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系统遗传学方法在理解与人类疾病相关的复杂特征中的应用。

Systems genetics approaches for understanding complex traits with relevance for human disease.

机构信息

Departments of Population & Public Health Sciences, University of Southern California, Los Angeles, United States.

Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, United States.

出版信息

Elife. 2023 Nov 14;12:e91004. doi: 10.7554/eLife.91004.

DOI:10.7554/eLife.91004
PMID:37962168
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10645424/
Abstract

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.

摘要

数量性状通常很复杂,因为许多基因座的贡献,加上环境因素的进一步复杂性。在医学研究中,系统遗传学是研究复杂性状的有力方法,因为它整合了中间表型,如 RNA、蛋白质和代谢物水平,以了解将离散 DNA 序列变异与复杂临床和生理性状联系起来的分子和生理表型。本文的主要目的是描述人类和啮齿动物模型中系统遗传学的一些资源和工具,以便生物学和医学许多领域的研究人员能够利用这些数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58ce/10645424/38506628937f/elife-91004-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58ce/10645424/72d7da65d818/elife-91004-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58ce/10645424/38506628937f/elife-91004-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58ce/10645424/72d7da65d818/elife-91004-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58ce/10645424/38506628937f/elife-91004-fig2.jpg

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