Reply: Mitochondrial replacement and its effects on human health: accounting for non-independence of data in meta-analyses

Ralph Dobler; Damian K. Dowling; Edward H. Morrow; Klaus Reinhardt

doi:10.1093/humupd/dmz010

Reply: Mitochondrial replacement and its effects on human health: accounting for non-independence of data in meta-analyses

Ralph Dobler, Damian K. Dowling, Edward H. Morrow, Klaus Reinhardt

School of Biological Sciences

Research output: Contribution to journal › Article › Other › peer-review

Abstract

In a letter regarding our recent meta-analysis (Dobler et al., 2018) showing pervasive health effects of mitochondrial replacement (MR), Eyre-Walker (2018) suggested that our treatment of non-independence of data results in our analysis being obsolete. Below we explain why we consider this statement is incorrect.

The letter stated that the majority of the data points in our study originated from the same set of beetle or mouse strains, and effect size estimates are, therefore, inflated. We disagree; only three pairs of studies used the same strains—but these investigated different traits.

Original language	English
Pages (from-to)	392-394
Number of pages	3
Journal	Human Reproduction Update
Volume	25
Issue number	3
DOIs	https://doi.org/10.1093/humupd/dmz010
Publication status	Published - 1 May 2019

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10.1093/humupd/dmz010

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abstract = "In a letter regarding our recent meta-analysis (Dobler et al., 2018) showing pervasive health effects of mitochondrial replacement (MR), Eyre-Walker (2018) suggested that our treatment of non-independence of data results in our analysis being obsolete. Below we explain why we consider this statement is incorrect.The letter stated that the majority of the data points in our study originated from the same set of beetle or mouse strains, and effect size estimates are, therefore, inflated. We disagree; only three pairs of studies used the same strains—but these investigated different traits.",

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Reply: Mitochondrial replacement and its effects on human health: accounting for non-independence of data in meta-analyses

Abstract

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