Amanda J Lea, Andrew G Clark, Andrew W Dahl, Orrin Devinsky, Angela R Garcia, Christopher D Golden, Joseph Kamau, Thomas S Kraft, Yvonne A L Lim, Dino J Martins, Donald Mogoi, Päivi Pajukanta, George H Perry, Herman Pontzer, Benjamin C Trumble, Samuel S Urlacher, Vivek V Venkataraman, Ian J Wallace, Michael Gurven, Daniel E Lieberman, Julien F Ayroles
{"title":"应用进化错配框架来理解疾病易感性。","authors":"Amanda J Lea, Andrew G Clark, Andrew W Dahl, Orrin Devinsky, Angela R Garcia, Christopher D Golden, Joseph Kamau, Thomas S Kraft, Yvonne A L Lim, Dino J Martins, Donald Mogoi, Päivi Pajukanta, George H Perry, Herman Pontzer, Benjamin C Trumble, Samuel S Urlacher, Vivek V Venkataraman, Ian J Wallace, Michael Gurven, Daniel E Lieberman, Julien F Ayroles","doi":"10.1371/journal.pbio.3002311","DOIUrl":null,"url":null,"abstract":"<p><p>Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of \"lifestyle\" diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be \"mismatched\" and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit \"genotype by environment\" (GxE) interactions, with different health effects in \"ancestral\" versus \"modern\" environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the \"matched\" to \"mismatched\" spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures.</p>","PeriodicalId":20240,"journal":{"name":"PLoS Biology","volume":null,"pages":null},"PeriodicalIF":7.8000,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513379/pdf/","citationCount":"0","resultStr":"{\"title\":\"Applying an evolutionary mismatch framework to understand disease susceptibility.\",\"authors\":\"Amanda J Lea, Andrew G Clark, Andrew W Dahl, Orrin Devinsky, Angela R Garcia, Christopher D Golden, Joseph Kamau, Thomas S Kraft, Yvonne A L Lim, Dino J Martins, Donald Mogoi, Päivi Pajukanta, George H Perry, Herman Pontzer, Benjamin C Trumble, Samuel S Urlacher, Vivek V Venkataraman, Ian J Wallace, Michael Gurven, Daniel E Lieberman, Julien F Ayroles\",\"doi\":\"10.1371/journal.pbio.3002311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of \\\"lifestyle\\\" diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be \\\"mismatched\\\" and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit \\\"genotype by environment\\\" (GxE) interactions, with different health effects in \\\"ancestral\\\" versus \\\"modern\\\" environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the \\\"matched\\\" to \\\"mismatched\\\" spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures.</p>\",\"PeriodicalId\":20240,\"journal\":{\"name\":\"PLoS Biology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2023-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513379/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PLoS Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1371/journal.pbio.3002311\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLoS Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1371/journal.pbio.3002311","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Applying an evolutionary mismatch framework to understand disease susceptibility.
Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of "lifestyle" diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be "mismatched" and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit "genotype by environment" (GxE) interactions, with different health effects in "ancestral" versus "modern" environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the "matched" to "mismatched" spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures.
期刊介绍:
PLOS Biology is an open-access, peer-reviewed general biology journal published by PLOS, a nonprofit organization of scientists and physicians dedicated to making the world's scientific and medical literature freely accessible. The journal publishes new articles online weekly, with issues compiled and published monthly.
ISSN Numbers:
eISSN: 1545-7885
ISSN: 1544-9173