.1016/j.tig.2013.09.006 – ident: BFncomms9712_CR7 – volume: 506 start-page: 494 year: 2014 ident: BFncomms9712_CR28 publication-title: Nature doi: 10.1038/nature12904 – volume: 99 start-page: 421 year: 2008 ident: BFncomms9712_CR9 publication-title: J. Hered. doi: 10.1093/jhered/esn017 – volume: 83 start-page: 197 year: 2004 ident: BFncomms9712_CR20 publication-title: Genet. Res. doi: 10.1017/S0016672304006779 – volume: 13 start-page: 413 year: 2003 ident: BFncomms9712_CR19 publication-title: Genome Res. doi: 10.1101/gr.528003 – volume: 38 start-page: 418 year: 2006 ident: BFncomms9712_CR17 publication-title: Nat. Genet. doi: 10.1038/ng1761 – volume: 96 start-page: 377 year: 2015 ident: BFncomms9712_CR22 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2015.01.001 – volume: 4 start-page: 250 year: 2011 ident: BFncomms9712_CR30 publication-title: Plant Genome doi: 10.3835/plantgenome2011.08.0024 – volume: 461 start-page: 747 year: 2009 ident: BFncomms9712_CR13 publication-title: Nature doi: 10.1038/nature08494 – volume: 46 start-page: 100 year: 2014 ident: BFncomms9712_CR10 publication-title: Nat. Genet. doi: 10.1038/ng.2876 – volume: 25 start-page: 1754 year: 2009 ident: BFncomms9712_CR26 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp324 – volume: 15 start-page: 22 year: 2014 ident: BFncomms9712_CR5 publication-title: Nat. Rev. Genet. doi: 10.1038/nrg3627 – ident: BFncomms9712_CR24 – volume: 2 start-page: 71 year: 2011 ident: BFncomms9712_CR18 publication-title: Front. Genet. doi: 10.3389/fgene.2011.00071 – reference: 15462413 - Genet Res. 2004 Jun;83(3):197-209 – reference: 24204378 - Front Genet. 2013 Nov 05;4:225 – reference: 7851788 - Genetics. 1994 Nov;138(3):963-71 – reference: 18454194 - PLoS Genet. 2008 Feb;4(2):e1000008 – reference: 24296533 - Nat Rev Genet. 2014 Jan;15(1):22-33 – reference: 19505943 - Bioinformatics. 2009 Aug 15;25(16):2078-9 – reference: 22223662 - Proc Natl Acad Sci U S A. 2012 Jan 24;109(4):1193-8 – reference: 11290733 - Genetics. 2001 Apr;157(4):1819-29 – reference: 16532011 - Nat Genet. 2006 Apr;38(4):418-20 – reference: 25326236 - Genetics. 2014 Dec;198(4):1405-16 – reference: 12618372 - Genome Res. 2003 Mar;13(3):413-21 – reference: 20338898 - Bioinformatics. 2010 Apr 1;26(7):979-81 – reference: 24402228 - Nature. 2014 Feb 27;506(7489):494-7 – reference: 24473328 - Nat Genet. 2014 Feb;46(2):100-6 – reference: 22303366 - Front Genet. 2011 Oct 28;2:71 – reference: 23376951 - Nature. 2013 Feb 14;494(7436):234-7 – reference: 19812666 - Nature. 2009 Oct 8;461(7265):747-53 – reference: 20093466 - Science. 2010 Jan 22;327(5964):425-31 – reference: 18344528 - J Hered. 2008 Jul-Aug;99(4):421-5 – reference: 24161664 - Trends Genet. 2013 Dec;29(12):669-76 – reference: 19164747 - Science. 2009 Jan 23;323(5913):498-501 – reference: 19451168 - Bioinformatics. 2009 Jul 15;25(14):1754-60 – reference: 24990992 - Genetics. 2014 Sep;198(1):355-67 – reference: 16151693 - Mamm Genome. 2005 Jul;16(7):481-94 – reference: 25683123 - Am J Hum Genet. 2015 Mar 5;96(3):377-85 – reference: 23086219 - Genetics. 2012 Dec;192(4):1533-42 – reference: 12724300 - Bioinformatics. 2003 May 1;19(7):889-90 |
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| Snippet | Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often... |
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| SubjectTerms | 631/208/2490 631/208/325/2484 631/208/729/743 Chromosome Mapping Epistasis, Genetic Genetic Variation Genotype Humanities and Social Sciences multidisciplinary Phenotype Quantitative Trait Loci Saccharomyces cerevisiae - genetics Science Science (multidisciplinary) Yeasts |
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| Title | Genetic interactions contribute less than additive effects to quantitative trait variation in yeast |
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