Lappalainen, TuuliSammeth, MichaelFriedländer, Marc R‘t Hoen, Peter ACMonlong, JeanRivas, Manuel AGonzàlez-Porta, MarKurbatova, NataljaGriebel, ThassoFerreira, Pedro GBarann, MatthiasWieland, ThomasGreger, Lilianavan Iterson, MaartenAlmlöf, JonasRibeca, PaoloPulyakhina, IrinaEsser, DanielaGiger, ThomasTikhonov, AndrewSultan, MarcBertier, GabrielleMacArthur, DanielLek, MonkolLizano, EstherBuermans, Henk PJPadioleau, IsmaelSchwarzmayr, ThomasKarlberg, OlofOngen, HalitKilpinen, HelenaBeltran, SergiGut, MartaKahlem, KatjaAmstislavskiy, VyacheslavStegle, OliverPirinen, MattiMontgomery, Stephen BDonnelly, PeterMcCarthy, Mark IFlicek, PaulStrom, Tim MLehrach, HansSchreiber, StefanSudbrak, RalfCarracedo, ÁngelAntonarakis, Stylianos EHäsler, RobertSyvänen, Ann-Christinevan Ommen, Gert-JanBrazma, AlvisMeitinger, ThomasRosenstiel, PhilipGuigó, RodericGut, Ivo GEstivill, XavierDermitzakis, Emmanouil T2014-04-112013Lappalainen, T., M. Sammeth, M. R. Friedländer, P. A. ‘t Hoen, J. Monlong, M. A. Rivas, M. Gonzàlez-Porta, et al. 2013. “Transcriptome and genome sequencing uncovers functional variation in humans.” Nature 501 (7468): 506-511. doi:10.1038/nature12531. http://dx.doi.org/10.1038/nature12531.0028-0836http://nrs.harvard.edu/urn-3:HUL.InstRepos:12064518Summary Genome sequencing projects are discovering millions of genetic variants in humans, and interpretation of their functional effects is essential for understanding the genetic basis of variation in human traits. Here we report sequencing and deep analysis of mRNA and miRNA from lymphoblastoid cell lines of 462 individuals from the 1000 Genomes Project – the first uniformly processed RNA-seq data from multiple human populations with high-quality genome sequences. We discovered extremely widespread genetic variation affecting regulation of the majority of genes, with transcript structure and expression level variation being equally common but genetically largely independent. Our characterization of causal regulatory variation sheds light on cellular mechanisms of regulatory and loss-of-function variation, and allowed us to infer putative causal variants for dozens of disease-associated loci. Altogether, this study provides a deep understanding of the cellular mechanisms of transcriptome variation and of the landscape of functional variants in the human genome.en-USJournal Article2014-04-1110.1038/nature12531