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Genome-wide analysis of brain age identifies 25 associated loci and unveils relationships with mental and physical health

2023-12-29

Abstract excerpt

Neuroimaging and machine learning are opening up new opportunities in studying biological aging mechanisms. In this field, ‘brain age gap’ has emerged as promising MRI-based biomarker quantifying the deviation between an individual’s biological and chronological age of the brain – an indicator of accelerated/decelerated aging. Here, we investigated the genetic architecture of brain age gap and its relationships wi...

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Literature Corpus work
227338e1-b025-5f83-aa41-44976a14d4b0
DOI
10.1101/2023.12.26.23300533
Open publication

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Genome-wide analysis of brain age identifies 25 associated loci and unveils relationships with mental and physical healthDOI 10.1101/2023.12.26.23300533
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