4.4 Review Book Chapter

Genotype Imputation

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ANNUAL REVIEWS
DOI: 10.1146/annurev.genom.9.081307.164242

关键词

whole genome association study; resequencing; association study; HapMap; 1000 Genomes Project

资金

  1. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [U01HL084729] Funding Source: NIH RePORTER
  2. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG002651] Funding Source: NIH RePORTER
  3. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH084698] Funding Source: NIH RePORTER
  4. NHGRI NIH HHS [R01 HG002651, R01 HG002651-01, HG-2651] Funding Source: Medline
  5. NHLBI NIH HHS [U01 HL084729-01, HL-84729, U01 HL084729] Funding Source: Medline
  6. NIMH NIH HHS [MH-84698, R01 MH084698-01, R01 MH084698] Funding Source: Medline

向作者/读者索取更多资源

Genotype imputation is now an essential tool in the analysis of genome-wide association scans. This technique allows geneticists to accurately evaluate the evidence for association at genetic markers that are not directly genotyped. Genotype imputation is particularly useful for combining results across studies that rely on different genotyping platforms but also increases the power of individual scans. Here, we review the history and theoretical underpinnings of the technique. To illustrate performance of the approach, we summarize results from several gene mapping studies. Finally, we preview the role of genotype imputation in an era when whole genome resequencing is becoming increasingly common.

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