利用高斯过程绘制遗传关联图。

IF 2.6 3区生物学 Q2 GENETICS & HEREDITY

Journal of Human Genetics Pub Date : 2024-06-04 DOI:10.1038/s10038-024-01259-0

Natsuhiko Kumasaka

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引用次数: 0

摘要

高斯过程（GPs）是在包括基因组学和遗传学在内的各个科学领域对非线性现象进行建模的一种强大而有用的方法。本综述重点介绍 GPs 在遗传关联图谱中的应用。其目的是在分子水平上确定改变连续细胞状态的基因调控的遗传变异，以及在群体水平上确定随时间和空间变化的疾病易感性。文章还探讨了这一领域的挑战和机遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Genetic association mapping leveraging Gaussian processes

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Genetic association mapping leveraging Gaussian processes

Gaussian processes (GPs) are a powerful and useful approach for modelling nonlinear phenomena in various scientific fields, including genomics and genetics. This review focuses on the application of GPs in genetic association mapping. The aim is to identify genetic variants that alter gene regulation along continuous cellular states at the molecular level, as well as disease susceptibility over time and space at the population level. The challenges and opportunities in this field are also addressed.

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来源期刊

Journal of Human Genetics 生物-遗传学

CiteScore

7.20

自引率

0.00%

发文量

101

审稿时长

4-8 weeks

期刊介绍： The Journal of Human Genetics is an international journal publishing articles on human genetics, including medical genetics and human genome analysis. It covers all aspects of human genetics, including molecular genetics, clinical genetics, behavioral genetics, immunogenetics, pharmacogenomics, population genetics, functional genomics, epigenetics, genetic counseling and gene therapy. Articles on the following areas are especially welcome: genetic factors of monogenic and complex disorders, genome-wide association studies, genetic epidemiology, cancer genetics, personal genomics, genotype-phenotype relationships and genome diversity.