Genre
Journal ArticleDate
2017-10-11Author
Aguet, FBrown, AA
Castel, SE
Davis, JR
He, Y
Jo, B
Mohammadi, P
Park, YS
Parsana, P
Segrè, AV
Strober, BJ
Zappala, Z
Cummings, BB
Gelfand, ET
Hadley, K
Huang, KH
Lek, M
Li, X
Nedzel, JL
Nguyen, DY
Noble, MS
Sullivan, TJ
Tukiainen, T
MacArthur, DG
Getz, G
Addington, A
Guan, P
Koester, S
Little, AR
Lockhart, NC
Moore, HM
Rao, A
Struewing, JP
Volpi, S
Brigham, LE
Hasz, R
Hunter, M
Johns, C
Johnson, M
Kopen, G
Leinweber, WF
Lonsdale, JT
McDonald, A
Mestichelli, B
Myer, K
Roe, B
Salvatore, M
Shad, S
Thomas, JA
Walters, G
Washington, M
Wheeler, J
Bridge, J
Foster, BA
Gillard, BM
Karasik, E
Kumar, R
Miklos, M
Moser, MT
Jewell, SD
Montroy, RG
Rohrer, DC
Valley, D
Mash, DC
Davis, DA
Sobin, L
Barcus, ME
Branton, PA
Abell, NS
Balliu, B
Delaneau, O
Frésard, L
Gamazon, ER
Garrido-Martín, D
Gewirtz, ADH
Gliner, G
Gloudemans, MJ
Han, B
He, AZ
Hormozdiari, F
Li, X
Liu, B
Kang, EY
McDowell, IC
Ongen, H
Palowitch, JJ
Peterson, CB
Quon, G
Ripke, S
Saha, A
Shabalin, AA
Shimko, TC
Sul, JH
Teran, NA
Tsang, EK
Zhang, H
Zhou, YH
Bustamante, CD
Cox, NJ
Guigó, R
Subject
AllelesChromosomes, Human
Disease
Female
Gene Expression Profiling
Gene Expression Regulation
Genetic Variation
Genome, Human
Genotype
Humans
Male
Organ Specificity
Quantitative Trait Loci
Permanent link to this record
http://hdl.handle.net/20.500.12613/4870
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Show full item recordDOI
10.1038/nature24277Abstract
© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.Citation to related work
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http://dx.doi.org/10.34944/dspace/4852