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Haplotype estimation for biobank-scale data sets

delete2016-06-06
delete130
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OA
AI
J
Jared O’Connell
K
Kevin Sharp
N
Nick Shrine
L
Louise V. Wain
I
Ian P. Hall
M
Martin D. Tobin
J
Jean‐François Zagury
O
Olivier Delaneau
J
Jonathan Marchini *
DOI:10.1038/ng.3583delete
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摘要

摘要

En 中文
The UK Biobank (UKB) has recently released genotypes on 152,328 individuals together with extensive phenotypic and lifestyle information. We present a new phasing method, SHAPEIT3, that can handle such biobank-scale data sets and results in switch error rates as low as similar to 0.3%. The method exhibits O(NlogN) scaling with sample size N, enabling fast and accurate phasing of even larger cohorts.
Keyword:
GENOTYPE IMPUTATION
ASSOCIATION
DISEASE
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期刊

Nature Reviews Endocrinology 封面图
Nature Reviews Endocrinology
IF:
40
论文数:
1.0W
被引数:
10.5W

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hesam universite
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University of Nottingham
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university of leicester
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university of oxford
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Wellcome Centre for Human Genetics
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