Genetics in MedicineGeneticsPeer-reviewed journal article
Nationwide population genetic screening improves outcomes of newborn screening for hearing loss in China
Qiuju WangiD, Jiale XiangiD, Junwei SuniD, Yun Sik YangiD, Jing GuaniD, Dayong Wang, Cui SongiD, Ling Guo, Hongyang WangiD, Yaqiu CheniD, Junhong LengiD, Xiaman WangiD, Junqing ZhangiD, Bing HaniD, Jing Zou, Chengbin Yan, Lidong ZhaoiD, Hongyu Luo, Yuan HaniD, Wen Yuan, Hongyun ZhangiD, Wei WangiD, Jian WangiD, Huanming YangiD, Xun XuiD, , Zhiyu PengiD
Abstract
PurposeConcurrent newborn hearing and genetic screening has been reported, but its benefits have not been statistically proven due to limited sample sizes and outcome data. To fill this gap, we analyzed outcomes of a large number of newborns with genetic screening results.\n\nMethodsNewborns in China were screened for 20 hearing-loss-related genetic variants from 2012-2017. Genetic results were categorized as positive, at-risk, inconclusive, or negative. Hearing screening results, risk factors, and up-to-date hearing status were followed-up via phone interviews.\n\nResultsWe completed genetic screening on one million newborns and followed up 12,778. We found that a positive genetic result significantly indicated a higher positive predictive value of the initial hearing screening (60% vs. 5.0%, P<0.001) and a lower rate of loss-to-follow-up (5% vs. 22%, P<0.001) than an inconclusive one. Importantly, 42% of subjects in the positive group with reported or presymptomatic hearing loss were \"missed\" by conventional hearing screening. Furthermore, genetic screening identified 0.23% of subjects predisposed to preventable ototoxicity.\n\nConclusionOur results demonstrate that limited genetic screening identified additional cases, reduced loss-to-follow-up, and informed families of ototoxicity risks, providing convincing evidence to support integrating genetic screening into universal newborn hearing screening programs.
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: differential expression
- approach: statistical model
- Citations
- 69
- FWCI
- 4.72
- Field percentile
- top 4%
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