Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance

Acknowledgements: The computations and data handling were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at UPPMAX, Uppsala University, partially funded by the Swedish Research Council through grant agreement no. 2018-05973. This research has been conducted using the UK Biobank Resource under Application Number 22224. Funding: Open Access funding provided by Karolinska Institute. Open Access funding provided by Karolinska Institute. This work was financed by the Swedish Research Council (Grant 2018-02547, 2015-03255, 2019-01272, 2018-02077), the Swedish Cancer Society (Grants CAN 2016/684), the Stockholm County Council (Grant no. 20170088), the Karolinska Institutet’s Research Foundation (Grant 2018-02146), Karolinska Institutet’s Strategic Research Program in Epidemiology, King Gustaf V:s and Queen Victoria's Foundation of Freemasons, and the Åke Wibergs Foundation (M19-0294). FG was a Leopoldina Postdoctoral Fellow (Grant no. LPDS 2018-06) funded by the Academy of Sciences Leopoldina. Correction to: Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance (Human Genetics, (2020), 10.1007/s00439-020-02249-w) The data were exclusively retrieved from the UK Biobank and can be accessed upon request from the UK Biobank. The mitochondrial DNA abundance as computed in this manuscript will be reported back to the UK Biobank upon publication. The scripts to compute the weights and the weighted mtDNA abundance in the UKB dataset will be published at https://github.com/GrassmannLab/MT_UKB.Peer reviewedPublisher PD