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":"37 1","pages":""},"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\":\"37 1\",\"pages\":\"\"},\"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}
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.