Literature DB >> 21076502

Statistical genetic issues for genome-wide association studies.

Bruce S Weir1.   

Abstract

Genotyping technology now allows the rapid and affordable generation of million-SNP profiles for humans, leading to considerable activity in association mapping. Similar activity is anticipated for many plant species, including Brassica. These plant association mapping activities will require the same care in quality control and quality assurance as for humans. The subsequent analyses may draw upon the same body of theory that is described here in the language of quantitative genetics.

Entities:  

Mesh：

Year:  2010        PMID： 21076502      PMCID： PMC4686343          DOI： 10.1139/G10-062

Source DB:  PubMed          Journal:  Genome        ISSN： 0831-2796            Impact factor:   2.166


  39 in total

Review 1.  Accessing genetic variation: genotyping single nucleotide polymorphisms.

Authors:  A C Syvänen
Journal:  Nat Rev Genet       Date:  2001-12       Impact factor: 53.242

2.  Genomic control for association studies.

Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

3.  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

4.  New models of collaboration in genome-wide association studies: the Genetic Association Information Network.

Authors:  Teri A Manolio; Laura Lyman Rodriguez; Lisa Brooks; Gonçalo Abecasis; Dennis Ballinger; Mark Daly; Peter Donnelly; Stephen V Faraone; Kelly Frazer; Stacey Gabriel; Pablo Gejman; Alan Guttmacher; Emily L Harris; Thomas Insel; John R Kelsoe; Eric Lander; Norma McCowin; Matthew D Mailman; Elizabeth Nabel; James Ostell; Elizabeth Pugh; Stephen Sherry; Patrick F Sullivan; John F Thompson; James Warram; David Wholley; Patrice M Milos; Francis S Collins
Journal:  Nat Genet       Date:  2007-09       Impact factor: 38.330

5.  Appropriate data cleaning methods for genome-wide association study.

Authors:  Taku Miyagawa; Nao Nishida; Jun Ohashi; Ryosuke Kimura; Akihiro Fujimoto; Minae Kawashima; Asako Koike; Tsukasa Sasaki; Hisashi Tanii; Takeshi Otowa; Yoshio Momose; Yasuo Nakahara; Jun Gotoh; Yuji Okazaki; Shoji Tsuji; Katsushi Tokunaga
Journal:  J Hum Genet       Date:  2008-08-12       Impact factor: 3.172

6.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

7.  Quality control and quality assurance in genotypic data for genome-wide association studies.

Authors:  Cathy C Laurie; Kimberly F Doheny; Daniel B Mirel; Elizabeth W Pugh; Laura J Bierut; Tushar Bhangale; Frederick Boehm; Neil E Caporaso; Marilyn C Cornelis; Howard J Edenberg; Stacy B Gabriel; Emily L Harris; Frank B Hu; Kevin B Jacobs; Peter Kraft; Maria Teresa Landi; Thomas Lumley; Teri A Manolio; Caitlin McHugh; Ian Painter; Justin Paschall; John P Rice; Kenneth M Rice; Xiuwen Zheng; Bruce S Weir
Journal:  Genet Epidemiol       Date:  2010-09       Impact factor: 2.135

8.  Case-control association testing in the presence of unknown relationships.

Authors:  Yoonha Choi; Ellen M Wijsman; Bruce S Weir
Journal:  Genet Epidemiol       Date:  2009-12       Impact factor: 2.135

9.  Population structure and eigenanalysis.

Authors:  Nick Patterson; Alkes L Price; David Reich
Journal:  PLoS Genet       Date:  2006-12       Impact factor: 5.917

10.  AutoSNPdb: an annotated single nucleotide polymorphism database for crop plants.

Authors:  Chris Duran; Nikki Appleby; Terry Clark; David Wood; Michael Imelfort; Jacqueline Batley; David Edwards
Journal:  Nucleic Acids Res       Date:  2008-10-14       Impact factor: 16.971
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  2 in total

1.  Genome-Wide Association Study of Soybean Germplasm Derived From Canadian × Chinese Crosses to Mine for Novel Alleles to Improve Seed Yield and Seed Quality Traits.

Authors:  Chanditha Priyanatha; Davoud Torkamaneh; Istvan Rajcan
Journal:  Front Plant Sci       Date:  2022-03-28       Impact factor: 5.753

2.  Linkage disequilibrium, SNP frequency change due to selection, and association mapping in popcorn chromosome regions containing QTLs for quality traits.

Authors:  Geísa Pinheiro Paes; José Marcelo Soriano Viana; Fabyano Fonseca E Silva; Gabriel Borges Mundim
Journal:  Genet Mol Biol       Date:  2016-03       Impact factor: 1.771
  2 in total

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