A novel Y-specific long non-coding RNA associated with cellular lipid accumulation in HepG2 cells and Atherosclerosis-related genes
- Molina, Elsa, Chew, Guat, Myers, Stephen, Clarence, Elyse, Eales, James, Tomaszewski, Maciej, Charchar, Fadi
- Authors: Molina, Elsa , Chew, Guat , Myers, Stephen , Clarence, Elyse , Eales, James , Tomaszewski, Maciej , Charchar, Fadi
- Date: 2017
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 7, no. 1 (2017), p. 1-12
- Relation: http://purl.org/au-research/grants/nhmrc/1009490
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- Description: There is an increasing appreciation for the role of the human Y chromosome in phenotypic differences between the sexes in health and disease. Previous studies have shown that genetic variation within the Y chromosome is associated with cholesterol levels, which is an established risk factor for atherosclerosis, the underlying cause of coronary artery disease (CAD), a major cause of morbidity and mortality worldwide. However, the exact mechanism and potential genes implicated are still unidentified. To date, Y chromosome-linked long non-coding RNAs (lncRNAs) are poorly characterized and the potential link between these new regulatory RNA molecules and hepatic function in men has not been investigated. Advanced technologies of lncRNA subcellular localization and silencing were used to identify a novel intergenic Y-linked lncRNA, named lnc-KDM5D-4, and investigate its role in fatty liver-associated atherosclerosis. We found that lnc-KDM5D-4 is retained within the nucleus in hepatocytes. Its knockdown leads to changes in genes leading to increased lipid droplets formation in hepatocytes resulting in a downstream effect contributing to the chronic inflammatory process that underpin CAD. Our findings provide the first evidence for the implication of lnc-KDM5D-4 in key processes related to fatty liver and cellular inflammation associated with atherosclerosis and CAD in men.
- Authors: Molina, Elsa , Chew, Guat , Myers, Stephen , Clarence, Elyse , Eales, James , Tomaszewski, Maciej , Charchar, Fadi
- Date: 2017
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 7, no. 1 (2017), p. 1-12
- Relation: http://purl.org/au-research/grants/nhmrc/1009490
- Full Text:
- Reviewed:
- Description: There is an increasing appreciation for the role of the human Y chromosome in phenotypic differences between the sexes in health and disease. Previous studies have shown that genetic variation within the Y chromosome is associated with cholesterol levels, which is an established risk factor for atherosclerosis, the underlying cause of coronary artery disease (CAD), a major cause of morbidity and mortality worldwide. However, the exact mechanism and potential genes implicated are still unidentified. To date, Y chromosome-linked long non-coding RNAs (lncRNAs) are poorly characterized and the potential link between these new regulatory RNA molecules and hepatic function in men has not been investigated. Advanced technologies of lncRNA subcellular localization and silencing were used to identify a novel intergenic Y-linked lncRNA, named lnc-KDM5D-4, and investigate its role in fatty liver-associated atherosclerosis. We found that lnc-KDM5D-4 is retained within the nucleus in hepatocytes. Its knockdown leads to changes in genes leading to increased lipid droplets formation in hepatocytes resulting in a downstream effect contributing to the chronic inflammatory process that underpin CAD. Our findings provide the first evidence for the implication of lnc-KDM5D-4 in key processes related to fatty liver and cellular inflammation associated with atherosclerosis and CAD in men.
Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies
- Morris, Andrew, Le, Thu, Wu, Haojia, Akbarov, Artur, van der Most, Peter, Hemani, Gibran, Smith, George, Mahajan, Anubha, Gaulton, Kyle, Nadkarni, Girish, Valladares-Salgado, Adan, Wacher-Rodarte, Niels, Mychaleckyj, Josyf, Dueker, Nicole, Guo, Xiuqing, Hai, Yang, Haessler, Jeffrey, Kamatani, Yoichiro, Stilp, Adrienne, Zhu, Gu, Cook, James, Arnlov, Johan, Blanton, Susan, de Borst, Martin, Bottinger, Erwin, Buchanan, Thomas, Cechova, Sylvia, Charchar, Fadi, Chu, Pei-Lun, Damman, Jeffrey, Eales, James, Gharavi, Ali, Giedraitis, Vilmantas, Heath, Andrew, Ipp, Eli, Kiryluk, Krzysztof, Kramer, Holly, Kubo, Michiaki, Larsson, Anders, Lindgren, Cecilia, Lu, Yingchang, Madden, Pamela, Montgomery, Grant, Papanicolaou, George, Raffel, Leslie, Sacco, Ralph, Sanchez, Elena, Stark, Holger, Sundstrom, Johan, Taylor, Kent, Xiang, Anny, Zivkovic, Aleksandra, Lind, Lars, Ingelsson, Erik, Martin, Nicholas, Whitfield, John, Cai, Jianwen, Laurie, Cathy, Okada, Yukinori, Matsuda, Koichi, Kooperberg, Charles, Chen, Yii-Der, Rundek, Tatjana, Rich, Stephen, Loos, Ruth, Parra, Esteban, Cruz, Miguel, Rotter, Jerome, Snieder, Harold, Tomaszewski, Maciej, Humphreys, Benjamin, Franceschini, Nora
