The prevalence of spinal muscular atrophy carrier in China: Evidences from epidemiological surveys.

INTRODUCTION

Spinal muscular atrophy (SMA) was the second most fatal autosomal recessive hereditary disease in clinic. There had been no detailed study to characterize the prevalence of SMA carrier among people in China. So, we conducted a systematic review and meta-analysis to obtain a reliable estimation of the prevalence of SMA carrier to characterize its epidemiology for the first time.

METHODS

We systematically searched for articles in kinds of important electronic databases, including PubMed, Embase, Wanfang Database and China National Knowledge Infrastructure (CNKI) to identify all relevant literatures about carrier rates of SMA in China. The prevalence was performed by forest plot choosing random effect models. The publication bias was evaluated by means of funnel plots and Egger test. The sensitivity analysis was carried out by the method of omitting any literature at a time. Combined with the results of subgroup analysis, the source of heterogeneity was also discussed absolutely.

RESULTS

A total of 10 studies published between 2005 and 2016 were included in our analysis at last. The sample size ranged from 264 to 107,611 in included studies. The random effect models of meta-analysis showed that the overall carrier rate of SMA was 2.0% (95% confidence interval [CI], 1.7%-2.3%) in a heterogeneous set of studies (I = 64%). There was a gradual rise trend observed in the SMA carrier rate during the study period. The funnel plots and Egger test (Coef = 0.02, t = -0.45, P = .667 > .05) showed no obvious potential risk of publication bias.

CONCLUSION

The overall carrying rate of SMA was high as 2.0% and may be on a slow upward trend. So it was recommended that the countries should take active and effective measures to roll out routine prenatal screening and health genetic counseling for SMA as early as possible. What is more, further studies also need to be conducted to explore the etiology and epidemic factors of SMA to better control the risk of this common birth defect.