Name
Abstract | ||
|---|---|---|
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis. We also look forward to the future beyond GWAS. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1371/journal.pcbi.1002822 | PLOS COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
population genetics,phenotype,alleles,human genetics,genome wide association study,genome wide association studies,genetic linkage,genetic variation,meta analysis,haplotypes | Human genetics,Genetic architecture,Candidate gene,Biology,Genetic variation,Genetic epidemiology,Genome-wide association study,Genetic association,Human genetic variation,Bioinformatics,Genetics | Journal |
Volume | Issue | Citations |
8 | 12 | 30 |
PageRank | References | Authors |
2.46 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| William S. Bush | 1 | 161 | 18.45 |
| Jason H. Moore | 2 | 1223 | 159.43 |