GeneRecon—A coalescent based tool for fine-scale association mapping

Thomas Mailund; Mikkel Heide Schierup; Christian Nørgaard Storm Pedersen; Jesper Nymann Madsen; Jotun Hein; Leif Schauser

GeneRecon—A coalescent based tool for fine-scale association mapping

Thomas Mailund
, Mikkel Heide Schierup
, Christian Nørgaard Storm Pedersen
, Jesper Nymann Madsen
, Jotun Hein
, Leif Schauser

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

9 Citations (Scopus)

Abstract

GeneRecon is a tool for fine-scale association mapping using a coalescence model. GeneRecon takes as input case-control data from phased or unphased SNP and micro-satellite genotypes. The posterior distribution of disease locus position is obtained by Metropolis Hastings sampling in the state space of genealogies. Input format, search strategy, and the sampled statistics can be configured through the Guile Scheme programming language embedded in GeneRecon, making GeneRecon highly configurable.

Original language	English
Journal	Bioinformatics
Volume	22
Issue	18
Pages (from-to)	2317–2318
Number of pages	2
ISSN	1367-4803
Publication status	Published - 2006

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@article{9796cc10b82311dbbee902004c4f4f50,

title = "GeneRecon—A coalescent based tool for fine-scale association mapping",

abstract = "GeneRecon is a tool for fine-scale association mapping using a coalescence model. GeneRecon takes as input case-control data from phased or unphased SNP and micro-satellite genotypes. The posterior distribution of disease locus position is obtained by Metropolis Hastings sampling in the state space of genealogies. Input format, search strategy, and the sampled statistics can be configured through the Guile Scheme programming language embedded in GeneRecon, making GeneRecon highly configurable.",

author = "Thomas Mailund and Schierup, \{Mikkel Heide\} and Pedersen, \{Christian N{\o}rgaard Storm\} and Madsen, \{Jesper Nymann\} and Jotun Hein and Leif Schauser",

note = "Paper id:: doi:10.1093/bioinformatics/btl153",

year = "2006",

language = "English",

volume = "22",

pages = "2317–2318",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

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TY - JOUR

T1 - GeneRecon—A coalescent based tool for fine-scale association mapping

AU - Mailund, Thomas

AU - Schierup, Mikkel Heide

AU - Pedersen, Christian Nørgaard Storm

AU - Madsen, Jesper Nymann

AU - Hein, Jotun

AU - Schauser, Leif

N1 - Paper id:: doi:10.1093/bioinformatics/btl153

PY - 2006

Y1 - 2006

N2 - GeneRecon is a tool for fine-scale association mapping using a coalescence model. GeneRecon takes as input case-control data from phased or unphased SNP and micro-satellite genotypes. The posterior distribution of disease locus position is obtained by Metropolis Hastings sampling in the state space of genealogies. Input format, search strategy, and the sampled statistics can be configured through the Guile Scheme programming language embedded in GeneRecon, making GeneRecon highly configurable.

AB - GeneRecon is a tool for fine-scale association mapping using a coalescence model. GeneRecon takes as input case-control data from phased or unphased SNP and micro-satellite genotypes. The posterior distribution of disease locus position is obtained by Metropolis Hastings sampling in the state space of genealogies. Input format, search strategy, and the sampled statistics can be configured through the Guile Scheme programming language embedded in GeneRecon, making GeneRecon highly configurable.

M3 - Journal article

SN - 1367-4803

VL - 22

SP - 2317

EP - 2318

JO - Bioinformatics

JF - Bioinformatics

IS - 18

ER -

GeneRecon—A coalescent based tool for fine-scale association mapping

Abstract

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