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dc.contributor.authorWen, Cindy
dc.contributor.authorMargolis, Michael
dc.contributor.authorDai, Rujia
dc.contributor.authorZhang, Pan
dc.contributor.authorPrzytycki, Pawel F
dc.contributor.authorVo, Daniel D
dc.contributor.authorBhattacharya, Arjun
dc.contributor.authorMatoba, Nana
dc.contributor.authorTang, Miao
dc.contributor.authorJiao, Chuan
dc.contributor.authorKim, Minsoo
dc.contributor.authorTsai, Ellen
dc.contributor.authorHoh, Celine
dc.contributor.authorAygün, Nil
dc.contributor.authorWalker, Rebecca L
dc.contributor.authorChatzinakos, Christos
dc.contributor.authorClarke, Declan
dc.contributor.authorPratt, Henry E
dc.contributor.authorPeters, Mette A
dc.contributor.authorGerstein, Mark
dc.contributor.authorDaskalakis, Nikolaos P
dc.contributor.authorWeng, Zhiping
dc.contributor.authorJaffe, Andrew E
dc.contributor.authorKleinman, Joel E
dc.contributor.authorHyde, Thomas M
dc.contributor.authorWeinberger, Daniel R
dc.contributor.authorBray, Nicholas J
dc.contributor.authorSestan, Nenad
dc.contributor.authorGeschwind, Daniel H
dc.contributor.authorRoeder, Kathryn
dc.contributor.authorGusev, Alexander
dc.contributor.authorPasaniuc, Bogdan
dc.contributor.authorStein, Jason L
dc.contributor.authorLove, Michael I
dc.contributor.authorPollard, Katherine S
dc.contributor.authorLiu, Chunyu
dc.contributor.authorGandal, Michael J
dc.date.accessioned2024-07-02T17:29:56Z
dc.date.available2024-07-02T17:29:56Z
dc.date.issued2024-05-24
dc.identifier.citationWen C, Margolis M, Dai R, Zhang P, Przytycki PF, Vo DD, Bhattacharya A, Matoba N, Tang M, Jiao C, Kim M, Tsai E, Hoh C, Aygün N, Walker RL, Chatzinakos C, Clarke D, Pratt H; PsychENCODE Consortium†; Peters MA, Gerstein M, Daskalakis NP, Weng Z, Jaffe AE, Kleinman JE, Hyde TM, Weinberger DR, Bray NJ, Sestan N, Geschwind DH, Roeder K, Gusev A, Pasaniuc B, Stein JL, Love MI, Pollard KS, Liu C, Gandal MJ; PsychENCODE Consortium. Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain. Science. 2024 May 24;384(6698):eadh0829. doi: 10.1126/science.adh0829. Epub 2024 May 24. PMID: 38781368.en_US
dc.identifier.eissn1095-9203
dc.identifier.doi10.1126/science.adh0829en_US
dc.identifier.pmid38781368
dc.identifier.urihttp://hdl.handle.net/20.500.14038/53552
dc.description.abstractNeuropsychiatric genome-wide association studies (GWASs), including those for autism spectrum disorder and schizophrenia, show strong enrichment for regulatory elements in the developing brain. However, prioritizing risk genes and mechanisms is challenging without a unified regulatory atlas. Across 672 diverse developing human brains, we identified 15,752 genes harboring gene, isoform, and/or splicing quantitative trait loci, mapping 3739 to cellular contexts. Gene expression heritability drops during development, likely reflecting both increasing cellular heterogeneity and the intrinsic properties of neuronal maturation. Isoform-level regulation, particularly in the second trimester, mediated the largest proportion of GWAS heritability. Through colocalization, we prioritized mechanisms for about 60% of GWAS loci across five disorders, exceeding adult brain findings. Finally, we contextualized results within gene and isoform coexpression networks, revealing the comprehensive landscape of transcriptome regulation in development and disease.en_US
dc.language.isoen
dc.relationThis article is based on a previously available preprint in medRxiv, https://doi.org/10.1101/2023.03.03.23286706.en_US
dc.relation.ispartofScienceen_US
dc.relation.urlhttps://doi.org/10.1126/science.adh0829en_US
dc.titleCross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brainen_US
dc.typeJournal Articleen_US
dc.source.journaltitleScience (New York, N.Y.)
dc.source.volume384
dc.source.issue6698
dc.source.beginpageeadh0829
dc.source.endpage
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.identifier.journalScience (New York, N.Y.)
dc.contributor.departmentGenomics and Computational Biologyen_US
dc.contributor.departmentProgram in Bioinformatics and Integrative Biologyen_US


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