Literature DB >> 23044826

Genome-wide association studies in mice.

Jonathan Flint1, Eleazar Eskin.   

Abstract

Genome-wide association studies (GWASs) have transformed the field of human genetics and have led to the discovery of hundreds of genes that are implicated in human disease. The technological advances that drove this revolution are now poised to transform genetic studies in model organisms, including mice. However, the design of GWASs in mouse strains is fundamentally different from the design of human GWASs, creating new challenges and opportunities. This Review gives an overview of the novel study designs for mouse GWASs, which dramatically improve both the statistical power and resolution compared to classical gene-mapping approaches.

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Year:  2012        PMID: 23044826      PMCID: PMC3625632          DOI: 10.1038/nrg3335

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  85 in total

1.  An integrative genomics approach to infer causal associations between gene expression and disease.

Authors:  Eric E Schadt; John Lamb; Xia Yang; Jun Zhu; Steve Edwards; Debraj Guhathakurta; Solveig K Sieberts; Stephanie Monks; Marc Reitman; Chunsheng Zhang; Pek Yee Lum; Amy Leonardson; Rolf Thieringer; Joseph M Metzger; Liming Yang; John Castle; Haoyuan Zhu; Shera F Kash; Thomas A Drake; Alan Sachs; Aldons J Lusis
Journal:  Nat Genet       Date:  2005-06-19       Impact factor: 38.330

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

3.  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

4.  Elucidating the role of gonadal hormones in sexually dimorphic gene coexpression networks.

Authors:  Atila van Nas; Debraj Guhathakurta; Susanna S Wang; Nadir Yehya; Steve Horvath; Bin Zhang; Leslie Ingram-Drake; Gautam Chaudhuri; Eric E Schadt; Thomas A Drake; Arthur P Arnold; Aldons J Lusis
Journal:  Endocrinology       Date:  2008-10-30       Impact factor: 4.736

5.  Theoretical and empirical issues for marker-assisted breeding of congenic mouse strains.

Authors:  P Markel; P Shu; C Ebeling; G A Carlson; D L Nagle; J S Smutko; K J Moore
Journal:  Nat Genet       Date:  1997-11       Impact factor: 38.330

6.  Adaptive evolution and effective population size in wild house mice.

Authors:  Megan Phifer-Rixey; François Bonhomme; Pierre Boursot; Gary A Churchill; Jaroslav Piálek; Priscilla K Tucker; Michael W Nachman
Journal:  Mol Biol Evol       Date:  2012-04-03       Impact factor: 16.240

7.  Serious limitations of the QTL/microarray approach for QTL gene discovery.

Authors:  Ricardo A Verdugo; Charles R Farber; Craig H Warden; Juan F Medrano
Journal:  BMC Biol       Date:  2010-07-12       Impact factor: 7.431

8.  Subspecific origin and haplotype diversity in the laboratory mouse.

Authors:  Hyuna Yang; Jeremy R Wang; John P Didion; Ryan J Buus; Timothy A Bell; Catherine E Welsh; François Bonhomme; Alex Hon-Tsen Yu; Michael W Nachman; Jaroslav Pialek; Priscilla Tucker; Pierre Boursot; Leonard McMillan; Gary A Churchill; Fernando Pardo-Manuel de Villena
Journal:  Nat Genet       Date:  2011-05-29       Impact factor: 38.330

9.  Deep resequencing of GWAS loci identifies independent rare variants associated with inflammatory bowel disease.

Authors:  Manuel A Rivas; Mélissa Beaudoin; Agnes Gardet; Christine Stevens; Yashoda Sharma; Clarence K Zhang; Gabrielle Boucher; Stephan Ripke; David Ellinghaus; Noel Burtt; Tim Fennell; Andrew Kirby; Anna Latiano; Philippe Goyette; Todd Green; Jonas Halfvarson; Talin Haritunians; Joshua M Korn; Finny Kuruvilla; Caroline Lagacé; Benjamin Neale; Ken Sin Lo; Phil Schumm; Leif Törkvist; Marla C Dubinsky; Steven R Brant; Mark S Silverberg; Richard H Duerr; David Altshuler; Stacey Gabriel; Guillaume Lettre; Andre Franke; Mauro D'Amato; Dermot P B McGovern; Judy H Cho; John D Rioux; Ramnik J Xavier; Mark J Daly
Journal:  Nat Genet       Date:  2011-10-09       Impact factor: 38.330

