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3D genome organization links non-coding disease-associated variants to genes

Genome sequencing has revealed over 300 million genetic variations in human populations. Over 90% of variants are single nucleotide polymorphisms (SNPs), the remainder include short deletions or insertions, and small numbers of structural variants. Hundreds of thousands of these variants have been a...

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Autores principales: Orozco, Gisela, Schoenfelder, Stefan, Walker, Nicolas, Eyre, Stephan, Fraser, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631826/
https://www.ncbi.nlm.nih.gov/pubmed/36340032
http://dx.doi.org/10.3389/fcell.2022.995388
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author Orozco, Gisela
Schoenfelder, Stefan
Walker, Nicolas
Eyre, Stephan
Fraser, Peter
author_facet Orozco, Gisela
Schoenfelder, Stefan
Walker, Nicolas
Eyre, Stephan
Fraser, Peter
author_sort Orozco, Gisela
collection PubMed
description Genome sequencing has revealed over 300 million genetic variations in human populations. Over 90% of variants are single nucleotide polymorphisms (SNPs), the remainder include short deletions or insertions, and small numbers of structural variants. Hundreds of thousands of these variants have been associated with specific phenotypic traits and diseases through genome wide association studies which link significant differences in variant frequencies with specific phenotypes among large groups of individuals. Only 5% of disease-associated SNPs are located in gene coding sequences, with the potential to disrupt gene expression or alter of the function of encoded proteins. The remaining 95% of disease-associated SNPs are located in non-coding DNA sequences which make up 98% of the genome. The role of non-coding, disease-associated SNPs, many of which are located at considerable distances from any gene, was at first a mystery until the discovery that gene promoters regularly interact with distal regulatory elements to control gene expression. Disease-associated SNPs are enriched at the millions of gene regulatory elements that are dispersed throughout the non-coding sequences of the genome, suggesting they function as gene regulation variants. Assigning specific regulatory elements to the genes they control is not straightforward since they can be millions of base pairs apart. In this review we describe how understanding 3D genome organization can identify specific interactions between gene promoters and distal regulatory elements and how 3D genomics can link disease-associated SNPs to their target genes. Understanding which gene or genes contribute to a specific disease is the first step in designing rational therapeutic interventions.
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spelling pubmed-96318262022-11-04 3D genome organization links non-coding disease-associated variants to genes Orozco, Gisela Schoenfelder, Stefan Walker, Nicolas Eyre, Stephan Fraser, Peter Front Cell Dev Biol Cell and Developmental Biology Genome sequencing has revealed over 300 million genetic variations in human populations. Over 90% of variants are single nucleotide polymorphisms (SNPs), the remainder include short deletions or insertions, and small numbers of structural variants. Hundreds of thousands of these variants have been associated with specific phenotypic traits and diseases through genome wide association studies which link significant differences in variant frequencies with specific phenotypes among large groups of individuals. Only 5% of disease-associated SNPs are located in gene coding sequences, with the potential to disrupt gene expression or alter of the function of encoded proteins. The remaining 95% of disease-associated SNPs are located in non-coding DNA sequences which make up 98% of the genome. The role of non-coding, disease-associated SNPs, many of which are located at considerable distances from any gene, was at first a mystery until the discovery that gene promoters regularly interact with distal regulatory elements to control gene expression. Disease-associated SNPs are enriched at the millions of gene regulatory elements that are dispersed throughout the non-coding sequences of the genome, suggesting they function as gene regulation variants. Assigning specific regulatory elements to the genes they control is not straightforward since they can be millions of base pairs apart. In this review we describe how understanding 3D genome organization can identify specific interactions between gene promoters and distal regulatory elements and how 3D genomics can link disease-associated SNPs to their target genes. Understanding which gene or genes contribute to a specific disease is the first step in designing rational therapeutic interventions. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9631826/ /pubmed/36340032 http://dx.doi.org/10.3389/fcell.2022.995388 Text en Copyright © 2022 Orozco, Schoenfelder, Walker, Eyre and Fraser. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Orozco, Gisela
Schoenfelder, Stefan
Walker, Nicolas
Eyre, Stephan
Fraser, Peter
3D genome organization links non-coding disease-associated variants to genes
title 3D genome organization links non-coding disease-associated variants to genes
title_full 3D genome organization links non-coding disease-associated variants to genes
title_fullStr 3D genome organization links non-coding disease-associated variants to genes
title_full_unstemmed 3D genome organization links non-coding disease-associated variants to genes
title_short 3D genome organization links non-coding disease-associated variants to genes
title_sort 3d genome organization links non-coding disease-associated variants to genes
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631826/
https://www.ncbi.nlm.nih.gov/pubmed/36340032
http://dx.doi.org/10.3389/fcell.2022.995388
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