Literature DB >> 19066216

Genetic architecture of complex traits: large phenotypic effects and pervasive epistasis.

Haifeng Shao1, Lindsay C Burrage, David S Sinasac, Annie E Hill, Sheila R Ernest, William O'Brien, Hayden-William Courtland, Karl J Jepsen, Andrew Kirby, E J Kulbokas, Mark J Daly, Karl W Broman, Eric S Lander, Joseph H Nadeau.   

Abstract

The genetic architecture of complex traits underlying physiology and disease in most organisms remains elusive. We still know little about the number of genes that underlie these traits, the magnitude of their effects, or the extent to which they interact. Chromosome substitution strains (CSSs) enable statistically powerful studies based on testing engineered inbred strains that have single, unique, and nonoverlapping genetic differences, thereby providing measures of phenotypic effects that are attributable to individual chromosomes. Here, we report a study of phenotypic effects and gene interactions for 90 blood, bone, and metabolic traits in a mouse CSS panel and 54 traits in a rat CSS panel. Two key observations emerge about the genetic architecture of these traits. First, the traits tend to be highly polygenic: across the genome, many individual chromosome substitutions each had significant phenotypic effects and, within each of the chromosomes studied, multiple distinct loci were found. Second, strong epistasis was found among the individual chromosomes. Specifically, individual chromosome substitutions often conferred surprisingly large effects (often a substantial fraction of the entire phenotypic difference between the parental strains), with the result that the sum of these individual effects often dramatically exceeded the difference between the parental strains. We suggest that strong, pervasive epistasis may reflect the presence of several phenotypically-buffered physiological states. These results have implications for identification of complex trait genes, developmental and physiological studies of phenotypic variation, and opportunities to engineer phenotypic outcomes in complex biological systems.

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Year:  2008        PMID: 19066216      PMCID: PMC2604967          DOI: 10.1073/pnas.0810388105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  29 in total

Review 1.  Principles for the buffering of genetic variation.

Authors:  J L Hartman; B Garvik; L Hartwell
Journal:  Science       Date:  2001-02-09       Impact factor: 47.728

2.  Chromosome substitution strains: some quantitative considerations for genome scans and fine mapping.

Authors:  John K Belknap
Journal:  Mamm Genome       Date:  2003-11       Impact factor: 2.957

Review 3.  Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans.

Authors:  Heather J Cordell
Journal:  Hum Mol Genet       Date:  2002-10-01       Impact factor: 6.150

4.  Little epistasis for anxiety-related measures in the DeFries strains of laboratory mice.

Authors:  Jonathan Flint; John C DeFries; Norman D Henderson
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

5.  Genome-wide genetic association of complex traits in heterogeneous stock mice.

Authors:  William Valdar; Leah C Solberg; Dominique Gauguier; Stephanie Burnett; Paul Klenerman; William O Cookson; Martin S Taylor; J Nicholas P Rawlins; Richard Mott; Jonathan Flint
Journal:  Nat Genet       Date:  2006-07-09       Impact factor: 38.330

6.  Complex genetic architecture revealed by analysis of high-density lipoprotein cholesterol in chromosome substitution strains and F2 crosses.

Authors:  Ioannis M Stylianou; Shirng-Wern Tsaih; Keith DiPetrillo; Naoki Ishimori; Renhua Li; Beverly Paigen; Gary Churchill
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

7.  Many sequence variants affecting diversity of adult human height.

Authors:  Daniel F Gudbjartsson; G Bragi Walters; Gudmar Thorleifsson; Hreinn Stefansson; Bjarni V Halldorsson; Pasha Zusmanovich; Patrick Sulem; Steinunn Thorlacius; Arnaldur Gylfason; Stacy Steinberg; Anna Helgadottir; Andres Ingason; Valgerdur Steinthorsdottir; Elinborg J Olafsdottir; Gudridur H Olafsdottir; Thorvaldur Jonsson; Knut Borch-Johnsen; Torben Hansen; Gitte Andersen; Torben Jorgensen; Oluf Pedersen; Katja K Aben; J Alfred Witjes; Dorine W Swinkels; Martin den Heijer; Barbara Franke; Andre L M Verbeek; Diane M Becker; Lisa R Yanek; Lewis C Becker; Laufey Tryggvadottir; Thorunn Rafnar; Jeffrey Gulcher; Lambertus A Kiemeney; Augustine Kong; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Nat Genet       Date:  2008-04-06       Impact factor: 38.330

