Analysis of differences in human leukocyte antigen between the two Wellcome Trust Case Control Consortium control datasets

Chloe Soohyun Jang, Wanson Choi, Seungho Cook, B. Han
{"title":"Analysis of differences in human leukocyte antigen between the two Wellcome Trust Case Control Consortium control datasets","authors":"Chloe Soohyun Jang, Wanson Choi, Seungho Cook, B. Han","doi":"10.5808/gi.2019.17.3.e29","DOIUrl":null,"url":null,"abstract":"The Wellcome Trust Case Control Consortium (WTCCC) study was a large genome-wide association study that aimed to identify common variants associated with seven diseases. That study combined two control datasets (58C and UK Blood Services) as shared controls. Prior to using the combined controls, the WTCCC performed analyses to show that the genomic content of the control datasets was not significantly different. Recently, the analysis of human leukocyte antigen (HLA) genes has become prevalent due to the development of HLA imputation technology. In this project, we extended the between-control homogeneity analysis of the WTCCC to HLA. We imputed HLA information in the WTCCC control dataset and showed that the HLA content was not significantly different between the two control datasets, suggesting that the combined controls can be used as controls for HLA fine-mapping analysis based on HLA imputation.","PeriodicalId":94288,"journal":{"name":"Genomics & informatics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics & informatics","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.5808/gi.2019.17.3.e29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Wellcome Trust Case Control Consortium (WTCCC) study was a large genome-wide association study that aimed to identify common variants associated with seven diseases. That study combined two control datasets (58C and UK Blood Services) as shared controls. Prior to using the combined controls, the WTCCC performed analyses to show that the genomic content of the control datasets was not significantly different. Recently, the analysis of human leukocyte antigen (HLA) genes has become prevalent due to the development of HLA imputation technology. In this project, we extended the between-control homogeneity analysis of the WTCCC to HLA. We imputed HLA information in the WTCCC control dataset and showed that the HLA content was not significantly different between the two control datasets, suggesting that the combined controls can be used as controls for HLA fine-mapping analysis based on HLA imputation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
两组惠康基金会病例控制联盟对照数据的人白细胞抗原差异分析
Wellcome Trust病例控制联盟(WTCCC)研究是一项大型全基因组关联研究,旨在确定与七种疾病相关的常见变异。该研究将两个对照数据集(58C和英国血液服务中心)作为共享对照。在使用联合对照之前,WTCCC进行了分析,显示对照数据集的基因组内容没有显着差异。近年来,由于人类白细胞抗原(HLA)基因植入技术的发展,对人类白细胞抗原(HLA)基因的分析已成为一种流行。在本项目中,我们将WTCCC的对照间同质性分析扩展到HLA。我们在WTCCC对照数据集中输入HLA信息,结果显示两个对照数据集的HLA含量没有显著差异,提示合并后的对照可以作为基于HLA输入的HLA精细图谱分析的对照。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comparative analysis of generative LLMs for labeling entities in clinical notes. Analyzing COVID-19 progression with Markov multistage models: insights from a Korean cohort. Structural insights into antibody-based immunotherapy for hepatocellular carcinoma. DeepDoublet identifies neighboring cell-dependent gene expression. Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1