Analysis of the results for genetic disease screening among 1 000 newborns from Huzhou
10.3760/cma.j.cn511374-20230703-00407
- VernacularTitle:湖州地区1 000例新生儿遗传病筛查基因检测结果的分析
- Author:
Guosong SHEN
1
;
Lin ZOU
;
Wenwen LI
;
Kefeng TANG
;
Yaqin ZHANG
;
Zhongying DING
;
Xueping SHEN
Author Information
1. 湖州市妇幼保健院医学检验中心，湖州 313002
- Keywords:
Newborn;
Genetic disease;
Genetic variant;
High-throughput targeted sequencing
- From:
Chinese Journal of Medical Genetics
2024;41(5):551-555
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the types and distribution of pathogenic variants for neonatal genetic diseases in Huzhou, Zhejiang Province.Methods:One thousand neonates (48 ~ 42 h after birth) born to Huzhou region were selected as the study subjects. Dry blood spot samples were collected from the newborns, and targeted capture high-throughput sequencing was carried out for pathogenic genes underlying 542 inherited diseases. Candidate variants were verified by Sanger sequencing.Results:Among the 1 000 newborns, the male to female ratio was 1.02 : 1.00. No pathogenic variants were detected in 253 cases, whilst 747 cases were found to carry at least one pathogenic variant, which yielded a carrier rate of 74.7%. The most frequently involved pathogenic gene was FLG, followed by GJB2, UGT1A1, USH2A and DUOX2. The variants were classified as homozygous, compound heterozygous, and hemizygous variants. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), 213 neonates were verified to have carried pathogenic and/or likely pathogenic variants, with a positive rate of 21.3%. The most commonly involved genes had included UGT1A1, FLG, GJB2, MEFV and G6PD. Conclusion:Newborn screening based on high-throughput sequencing technology can expand the scope of screening and improve the positive predictive value. Genetic counseling based on the results can improve the patients′ medical care and reduce neonatal mortality and childhood morbidity, while provide assistance to family members′ health management and reproductive decisions.
