异质性分析为双相情感障碍的基因同质亚型提供了证据

Caroline C. McGrouther, Aaditya V. Rangan, Arianna Di Florio, Jeremy A. Elman, Nicholas J. Schork, John Kelsoe
{"title":"异质性分析为双相情感障碍的基因同质亚型提供了证据","authors":"Caroline C. McGrouther, Aaditya V. Rangan, Arianna Di Florio, Jeremy A. Elman, Nicholas J. Schork, John Kelsoe","doi":"arxiv-2405.00159","DOIUrl":null,"url":null,"abstract":"Bipolar disorder is a highly heritable brain disorder which affects an\nestimated 50 million people worldwide. Due to recent advances in genotyping\ntechnology and bioinformatics methodology, as well as the increase in the\noverall amount of available data, our understanding of the genetic\nunderpinnings of BD has improved. A growing consensus is that BD is polygenic\nand heterogeneous, but the specifics of that heterogeneity are not yet well\nunderstood. Here we use a recently developed technique to investigate the\ngenetic heterogeneity of bipolar disorder. We find strong statistical evidence\nfor a `bicluster': a subset of bipolar subjects that exhibits a\ndisease-specific genetic pattern. The structure illuminated by this bicluster\nreplicates in several other data-sets and can be used to improve BD\nrisk-prediction algorithms. We believe that this bicluster is likely to\ncorrespond to a genetically-distinct subtype of BD. More generally, we believe\nthat our biclustering approach is a promising means of untangling the\nunderlying heterogeneity of complex disease without the need for reliable\nsubphenotypic data.","PeriodicalId":501070,"journal":{"name":"arXiv - QuanBio - Genomics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder\",\"authors\":\"Caroline C. McGrouther, Aaditya V. Rangan, Arianna Di Florio, Jeremy A. Elman, Nicholas J. Schork, John Kelsoe\",\"doi\":\"arxiv-2405.00159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bipolar disorder is a highly heritable brain disorder which affects an\\nestimated 50 million people worldwide. Due to recent advances in genotyping\\ntechnology and bioinformatics methodology, as well as the increase in the\\noverall amount of available data, our understanding of the genetic\\nunderpinnings of BD has improved. A growing consensus is that BD is polygenic\\nand heterogeneous, but the specifics of that heterogeneity are not yet well\\nunderstood. Here we use a recently developed technique to investigate the\\ngenetic heterogeneity of bipolar disorder. We find strong statistical evidence\\nfor a `bicluster': a subset of bipolar subjects that exhibits a\\ndisease-specific genetic pattern. The structure illuminated by this bicluster\\nreplicates in several other data-sets and can be used to improve BD\\nrisk-prediction algorithms. We believe that this bicluster is likely to\\ncorrespond to a genetically-distinct subtype of BD. More generally, we believe\\nthat our biclustering approach is a promising means of untangling the\\nunderlying heterogeneity of complex disease without the need for reliable\\nsubphenotypic data.\",\"PeriodicalId\":501070,\"journal\":{\"name\":\"arXiv - QuanBio - Genomics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Genomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.00159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.00159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

躁郁症是一种高度遗传性的脑部疾病,据估计影响着全球 5000 万人。由于基因分型技术和生物信息学方法的最新进展,以及可用数据总量的增加,我们对躁狂症遗传基础的认识有所提高。越来越多的人认为 BD 具有多基因性和异质性,但对这种异质性的具体情况还不甚了解。在这里,我们使用一种最新开发的技术来研究双相情感障碍的遗传异质性。我们发现了 "双群集"(bicluster)的有力统计证据:双相情感障碍受试者的一个子集表现出一种特定的遗传模式。这个双集群所揭示的结构在其他几个数据集中也得到了复制,并可用于改进躁郁症风险预测算法。我们认为,这个双簇很可能对应于遗传学上不同的 BD 亚型。更广泛地说,我们认为我们的双聚类方法是一种很有前途的手段,它可以在不需要可靠的表型数据的情况下,解开复杂疾病的潜在异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder
Bipolar disorder is a highly heritable brain disorder which affects an estimated 50 million people worldwide. Due to recent advances in genotyping technology and bioinformatics methodology, as well as the increase in the overall amount of available data, our understanding of the genetic underpinnings of BD has improved. A growing consensus is that BD is polygenic and heterogeneous, but the specifics of that heterogeneity are not yet well understood. Here we use a recently developed technique to investigate the genetic heterogeneity of bipolar disorder. We find strong statistical evidence for a `bicluster': a subset of bipolar subjects that exhibits a disease-specific genetic pattern. The structure illuminated by this bicluster replicates in several other data-sets and can be used to improve BD risk-prediction algorithms. We believe that this bicluster is likely to correspond to a genetically-distinct subtype of BD. More generally, we believe that our biclustering approach is a promising means of untangling the underlying heterogeneity of complex disease without the need for reliable subphenotypic data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Allium Vegetables Intake and Digestive System Cancer Risk: A Study Based on Mendelian Randomization, Network Pharmacology and Molecular Docking wgatools: an ultrafast toolkit for manipulating whole genome alignments Selecting Differential Splicing Methods: Practical Considerations Advancements in colored k-mer sets: essentials for the curious Advancements in practical k-mer sets: essentials for the curious
×
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