国际人类基因组单体型图计划
单核苷酸多态性
遗传关联
SNP公司
基因分型
dbSNP公司
计算机科学
数据挖掘
基因型
遗传学
生物
基因
出处
期刊:CSH Protocols
[Cold Spring Harbor Laboratory]
日期:2009-10-01
卷期号:2009 (10): pdb.ip71-pdb.ip71
被引量:333
摘要
INTRODUCTION Association studies involve accessing, parsing, generating, and analyzing large volumes of data, often carried out in many steps over many months. Large-scale surveys of genetic variation, such as the International HapMap Project, and rapidly increasing volumes of single-nucleotide polymorphism (SNP) genotyping data have created exciting opportunities for association studies. However, they have further exacerbated the difficulty of curating and analyzing such data. Haploview is a program developed in Mark Daly’s lab at the Broad Institute of MIT and Harvard, which is designed to bundle many everyday analysis tasks into one easy-to-use package. Haploview has several features that are useful throughout different phases of association studies. Several of these features are illustrated in this article by following a hypothetical association study from design to execution. Haploview is used to (1) analyze HapMap data and choose tag-SNPs, (2) evaluate the quality of disease genotype data, (3) test for association, and (4) evaluate a region for follow-up of a positive association.
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