Jitse S. Amelink
@jsamelink.bsky.social
PhD candidate Computational neurogenetics @mpi-nl.bsky.social | EiC MPI TalkLing | #SciComm | #neuroimaging | #genomics | #language | #stats | #ML | #scienceblog | swim-bike-run | dad
Key insights (2):
➡️ Key language connectivity genes include EPHA3, PLCE1 and INPP5A
➡️ Brain traits relate to language-related polygenic scores
➡️ We observe genetic enrichment for evolutionary relevant loci
➡️ Exome provides additional insight into brain connectivity
➡️ Key language connectivity genes include EPHA3, PLCE1 and INPP5A
➡️ Brain traits relate to language-related polygenic scores
➡️ We observe genetic enrichment for evolutionary relevant loci
➡️ Exome provides additional insight into brain connectivity
September 8, 2025 at 3:35 PM
Key insights (2):
➡️ Key language connectivity genes include EPHA3, PLCE1 and INPP5A
➡️ Brain traits relate to language-related polygenic scores
➡️ We observe genetic enrichment for evolutionary relevant loci
➡️ Exome provides additional insight into brain connectivity
➡️ Key language connectivity genes include EPHA3, PLCE1 and INPP5A
➡️ Brain traits relate to language-related polygenic scores
➡️ We observe genetic enrichment for evolutionary relevant loci
➡️ Exome provides additional insight into brain connectivity
Key insights (1):
➡️ Gene mapping is associative in nature
➡️ Neuroimaging is an informative intermediate for language
➡️ Different brain traits both yield different genetics and converge
➡️ Gene mapping is associative in nature
➡️ Neuroimaging is an informative intermediate for language
➡️ Different brain traits both yield different genetics and converge
September 8, 2025 at 3:35 PM
Key insights (1):
➡️ Gene mapping is associative in nature
➡️ Neuroimaging is an informative intermediate for language
➡️ Different brain traits both yield different genetics and converge
➡️ Gene mapping is associative in nature
➡️ Neuroimaging is an informative intermediate for language
➡️ Different brain traits both yield different genetics and converge