{"title":"13三体的死亡率模式和表型簇:一项来自日本的基于人群的研究。","authors":"Narumi Kato, Naho Morisaki, Akinori Moriichi","doi":"10.1002/ajmg.a.64269","DOIUrl":null,"url":null,"abstract":"<p><p>Trisomy 13, the third most common autosomal trisomy after trisomy 21 and trisomy 18, is associated with a significantly high infant mortality rate. However, large-scale studies examining causes of death in trisomy 13 remain scarce. Therefore, we aimed to better understand the mortality patterns. To this end, a population-based study was conducted using Japanese population-based mortality data from the Vital Statistics Database (n = 4,230,092 death records); we examined early mortality and identified phenotypic subgroups based on combinations of co-occurring causes of death. We identified 150 individuals with trisomy 13 who died between 2019 and 2021. Cardiovascular disease was significantly associated with early mortality. Using K-means clustering based on principal components of cause-of-death categories, we identified three distinct subgroups: respiratory-dominant (19%), cardiovascular-dominant (64%), and multi-organ involvement (17%). The cardiovascular-dominant cluster showed the highest rate of death before age 1 (83%; p = 0.001), while surgical intervention rates did not significantly differ across clusters. These findings highlight phenotypic heterogeneity and may support individualized care planning for trisomy 13 and provide insights that may support future care and decision-making.</p>","PeriodicalId":7507,"journal":{"name":"American Journal of Medical Genetics Part A","volume":" ","pages":"e64269"},"PeriodicalIF":1.7000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mortality Patterns and Phenotypic Clusters in Trisomy 13: A Population-Based Study From Japan.\",\"authors\":\"Narumi Kato, Naho Morisaki, Akinori Moriichi\",\"doi\":\"10.1002/ajmg.a.64269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Trisomy 13, the third most common autosomal trisomy after trisomy 21 and trisomy 18, is associated with a significantly high infant mortality rate. However, large-scale studies examining causes of death in trisomy 13 remain scarce. Therefore, we aimed to better understand the mortality patterns. To this end, a population-based study was conducted using Japanese population-based mortality data from the Vital Statistics Database (n = 4,230,092 death records); we examined early mortality and identified phenotypic subgroups based on combinations of co-occurring causes of death. We identified 150 individuals with trisomy 13 who died between 2019 and 2021. Cardiovascular disease was significantly associated with early mortality. Using K-means clustering based on principal components of cause-of-death categories, we identified three distinct subgroups: respiratory-dominant (19%), cardiovascular-dominant (64%), and multi-organ involvement (17%). The cardiovascular-dominant cluster showed the highest rate of death before age 1 (83%; p = 0.001), while surgical intervention rates did not significantly differ across clusters. These findings highlight phenotypic heterogeneity and may support individualized care planning for trisomy 13 and provide insights that may support future care and decision-making.</p>\",\"PeriodicalId\":7507,\"journal\":{\"name\":\"American Journal of Medical Genetics Part A\",\"volume\":\" \",\"pages\":\"e64269\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Medical Genetics Part A\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1002/ajmg.a.64269\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Medical Genetics Part A","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/ajmg.a.64269","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Mortality Patterns and Phenotypic Clusters in Trisomy 13: A Population-Based Study From Japan.
Trisomy 13, the third most common autosomal trisomy after trisomy 21 and trisomy 18, is associated with a significantly high infant mortality rate. However, large-scale studies examining causes of death in trisomy 13 remain scarce. Therefore, we aimed to better understand the mortality patterns. To this end, a population-based study was conducted using Japanese population-based mortality data from the Vital Statistics Database (n = 4,230,092 death records); we examined early mortality and identified phenotypic subgroups based on combinations of co-occurring causes of death. We identified 150 individuals with trisomy 13 who died between 2019 and 2021. Cardiovascular disease was significantly associated with early mortality. Using K-means clustering based on principal components of cause-of-death categories, we identified three distinct subgroups: respiratory-dominant (19%), cardiovascular-dominant (64%), and multi-organ involvement (17%). The cardiovascular-dominant cluster showed the highest rate of death before age 1 (83%; p = 0.001), while surgical intervention rates did not significantly differ across clusters. These findings highlight phenotypic heterogeneity and may support individualized care planning for trisomy 13 and provide insights that may support future care and decision-making.
期刊介绍:
The American Journal of Medical Genetics - Part A (AJMG) gives you continuous coverage of all biological and medical aspects of genetic disorders and birth defects, as well as in-depth documentation of phenotype analysis within the current context of genotype/phenotype correlations. In addition to Part A , AJMG also publishes two other parts:
Part B: Neuropsychiatric Genetics , covering experimental and clinical investigations of the genetic mechanisms underlying neurologic and psychiatric disorders.
Part C: Seminars in Medical Genetics , guest-edited collections of thematic reviews of topical interest to the readership of AJMG .