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Activity Number: 300 - Gene-Gene and Gene-Environment Interactions
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #322727 View Presentation
Title: Quick and Easy Analysis of Quantitative Traits for Genome-Wide Association and Interaction Studies
Author(s): Shin-Fu Tsai*
Companies: National Taiwan University
Keywords: genome-wide association study ; parallel computing ; quantitative trait ; single nucleotide polymorphism
Abstract:

Understanding the genetic basis of biological traits is critical for improving the yield and quality of staple crops. Recently, genome-wide association studies (GWAS) have become prevalent tools for exploring important effects of genetic variants, typically the single nucleotide polymorphisms (SNPs), on biological traits. For detecting all non-negligible SNP main effects and SNP-SNP interactions, it is rather challenging to conduct an exhaustive scan, primarily due to the large number of SNPs considered. In this talk, I will introduce a new statistical method for whole-genome association and interaction studies. A noteworthy feature of the proposed method is that once the phenotypic variance is quantified, it can be repeatedly used throughout the whole-genome data analysis, then the computational cost is reduced significantly. I will show some analysis results on an Asian rice (Oryza sativa) genome dataset to demonstrate that the proposed method is a promising alternative.


Authors who are presenting talks have a * after their name.

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