Asst Prof @WeizmannScience. Studying how gene regulation has shaped human evolution. Especially fond of Neanderthals and Denisovans. david-gokhman.bsky.social

Israel
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…
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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…
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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.
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Denisovans or their close relatives identified in the fossil record using a gene regulatory phenotyping method. Now out: pnas.org/doi/10.1073/pnas.25…
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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…
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It was a true pleasure to work on this with @nadavmishol , @lirancarmel , Gadi Herzlinger, Uzy Smilansky, and Yoel Rak.
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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🧵👇:
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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
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Overall, we suggest that substantially more phenotypic information can be inferred from genetic data than previously appreciated @GiliGreenbaum @ShaiCarmi and Keith Harris
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