Literature DB >> 22669648

Improved linear mixed models for genome-wide association studies.

Jennifer Listgarten, Christoph Lippert, Carl M Kadie, Robert I Davidson, Eleazar Eskin, David Heckerman.   

Abstract

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Year:  2012        PMID： 22669648      PMCID： PMC3597090          DOI： 10.1038/nmeth.2037

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


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  6 in total

1.  Logistic regression protects against population structure in genetic association studies.

Authors:  Efrosini Setakis; Heide Stirnadel; David J Balding
Journal:  Genome Res       Date:  2005-12-14       Impact factor: 9.043

2.  Increased accuracy of artificial selection by using the realized relationship matrix.

Authors:  B J Hayes; P M Visscher; M E Goddard
Journal:  Genet Res (Camb)       Date:  2009-02       Impact factor: 1.588

3.  Variance component model to account for sample structure in genome-wide association studies.

Authors:  Hyun Min Kang; Jae Hoon Sul; Susan K Service; Noah A Zaitlen; Sit-Yee Kong; Nelson B Freimer; Chiara Sabatti; Eleazar Eskin
Journal:  Nat Genet       Date:  2010-03-07       Impact factor: 38.330

4.  FaST linear mixed models for genome-wide association studies.

Authors:  Christoph Lippert; Jennifer Listgarten; Ying Liu; Carl M Kadie; Robert I Davidson; David Heckerman
Journal:  Nat Methods       Date:  2011-09-04       Impact factor: 28.547

5.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

6.  Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies.

Authors:  Clive J Hoggart; John C Whittaker; Maria De Iorio; David J Balding
Journal:  PLoS Genet       Date:  2008-07-25       Impact factor: 5.917
  6 in total
  137 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

2.  Genetic Diversity and Association Studies in US Hispanic/Latino Populations: Applications in the Hispanic Community Health Study/Study of Latinos.

Authors:  Matthew P Conomos; Cecelia A Laurie; Adrienne M Stilp; Stephanie M Gogarten; Caitlin P McHugh; Sarah C Nelson; Tamar Sofer; Lindsay Fernández-Rhodes; Anne E Justice; Mariaelisa Graff; Kristin L Young; Amanda A Seyerle; Christy L Avery; Kent D Taylor; Jerome I Rotter; Gregory A Talavera; Martha L Daviglus; Sylvia Wassertheil-Smoller; Neil Schneiderman; Gerardo Heiss; Robert C Kaplan; Nora Franceschini; Alex P Reiner; John R Shaffer; R Graham Barr; Kathleen F Kerr; Sharon R Browning; Brian L Browning; Bruce S Weir; M Larissa Avilés-Santa; George J Papanicolaou; Thomas Lumley; Adam A Szpiro; Kari E North; Ken Rice; Timothy A Thornton; Cathy C Laurie
Journal:  Am J Hum Genet       Date:  2016-01-07       Impact factor: 11.025

3.  BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions.

Authors:  Meng Huang; Xiaolei Liu; Yao Zhou; Ryan M Summers; Zhiwu Zhang
Journal:  Gigascience       Date:  2019-02-01       Impact factor: 6.524

4.  Linear mixed models for association analysis of quantitative traits with next-generation sequencing data.

Authors:  Chi-Yang Chiu; Fang Yuan; Bing-Song Zhang; Ao Yuan; Xin Li; Hong-Bin Fang; Kenneth Lange; Daniel E Weeks; Alexander F Wilson; Joan E Bailey-Wilson; Anthony M Musolf; Dwight Stambolian; M'Hamed Lajmi Lakhal-Chaieb; Richard J Cook; Francis J McMahon; Christopher I Amos; Momiao Xiong; Ruzong Fan
Journal:  Genet Epidemiol       Date:  2018-12-09       Impact factor: 2.135

5.  Mixed model with correction for case-control ascertainment increases association power.

Authors:  Tristan J Hayeck; Noah A Zaitlen; Po-Ru Loh; Bjarni Vilhjalmsson; Samuela Pollack; Alexander Gusev; Jian Yang; Guo-Bo Chen; Michael E Goddard; Peter M Visscher; Nick Patterson; Alkes L Price
Journal:  Am J Hum Genet       Date:  2015-04-16       Impact factor: 11.025

6.  A random forest approach to capture genetic effects in the presence of population structure.

Authors:  Johannes Stephan; Oliver Stegle; Andreas Beyer
Journal:  Nat Commun       Date:  2015-06-25       Impact factor: 14.919

7.  Accurate liability estimation improves power in ascertained case-control studies.

Authors:  Omer Weissbrod; Christoph Lippert; Dan Geiger; David Heckerman
Journal:  Nat Methods       Date:  2015-02-09       Impact factor: 28.547

8.  Age- and gender-dependent heterogeneous proportion of variation explained by SNPs in quantitative traits reflecting human health.

Authors:  Dain Lee; Chaeyoung Lee
Journal:  Age (Dordr)       Date:  2015-02-21

9.  Mixed Model Association with Family-Biased Case-Control Ascertainment.

Authors:  Tristan J Hayeck; Po-Ru Loh; Samuela Pollack; Alexander Gusev; Nick Patterson; Noah A Zaitlen; Alkes L Price
Journal:  Am J Hum Genet       Date:  2016-12-22       Impact factor: 11.025

10.  Fast Genome-Wide QTL Association Mapping on Pedigree and Population Data.

Authors:  Hua Zhou; John Blangero; Thomas D Dyer; Kei-Hang K Chan; Kenneth Lange; Eric M Sobel
Journal:  Genet Epidemiol       Date:  2016-12-12       Impact factor: 2.135
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