Humans are far more prone to degenerative skeletal diseases than other apes. Our new @Nature paper uncovers the genetic changes that shaped our skeleton and uncovers a major clue to why it is so vulnerable to degeneration.🧵👇
nature.com/articles/s41586-0…
Humans are far more prone to degenerative skeletal diseases than other apes. Our new @Nature paper uncovers the genetic changes that shaped our skeleton and uncovers a major clue to why it is so vulnerable to degeneration.🧵👇
nature.com/articles/s41586-0…
Co-led with the wonderful @TakaInoue5 , and spearheaded by the super talented Yizhi Yan (experiments) and
@nadavmishol
(analyses), together with a fantastic team of collaborators.
And for more on the genetics of skeletal evolution, check out the wonderful recent work from the Capellini
lab lead by Alexander Okamoto pubmed.ncbi.nlm.nih.gov/4211…
Our approach was based on gene regulatory phenotyping, which predicts the direction, rather than magnitude, of phenotypic difference - a much more attainable goal. If you're interested in why and how this approach works, see: nature.com/articles/s41467-0…
Given two genomes, can you tell who’s taller or more prone to a disease? How confident can you be? A fresh take on phenotypic inference, now out in @NatureComms :
rdcu.be/exW4f
See thread🧵👇:
Importantly, unlike quantitative phenotypic predictions (e.g., based on polygenic scores), we show that our qualitative approach circumvents one of the biggest problems in population genetics – the limited transferability of genotype-phenotype association data across populations
Overall, we suggest that substantially more phenotypic information can be inferred from genetic data than previously appreciated @GiliGreenbaum@ShaiCarmi and Keith Harris