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Genome-wide association analysis of imputed rare variants: application to seven common complex diseases.推算的罕见变异的全基因组关联分析:应用于七种常见复杂疾病
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2
Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies.最优统一方法用于罕见变异关联测试及其在小样本病例对照全外显子测序研究中的应用。
Am J Hum Genet. 2012 Aug 10;91(2):224-37. doi: 10.1016/j.ajhg.2012.06.007. Epub 2012 Aug 2.
3
Fast and accurate genotype imputation in genome-wide association studies through pre-phasing.通过预分组实现全基因组关联研究中的快速准确基因型推断。
Nat Genet. 2012 Jul 22;44(8):955-9. doi: 10.1038/ng.2354.
4
Genome-wide efficient mixed-model analysis for association studies.全基因组高效混合模型关联分析。
Nat Genet. 2012 Jun 17;44(7):821-4. doi: 10.1038/ng.2310.
5
Caution in interpreting results from imputation analysis when linkage disequilibrium extends over a large distance: a case study on venous thrombosis.当连锁不平衡延伸到较大距离时,对插补分析结果的解释要谨慎:静脉血栓形成的案例研究。
PLoS One. 2012;7(6):e38538. doi: 10.1371/journal.pone.0038538. Epub 2012 Jun 4.
6
Two adaptive weighting methods to test for rare variant associations in family-based designs.两种适应权重方法在基于家系的设计中检测罕见变异关联。
Genet Epidemiol. 2012 Jul;36(5):499-507. doi: 10.1002/gepi.21646. Epub 2012 Jun 1.
7
Genotype imputation for African Americans using data from HapMap phase II versus 1000 genomes projects.利用 HapMap 二期和 1000 基因组计划的数据对非裔美国人进行基因型推断。
Genet Epidemiol. 2012 Jul;36(5):508-16. doi: 10.1002/gepi.21647. Epub 2012 May 29.
8
Extremely low-coverage sequencing and imputation increases power for genome-wide association studies.极低覆盖度测序和模拟提高了全基因组关联研究的效能。
Nat Genet. 2012 May 20;44(6):631-5. doi: 10.1038/ng.2283.
9
A coalescent model for genotype imputation.基于合并模型的基因型推断。
Genetics. 2012 Aug;191(4):1239-55. doi: 10.1534/genetics.111.137984. Epub 2012 May 17.
10
SEQCHIP: a powerful method to integrate sequence and genotype data for the detection of rare variant associations.SEQCHIP:一种强大的方法,用于整合序列和基因型数据,以检测罕见变异关联。
Bioinformatics. 2012 Jul 1;28(13):1745-51. doi: 10.1093/bioinformatics/bts263. Epub 2012 May 3.

下一代关联研究中罕见变异的插补

Imputation of rare variants in next-generation association studies.

作者信息

Asimit Jennifer L, Zeggini Eleftheria

机构信息

Wellcome Trust Sanger Institute, Hinxton, UK.

出版信息

Hum Hered. 2012;74(3-4):196-204. doi: 10.1159/000345602. Epub 2013 Apr 11.

DOI:10.1159/000345602
PMID:23594497
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3954458/
Abstract

The role of rare variants has become a focus in the search for association with complex traits. Imputation is a powerful and cost-efficient tool to access variants that have not been directly typed, but there are several challenges when imputing rare variants, most notably reference panel selection. Extensions to rare variant association tests to incorporate genotype uncertainty from imputation are discussed, as well as the use of imputed low-frequency and rare variants in the study of population isolates.

摘要

罕见变异在寻找与复杂性状的关联中所起的作用已成为一个焦点。插补是一种强大且经济高效的工具,可用于获取未直接分型的变异,但在插补罕见变异时存在若干挑战,最显著的是参考面板的选择。本文讨论了对罕见变异关联测试的扩展,以纳入来自插补的基因型不确定性,以及在人群隔离研究中使用插补的低频和罕见变异。