Literature DB >> 23424122

PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY.

Oliver Stegle1, Steven E Brenner, Quaid Morris, Jennifer Listgarten.   

Abstract

Entities:  

Year:  2013        PMID： 23424122      PMCID： PMC5894351     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN： 2335-6928


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  12 in total

1.  Statistical significance for genomewide studies.

Authors:  John D Storey; Robert Tibshirani
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-25       Impact factor: 11.205

2.  Correction for hidden confounders in the genetic analysis of gene expression.

Authors:  Jennifer Listgarten; Carl Kadie; Eric E Schadt; David Heckerman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-01       Impact factor: 11.205

3.  Stratified false discovery control for large-scale hypothesis testing with application to genome-wide association studies.

Authors:  Lei Sun; Radu V Craiu; Andrew D Paterson; Shelley B Bull
Journal:  Genet Epidemiol       Date:  2006-09       Impact factor: 2.135

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.  Mixed linear model approach adapted for genome-wide association studies.

Authors:  Zhiwu Zhang; Elhan Ersoz; Chao-Qiang Lai; Rory J Todhunter; Hemant K Tiwari; Michael A Gore; Peter J Bradbury; Jianming Yu; Donna K Arnett; Jose M Ordovas; Edward S Buckler
Journal:  Nat Genet       Date:  2010-03-07       Impact factor: 38.330

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.  A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies.

Authors:  Oliver Stegle; Leopold Parts; Richard Durbin; John Winn
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

8.  An integrative method for scoring candidate genes from association studies: application to warfarin dosing.

Authors:  Nicholas P Tatonetti; Joel T Dudley; Hersh Sagreiya; Atul J Butte; Russ B Altman
Journal:  BMC Bioinformatics       Date:  2010-10-28       Impact factor: 3.169

9.  Joint genetic analysis of gene expression data with inferred cellular phenotypes.

Authors:  Leopold Parts; Oliver Stegle; John Winn; Richard Durbin
Journal:  PLoS Genet       Date:  2011-01-20       Impact factor: 5.917

10.  Learning a prior on regulatory potential from eQTL data.

Authors:  Su-In Lee; Aimée M Dudley; David Drubin; Pamela A Silver; Nevan J Krogan; Dana Pe'er; Daphne Koller
Journal:  PLoS Genet       Date:  2009-01-30       Impact factor: 5.917
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