nucleus genomics reports “longevity PGS scores” but these aren’t based on centenarians…
Anton Kulaga (oakvar) also has another PGS score metric that uses somewhat different alleles from what’s used in nucleus…
Not PGS yet tho
Michelle li has a presentation about contextual representation of rare variants Deep Learning for Diagnosing Patients with Rare Genetic Diseases - Zitnik Lab
Rare variants but this is cancer so unlikely to be aging https://x.com/LeGuenYann/status/1895609084403204487?s=19
https://www.science.org/doi/10.1126/sciadv.adr3757 (2024, recent on brain aging)
brainage gap:
colocalization analysis on eQTL and pQTL data, we prioritized seven genetically supported druggable genes, including MAPT , TNFSF12 , GZMB , SIRPB1 , GNLY , NMB , and C1RL
Seven druggable genes—MAPT , TNFSF12 , GZMB , SIRPB1 , GNLY , NMB , and C1RL —emerged as strong causal candidates for brain aging
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brain volume:
The current genome-wide association study examined graph theory measures of brain structural and functional networks with 497 healthy Chinese participants (17–28 years). Four genes (TGFB3 , LGI1 , TSPAN18 , and FAM155A ) were identified to be significantly associated with functional network global efficiency, and two (NLRP6 and ICE2 ) with structural network global efficiency. Meta-analysis of structural and functional brain network property confirmed the four functional-related genes and revealed two more (RBFOX1 and WWOX ). They were reported to be significantly associated with regional brain structural or functional measurements in the UK Biobank project
another brain volume PGS: Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries - PMC