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SNPTransformer:一个用于全基因组关联研究的轻量级工具包。

SNPTransformer: a lightweight toolkit for genome-wide association studies.

机构信息

School of Medicine, Ningbo University, Ningbo 315211, China.

出版信息

Genomics Proteomics Bioinformatics. 2010 Dec;8(4):268-73. doi: 10.1016/S1672-0229(10)60029-0.

DOI:10.1016/S1672-0229(10)60029-0
PMID:21382596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5054149/
Abstract

High-throughput genotyping chips have produced huge datasets for genome-wide association studies (GWAS) that have contributed greatly to discovering susceptibility genes for complex diseases. There are two strategies for performing data analysis for GWAS. One strategy is to use open-source or commercial packages that are designed for GWAS. The other is to take advantage of classic genetic programs with specific functions, such as linkage disequilibrium mapping, haplotype inference and transmission disequilibrium tests. However, most classic programs that are available are not suitable for analyzing chip data directly and require custom-made input, which results in the inconvenience of converting raw genotyping files into various data formats. We developed a powerful, user-friendly, lightweight program named SNPTransformer for GWAS that includes five major modules (Transformer, Operator, Previewer, Coder and Simulator). The toolkit not only works for transforming the genotyping files into ten input formats for use with classic genetics packages, but also carries out useful functions such as relational operations on IDs, previewing data files, recoding data formats and simulating marker files, among other functions. It bridges upstream raw genotyping data with downstream genetic programs, and can act as an in-hand toolkit for human geneticists, especially for non-programmers. SNPTransformer is freely available at http://snptransformer.sourceforge.net.

摘要

高通量基因分型芯片为全基因组关联研究 (GWAS) 产生了庞大的数据集,为发现复杂疾病的易感性基因做出了巨大贡献。GWAS 的数据分析有两种策略。一种策略是使用专为 GWAS 设计的开源或商业软件包。另一种是利用具有特定功能的经典遗传程序,如连锁不平衡映射、单倍型推断和传递不平衡检验。然而,大多数现有的经典程序并不适合直接分析芯片数据,需要定制输入,这导致将原始基因分型文件转换为各种数据格式很不方便。我们开发了一个名为 SNPTransformer 的功能强大、用户友好、轻量级的 GWAS 程序,它包含五个主要模块(Transformer、Operator、Previewer、Coder 和 Simulator)。该工具包不仅可以将基因分型文件转换为十种输入格式,以用于经典遗传学软件包,还可以执行有用的功能,如对 ID 进行关系操作、预览数据文件、重新编码数据格式和模拟标记文件等。它连接了上游的原始基因分型数据和下游的遗传程序,可作为人类遗传学家的实用工具包,特别是对于非程序员。SNPTransformer 可在 http://snptransformer.sourceforge.net 免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5d1/5054149/3565abd3a7ba/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5d1/5054149/7a8dd0053c33/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5d1/5054149/3565abd3a7ba/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5d1/5054149/7a8dd0053c33/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5d1/5054149/3565abd3a7ba/gr2.jpg

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本文引用的文献

1
GWAS analyzer: integrating genotype, phenotype and public annotation data for genome-wide association study analysis.GWAS 分析器:用于全基因组关联研究分析的基因型、表型和公共注释数据的整合。
Bioinformatics. 2010 Feb 15;26(4):560-4. doi: 10.1093/bioinformatics/btp714. Epub 2010 Jan 6.
2
GWAF: an R package for genome-wide association analyses with family data.GWAF:用于家族数据全基因组关联分析的 R 包。
Bioinformatics. 2010 Feb 15;26(4):580-1. doi: 10.1093/bioinformatics/btp710. Epub 2009 Dec 29.
3
MAVEN: a tool for visualization and functional analysis of genome-wide association results.
MAVEN:一种用于可视化和功能分析全基因组关联研究结果的工具。
Bioinformatics. 2010 Jan 15;26(2):270-2. doi: 10.1093/bioinformatics/btp641. Epub 2009 Nov 17.
4
SNP_tools: A compact tool package for analysis and conversion of genotype data for MS-Excel.SNP工具:一个用于MS-Excel基因型数据分析与转换的紧凑型工具包。
BMC Res Notes. 2009 Oct 23;2:214. doi: 10.1186/1756-0500-2-214.
5
GWAS GUI: graphical browser for the results of whole-genome association studies with high-dimensional phenotypes.GWAS GUI:用于具有高维表型的全基因组关联研究结果的图形浏览器。
Bioinformatics. 2009 Jan 15;25(2):284-5. doi: 10.1093/bioinformatics/btn600. Epub 2008 Nov 20.
6
A HapMap harvest of insights into the genetics of common disease.从HapMap中获取对常见疾病遗传学的深刻见解。
J Clin Invest. 2008 May;118(5):1590-605. doi: 10.1172/JCI34772.
7
Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data.针对有缺失基因型数据的核心家庭和无关个体的基于似然性的关联分析。
Hum Hered. 2008;66(2):87-98. doi: 10.1159/000119108. Epub 2008 Mar 31.
8
DNA sequencing. A plan to capture human diversity in 1000 genomes.DNA测序。一项在千人基因组计划中捕捉人类多样性的计划。
Science. 2008 Jan 25;319(5862):395. doi: 10.1126/science.319.5862.395.
9
A second generation human haplotype map of over 3.1 million SNPs.一张包含超过310万个单核苷酸多态性的第二代人类单倍型图谱。
Nature. 2007 Oct 18;449(7164):851-61. doi: 10.1038/nature06258.
10
PLINK: a tool set for whole-genome association and population-based linkage analyses.PLINK:一个用于全基因组关联分析和基于群体的连锁分析的工具集。
Am J Hum Genet. 2007 Sep;81(3):559-75. doi: 10.1086/519795. Epub 2007 Jul 25.