AI Article Synopsis

  • The Haplotype Reference Consortium (HRC) recently launched an imputation panel that enhances the accuracy of genetic variant imputation, particularly for low-frequency variants.
  • A study compared genotypes from an exome array with imputed data from both HRC and the 1000 Genomes Project (1000GP) and found HRC imputation significantly improved concordance, especially for rare variants.
  • Additionally, a genome-wide association meta-analysis on glaucoma-related traits revealed that HRC imputation resulted in better P values and identified eight significant loci compared to seven from 1000GP, showcasing the potential for new gene discovery.

Article Abstract

Recently, the Haplotype Reference Consortium (HRC) released a large imputation panel that allows more accurate imputation of genetic variants. In this study, we compared a set of directly assayed common and rare variants from an exome array to imputed genotypes, that is, 1000 genomes project (1000GP) and HRC. We showed that imputation using the HRC panel improved the concordance between assayed and imputed genotypes at common, and especially, low-frequency variants. Furthermore, we performed a genome-wide association meta-analysis of vertical cup-disc ratio, a highly heritable endophenotype of glaucoma, in four cohorts using 1000GP and HRC imputations. We compared the results of the meta-analysis using 1000GP to the meta-analysis results using HRC. Overall, we found that using HRC imputation significantly improved P values (P = 3.07 × 10 ), particularly for suggestive variants. Both meta-analyses were performed in the same sample size, yet we found eight genome-wide significant loci in the HRC-based meta-analysis versus seven genome-wide significant loci in the 1000GP-based meta-analysis. This study provides supporting evidence of the new avenues for gene discovery and fine mapping that the HRC imputation panel offers.

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Source
http://dx.doi.org/10.1002/humu.23247DOI Listing

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