Literature DB >> 26568630

PAPA: a flexible tool for identifying pleiotropic pathways using genome-wide association study summaries.

Yan Wen1, Wenyu Wang1, Xiong Guo1, Feng Zhang1.   

Abstract

UNLABELLED: : Pleiotropy is common in the genetic architectures of complex diseases. To the best of our knowledge, no analysis tool has been developed for identifying pleiotropic pathways using multiple genome-wide association study (GWAS) summaries by now. Here, we present PAPA, a flexible tool for pleiotropic pathway analysis utilizing GWAS summary results. The performance of PAPA was validated using publicly available GWAS summaries of body mass index and waist-hip ratio of the GIANT datasets. PAPA identified a set of pleiotropic pathways, which have been demonstrated to be involved in the development of obesity.
AVAILABILITY AND IMPLEMENTATION: PAPA program, document and illustrative example are available at http://sourceforge.net/projects/papav1/files/ CONTACT: : fzhxjtu@mail.xjtu.edu.cn SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 26568630     DOI: 10.1093/bioinformatics/btv668

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

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3.  Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.

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5.  Integrative analysis of GWAS, eQTLs and meQTLs data suggests that multiple gene sets are associated with bone mineral density.

Authors:  W Wang; S Huang; W Hou; Y Liu; Q Fan; A He; Y Wen; J Hao; X Guo; F Zhang
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  5 in total

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