Network analysis and fine-mapping GWAS loci to identify genes and functional variants involved in the development of Dupuytren disease

Kerstin Becker, Juanjiangmeng Du, Peter Nürnberg, Hans Hennies

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The first genome-wide association study (GWAS) in Dupuytren disease (DD) has successfully identified nine genomic regions that harbor genetic variants contributing to the genetics of this disease. In GWASs common single nucleotide variants (SNVs) are investigated for association with a given trait or disease. These common SNVs are rarely the direct causative variants, but instead by chance, they capture the real causative variants in linkage disequilibrium (LD) at a given association locus. One of the major challenges in complex genetic diseases is the identification of these causal genetic variants that underlie the association signals. Integrative approaches that target the functional relevance of these causal variants on multiple levels are needed. The success of these approaches depends on the individual genetic architecture at each GWAS locus, which can be very complex, and the specific features of a given trait or disease. Targeted sequencing of the GWAS loci is one possible approach. Extensive analysis of GWAS data in conjunction with other possible data sources, e.g., expression data, is another approach to help to unravel the genetics of Dupuytren disease. We have been applying both approaches aiming to interrogate candidate gene variants and to characterize pathways of DD.
Original languageEnglish
Title of host publicationDupuytren Disease and Related diseases
Subtitle of host publicationThe Cutting Edge
EditorsPaul M. N. Werker, Joseph Dias, Charles Eaton, Bert Reichert, Wolfgang Wach
PublisherSpringer Verlag
Pages105-111
Number of pages7
ISBN (Electronic)9783319321998
ISBN (Print)9783319321974
DOIs
Publication statusPublished - 2017
Externally publishedYes

Fingerprint

Dupuytren Contracture
Genome-Wide Association Study
Inborn Genetic Diseases
Genes
Nucleotides
Information Storage and Retrieval
Linkage Disequilibrium

Cite this

Becker, K., Du, J., Nürnberg, P., & Hennies, H. (2017). Network analysis and fine-mapping GWAS loci to identify genes and functional variants involved in the development of Dupuytren disease. In P. M. N. Werker, J. Dias, C. Eaton, B. Reichert, & W. Wach (Eds.), Dupuytren Disease and Related diseases: The Cutting Edge (pp. 105-111). Springer Verlag. https://doi.org/10.1007/978-3-319-32199-8_13
Becker, Kerstin ; Du, Juanjiangmeng ; Nürnberg, Peter ; Hennies, Hans. / Network analysis and fine-mapping GWAS loci to identify genes and functional variants involved in the development of Dupuytren disease. Dupuytren Disease and Related diseases: The Cutting Edge. editor / Paul M. N. Werker ; Joseph Dias ; Charles Eaton ; Bert Reichert ; Wolfgang Wach. Springer Verlag, 2017. pp. 105-111
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Becker, K, Du, J, Nürnberg, P & Hennies, H 2017, Network analysis and fine-mapping GWAS loci to identify genes and functional variants involved in the development of Dupuytren disease. in PMN Werker, J Dias, C Eaton, B Reichert & W Wach (eds), Dupuytren Disease and Related diseases: The Cutting Edge. Springer Verlag, pp. 105-111. https://doi.org/10.1007/978-3-319-32199-8_13

Network analysis and fine-mapping GWAS loci to identify genes and functional variants involved in the development of Dupuytren disease. / Becker, Kerstin; Du, Juanjiangmeng; Nürnberg, Peter; Hennies, Hans.

Dupuytren Disease and Related diseases: The Cutting Edge. ed. / Paul M. N. Werker; Joseph Dias; Charles Eaton; Bert Reichert; Wolfgang Wach. Springer Verlag, 2017. p. 105-111.

Research output: Chapter in Book/Report/Conference proceedingChapter

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N2 - The first genome-wide association study (GWAS) in Dupuytren disease (DD) has successfully identified nine genomic regions that harbor genetic variants contributing to the genetics of this disease. In GWASs common single nucleotide variants (SNVs) are investigated for association with a given trait or disease. These common SNVs are rarely the direct causative variants, but instead by chance, they capture the real causative variants in linkage disequilibrium (LD) at a given association locus. One of the major challenges in complex genetic diseases is the identification of these causal genetic variants that underlie the association signals. Integrative approaches that target the functional relevance of these causal variants on multiple levels are needed. The success of these approaches depends on the individual genetic architecture at each GWAS locus, which can be very complex, and the specific features of a given trait or disease. Targeted sequencing of the GWAS loci is one possible approach. Extensive analysis of GWAS data in conjunction with other possible data sources, e.g., expression data, is another approach to help to unravel the genetics of Dupuytren disease. We have been applying both approaches aiming to interrogate candidate gene variants and to characterize pathways of DD.

AB - The first genome-wide association study (GWAS) in Dupuytren disease (DD) has successfully identified nine genomic regions that harbor genetic variants contributing to the genetics of this disease. In GWASs common single nucleotide variants (SNVs) are investigated for association with a given trait or disease. These common SNVs are rarely the direct causative variants, but instead by chance, they capture the real causative variants in linkage disequilibrium (LD) at a given association locus. One of the major challenges in complex genetic diseases is the identification of these causal genetic variants that underlie the association signals. Integrative approaches that target the functional relevance of these causal variants on multiple levels are needed. The success of these approaches depends on the individual genetic architecture at each GWAS locus, which can be very complex, and the specific features of a given trait or disease. Targeted sequencing of the GWAS loci is one possible approach. Extensive analysis of GWAS data in conjunction with other possible data sources, e.g., expression data, is another approach to help to unravel the genetics of Dupuytren disease. We have been applying both approaches aiming to interrogate candidate gene variants and to characterize pathways of DD.

KW - collagenase injection

KW - hand therapy

KW - needle fasciotomy

KW - radiotherapy

KW - surgical techniques

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M3 - Chapter

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BT - Dupuytren Disease and Related diseases

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A2 - Eaton, Charles

A2 - Reichert, Bert

A2 - Wach, Wolfgang

PB - Springer Verlag

ER -

Becker K, Du J, Nürnberg P, Hennies H. Network analysis and fine-mapping GWAS loci to identify genes and functional variants involved in the development of Dupuytren disease. In Werker PMN, Dias J, Eaton C, Reichert B, Wach W, editors, Dupuytren Disease and Related diseases: The Cutting Edge. Springer Verlag. 2017. p. 105-111 https://doi.org/10.1007/978-3-319-32199-8_13