Tissue-specific pathway association analysis using genome-wide association study summaries

نویسندگان

  • Wenyu Wang
  • Jingcan Hao
  • Shuyu Zheng
  • Qianrui Fan
  • Awen He
  • Yan Wen
  • Xiong Guo
  • Cuiyan Wu
  • Sen Wang
  • Tielin Yang
  • Hui Shen
  • Xiangding Chen
  • Qing Tian
  • Lijun Tan
  • Hong-Wen Deng
  • Feng Zhang
چکیده

MOTIVATION Pathway association analysis has made great achievements in elucidating the genetic basis of human complex diseases. However, current pathway association analysis approaches fail to consider tissue-specificity. RESULTS We developed a tissue-specific pathway interaction enrichment analysis algorithm (TPIEA). TPIEA was applied to two large Caucasian and Chinese genome-wide association study summary datasets of bone mineral density (BMD). TPIEA identified several significant pathways for BMD [false discovery rate (FDR) < 0.05], such as KEGG FOCAL ADHESION and KEGG AXON GUIDANCE, which had been demonstrated to be involved in the development of osteoporosis. We also compared the performance of TPIEA and classical pathway enrichment analysis, and TPIEA presented improved performance in recognizing disease relevant pathways. TPIEA may help to fill the gap of classic pathway association analysis approaches by considering tissue specificity. AVAILABILITY AND IMPLEMENTATION The online web tool of TPIEA is available at https://sourceforge.net/projects/tpieav1/files CONTACT: [email protected] information: Supplementary data are available at Bioinformatics online.

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عنوان ژورنال:
  • Bioinformatics

دوره 33 2  شماره 

صفحات  -

تاریخ انتشار 2017