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초록
Multifactor dimensionality reduction (MDR) method has been widely applied to detectgene-gene interactions that are well recognized as playing an important role in understanding complex traits. However, because of an exhaustive analysis of MDR, the current MDR software has some limitations to be extended to the genome-wide association studies (GWAS) with a large number of genetic markers up to similar to 1 million. To overcome this computational problem, we developed CUDA (Compute Unified Device Architecture) based genome-wide association MDR (cuGWAM) software using efficient hardware accelerators. cuGWAM has better performance than CPU-based MDR methods and other GPU-based methods.
키워드
MDR; GWAS; GP-GPU; gene-gene interaction; parallel computing; GENE-GENE INTERACTIONS
- 제목
- cuGWAM: Genome-wide Association Multifactor Dimensionality reduction using CUDA-enabled high-performance graphics processing unit
- 저자
- Kwon, Min-Seok; Kim, Kyunga; Lee, Sungyoung; Park, Taesung
- 발행일
- 2012-09
- 유형
- Article
- 권
- 6
- 호
- 5
- 페이지
- 471 ~ 481