Longitudinal Data Analysis for Genetic Studies in the Whole-Genome Sequencing Era-Reference-Cited by-同舟云学术

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Longitudinal Data Analysis for Genetic Studies in the Whole-Genome Sequencing Era

Published:2014-08-11 Issue:S1 Volume:38 Page:S74-S80
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Wu Zheyang¹,Hu Yijuan²,Melton Phillip E.³

Affiliation:

1. Department of Mathematical Sciences; Worcester Polytechnic Institute; Worcester Massachusetts United States of America

2. Department of Biostatistics and Bioinformatics; Emory University; Atlanta Georgia United States of America

3. Centre for Genetic Origins of Health and Disease; University of Western Australia; Crawley Australia

Funder

National Institutes of Health

National Institute of General Medical Sciences

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Reference25 articles.

1. Data for Genetic Analysis Workshop 18: human whole-genome sequence, blood pressure, and simulated phenotypes in extended pedigrees;Almasy;BMC Proc,2014

2. A multi-level model for analyzing whole genome sequencing family data with longitudinal traits;Chen;BMC Proc,2014

3. Mixed-effects models for GAW18 longitudinal blood pressure data;Chung;BMC Proc,2014

4. A dynamic model for genome-wide association studies;Das;Hum Genet,2011

5. Nonparametric methods to predict HIV drug susceptibility phenotype from genotype;DiRienzo;Stat Med,2003

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