A comparison study of multivariate fixed models and Gene Association with Multiple Traits (GAMuT) for next-generation sequencing-Reference-Cited by-同舟云学术

A comparison study of multivariate fixed models and Gene Association with Multiple Traits (GAMuT) for next-generation sequencing

Published:2016-12-05 Issue:1 Volume:41 Page:18-34
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Chiu Chi-Yang¹,Jung Jeesun²,Wang Yifan³,Weeks Daniel E.⁴,Wilson Alexander F.⁵,Bailey-Wilson Joan E.⁵,Amos Christopher I.⁶,Mills James L.⁷,Boehnke Michael⁸,Xiong Momiao⁹,Fan Ruzong¹

Affiliation:

1. Biostatistics and Bioinformatics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health (NIH); Bethesda MD USA

2. Laboratory of Epidemiology and Biometry; National Institute on Alcohol, Abuse and Alcoholism, NIH; Bethesda MD USA

3. Center for Drug Evaluation and Research; Food and Drug Administration; Silver Spring MD USA

4. Department of Human Genetics; University of Pittsburgh; Pittsburgh PA USA

5. Computational and Statistical Genomics Branch; National Human Genome Research Institute, NIH; Bethesda MD USA

6. Department of Biomedical Data Science; Geisel School of Medicine at Dartmouth; Lebanon NH USA

7. Epidemiology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health (NIH); Bethesda MD USA

8. Department of Biostatistics, School of Public Health; The University of Michigan; Ann Arbor MI USA

9. Human Genetics Center; University of Texas-Houston; Houston TX USA

Funder

National Institute of Child Health and Human Development

National Human Genome Research Institute

National Institutes of Health

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

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3. A statistical approach for testing cross-phenotype effects of rare variants;Broadaway;American Journal of Human Genetics,2016

4. Network properties of human disease genes with pleiotropic effects;Chavali;BMC Systems Biology,2010

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