A system for identifying QTL candidate genes in livestock using published microarray data

2015 Fiscal Year Final Research Report

• Project/Area Number: 25850185
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Animal production science
• Research Institution: Kyoto University
• Principal Investigator: Matsuda Hirokazu 京都大学, (連合)農学研究科(研究院), 助教 (30597810)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: QTL候補遺伝子 / 公共データベース / 網羅的遺伝子発現データ

Outline of Final Research Achievements

In model organisms, high quality of gene annotation is available and it is possible to quickly identify candidate genes for the quantitative trait of interest. But its use is restricted in livestock due to poor annotation. Recently, microarray and next-generation sequencing technologies have generated high-throughput gene expression data that are collected in public database for multiple species. This study develops a system for identifying QTL candidate genes in livestock using published microarray data. Here, focusing on mouse and cattle, we investigated the usefulness of current system for predicting phenotypes and estimating a reliable gene network.

Free Research Field

動物遺伝育種