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单核苷酸多态性相互作用在基因关联研究中确定新信号独立性时的作用——应用于[具体内容]和支气管扩张剂反应

The Role of SNP Interactions when Determining Independence of Novel Signals in Genetic Association Studies-An Application to and Bronchodilator Response.

作者信息

Walsh Ryan, Voorhies Kirsten, McDonald Merry-Lynn, McGeachie Michael, Sordillo Joanne E, Lange Christoph, Wu Ann Chen, Lutz Sharon M

机构信息

Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA.

Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

出版信息

J Pers Med. 2021 Feb 19;11(2):145. doi: 10.3390/jpm11020145.

DOI:10.3390/jpm11020145
PMID:33669563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7922125/
Abstract

Genome-wide association studies (GWAS) play a critical role in identifying many loci for common diseases and traits. There has been a rapid increase in the number of GWAS over the past decade. As additional GWAS are being conducted, it is unclear whether a novel signal associated with the trait of interest is independent of single nucleotide polymorphisms (SNPs) in the same region that has been previously associated with the trait of interest. The general approach to determining whether the novel association is independent of previous signals is to examine the association of the novel SNP with the trait of interest conditional on the previously identified SNP and/or calculate linkage disequilibrium (LD) between the two SNPs. However, the role of epistasis and SNP by SNP interactions are rarely considered. Through simulation studies, we examined the role of SNP by SNP interactions when determining the independence of two genetic association signals. We have created an R package on Github called gxgRC to generate these simulation studies based on user input. In genetic association studies of asthma, we considered the role of SNP by SNP interactions when determining independence of signals for SNPs in the gene and bronchodilator response.

摘要

全基因组关联研究(GWAS)在识别许多常见疾病和性状的基因座方面发挥着关键作用。在过去十年中,GWAS的数量迅速增加。随着更多GWAS的开展,尚不清楚与感兴趣的性状相关的新信号是否独立于先前与感兴趣的性状相关的同一区域中的单核苷酸多态性(SNP)。确定新关联是否独立于先前信号的一般方法是在先前鉴定的SNP的条件下检查新SNP与感兴趣性状的关联和/或计算两个SNP之间的连锁不平衡(LD)。然而,上位性和SNP与SNP相互作用的作用很少被考虑。通过模拟研究,我们研究了SNP与SNP相互作用在确定两个遗传关联信号独立性时的作用。我们在Github上创建了一个名为gxgRC的R包,以根据用户输入生成这些模拟研究。在哮喘的遗传关联研究中,我们在确定基因和支气管扩张剂反应中SNP信号的独立性时考虑了SNP与SNP相互作用的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe31/7922125/e384aeb3c4c6/jpm-11-00145-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe31/7922125/e384aeb3c4c6/jpm-11-00145-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe31/7922125/e384aeb3c4c6/jpm-11-00145-g001.jpg

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本文引用的文献

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A Novel Approach to Detecting Epistasis using Random Sampling Regularisation.基于随机抽样正则化的上位性检测新方法
IEEE/ACM Trans Comput Biol Bioinform. 2020 Sep-Oct;17(5):1535-1545. doi: 10.1109/TCBB.2019.2948330. Epub 2019 Oct 21.
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Discovering genetic interactions bridging pathways in genome-wide association studies.发现全基因组关联研究中连接途径的遗传相互作用。
Nat Commun. 2019 Sep 19;10(1):4274. doi: 10.1038/s41467-019-12131-7.
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Imperfect Linkage Disequilibrium Generates Phantom Epistasis (& Perils of Big Data).
不完全连锁不平衡产生虚假的上位性(&大数据的危险)。
G3 (Bethesda). 2019 May 7;9(5):1429-1436. doi: 10.1534/g3.119.400101.
4
Longitudinal analysis of bronchodilator response in asthmatics and effect modification of age-related trends by genotype.哮喘患者支气管扩张剂反应的纵向分析及基因型对年龄相关趋势的影响修饰。
Pediatr Pulmonol. 2019 Feb;54(2):158-164. doi: 10.1002/ppul.24219. Epub 2018 Dec 25.
5
Immediate bronchodilator response in FEV as a diagnostic criterion for adult asthma.一秒用力呼气容积(FEV)的即时支气管扩张反应作为成人哮喘的诊断标准。
Eur Respir J. 2019 Feb 14;53(2). doi: 10.1183/13993003.00904-2018. Print 2019 Feb.
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A genome-wide association and admixture mapping study of bronchodilator drug response in African Americans with asthma.一项针对非洲裔美国人哮喘患者支气管扩张剂药物反应的全基因组关联和混合映射研究。
Pharmacogenomics J. 2019 Jun;19(3):249-259. doi: 10.1038/s41397-018-0042-4. Epub 2018 Sep 12.
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On the Relationship Between High-Order Linkage Disequilibrium and Epistasis.高阶连锁不平衡与上位性之间的关系
G3 (Bethesda). 2018 Jul 31;8(8):2817-2824. doi: 10.1534/g3.118.200513.
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Whole-Genome Sequencing of Pharmacogenetic Drug Response in Racially Diverse Children with Asthma.种族多样化哮喘儿童药物反应的全基因组测序。
Am J Respir Crit Care Med. 2018 Jun 15;197(12):1552-1564. doi: 10.1164/rccm.201712-2529OC.
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N Engl J Med. 2016 May 12;374(19):1842-1852. doi: 10.1056/NEJMoa1513737.
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