Ge Lin, Jun He, Yuankun Wang, Xiangyan Liu, Juan Du, Qianjun Zhang, Shihao Zhou, Lanping Hu, Jing He, Xiurong Li, Hao Hu, Liang Hu, Changgao Zhong, Wen-Bin He, Chan Peng, Zhen Xu, Jingjing Zhang, Yan Shu, Xuan Song, Wenqian Zhang, Guangxiu Lu, Zhiming Ou, Yue-Qiu Tan, Jiyang Liu
{"title":"Genetic rare disease prevention and control: Family-based screening and reproductive interventions in Changsha.","authors":"Ge Lin, Jun He, Yuankun Wang, Xiangyan Liu, Juan Du, Qianjun Zhang, Shihao Zhou, Lanping Hu, Jing He, Xiurong Li, Hao Hu, Liang Hu, Changgao Zhong, Wen-Bin He, Chan Peng, Zhen Xu, Jingjing Zhang, Yan Shu, Xuan Song, Wenqian Zhang, Guangxiu Lu, Zhiming Ou, Yue-Qiu Tan, Jiyang Liu","doi":"10.1016/j.xhgg.2025.100496","DOIUrl":null,"url":null,"abstract":"<p><p>Rare diseases pose a significant public health challenge, particularly in underserved regions such as China, where genomic diagnostic services and post-diagnosis management remain limited. This study assessed the effectiveness of a rare disease screening program in Changsha, China, which enrolled 85,391 couples between January 2022 and June 2023. Among these participants were 1,414 suspected high-risk couples undergoing genetic testing, with 562 found to be at high risk of having a child with a rare disease, yielding a positive rate of 39.75%. Reproductive interventions were implemented for 319 families, successfully preventing rare disease-affected births in 141 cases. Diagnostic findings informed reproductive decision-making in 25.09% of cases and altered fertility plans in 32.74%. Machine learning analysis further revealed that participation in a parent-offspring trio and a positive family history significantly increased diagnostic likelihood, while singleton recruitment and a negative history were associated with lower diagnostic success. This pilot program highlights the value of integrating genetic diagnostics with reproductive interventions, offering a replicable model for rare disease prevention and management.</p>","PeriodicalId":34530,"journal":{"name":"HGG Advances","volume":" ","pages":"100496"},"PeriodicalIF":3.6000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12424409/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HGG Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xhgg.2025.100496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Rare diseases pose a significant public health challenge, particularly in underserved regions such as China, where genomic diagnostic services and post-diagnosis management remain limited. This study assessed the effectiveness of a rare disease screening program in Changsha, China, which enrolled 85,391 couples between January 2022 and June 2023. Among these participants were 1,414 suspected high-risk couples undergoing genetic testing, with 562 found to be at high risk of having a child with a rare disease, yielding a positive rate of 39.75%. Reproductive interventions were implemented for 319 families, successfully preventing rare disease-affected births in 141 cases. Diagnostic findings informed reproductive decision-making in 25.09% of cases and altered fertility plans in 32.74%. Machine learning analysis further revealed that participation in a parent-offspring trio and a positive family history significantly increased diagnostic likelihood, while singleton recruitment and a negative history were associated with lower diagnostic success. This pilot program highlights the value of integrating genetic diagnostics with reproductive interventions, offering a replicable model for rare disease prevention and management.