Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect-Reference-Cited by-同舟云学术

Composite kernel machine regression based on likelihood ratio test for joint testing of genetic and gene–environment interaction effect

Published:2019-03-30 Issue:2 Volume:75 Page:625-637
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Zhao Ni¹^ORCID,Zhang Haoyu¹,Clark Jennifer J.²,Maity Arnab³,Wu Michael C.⁴

Affiliation:

1. Department of BiostatisticsJohns Hopkins UniversityBaltimore, Maryland

2. Department of BiostatisticsUniversity of North Carolina at Chapel HillChapel Hill, North Carolina

3. Department of StatisticsNorth Carolina State UniversityRaleigh, North Carolina

4. Public Health Sciences Division,Fred Hutchinson Cancer Research CenterSeattle, Washington

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13003

Reference56 articles.

1. Cannabinoid Receptor Genotype Moderation of the Effects of Childhood Physical Abuse on Anhedonia and Depression

2. Testing the Robustness of the Likelihood-Ratio Test in a Variance-Component Quantitative-Trait Loci–Mapping Procedure

3. A haplotype map of the human genome

4. Depression in Parkinson's disease is related to a genetic polymorphism of the cannabinoid receptor gene (CNR1)

5. Influence of Child Abuse on Adult Depression

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