TreeScan: A bioinformatic application to search for genotype/phenotype associations using haplotype trees

David Posada; Taylor J. Maxwell; Alan R. Templeton

doi:10.1093/bioinformatics/bti293

TreeScan: A bioinformatic application to search for genotype/phenotype associations using haplotype trees

David Posada, Taylor J. Maxwell, Alan R. Templeton

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: We present the software implementation of the tree scanning method to detect associations between genetic haplotypes and quantitative traits, utilizing the evolutionary history of the haplotypes, in samples of unrelated individuals.

Original language	English
Pages (from-to)	2130-2132
Number of pages	3
Journal	Bioinformatics
Volume	21
Issue number	9
DOIs	https://doi.org/10.1093/bioinformatics/bti293
State	Published - 1 May 2005
Externally published	Yes

Bibliographical note

Funding Information:
Part of this work was done at Variagenics, Inc (Cambridge, MA, USA). We thank Vincent Stanton, Jr, Daniel Chasman, Lakshman Subrahmanyan and Carsten Wiuf for the helpful discussions. Financial support from the Burroughs Wellcome Fund Innovation Award in Functional Genomics 100133, an NSF predoctoral fellowship award to T. J. M., and the National Institutes of Health grant GM65509 are gratefully acknowledged.

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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title = "TreeScan: A bioinformatic application to search for genotype/phenotype associations using haplotype trees",

abstract = "Summary: We present the software implementation of the tree scanning method to detect associations between genetic haplotypes and quantitative traits, utilizing the evolutionary history of the haplotypes, in samples of unrelated individuals.",

author = "David Posada and Maxwell, \{Taylor J.\} and Templeton, \{Alan R.\}",

note = "Funding Information: Part of this work was done at Variagenics, Inc (Cambridge, MA, USA). We thank Vincent Stanton, Jr, Daniel Chasman, Lakshman Subrahmanyan and Carsten Wiuf for the helpful discussions. Financial support from the Burroughs Wellcome Fund Innovation Award in Functional Genomics 100133, an NSF predoctoral fellowship award to T. J. M., and the National Institutes of Health grant GM65509 are gratefully acknowledged.",

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doi = "10.1093/bioinformatics/bti293",

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AU - Templeton, Alan R.

N1 - Funding Information: Part of this work was done at Variagenics, Inc (Cambridge, MA, USA). We thank Vincent Stanton, Jr, Daniel Chasman, Lakshman Subrahmanyan and Carsten Wiuf for the helpful discussions. Financial support from the Burroughs Wellcome Fund Innovation Award in Functional Genomics 100133, an NSF predoctoral fellowship award to T. J. M., and the National Institutes of Health grant GM65509 are gratefully acknowledged.

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N2 - Summary: We present the software implementation of the tree scanning method to detect associations between genetic haplotypes and quantitative traits, utilizing the evolutionary history of the haplotypes, in samples of unrelated individuals.

AB - Summary: We present the software implementation of the tree scanning method to detect associations between genetic haplotypes and quantitative traits, utilizing the evolutionary history of the haplotypes, in samples of unrelated individuals.

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TreeScan: A bioinformatic application to search for genotype/phenotype associations using haplotype trees

Abstract

Bibliographical note

ASJC Scopus subject areas

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