학술논문

Fast pairwise IBD association testing in genome-wide association studies
Document Type
article
Source
Bioinformatics. 30(2)
Subject
Genetics
Autoimmune Disease
Human Genome
Algorithms
Case-Control Studies
Chromosome Mapping
Computer Simulation
Diabetes Mellitus
Type 1
Genome
Human
Genome-Wide Association Study
HLA Antigens
Humans
Polymorphism
Single Nucleotide
Quantitative Trait
Heritable
Mathematical Sciences
Biological Sciences
Information and Computing Sciences
Bioinformatics
Language
Abstract
MotivationRecently, investigators have proposed state-of-the-art Identity-by-descent (IBD) mapping methods to detect IBD segments between purportedly unrelated individuals. The IBD information can then be used for association testing in genetic association studies. One approach for this IBD association testing strategy is to test for excessive IBD between pairs of cases ('pairwise method'). However, this approach is inefficient because it requires a large number of permutations. Moreover, a limited number of permutations define a lower bound for P-values, which makes fine-mapping of associated regions difficult because, in practice, a much larger genomic region is implicated than the region that is actually associated.ResultsIn this article, we introduce a new pairwise method 'Fast-Pairwise'. Fast-Pairwise uses importance sampling to improve efficiency and enable approximation of extremely small P-values. Fast-Pairwise method takes only days to complete a genome-wide scan. In the application to the WTCCC type 1 diabetes data, Fast-Pairwise successfully fine-maps a known human leukocyte antigen gene that is known to cause the disease.AvailabilityFast-Pairwise is publicly available at: http://genetics.cs.ucla.edu/graphibd.