2021
DOI: 10.1530/ey.18.14.14
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The impact of sex on gene expression across human tissues

Abstract: Many complex human phenotypes exhibit sex-differentiated characteristics, however the underlying molecular mechanisms of these differences remain largely unknown. Here, we present an extensive catalog of both sex differences in gene expression and its genetic regulation across 44 human tissue sources surveyed by GTEx (v8 release). We demonstrate that sex strongly influences gene expression levels and cellular composition of tissue samples across the human body. The effect of sex on gene expression is widesprea… Show more

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Cited by 69 publications
(115 citation statements)
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“…Sex differences in polygenic effects on traits are clearly of high evolutionary [22][23][24][25][26] and translational [27][28][29][30][31] importance. Yet with the exception of testosterone levels [32][33][34][35] , the genetic basis of sexual dimorphism is not well-understood 31 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Sex differences in polygenic effects on traits are clearly of high evolutionary [22][23][24][25][26] and translational [27][28][29][30][31] importance. Yet with the exception of testosterone levels [32][33][34][35] , the genetic basis of sexual dimorphism is not well-understood 31 .…”
Section: Introductionmentioning
confidence: 99%
“…GxSex may be a result of sex differences in environmental contexts or epistatic interaction with sex chromosomes. Sex differences in polygenic effects on traits are clearly of high evolutionary 2226 and translational 2731 importance. Yet with the exception of testosterone levels 3235 , the genetic basis of sexual dimorphism is not well-understood 31 .…”
Section: Introductionmentioning
confidence: 99%
“…HDACs (11) HDAC1, HDAC2, HDAC3, HDAC4, HDAC5, HDAC6, HDAC7, HDAC8, HDAC9, HDAC10, HDAC11 SIRTs (7) SIRT1, SIRT2, SIRT3, SIRT4, SIRT5, SIRT6, SIRT7 o. These RNA-seq libraries were generated using non-strand specific, polyA-based Illumina TruSeq protocol and sequenced to a median depth of 78 million 76-bp paired-end reads.…”
Section: Table 1 Genes Considered In the Modelsmentioning
confidence: 99%
“…Now, these resources are being leveraged to estimate safety risk for drugs and to predict the outcomes of clinical trials [4][5][6], in hopes to reduce cost, time for drug development and potential side effects. Such analyses using the GTEx data have brought awareness to tissue specificity [1], cell specificity [7] and the impact of sex on key molecular pathways and transcriptional control mechanisms [7][8][9][10]. For example, the GTEx dataset has been useful in identifying heart-specific genes implicated in pathologies, and in exploring cardiac tissue-specific relationships and regulators as well as transcriptome-wide differences between the ventricles and the atria [8] [9,[11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
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