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Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci
Understanding the genetic aetiology of loci associated with a disease is crucial for developing preventative measures and effective treatments. Mouse models are used extensively to understand human pathobiology and mechanistic functions of disease-associated loci. However, the utility of mouse model...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941414/ https://www.ncbi.nlm.nih.gov/pubmed/35317627 http://dx.doi.org/10.1098/rsbl.2021.0630 |
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author | Powell, George Long, Helen Zolkiewski, Louisa Dumbell, Rebecca Mallon, Ann-Marie Lindgren, Cecilia M. Simon, Michelle M. |
author_facet | Powell, George Long, Helen Zolkiewski, Louisa Dumbell, Rebecca Mallon, Ann-Marie Lindgren, Cecilia M. Simon, Michelle M. |
author_sort | Powell, George |
collection | PubMed |
description | Understanding the genetic aetiology of loci associated with a disease is crucial for developing preventative measures and effective treatments. Mouse models are used extensively to understand human pathobiology and mechanistic functions of disease-associated loci. However, the utility of mouse models is limited in part by evolutionary divergence in transcription regulation for pathways of interest. Here, we summarize the alignment of genomic (exonic and multi-cell regulatory) annotations alongside Mendelian and complex disease-associated variant sites between humans and mice. Our results highlight the importance of understanding evolutionary divergence in transcription regulation when interpreting functional studies using mice as models for human disease variants. |
format | Online Article Text |
id | pubmed-8941414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-89414142022-03-27 Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci Powell, George Long, Helen Zolkiewski, Louisa Dumbell, Rebecca Mallon, Ann-Marie Lindgren, Cecilia M. Simon, Michelle M. Biol Lett Genome Biology Understanding the genetic aetiology of loci associated with a disease is crucial for developing preventative measures and effective treatments. Mouse models are used extensively to understand human pathobiology and mechanistic functions of disease-associated loci. However, the utility of mouse models is limited in part by evolutionary divergence in transcription regulation for pathways of interest. Here, we summarize the alignment of genomic (exonic and multi-cell regulatory) annotations alongside Mendelian and complex disease-associated variant sites between humans and mice. Our results highlight the importance of understanding evolutionary divergence in transcription regulation when interpreting functional studies using mice as models for human disease variants. The Royal Society 2022-03-23 /pmc/articles/PMC8941414/ /pubmed/35317627 http://dx.doi.org/10.1098/rsbl.2021.0630 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Genome Biology Powell, George Long, Helen Zolkiewski, Louisa Dumbell, Rebecca Mallon, Ann-Marie Lindgren, Cecilia M. Simon, Michelle M. Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci |
title | Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci |
title_full | Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci |
title_fullStr | Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci |
title_full_unstemmed | Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci |
title_short | Modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci |
title_sort | modelling the genetic aetiology of complex disease: human–mouse conservation of noncoding features and disease-associated loci |
topic | Genome Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941414/ https://www.ncbi.nlm.nih.gov/pubmed/35317627 http://dx.doi.org/10.1098/rsbl.2021.0630 |
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