In silico fine-mapping: Narrowing disease-associated loci by intergenomics

Pablo Serrano-Fernández; Saleh M. Ibrahim; Dirk Koczan; Uwe K. Zettl; Steffen Möller

doi:10.1093/bioinformatics/bti209

In silico fine-mapping: Narrowing disease-associated loci by intergenomics

Pablo Serrano-Fernández, Saleh M. Ibrahim, Dirk Koczan, Uwe K. Zettl, Steffen Möller

College of Medicine and Health Sciences

Universität Rostock

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

2 Scopus citations

Abstract

Summary: Genetic linkage and association studies define quantitative trait loci (QTLs) and susceptibility loci (SLs) that influence the phenotype of polygenic traits. A web-accessible application was created to identify intergenomic consensuses to fine map QTLs and SLs in silico and select particularly promising candidate genes for such traits. Furthermore, this approach offers an empirical evaluation of animal models for their applicability to the study of human traits.

Original language	British English
Pages (from-to)	1737-1738
Number of pages	2
Journal	Bioinformatics
Volume	21
Issue number	8
DOIs	https://doi.org/10.1093/bioinformatics/bti209
State	Published - 15 Apr 2005

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title = "In silico fine-mapping: Narrowing disease-associated loci by intergenomics",

abstract = "Summary: Genetic linkage and association studies define quantitative trait loci (QTLs) and susceptibility loci (SLs) that influence the phenotype of polygenic traits. A web-accessible application was created to identify intergenomic consensuses to fine map QTLs and SLs in silico and select particularly promising candidate genes for such traits. Furthermore, this approach offers an empirical evaluation of animal models for their applicability to the study of human traits.",

author = "Pablo Serrano-Fern{\'a}ndez and Ibrahim, {Saleh M.} and Dirk Koczan and Zettl, {Uwe K.} and Steffen M{\"o}ller",

note = "Funding Information: The developers of EnsEMBL are thanked for their extraordinary efforts. This work was supported by the BMBF projects FKZ 01GG9831, 01GG9841 and NBL3 (FKZ 01ZZ0108).",

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doi = "10.1093/bioinformatics/bti209",

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AU - Serrano-Fernández, Pablo

AU - Ibrahim, Saleh M.

AU - Koczan, Dirk

AU - Zettl, Uwe K.

AU - Möller, Steffen

N1 - Funding Information: The developers of EnsEMBL are thanked for their extraordinary efforts. This work was supported by the BMBF projects FKZ 01GG9831, 01GG9841 and NBL3 (FKZ 01ZZ0108).

PY - 2005/4/15

Y1 - 2005/4/15

N2 - Summary: Genetic linkage and association studies define quantitative trait loci (QTLs) and susceptibility loci (SLs) that influence the phenotype of polygenic traits. A web-accessible application was created to identify intergenomic consensuses to fine map QTLs and SLs in silico and select particularly promising candidate genes for such traits. Furthermore, this approach offers an empirical evaluation of animal models for their applicability to the study of human traits.

AB - Summary: Genetic linkage and association studies define quantitative trait loci (QTLs) and susceptibility loci (SLs) that influence the phenotype of polygenic traits. A web-accessible application was created to identify intergenomic consensuses to fine map QTLs and SLs in silico and select particularly promising candidate genes for such traits. Furthermore, this approach offers an empirical evaluation of animal models for their applicability to the study of human traits.

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ER -

In silico fine-mapping: Narrowing disease-associated loci by intergenomics

Abstract

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