2016
DOI: 10.1186/s12864-016-2400-4
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Comprehensive identification of sexually dimorphic genes in diverse cattle tissues using RNA-seq

Abstract: BackgroundMolecular mechanisms associated with sexual dimorphism in cattle have not been well elucidated. Furthermore, as recent studies have implied that gene expression patterns are highly tissue specific, it is essential to investigate gene expression in a variety of tissues using RNA-seq. Here, we employed and compared two statistical methods, a simple two group test and Analysis of deviance (ANODEV), in order to investigate bovine sexually dimorphic genes in 40 RNA-seq samples distributed across two facto… Show more

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Cited by 20 publications
(25 citation statements)
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“…Since sexually dimorphic genes have been shown to have tissue-specific patterns [2022], it is possible that we may observe differences in the genetic control of gene expression across sexes if expression intensities are measured in other tissues. For example, if we measure gene expression in brain tissue, we may observe more cases where the genetic control of the expression of genes related to neurological and psychiatric disorders differs across the sexes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Since sexually dimorphic genes have been shown to have tissue-specific patterns [2022], it is possible that we may observe differences in the genetic control of gene expression across sexes if expression intensities are measured in other tissues. For example, if we measure gene expression in brain tissue, we may observe more cases where the genetic control of the expression of genes related to neurological and psychiatric disorders differs across the sexes.…”
Section: Discussionmentioning
confidence: 99%
“…Overall, there has been weak evidence for sex-specific eQTLs, which range from claims that 15% of detected cis -eQTLs show sex-specific effects in lymphoblastoid cell lines [17], to six autosomal and X chromosome genes showing sex-specific eQTLs in whole blood [19], to zero detected sex-specific eQTLs in cerebellar and frontal cortex brain tissue [18]. Potential reasons for these observations are: (1) the contribution of genotype-by-sex interactions to variation in gene expression may be tissue-specific, since sexually dimorphic genes have shown tissue-specific patterns [2022]; (2) without sufficiently large sample sizes, the power to detect sex-specific eQTLs can be low, since there would need to be a correction to the significance threshold to account for both the number of genetic variants and the number of genes tested; or (3) the contribution of genotype-by-sex interactions to variation in gene expression occurs in a small number of genes, and, on average, males and females share the same common genetic control of gene expression.…”
Section: Introductionmentioning
confidence: 99%
“…Instead, we applied genome annotation of BosTau7 to the expression data, and checked differential expression of XIST between sexes. XIST appeared as one of the most differentially expressed genes in all of the examined tissues (Seo et al 2016). …”
Section: Identification Of Sexually Dimorphic Gene Expressionmentioning
confidence: 96%
“…There are two approaches for identification of sexual dimorphic genes using RNA-seq data composed of two factors, gender and tissues (Seo et al 2016). The simplest approach for analysis of this data is to perform a two group test between data from female and males in each tissue, separately, as has been performed in previous studies (Yang et al 2006) using microarray data.…”
Section: Identification Of Sexually Dimorphic Gene Expressionmentioning
confidence: 99%
“…In these studies, gene expression is tested for mean differences between the sexes to identify sets of sex-differentially expressed genes within each tissue. These sets of genes are then compared across tissues, where genes that are not found at the intersection are deemed TSSD (14)(15)(16)(17)(18)(19). This analytical approach is limited in that first, there is no formal statistical testing when comparing sex-differentially expressed genes across tissues; second, there is no consideration for differences in the direction and magnitude of sex-differentiated expression across tissue-types; and finally, failure to account for repeated observations from the same individual increases the rates of false-positive and falsenegative associations.…”
Section: Introductionmentioning
confidence: 99%