Genetic association mapping leveraging Gaussian processes

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
{"title":"Genetic association mapping leveraging Gaussian processes","authors":"Natsuhiko Kumasaka","doi":"10.1038/s10038-024-01259-0","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":16077,"journal":{"name":"Journal of Human Genetics","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s10038-024-01259-0.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Human Genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s10038-024-01259-0","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

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.

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用高斯过程绘制遗传关联图。
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Human Genetics
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.
期刊最新文献
Novel homozygous ESAM variants in two families with perinatal strokes showing variable neuroradiologic and clinical findings. Biallelic missense CEP55 variants cause prenatal MARCH syndrome. Two-hit mutation causes Wilms tumor in an individual with FBXW7-related neurodevelopmental syndrome. Genetic analysis of a Yayoi individual from the Doigahama site provides insights into the origins of immigrants to the Japanese Archipelago. Development of a method for the imputation of the multi-allelic serotonin-transporter-linked polymorphic region (5-HTTLPR) in the Japanese population.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1