10.  Use of a dense single nucleotide polymorphism map for in silico mapping in the mouse.

Authors:  Mathew T Pletcher; Philip McClurg; Serge Batalov; Andrew I Su; S Whitney Barnes; Erica Lagler; Ron Korstanje; Xiaosong Wang; Deborah Nusskern; Molly A Bogue; Richard J Mural; Beverly Paigen; Tim Wiltshire
Journal:  PLoS Biol       Date:  2004-11-09       Impact factor: 8.029

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  95 in total

1.  Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice.

Authors:  L J Sittig; P Carbonetto; K A Engel; K S Krauss; A A Palmer
Journal:  Genes Brain Behav       Date:  2016-01-08       Impact factor: 3.449

Review 2.  QTL mapping in outbred populations: successes and challenges.

Authors:  Leah C Solberg Woods
Journal:  Physiol Genomics       Date:  2013-12-10       Impact factor: 3.107

3.  High-resolution mapping of cis-regulatory variation in budding yeast.

Authors:  Ryosuke Kita; Sandeep Venkataram; Yiqi Zhou; Hunter B Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-28       Impact factor: 11.205

4.  Association of Nrf2 polymorphism haplotypes with acute lung injury phenotypes in inbred strains of mice.

Authors:  Hye-Youn Cho; Anne E Jedlicka; Wesley Gladwell; Jacqui Marzec; Zackary R McCaw; Rachelle J Bienstock; Steven R Kleeberger
Journal:  Antioxid Redox Signal       Date:  2014-11-12       Impact factor: 8.401

5.  Efficient and Accurate Multiple-Phenotype Regression Method for High Dimensional Data Considering Population Structure.

Authors:  Jong Wha J Joo; Eun Yong Kang; Elin Org; Nick Furlotte; Brian Parks; Farhad Hormozdiari; Aldons J Lusis; Eleazar Eskin
Journal:  Genetics       Date:  2016-10-21       Impact factor: 4.562

Review 6.  Dissecting the Genetics of Osteoporosis using Systems Approaches.

Authors:  Basel M Al-Barghouthi; Charles R Farber
Journal:  Trends Genet       Date:  2018-11-20       Impact factor: 11.639

7.  Tpcn2 knockout mice have improved insulin sensitivity and are protected against high-fat diet-induced weight gain.

Authors:  Hong He; Katie Holl; Sarah DeBehnke; Chay Teng Yeo; Polly Hansen; Abraham K Gebre; Sandra Leone-Kabler; Margarida Ruas; John S Parks; John Parrington; Leah C Solberg Woods
Journal:  Physiol Genomics       Date:  2018-05-11       Impact factor: 3.107

8.  Commensal Neisseria Kill Neisseria gonorrhoeae through a DNA-Dependent Mechanism.

Authors:  Won Jong Kim; Dustin Higashi; Maira Goytia; Maria A Rendón; Michelle Pilligua-Lucas; Matthew Bronnimann; Jeanine A McLean; Joseph Duncan; David Trees; Ann E Jerse; Magdalene So
Journal:  Cell Host Microbe       Date:  2019-08-01       Impact factor: 21.023

9.  Mapping genetic contributions to cardiac pathology induced by Beta-adrenergic stimulation in mice.

Authors:  Christoph D Rau; Jessica Wang; Rozeta Avetisyan; Milagros C Romay; Lisa Martin; Shuxun Ren; Yibin Wang; Aldons J Lusis
Journal:  Circ Cardiovasc Genet       Date:  2014-12-05

Review 10.  Deconstructing Mus gemischus: advances in understanding ancestry, structure, and variation in the genome of the laboratory mouse.

Authors:  John P Didion; Fernando Pardo-Manuel de Villena
Journal:  Mamm Genome       Date:  2012-12-09       Impact factor: 2.957

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