Literature DB >> 21647556

Multiple phenotypes in genome-wide genetic mapping studies.

Jurg Ott1, Jing Wang.   

Abstract

For many psychiatric and other traits, diagnoses are based on a number of different criteria or phenotypes. Rather than carrying out genetic analyses on the final diagnosis, it has been suggested that relevant phenotypes should be analyzed directly. We provide an overview of statistical methods for the joint analysis of multiple phenotypes in case-control association studies.

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Year:  2011        PMID: 21647556      PMCID: PMC4875235          DOI: 10.1007/s13238-011-1059-5

Source DB:  PubMed          Journal:  Protein Cell        ISSN: 1674-800X            Impact factor:   14.870


  17 in total

1.  Controlling the false discovery rate in behavior genetics research.

Authors:  Y Benjamini; D Drai; G Elmer; N Kafkafi; I Golani
Journal:  Behav Brain Res       Date:  2001-11-01       Impact factor: 3.332

2.  Association of genetic loci: replication or not, that is the question.

Authors:  Jurg Ott
Journal:  Neurology       Date:  2004-09-28       Impact factor: 9.910

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.  Estimation of the multiple testing burden for genomewide association studies of nearly all common variants.

Authors:  Itsik Pe'er; Roman Yelensky; David Altshuler; Mark J Daly
Journal:  Genet Epidemiol       Date:  2008-05       Impact factor: 2.135

5.  Multiple phenotype modeling in gene-mapping studies of quantitative traits: power advantages.

Authors:  D B Allison; B Thiel; P St Jean; R C Elston; M C Infante; N J Schork
Journal:  Am J Hum Genet       Date:  1998-10       Impact factor: 11.025

6.  Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results.

Authors:  E Lander; L Kruglyak
Journal:  Nat Genet       Date:  1995-11       Impact factor: 38.330

Review 7.  Deconstructing schizophrenia: an overview of the use of endophenotypes in order to understand a complex disorder.

Authors:  David L Braff; Robert Freedman; Nicholas J Schork; Irving I Gottesman
Journal:  Schizophr Bull       Date:  2006-11-06       Impact factor: 9.306

8.  Genetic determinants of diastolic and pulse pressure map to different loci in Lyon hypertensive rats.

Authors:  C Dubay; M Vincent; N J Samani; P Hilbert; M A Kaiser; J P Beressi; Y Kotelevtsev; J S Beckmann; F Soubrier; J Sassard
Journal:  Nat Genet       Date:  1993-04       Impact factor: 38.330

9.  DRD4 promoter SNPs and gender effects on Extraversion in African Americans.

Authors:  E B Bookman; R E Taylor; L Adams-Campbell; R A Kittles
Journal:  Mol Psychiatry       Date:  2002       Impact factor: 15.992

10.  Population structure and eigenanalysis.

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

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  5 in total

Review 1.  Genetic linkage analysis in the age of whole-genome sequencing.

Authors:  Jurg Ott; Jing Wang; Suzanne M Leal
Journal:  Nat Rev Genet       Date:  2015-03-31       Impact factor: 53.242

2.  No association between CTNNBL1 and episodic memory performance.

Authors:  T Liu; S-C Li; G Papenberg; J Schröder; J T Roehr; W Nietfeld; U Lindenberger; L Bertram
Journal:  Transl Psychiatry       Date:  2014-09-30       Impact factor: 6.222

3.  Genome-wide association study for multiple phenotype analysis.

Authors:  Xuan Deng; Biqi Wang; Virginia Fisher; Gina Peloso; Adrienne Cupples; Ching-Ti Liu
Journal:  BMC Proc       Date:  2018-09-17

4.  Analysis of multiple phenotypes in genome-wide genetic mapping studies.

Authors:  Chen Suo; Timothea Toulopoulou; Elvira Bramon; Muriel Walshe; Marco Picchioni; Robin Murray; Jurg Ott
Journal:  BMC Bioinformatics       Date:  2013-05-02       Impact factor: 3.169

5.  Methods and results from the genome-wide association group at GAW20.

Authors:  Xuexia Wang; Felix Boekstegers; Regina Brinster
Journal:  BMC Genet       Date:  2018-09-17       Impact factor: 2.797

  5 in total

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