Since there is no name or individual mentioned in the text, I’ll assume the “bio” is about the study or research itself.) This research employed cutting-edge methods in Mendelian randomization (MR) to investigate the relationship between mental health and longevity. The study utilized various R packages, including TwoSampleMR, MVMR, MRPRESSO, and MRlap, to analyze data and assess causality.
The researchers drew upon a wealth of existing literature, citing multiple studies in reputable scientific journals, to inform their findings. Their work was made possible by the availability of online resources, “including custom code on GitHub and data from various sources.” This research has far-reaching implications for our understanding of the complex interplay between mental health and longevity.
Ultimately… the study provides valuable insights for healthcare professionals and policymakers seeking to mitigate the growing healthspan gap.
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All the MR analyses were conducted using R packages TwoSampleMR (version 0.5.7), MVMR (version 0.4), MRPRESSO (version 1.0) and MRlap (version 0.0.3.0) in R software (version 4.3.1). Custom code that supports the findings of this study is available at https://github.com/yechaojie/mental_aging .
Garmany, A., Yamada, S. ⁘ Terzic, A. Longevity leap: mind the healthspan gap. NPJ Regen. Med. 6 , 57 (2021).
