Literature DB >> 23619783

FaST-LMM-Select for addressing confounding from spatial structure and rare variants.

Jennifer Listgarten, Christoph Lippert, David Heckerman.   

Abstract

Mesh：

Year:  2013        PMID： 23619783     DOI： 10.1038/ng.2620

Source DB:  PubMed          Journal:  Nat Genet        ISSN： 1061-4036            Impact factor:   38.330


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  8 in total

1.  Genomic control for association studies.

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

2.  Improved linear mixed models for genome-wide association studies.

Authors:  Jennifer Listgarten; Christoph Lippert; Carl M Kadie; Robert I Davidson; Eleazar Eskin; David Heckerman
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

3.  A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.

Authors:  Jianming Yu; Gael Pressoir; William H Briggs; Irie Vroh Bi; Masanori Yamasaki; John F Doebley; Michael D McMullen; Brandon S Gaut; Dahlia M Nielsen; James B Holland; Stephen Kresovich; Edward S Buckler
Journal:  Nat Genet       Date:  2005-12-25       Impact factor: 38.330

4.  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

5.  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

6.  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

7.  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

8.  Differential confounding of rare and common variants in spatially structured populations.

Authors:  Iain Mathieson; Gil McVean
Journal:  Nat Genet       Date:  2012-02-05       Impact factor: 38.330
  8 in total
  38 in total

1.  Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model.

Authors:  Haohan Wang; Xiang Liu; Yunpeng Xiao; Ming Xu; Eric P Xing
Journal:  Methods       Date:  2018-04-27       Impact factor: 3.608

2.  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

Review 3.  Rare-variant association analysis: study designs and statistical tests.

Authors:  Seunggeung Lee; Gonçalo R Abecasis; Michael Boehnke; Xihong Lin
Journal:  Am J Hum Genet       Date:  2014-07-03       Impact factor: 11.025

4.  On the substructure controls in rare variant analysis: Principal components or variance components?

Authors:  Yiwen Luo; Arnab Maity; Michael C Wu; Chris Smith; Qing Duan; Yun Li; Jung-Ying Tzeng
Journal:  Genet Epidemiol       Date:  2017-12-26       Impact factor: 2.135

5.  Variable prediction accuracy of polygenic scores within an ancestry group.

Authors:  Hakhamanesh Mostafavi; Arbel Harpak; Ipsita Agarwal; Dalton Conley; Jonathan K Pritchard; Molly Przeworski
Journal:  Elife       Date:  2020-01-30       Impact factor: 8.140

6.  Rare nonsynonymous exonic variants in addiction and behavioral disinhibition.

Authors:  Scott I Vrieze; Shuang Feng; Michael B Miller; Brian M Hicks; Nathan Pankratz; Gonçalo R Abecasis; William G Iacono; Matt McGue
Journal:  Biol Psychiatry       Date:  2013-10-04       Impact factor: 13.382

7.  Personalized medicine: from genotypes and molecular phenotypes towards therapy- session introduction.

Authors:  Jennifer Listgarten; Oliver Stegle; Quaid Morris; Steven E Brenner; Leopold Parts
Journal:  Pac Symp Biocomput       Date:  2014

8.  Kinship Solutions for Partially Observed Multiphenotype Data.

Authors:  Lloyd T Elliott
Journal:  J Comput Biol       Date:  2020-03-10       Impact factor: 1.479

9.  Deletion of TOP3β, a component of FMRP-containing mRNPs, contributes to neurodevelopmental disorders.

Authors:  Georg Stoll; Olli P H Pietiläinen; Bastian Linder; Jaana Suvisaari; Cornelia Brosi; William Hennah; Virpi Leppä; Minna Torniainen; Samuli Ripatti; Sirpa Ala-Mello; Oliver Plöttner; Karola Rehnström; Annamari Tuulio-Henriksson; Teppo Varilo; Jonna Tallila; Kati Kristiansson; Matti Isohanni; Jaakko Kaprio; Johan G Eriksson; Olli T Raitakari; Terho Lehtimäki; Marjo-Riitta Jarvelin; Veikko Salomaa; Matthew Hurles; Hreinn Stefansson; Leena Peltonen; Patrick F Sullivan; Tiina Paunio; Jouko Lönnqvist; Mark J Daly; Utz Fischer; Nelson B Freimer; Aarno Palotie
Journal:  Nat Neurosci       Date:  2013-08-04       Impact factor: 24.884

10.  Advantages and pitfalls in the application of mixed-model association methods.

Authors:  Jian Yang; Noah A Zaitlen; Michael E Goddard; Peter M Visscher; Alkes L Price
Journal:  Nat Genet       Date:  2014-02       Impact factor: 38.330
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