Literature DB >> 18049198

Analyses of genome-wide association scans for additional outcomes.

Peter Kraft.   

Abstract

Mesh:

Year:  2007        PMID: 18049198     DOI: 10.1097/EDE.0b013e318154c7e2

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


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  7 in total

1.  Power and type I error results for a bias-correction approach recently shown to provide accurate odds ratios of genetic variants for the secondary phenotypes associated with primary diseases.

Authors:  Jian Wang; Sanjay Shete
Journal:  Genet Epidemiol       Date:  2011-07-18       Impact factor: 2.135

2.  Using cases to strengthen inference on the association between single nucleotide polymorphisms and a secondary phenotype in genome-wide association studies.

Authors:  Huilin Li; Mitchell H Gail; Sonja Berndt; Nilanjan Chatterjee
Journal:  Genet Epidemiol       Date:  2010-07       Impact factor: 2.135

3.  Bias correction to secondary trait analysis with case-control design.

Authors:  Hua Yun Chen; Rick Kittles; Wei Zhang
Journal:  Stat Med       Date:  2012-09-17       Impact factor: 2.373

4.  Quantile Regression in the Secondary Analysis of Case-Control Data.

Authors:  Ying Wei; Xiaoyu Song; Mengling Liu; Iuliana Ionita-Laza; Joan Reibman
Journal:  J Am Stat Assoc       Date:  2016-05-05       Impact factor: 5.033

5.  Genome-wide association scans for secondary traits using case-control samples.

Authors:  Genevieve M Monsees; Rulla M Tamimi; Peter Kraft
Journal:  Genet Epidemiol       Date:  2009-12       Impact factor: 2.135

6.  An alternative hypothesis testing strategy for secondary phenotype data in case-control genetic association studies.

Authors:  Sharon M Lutz; John E Hokanson; Christoph Lange
Journal:  Front Genet       Date:  2014-07-01       Impact factor: 4.599

7.  A general semi-parametric approach to the analysis of genetic association studies in population-based designs.

Authors:  Sharon Lutz; Wai-Ki Yip; John Hokanson; Nan Laird; Christoph Lange
Journal:  BMC Genet       Date:  2013-02-28       Impact factor: 2.797

  7 in total

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