8.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

9.  Susceptibility to testicular germ-cell tumours in a 129.MOLF-Chr 19 chromosome substitution strain.

Authors:  A Matin; G B Collin; Y Asada; D Varnum; J H Nadeau
Journal:  Nat Genet       Date:  1999-10       Impact factor: 38.330

10.  Identification of ten loci associated with height highlights new biological pathways in human growth.

Authors:  Guillaume Lettre; Anne U Jackson; Christian Gieger; Fredrick R Schumacher; Sonja I Berndt; Serena Sanna; Susana Eyheramendy; Benjamin F Voight; Johannah L Butler; Candace Guiducci; Thomas Illig; Rachel Hackett; Iris M Heid; Kevin B Jacobs; Valeriya Lyssenko; Manuela Uda; Michael Boehnke; Stephen J Chanock; Leif C Groop; Frank B Hu; Bo Isomaa; Peter Kraft; Leena Peltonen; Veikko Salomaa; David Schlessinger; David J Hunter; Richard B Hayes; Gonçalo R Abecasis; H-Erich Wichmann; Karen L Mohlke; Joel N Hirschhorn
Journal:  Nat Genet       Date:  2008-04-06       Impact factor: 38.330

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  142 in total

1.  X-autosome incompatibilities in Drosophila melanogaster: tests of Haldane's rule and geographic patterns within species.

Authors:  Joseph Lachance; John R True
Journal:  Evolution       Date:  2010-08-19       Impact factor: 3.694

2.  Biological validation of increased schizophrenia risk with NRG1, ERBB4, and AKT1 epistasis via functional neuroimaging in healthy controls.

Authors:  Kristin K Nicodemus; Amanda J Law; Eugenia Radulescu; Augustin Luna; Bhaskar Kolachana; Radhakrishna Vakkalanka; Dan Rujescu; Ina Giegling; Richard E Straub; Kate McGee; Bert Gold; Michael Dean; Pierandrea Muglia; Joseph H Callicott; Hao-Yang Tan; Daniel R Weinberger
Journal:  Arch Gen Psychiatry       Date:  2010-10

3.  The mystery of missing heritability: Genetic interactions create phantom heritability.

Authors:  Or Zuk; Eliana Hechter; Shamil R Sunyaev; Eric S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-05       Impact factor: 11.205

Review 4.  Genetic contributions to behavioural diversity at the gene-environment interface.

Authors:  Andres Bendesky; Cornelia I Bargmann
Journal:  Nat Rev Genet       Date:  2011-11-08       Impact factor: 53.242

5.  Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseases.

Authors:  Hugues Aschard; Jinbo Chen; Marilyn C Cornelis; Lori B Chibnik; Elizabeth W Karlson; Peter Kraft
Journal:  Am J Hum Genet       Date:  2012-05-24       Impact factor: 11.025

6.  Ancestral paternal genotype controls body weight and food intake for multiple generations.

Authors:  Soha N Yazbek; Sabrina H Spiezio; Joseph H Nadeau; David A Buchner
Journal:  Hum Mol Genet       Date:  2010-08-09       Impact factor: 6.150

7.  Introduction to focus issue: genetic interactions.

Authors:  Daniel Segrè; Christopher J Marx
Journal:  Chaos       Date:  2010-06       Impact factor: 3.642

Review 8.  Evolutionary genomics of animal personality.

Authors:  Kees van Oers; Jakob C Mueller
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-12-27       Impact factor: 6.237

Review 9.  Inheritance patterns of progressive hearing loss in laboratory strains of mice.

Authors:  Konrad Noben-Trauth; Kenneth R Johnson
Journal:  Brain Res       Date:  2009-02-21       Impact factor: 3.252

10.  Genetic control of obesity, glucose homeostasis, dyslipidemia and fatty liver in a mouse model of diet-induced metabolic syndrome.

Authors:  D S Sinasac; J D Riordan; S H Spiezio; B S Yandell; C M Croniger; J H Nadeau
Journal:  Int J Obes (Lond)       Date:  2015-09-18       Impact factor: 5.095

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