» Articles » PMID: 20147036

Haploview: Visualization and Analysis of SNP Genotype Data

Overview
Date 2010 Feb 12
PMID 20147036
Citations 206
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Identifying Genetic Predisposition to Dozer Lamb Syndrome: A Semi-Lethal Muscle Weakness Disease in Sheep.

Stegemiller M, Highland M, Ewert K, Neaton H, Biller D, Murdoch B Genes (Basel). 2025; 16(1).

PMID: 39858630 PMC: 11764822. DOI: 10.3390/genes16010083.


Functionally-informed fine-mapping identifies genetic variants linking increased CHD1L expression and HIV restriction in monocytes.

Tough R, McLaren P Sci Rep. 2025; 15(1):2325.

PMID: 39825011 PMC: 11748618. DOI: 10.1038/s41598-024-84817-y.


Identifying the HIV-Resistance-Related Factors and Regulatory Network via Multi-Omics Analyses.

Long X, Liu G, Liu X, Zhang C, Shi L, Zhu Z Int J Mol Sci. 2024; 25(21).

PMID: 39519306 PMC: 11546959. DOI: 10.3390/ijms252111757.


Association Study of , , , and Single-Nucleotide Polymorphisms with Type 2 Diabetes Mellitus.

Diaz-Garcia J, Leyva-Leyva M, Sanchez-Aguillon F, de Leon-Bautista M, Fuentes-Venegas A, Torres-Viloria A Int J Mol Sci. 2024; 25(17).

PMID: 39273144 PMC: 11395491. DOI: 10.3390/ijms25179196.


Genetic Analysis of Soybean Flower Size Phenotypes Based on Computer Vision and Genome-Wide Association Studies.

Jin S, Tian H, Ti M, Song J, Hu Z, Zhang Z Int J Mol Sci. 2024; 25(14).

PMID: 39062864 PMC: 11277310. DOI: 10.3390/ijms25147622.