Suppr超能文献

复杂人类性状的全基因组关联研究和重测序研究中罕见基因变异的分析方法学。

Methodology for the analysis of rare genetic variation in genome-wide association and re-sequencing studies of complex human traits.

作者信息

Moutsianas Loukas, Morris Andrew P

出版信息

Brief Funct Genomics. 2014 Sep;13(5):362-70. doi: 10.1093/bfgp/elu012. Epub 2014 Jun 10.

Abstract

Genome-wide association studies have been successful in identifying common variants that impact complex human traits and diseases. However, despite this success, the joint effects of these variants explain only a small proportion of the genetic variance in these phenotypes, leading to speculation that rare genetic variation might account for much of the 'missing heritability'. Consequently, there has been an exciting period of research and development into the methodology for the analysis of rare genetic variants, typically by considering their joint effects on complex traits within the same functional unit or genomic region. In this review, we describe a general framework for modelling the joint effects of rare genetic variants on complex traits in association studies of unrelated individuals. We summarise a range of widely used association tests that have been developed from this model and provide an overview of the relative performance of these approaches from published simulation studies.

摘要

全基因组关联研究已成功识别出影响复杂人类性状和疾病的常见变异。然而,尽管取得了这一成功,但这些变异的联合效应仅解释了这些表型中一小部分的遗传变异,这引发了一种推测,即罕见遗传变异可能是大部分“缺失遗传力”的原因。因此,在罕见遗传变异分析方法的研究和开发方面出现了一个令人兴奋的时期,通常是通过考虑它们对同一功能单元或基因组区域内复杂性状的联合效应来进行。在本综述中,我们描述了一个用于在无关个体的关联研究中对罕见遗传变异对复杂性状的联合效应进行建模的通用框架。我们总结了一系列基于该模型开发的广泛使用的关联检验,并从已发表的模拟研究中概述了这些方法的相对性能。

相似文献

2
Rare variant association test with multiple phenotypes.针对多种表型的罕见变异关联测试。
Genet Epidemiol. 2017 Apr;41(3):198-209. doi: 10.1002/gepi.22021. Epub 2016 Dec 31.
3
Molecular genetic studies of complex phenotypes.复杂表型的分子遗传学研究。
Transl Res. 2012 Feb;159(2):64-79. doi: 10.1016/j.trsl.2011.08.001. Epub 2011 Aug 31.
9
Elements of 'missing heritability'.“遗传缺失”的要素。
Curr Opin Cardiol. 2012 May;27(3):197-201. doi: 10.1097/HCO.0b013e328352707d.

引用本文的文献

1
A Data Fusion Approach to Enhance Association Study in Epilepsy.一种用于加强癫痫关联研究的数据融合方法。
PLoS One. 2016 Dec 16;11(12):e0164940. doi: 10.1371/journal.pone.0164940. eCollection 2016.
2
A pathway-centric approach to rare variant association analysis.一种以通路为中心的罕见变异关联分析方法。
Eur J Hum Genet. 2016 Jan;25(1):123-129. doi: 10.1038/ejhg.2016.113. Epub 2016 Aug 31.
3
Assessing the Power of Exome Chips.评估外显子芯片的效能
PLoS One. 2015 Oct 5;10(10):e0139642. doi: 10.1371/journal.pone.0139642. eCollection 2015.
7

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验