Correction to: Journal of Human Genetics https://doi.org/10.1038/s10038-024-01266-1, published online 18 July 2024
In this article, the authors conducted a meta-analysis referring to their previous report (Mitsui J, Matsukawa T, Sasaki H, Yabe I, Matsushima M, Dürr A, et al. Variants associated with Gaucher disease in multiple system atrophy. Ann Clin Transl Neurol. 2015;2:417–26. https://doi.org/10.1002/acn3.185). In Table 2 that referred to this report, correct citations are MSA cases (AC = 1148) instead of MSA cases (AC = 1092) and p-value of 0.216 instead of 0.25. In the meta-analysis, 1092 was mistakenly used as the total number of alleles in MSA cases instead of 1148, the correct number. Consequently, the correct results of the meta-analysis are slightly different from those described in the original manuscript. However, the conclusions of the study regarding the association of the GBA1 variant with MSA remain the same. The following corrections have been made to the article:
In the abstract, “The meta-analysis incorporating a previous report demonstrated a significant association of p.L483P with MSA with an odds ratio of 2.92 (95% CI; 1.08 – 7.90, p = 0.0353).” should read “The meta-analysis incorporating a previous report demonstrated a significant association of p.L483P with MSA with an odds ratio of 2.85 (95% CI; 1.05 – 7.76, p = 0.0400).”
Figure 4 has been updated as shown below.
In the Results section, “Since between-study variability was not observed (I2 = 0%, τ2 = 0, p = 0.83), the common effects model was employed for the meta-analysis, which demonstrated the odds ratio of 2.92 (95% CI; 1.08 – 7.90, p = 0.0353)…” should read “Since between-study variability was not observed (I2 = 0%, τ2 = 0, p = 0.87), the common effects model was employed for the meta-analysis, which demonstrated the odds ratio of 2.85 (95% CI; 1.05 – 7.76, p = 0.0400)…”
The original article has been updated.
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Orimo, K., Mitsui, J., Matsukawa, T. et al. Correction: Association study of GBA1 variants with MSA based on comprehensive sequence analysis -Pitfalls in short-read sequence analysis depending on the human reference genome-. J Hum Genet 69, 679–680 (2024). https://doi.org/10.1038/s10038-024-01293-y
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DOI: https://doi.org/10.1038/s10038-024-01293-y
