Association mapping via a class of haplotype-sharing statistics

We present a class of haplotype-sharing statistics useful for association mapping in case-parent trio data. The framework presented allows derivation of novel tests as well as new simplified variance estimators for previously proposed tests. We give an overview of this framework and apply four such...

Descripción completa

Detalles Bibliográficos
Autores principales: Allen, Andrew S, Satten, Glen A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367563/
https://www.ncbi.nlm.nih.gov/pubmed/18466465
_version_ 1782154321937301504
author Allen, Andrew S
Satten, Glen A
author_facet Allen, Andrew S
Satten, Glen A
author_sort Allen, Andrew S
collection PubMed
description We present a class of haplotype-sharing statistics useful for association mapping in case-parent trio data. The framework presented allows derivation of novel tests as well as new simplified variance estimators for previously proposed tests. We give an overview of this framework and apply four such tests to the simulated data of Genetic Analysis Workshop 15. We find that these haplotype-based statistics result in greater power and better risk locus localization than the single locus single-nucleotide polymorphism analysis.
format Text
id pubmed-2367563
institution National Center for Biotechnology Information
language English
publishDate 2007
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-23675632008-05-06 Association mapping via a class of haplotype-sharing statistics Allen, Andrew S Satten, Glen A BMC Proc Proceedings We present a class of haplotype-sharing statistics useful for association mapping in case-parent trio data. The framework presented allows derivation of novel tests as well as new simplified variance estimators for previously proposed tests. We give an overview of this framework and apply four such tests to the simulated data of Genetic Analysis Workshop 15. We find that these haplotype-based statistics result in greater power and better risk locus localization than the single locus single-nucleotide polymorphism analysis. BioMed Central 2007-12-18 /pmc/articles/PMC2367563/ /pubmed/18466465 Text en Copyright © 2007 Allen and Satten; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Allen, Andrew S
Satten, Glen A
Association mapping via a class of haplotype-sharing statistics
title Association mapping via a class of haplotype-sharing statistics
title_full Association mapping via a class of haplotype-sharing statistics
title_fullStr Association mapping via a class of haplotype-sharing statistics
title_full_unstemmed Association mapping via a class of haplotype-sharing statistics
title_short Association mapping via a class of haplotype-sharing statistics
title_sort association mapping via a class of haplotype-sharing statistics
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367563/
https://www.ncbi.nlm.nih.gov/pubmed/18466465
work_keys_str_mv AT allenandrews associationmappingviaaclassofhaplotypesharingstatistics
AT sattenglena associationmappingviaaclassofhaplotypesharingstatistics

Ejemplares similares