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Understanding Non-Mendelian Genetic Risk

This opinion paper highlights strategies for a better understanding of non-Mendelian genetic risk that was revealed by genome-wide association studies (GWAS) of complex diseases. The genetic risk resides predominantly in non-coding regulatory DNA, such as in enhancers. The identification of mechanis...

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Autor principal: Coetzee, Gerhard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235392/
https://www.ncbi.nlm.nih.gov/pubmed/32476988
http://dx.doi.org/10.2174/1389202920666191018085511
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author Coetzee, Gerhard A.
author_facet Coetzee, Gerhard A.
author_sort Coetzee, Gerhard A.
collection PubMed
description This opinion paper highlights strategies for a better understanding of non-Mendelian genetic risk that was revealed by genome-wide association studies (GWAS) of complex diseases. The genetic risk resides predominantly in non-coding regulatory DNA, such as in enhancers. The identification of mechanisms, the causal variants (mainly SNPs), and their target genes are, however, not always apparent but are likely involved in a network of risk determinants; the identification presents a bottle-neck in the full understanding of the genetics of complex phenotypes. Here, we propose strategies to identify functional SNPs and link risk enhancers with their target genes. The strategies are 1) identifying fine-mapped SNPs that break/form response elements within chromatin bio-features in relevant cell types 2) considering the nearest gene on linear DNA, 3) analyzing eQTLs, 4) mapping differential DNA methylation regions and relating them to gene expression, 5) employing genomic editing with CRISPR/cas9 and 6) identifying topological associated chromatin domains using chromatin conformation capture.
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spelling pubmed-72353922020-05-29 Understanding Non-Mendelian Genetic Risk Coetzee, Gerhard A. Curr Genomics Genomics This opinion paper highlights strategies for a better understanding of non-Mendelian genetic risk that was revealed by genome-wide association studies (GWAS) of complex diseases. The genetic risk resides predominantly in non-coding regulatory DNA, such as in enhancers. The identification of mechanisms, the causal variants (mainly SNPs), and their target genes are, however, not always apparent but are likely involved in a network of risk determinants; the identification presents a bottle-neck in the full understanding of the genetics of complex phenotypes. Here, we propose strategies to identify functional SNPs and link risk enhancers with their target genes. The strategies are 1) identifying fine-mapped SNPs that break/form response elements within chromatin bio-features in relevant cell types 2) considering the nearest gene on linear DNA, 3) analyzing eQTLs, 4) mapping differential DNA methylation regions and relating them to gene expression, 5) employing genomic editing with CRISPR/cas9 and 6) identifying topological associated chromatin domains using chromatin conformation capture. Bentham Science Publishers 2019-08 2019-08 /pmc/articles/PMC7235392/ /pubmed/32476988 http://dx.doi.org/10.2174/1389202920666191018085511 Text en © 2019 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Genomics
Coetzee, Gerhard A.
Understanding Non-Mendelian Genetic Risk
title Understanding Non-Mendelian Genetic Risk
title_full Understanding Non-Mendelian Genetic Risk
title_fullStr Understanding Non-Mendelian Genetic Risk
title_full_unstemmed Understanding Non-Mendelian Genetic Risk
title_short Understanding Non-Mendelian Genetic Risk
title_sort understanding non-mendelian genetic risk
topic Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235392/
https://www.ncbi.nlm.nih.gov/pubmed/32476988
http://dx.doi.org/10.2174/1389202920666191018085511
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