Enhanced methods to detect haplotypic effects on gene expression-Reference-Cited by-同舟云学术

Enhanced methods to detect haplotypic effects on gene expression

Published:2017-03-22 Issue:15 Volume:33 Page:2307-2313
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Brown Robert¹,Kichaev Gleb¹,Mancuso Nicholas²,Boocock James¹,Pasaniuc Bogdan¹²³

Affiliation:

1. Bioinformatics IDP, University of California Los Angeles, Los Angeles, CA, USA

2. Department of Pathology and Laboratory Medicine, University of California Los Angeles, Los Angeles, CA, USA

3. Department of Human Genetics, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/15/2307/25157939/btx142.pdf

Reference41 articles.

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2. Genotype Imputation with Millions of Reference Samples;Browning;Am. J. Hum. Genet,2016

3. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering;Browning;Am. J. Hum. Genet,2007

4. Gene-gene and gene-environment interactions detected by transcriptome sequence analysis in twins;Buil;Nat. Gene,2015

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