Paul RHJ Timmers
@paulrhjtimmers.bsky.social
🧬 Data Scientist at BioAge Labs
🧬 Visiting Scholar at University of Edinburgh
Longevity drug discovery using causal inference, multi-omics, and large language (of life) models
#Longevity #Aging #Lifespan #Healthspan #MachineLearning #AI
🧬 Visiting Scholar at University of Edinburgh
Longevity drug discovery using causal inference, multi-omics, and large language (of life) models
#Longevity #Aging #Lifespan #Healthspan #MachineLearning #AI
The authors have made FGWAS statistics for 19 such phenotypes publicly available for use: thessgac.com/papers/16
March 13, 2025 at 10:27 AM
The authors have made FGWAS statistics for 19 such phenotypes publicly available for use: thessgac.com/papers/16
The authors highlight a new locus near BET1L with a non-linear effect on survival - it looks like Japanese individuals carrying two copies of the minor allele are expected to die around 2 years earlier than average (from any cause)
January 9, 2025 at 11:58 AM
The authors highlight a new locus near BET1L with a non-linear effect on survival - it looks like Japanese individuals carrying two copies of the minor allele are expected to die around 2 years earlier than average (from any cause)
Finally, Mendelian randomization suggests blood levels of LPA and VCAM1 proteins likely have causal, detrimental effects on aging-GIP1 🩸
Drugs lowering these protein levels may be able to extend our healthy years of life!
4/5
Drugs lowering these protein levels may be able to extend our healthy years of life!
4/5
January 9, 2025 at 12:13 PM
Finally, Mendelian randomization suggests blood levels of LPA and VCAM1 proteins likely have causal, detrimental effects on aging-GIP1 🩸
Drugs lowering these protein levels may be able to extend our healthy years of life!
4/5
Drugs lowering these protein levels may be able to extend our healthy years of life!
4/5
We combined genetic studies of #healthspan, father and mother #lifespan, exceptional #longevity, #frailty, and self-rated health to create an underlying latent #aging trait (aging-GIP1).
As always, the summary statistics are freely available: https://doi.org/10.7488/ds/2972
2/5
As always, the summary statistics are freely available: https://doi.org/10.7488/ds/2972
2/5
January 9, 2025 at 12:03 PM
We combined genetic studies of #healthspan, father and mother #lifespan, exceptional #longevity, #frailty, and self-rated health to create an underlying latent #aging trait (aging-GIP1).
As always, the summary statistics are freely available: https://doi.org/10.7488/ds/2972
2/5
As always, the summary statistics are freely available: https://doi.org/10.7488/ds/2972
2/5
To validate the role of haem metabolism in human ageing we performed a Mendelian randomisation analysis of blood iron levels on our combined GWAS and confirmed genetically higher iron levels were detrimental to healthy life. 4/5
January 9, 2025 at 12:13 PM
To validate the role of haem metabolism in human ageing we performed a Mendelian randomisation analysis of blood iron levels on our combined GWAS and confirmed genetically higher iron levels were detrimental to healthy life. 4/5
When meta-analysing these GWAS using MANOVA, we found 10 genomic loci associated with all three traits (including FOXO3 for the first time). Gene colocalisation and enrichment analysis showed haem metabolism genes were overrepresented in these shared regions. 3/5
January 9, 2025 at 12:08 PM
When meta-analysing these GWAS using MANOVA, we found 10 genomic loci associated with all three traits (including FOXO3 for the first time). Gene colocalisation and enrichment analysis showed haem metabolism genes were overrepresented in these shared regions. 3/5
Impressive predictive power of polygenic risk score for coronary artery disease (and others). Top 8% of individuals three times as likely to have the disease. #Genomics #PrecisionMedicine #CAD https://www.nature.com/articles/s41588-018-0183-z
January 9, 2025 at 11:52 AM
Impressive predictive power of polygenic risk score for coronary artery disease (and others). Top 8% of individuals three times as likely to have the disease. #Genomics #PrecisionMedicine #CAD https://www.nature.com/articles/s41588-018-0183-z