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hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework
Summary: Haplotypes carry important information that can direct investigators towards underlying susceptibility variants, and hence multiple tagging single nucleotide polymorphisms (tSNPs) are usually studied in candidate gene association studies. However, it is often unknown which SNPs should be in...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2530882/ https://www.ncbi.nlm.nih.gov/pubmed/18653522 http://dx.doi.org/10.1093/bioinformatics/btn359 |
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author | Abo, Ryan Knight, Stacey Wong, Jathine Cox, Angela Camp, Nicola J. |
author_facet | Abo, Ryan Knight, Stacey Wong, Jathine Cox, Angela Camp, Nicola J. |
author_sort | Abo, Ryan |
collection | PubMed |
description | Summary: Haplotypes carry important information that can direct investigators towards underlying susceptibility variants, and hence multiple tagging single nucleotide polymorphisms (tSNPs) are usually studied in candidate gene association studies. However, it is often unknown which SNPs should be included in haplotype analyses, or which tests should be performed for maximum power. We have developed a program, hapConstructor, which automatically builds multi-locus SNP sets to test for association in a case-control framework. The multi-SNP sets considered need not be contiguous; they are built based on significance. An important feature is that the missing data imputation is carried out based on the full data, for maximal information and consistency. HapConstructor is implemented in a Monte Carlo framework and naturally extends to allow for significance testing and false discovery rates that account for the construction process and to related individuals. HapConstructor is a useful tool for exploring multi-locus associations in candidate genes and regions. Availability: http://www-genepi.med.utah.edu/Genie Contact: ryan.abo@hsc.utah.edu |
format | Text |
id | pubmed-2530882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-25308822009-02-25 hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework Abo, Ryan Knight, Stacey Wong, Jathine Cox, Angela Camp, Nicola J. Bioinformatics Applications Note Summary: Haplotypes carry important information that can direct investigators towards underlying susceptibility variants, and hence multiple tagging single nucleotide polymorphisms (tSNPs) are usually studied in candidate gene association studies. However, it is often unknown which SNPs should be included in haplotype analyses, or which tests should be performed for maximum power. We have developed a program, hapConstructor, which automatically builds multi-locus SNP sets to test for association in a case-control framework. The multi-SNP sets considered need not be contiguous; they are built based on significance. An important feature is that the missing data imputation is carried out based on the full data, for maximal information and consistency. HapConstructor is implemented in a Monte Carlo framework and naturally extends to allow for significance testing and false discovery rates that account for the construction process and to related individuals. HapConstructor is a useful tool for exploring multi-locus associations in candidate genes and regions. Availability: http://www-genepi.med.utah.edu/Genie Contact: ryan.abo@hsc.utah.edu Oxford University Press 2008-09-15 2008-07-23 /pmc/articles/PMC2530882/ /pubmed/18653522 http://dx.doi.org/10.1093/bioinformatics/btn359 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Abo, Ryan Knight, Stacey Wong, Jathine Cox, Angela Camp, Nicola J. hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework |
title | hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework |
title_full | hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework |
title_fullStr | hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework |
title_full_unstemmed | hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework |
title_short | hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework |
title_sort | hapconstructor: automatic construction and testing of haplotypes in a monte carlo framework |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2530882/ https://www.ncbi.nlm.nih.gov/pubmed/18653522 http://dx.doi.org/10.1093/bioinformatics/btn359 |
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