{"title":"经历瓶颈和增长的亚种群复杂性状的遗传率","authors":"Cameron S. Taylor, Daniel J. Lawson","doi":"10.1038/s10038-024-01249-2","DOIUrl":null,"url":null,"abstract":"Populations that have experienced a bottleneck are regularly used in Genome Wide Association Studies (GWAS) to investigate variants associated with complex traits. It is generally understood that these isolated sub-populations may experience high frequency of otherwise rare variants with large effect size, and therefore provide a unique opportunity to study said trait. However, the demographic history of the population under investigation affects all SNPs that determine the complex trait genome-wide, changing its heritability and genetic architecture. We use a simulation based approach to identify the impact of the demographic processes of drift, expansion, and migration on the heritability of complex trait. We show that demography has considerable impact on complex traits. We then investigate the power to resolve heritability of complex traits in GWAS studies subjected to demographic effects. We find that demography is an important component for interpreting inference of complex traits and has a nuanced impact on the power of GWAS. We conclude that demographic histories need to be explicitly modelled to properly quantify the history of selection on a complex trait.","PeriodicalId":16077,"journal":{"name":"Journal of Human Genetics","volume":"69 7","pages":"329-335"},"PeriodicalIF":2.6000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s10038-024-01249-2.pdf","citationCount":"0","resultStr":"{\"title\":\"Heritability of complex traits in sub-populations experiencing bottlenecks and growth\",\"authors\":\"Cameron S. Taylor, Daniel J. Lawson\",\"doi\":\"10.1038/s10038-024-01249-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Populations that have experienced a bottleneck are regularly used in Genome Wide Association Studies (GWAS) to investigate variants associated with complex traits. It is generally understood that these isolated sub-populations may experience high frequency of otherwise rare variants with large effect size, and therefore provide a unique opportunity to study said trait. However, the demographic history of the population under investigation affects all SNPs that determine the complex trait genome-wide, changing its heritability and genetic architecture. We use a simulation based approach to identify the impact of the demographic processes of drift, expansion, and migration on the heritability of complex trait. We show that demography has considerable impact on complex traits. We then investigate the power to resolve heritability of complex traits in GWAS studies subjected to demographic effects. We find that demography is an important component for interpreting inference of complex traits and has a nuanced impact on the power of GWAS. We conclude that demographic histories need to be explicitly modelled to properly quantify the history of selection on a complex trait.\",\"PeriodicalId\":16077,\"journal\":{\"name\":\"Journal of Human Genetics\",\"volume\":\"69 7\",\"pages\":\"329-335\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.nature.com/articles/s10038-024-01249-2.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Human Genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.nature.com/articles/s10038-024-01249-2\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Human Genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s10038-024-01249-2","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Heritability of complex traits in sub-populations experiencing bottlenecks and growth
Populations that have experienced a bottleneck are regularly used in Genome Wide Association Studies (GWAS) to investigate variants associated with complex traits. It is generally understood that these isolated sub-populations may experience high frequency of otherwise rare variants with large effect size, and therefore provide a unique opportunity to study said trait. However, the demographic history of the population under investigation affects all SNPs that determine the complex trait genome-wide, changing its heritability and genetic architecture. We use a simulation based approach to identify the impact of the demographic processes of drift, expansion, and migration on the heritability of complex trait. We show that demography has considerable impact on complex traits. We then investigate the power to resolve heritability of complex traits in GWAS studies subjected to demographic effects. We find that demography is an important component for interpreting inference of complex traits and has a nuanced impact on the power of GWAS. We conclude that demographic histories need to be explicitly modelled to properly quantify the history of selection on a complex trait.
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.