Extracting complementary insights from molecular phenotypes for prioritization of disease-associated mutations-Reference-Cited by-同舟云学术

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Extracting complementary insights from molecular phenotypes for prioritization of disease-associated mutations

Published:2018-10 Issue: Volume:11 Page:107-116
ISSN:2452-3100
Container-title:Current Opinion in Systems Biology
language:en
Short-container-title:Current Opinion in Systems Biology

Author:

Wierbowski Shayne D.,Fragoza Robert,Liang Siqi,Yu Haiyuan

Funder

National Institute of General Medical Sciences

Eunice Kennedy Shriver National Institute of Child Health and Human Development

National Human Genome Research Institute

National Science Foundation

Simons Foundation Autism Research Initiative

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Science Applications,Drug Discovery,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation

Reference102 articles.

1. Personal genome sequencing: current approaches and challenges;Snyder;Genes Dev,2010

2. An integrated map of genetic variation from 1,092 human genomes;The 1000 Genomes Project Consortium;Nature,2012

3. Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants;Fu;Nature,2013

4. The human gene mutation database: 2008 update;Stenson;Genome Med,2009

5. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits;Hindorff;Proc Natl Acad Sci Unit States Am,2009

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