Return
Reference-based phasing using the Haplotype Reference Consortium panel
DOI:10.1038/ng.3679.png)
Abstract
En 中文
Haplotype phasing is a fundamental problem in medical and population genetics. Phasing is generally performed via statistical phasing in a genotyped cohort, an approach that can yield high accuracy in very large cohorts but attains lower accuracy in smaller cohorts. Here we instead explore the paradigm of reference-based phasing. We introduce a new phasing algorithm, Eagle2, that attains high accuracy across a broad range of cohort sizes by efficiently leveraging information from large external reference panels (such as the Haplotype Reference Consortium; HRC) using a new data structure based on the positional Burrows-Wheeler transform. We demonstrate that Eagle2 attains a similar to 20x speedup and similar to 10% increase in accuracy compared to reference-based phasing using SHAPEIT2. On European ancestry samples, Eagle2 with the HRC panel achieves >2x the accuracy of 1000 Genomes-based phasing. Eagle2 is open source and freely available for HRC-based phasing via the Sanger Imputation Service and the Michigan Imputation Server.
Keywords:
GENETIC EPIDEMIOLOGY RESEARCH
GENOTYPE IMPUTATION
LINKAGE DISEQUILIBRIUM
ADULT HEALTH
INFERENCE
RECONSTRUCTION
ASSOCIATION
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
40
Papers:
1.0W
Citations:
10.5W
Organization
Cited Papers
Characterizing Race/Ethnicity and Genetic Ancestry for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort
GENETICS
IF5.1
Removal of fluoride by nature diatomite from high-fluorine water: An appropriate pretreatment for nanofiltration process
Desalination
IF0
Genotyping Informatics and Quality Control for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort
GENETICS
IF5.1

