iWAS - A novel approach to analyzing Next Generation Sequence data for immunology
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- 作者：Benjamin Vincenta ; 1 ; benjamin.g.vincent@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Adam Buntzmanb ; 1 ; buntzman@deptofmed.arizona.edu" class="auth_mail" title="E-mail the corresponding author ; Benjamin Hopsonc ; d ; 2 ; ben.hopson@cambridgeconsultants.com" class="auth_mail" title="E-mail the corresponding author ; Chris McEwend ; chris.mcewan@cambridgeconsultants.com" class="auth_mail" title="E-mail the corresponding author ; Lindsay Cowelle ; Lindsay.Cowell@utsouthwestern.edu" class="auth_mail" title="E-mail the corresponding author ; Ali Akogluf ; akoglu@email.arizona.edu" class="auth_mail" title="E-mail the corresponding author ; Helen Zhangg ; hzhang@math.arizona.edu" class="auth_mail" title="E-mail the corresponding author ; Jeffrey Frelingerb ; jfrelin@email.arizona.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Immune receptors ; Repertoire ; V(D)J recombination ; Association study
- 刊名：Cellular Immunology
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：299
- 期：Complete
- 页码：6-13
- 全文大小：466 K
文摘
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Adaptive immune receptors (Ig/TCR) genetics rarely assessed in Genome Wide Association Studies.
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immunome Wide Association Studies (iWAS) of Ig/TCR data can reveal immune genetic contributions.
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iWAS shows enzyme proxy model correlates with TCR sharing.