Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets

Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets

Background: In the last decade, Genome-wide Association studies (GWASs) have contributed to decoding the human genome by uncovering many genetic variations associated with various diseases. Many follow-up investigations involve joint analysis of multiple independently generated GWAS data sets. While...

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Bibliographic Details
Main Authors: Bahar, I. (Author), Pei, F. (Author), Vanyukov, M.M (Author), Wang, H. (Author), Wu, W. (Author), Xing, E.P (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
biological model
Computational approach
Deconfounding
Genetic analysis
Genetic variation
Genome-wide association studies
genome-wide association study
Genome-Wide Association Study
human
Humans
Individual levels
Joint analysis
Mixed model
Models, Genetic
phenotype
Phenotype
Polymorphism, Single Nucleotide
Population statistics
Population stratification
Real data analysis
single nucleotide polymorphism
software
Software
Summary statistic
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