Mixed model-based eQTL analysis reveals lncRNAs associated with regulation of genes involved in sex determination and spermatogenesis: The key to understanding human gender imbalance. (August 2022)
- Record Type:
- Journal Article
- Title:
- Mixed model-based eQTL analysis reveals lncRNAs associated with regulation of genes involved in sex determination and spermatogenesis: The key to understanding human gender imbalance. (August 2022)
- Main Title:
- Mixed model-based eQTL analysis reveals lncRNAs associated with regulation of genes involved in sex determination and spermatogenesis: The key to understanding human gender imbalance
- Authors:
- An, Yeeun
Lee, Chaeyoung - Abstract:
- Abstract: Background: An imbalance in the prenatal sex ratio in humans may be due to several factors affecting sperm physiology, including genetic features. In this study, we conducted a transcriptome-wide analysis of expression quantitative trait loci (eQTLs) to identify target genes associated with previously described QTLs associated with gender imbalance. Methods: A mixed model explaining polygenic effects by genomic covariance among individuals was used to identify the eQTLs using gene expression and genotype data from 462 European/African individuals. Results: Eight eGenes were associated with four QTLs ( P < 4.00 × 10 -5 ), with strong associations found ( P < 4.00 × 10 -8 ) between rs2485007 and eGenes ANKRD26P3 ( P = 3.40 × 10 -9 ) and LINC00421 ( P = 1.35 × 10 -9 ). ANKRD26P3 and LINC00421 are both lncRNAs associated with the control of testis-dominant genes PELP1, TAF15, NANOG, TEX14, TCF3, ZNF433, ZNF555, TEX37, FATE1, TCP11, and CYLC2 and Y-linked genes SRY and ZFY, as well as several genes with roles in spermatogenesis ( ODF1, SPATC1, SPATA3, SPATA31E1, SPERT, SPATA16, MOSPD1, SPATA24, and SPO11 ) and sex determination (SOX family genes). Conclusions: The above eGenes contribute directly or indirectly to gene regulation for sex determination and spermatogenesis, thereby serving as important functional clues for gender-biased selection. Graphical Abstract: ga1 Highlights: Genetic factors for sperm activity may cause human prenatal sex ratio imbalance.Abstract: Background: An imbalance in the prenatal sex ratio in humans may be due to several factors affecting sperm physiology, including genetic features. In this study, we conducted a transcriptome-wide analysis of expression quantitative trait loci (eQTLs) to identify target genes associated with previously described QTLs associated with gender imbalance. Methods: A mixed model explaining polygenic effects by genomic covariance among individuals was used to identify the eQTLs using gene expression and genotype data from 462 European/African individuals. Results: Eight eGenes were associated with four QTLs ( P < 4.00 × 10 -5 ), with strong associations found ( P < 4.00 × 10 -8 ) between rs2485007 and eGenes ANKRD26P3 ( P = 3.40 × 10 -9 ) and LINC00421 ( P = 1.35 × 10 -9 ). ANKRD26P3 and LINC00421 are both lncRNAs associated with the control of testis-dominant genes PELP1, TAF15, NANOG, TEX14, TCF3, ZNF433, ZNF555, TEX37, FATE1, TCP11, and CYLC2 and Y-linked genes SRY and ZFY, as well as several genes with roles in spermatogenesis ( ODF1, SPATC1, SPATA3, SPATA31E1, SPERT, SPATA16, MOSPD1, SPATA24, and SPO11 ) and sex determination (SOX family genes). Conclusions: The above eGenes contribute directly or indirectly to gene regulation for sex determination and spermatogenesis, thereby serving as important functional clues for gender-biased selection. Graphical Abstract: ga1 Highlights: Genetic factors for sperm activity may cause human prenatal sex ratio imbalance. Transcriptome-wide eQTL analyses identified 8 eGenes for sex imbalance. Most significant eGenes encode lncRNAs, ANKRD26P3 and LINC00421. The lncRNAs target genes involved in sex determination and spermatogenesis genes. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 99(2022)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 99(2022)
- Issue Display:
- Volume 99, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 99
- Issue:
- 2022
- Issue Sort Value:
- 2022-0099-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08
- Subjects:
- EM Expectation-maximization -- QTL Quantitative trait locus -- REML Restricted maximum likelihood -- eGenes expression genes -- eQTL expression QTL -- GTEx Genotype-Tissue Expression -- lncRNA long noncoding RNA -- neQTL narrow-sense eQTL -- sQTL splicing QTL -- SRY sex-determining region Y
Expression quantitative trait loci -- Functional variant -- Gender imbalance -- Gene expression -- Mixed model -- Sex determination
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2022.107713 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3390.576700
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