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Systems genetics approaches for understanding complex traits with relevance for human disease
Quantitative traits are often complex because of the contribution of many loci, with further complexity added by environmental factors. In medical research, systems genetics is a powerful approach for the study of complex traits, as it integrates intermediate phenotypes, such as RNA, protein, and me...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645424/ https://www.ncbi.nlm.nih.gov/pubmed/37962168 http://dx.doi.org/10.7554/eLife.91004 |
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author | Allayee, Hooman Farber, Charles R Seldin, Marcus M Williams, Evan Graehl James, David E Lusis, Aldons J |
author_facet | Allayee, Hooman Farber, Charles R Seldin, Marcus M Williams, Evan Graehl James, David E Lusis, Aldons J |
author_sort | Allayee, Hooman |
collection | PubMed |
description | Quantitative traits are often complex because of the contribution of many loci, with further complexity added by environmental factors. In medical research, systems genetics is a powerful approach for the study of complex traits, as it integrates intermediate phenotypes, such as RNA, protein, and metabolite levels, to understand molecular and physiological phenotypes linking discrete DNA sequence variation to complex clinical and physiological traits. The primary purpose of this review is to describe some of the resources and tools of systems genetics in humans and rodent models, so that researchers in many areas of biology and medicine can make use of the data. |
format | Online Article Text |
id | pubmed-10645424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-106454242023-11-14 Systems genetics approaches for understanding complex traits with relevance for human disease Allayee, Hooman Farber, Charles R Seldin, Marcus M Williams, Evan Graehl James, David E Lusis, Aldons J eLife Computational and Systems Biology Quantitative traits are often complex because of the contribution of many loci, with further complexity added by environmental factors. In medical research, systems genetics is a powerful approach for the study of complex traits, as it integrates intermediate phenotypes, such as RNA, protein, and metabolite levels, to understand molecular and physiological phenotypes linking discrete DNA sequence variation to complex clinical and physiological traits. The primary purpose of this review is to describe some of the resources and tools of systems genetics in humans and rodent models, so that researchers in many areas of biology and medicine can make use of the data. eLife Sciences Publications, Ltd 2023-11-14 /pmc/articles/PMC10645424/ /pubmed/37962168 http://dx.doi.org/10.7554/eLife.91004 Text en © 2023, Allayee, Farber et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Allayee, Hooman Farber, Charles R Seldin, Marcus M Williams, Evan Graehl James, David E Lusis, Aldons J Systems genetics approaches for understanding complex traits with relevance for human disease |
title | Systems genetics approaches for understanding complex traits with relevance for human disease |
title_full | Systems genetics approaches for understanding complex traits with relevance for human disease |
title_fullStr | Systems genetics approaches for understanding complex traits with relevance for human disease |
title_full_unstemmed | Systems genetics approaches for understanding complex traits with relevance for human disease |
title_short | Systems genetics approaches for understanding complex traits with relevance for human disease |
title_sort | systems genetics approaches for understanding complex traits with relevance for human disease |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645424/ https://www.ncbi.nlm.nih.gov/pubmed/37962168 http://dx.doi.org/10.7554/eLife.91004 |
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