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

^*Korrespondierende/r Autor/-in für diese Arbeit

Universität Rostock

2 Zitate (Scopus)

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.

Originalsprache	Englisch
Zeitschrift	Bioinformatics
Jahrgang	21
Ausgabenummer	8
Seiten (von - bis)	1737-1738
Seitenumfang	2
ISSN	1367-4803
DOIs	https://doi.org/10.1093/bioinformatics/bti209
Publikationsstatus	Veröffentlicht - 15.04.2005

Fördermittel

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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10.1093/bioinformatics/bti209

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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.",

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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).",

year = "2005",

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day = "15",

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.

UR - https://www.scopus.com/pages/publications/17444428132

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M3 - Journal articles

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JO - Bioinformatics

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ER -

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

Abstract

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UN SDGs

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