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Reference-based phasing using the Haplotype Reference Consortium panel

delete2016-10-03
delete1.1K
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P
Po‐Ru Loh *
P
Petr Danecek
P
Pier Francesco Palamara
C
Christian Fuchsberger
Y
Yakir Reshef
H
Hilary K. Finucane
S
Schönherr, S
L
Lukas Forer
S
Shane McCarthy
G
Gonçalo R. Abecasis
R
Richard Durbin
A
Alkes L. Price
DOI:10.1038/ng.3679delete
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Abstract

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
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Journal

Nature Reviews Endocrinology cover
Nature Reviews Endocrinology
IF:
40
Papers:
1.0W
Citations:
10.5W

Organization

H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
B
Broad Institute
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5.7K
Papers: 3.3K
Citations: 4.0W
W
wellcome trust sanger institute
Scholars:
6.9K
Papers: 4.3K
Citations: 17
U
university of michigan system
Scholars:
9.1W
Papers: 8.6W
Citations: 133
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