- Authors: Morris, Andrew , Le, Thu , Wu, Haojia , Akbarov, Artur , van der Most, Peter , Hemani, Gibran , Smith, George , Mahajan, Anubha , Gaulton, Kyle , Nadkarni, Girish , Valladares-Salgado, Adan , Wacher-Rodarte, Niels , Mychaleckyj, Josyf , Dueker, Nicole , Guo, Xiuqing , Hai, Yang , Haessler, Jeffrey , Kamatani, Yoichiro , Stilp, Adrienne , Zhu, Gu , Cook, James , Arnlov, Johan , Blanton, Susan , de Borst, Martin , Bottinger, Erwin , Buchanan, Thomas , Cechova, Sylvia , Charchar, Fadi , Chu, Pei-Lun , Damman, Jeffrey , Eales, James , Gharavi, Ali , Giedraitis, Vilmantas , Heath, Andrew , Ipp, Eli , Kiryluk, Krzysztof , Kramer, Holly , Kubo, Michiaki , Larsson, Anders , Lindgren, Cecilia , Lu, Yingchang , Madden, Pamela , Montgomery, Grant , Papanicolaou, George , Raffel, Leslie , Sacco, Ralph , Sanchez, Elena , Stark, Holger , Sundstrom, Johan , Taylor, Kent , Xiang, Anny , Zivkovic, Aleksandra , Lind, Lars , Ingelsson, Erik , Martin, Nicholas , Whitfield, John , Cai, Jianwen , Laurie, Cathy , Okada, Yukinori , Matsuda, Koichi , Kooperberg, Charles , Chen, Yii-Der , Rundek, Tatjana , Rich, Stephen , Loos, Ruth , Parra, Esteban , Cruz, Miguel , Rotter, Jerome , Snieder, Harold , Tomaszewski, Maciej , Humphreys, Benjamin , Franceschini, Nora
- Date: 2019
- Type: Text , Journal article
- Relation: Nature Communications Vol. 10, no. 1 (2019), p. 1-14
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- Description: Chronic kidney disease (CKD) affects ~10% of the global population, with considerable ethnic differences in prevalence and aetiology. We assemble genome-wide association studies of estimated glomerular filtration rate (eGFR), a measure of kidney function that defines CKD, in 312,468 individuals of diverse ancestry. We identify 127 distinct association signals with homogeneous effects on eGFR across ancestries and enrichment in genomic annotations including kidney-specific histone modifications. Fine-mapping reveals 40 high-confidence variants driving eGFR associations and highlights putative causal genes with cell-type specific expression in glomerulus, and in proximal and distal nephron. Mendelian randomisation supports causal effects of eGFR on overall and cause-specific CKD, kidney stone formation, diastolic blood pressure and hypertension. These results define novel molecular mechanisms and putative causal genes for eGFR, offering insight into clinical outcomes and routes to CKD treatment development.
- Authors: Morris, Andrew , Le, Thu , Wu, Haojia , Akbarov, Artur , van der Most, Peter , Hemani, Gibran , Smith, George , Mahajan, Anubha , Gaulton, Kyle , Nadkarni, Girish , Valladares-Salgado, Adan , Wacher-Rodarte, Niels , Mychaleckyj, Josyf , Dueker, Nicole , Guo, Xiuqing , Hai, Yang , Haessler, Jeffrey , Kamatani, Yoichiro , Stilp, Adrienne , Zhu, Gu , Cook, James , Arnlov, Johan , Blanton, Susan , de Borst, Martin , Bottinger, Erwin , Buchanan, Thomas , Cechova, Sylvia , Charchar, Fadi , Chu, Pei-Lun , Damman, Jeffrey , Eales, James , Gharavi, Ali , Giedraitis, Vilmantas , Heath, Andrew , Ipp, Eli , Kiryluk, Krzysztof , Kramer, Holly , Kubo, Michiaki , Larsson, Anders , Lindgren, Cecilia , Lu, Yingchang , Madden, Pamela , Montgomery, Grant , Papanicolaou, George , Raffel, Leslie , Sacco, Ralph , Sanchez, Elena , Stark, Holger , Sundstrom, Johan , Taylor, Kent , Xiang, Anny , Zivkovic, Aleksandra , Lind, Lars , Ingelsson, Erik , Martin, Nicholas , Whitfield, John , Cai, Jianwen , Laurie, Cathy , Okada, Yukinori , Matsuda, Koichi , Kooperberg, Charles , Chen, Yii-Der , Rundek, Tatjana , Rich, Stephen , Loos, Ruth , Parra, Esteban , Cruz, Miguel , Rotter, Jerome , Snieder, Harold , Tomaszewski, Maciej , Humphreys, Benjamin , Franceschini, Nora
- Date: 2019
- Type: Text , Journal article
- Relation: Nature Communications Vol. 10, no. 1 (2019), p. 1-14
- Full Text:
- Reviewed:
- Description: Chronic kidney disease (CKD) affects ~10% of the global population, with considerable ethnic differences in prevalence and aetiology. We assemble genome-wide association studies of estimated glomerular filtration rate (eGFR), a measure of kidney function that defines CKD, in 312,468 individuals of diverse ancestry. We identify 127 distinct association signals with homogeneous effects on eGFR across ancestries and enrichment in genomic annotations including kidney-specific histone modifications. Fine-mapping reveals 40 high-confidence variants driving eGFR associations and highlights putative causal genes with cell-type specific expression in glomerulus, and in proximal and distal nephron. Mendelian randomisation supports causal effects of eGFR on overall and cause-specific CKD, kidney stone formation, diastolic blood pressure and hypertension. These results define novel molecular mechanisms and putative causal genes for eGFR, offering insight into clinical outcomes and routes to CKD treatment development.
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits
- Xu, Xiaoguang, Eales, James, Akbarov, Artur, Guo, Hui, Becker, Lorenz, Talavera, David, Ashraf, Fehzan, Nawaz, Jabran, Pramanik, Sanjeev, Bowes, John, Jiang, Xiao, Dormer, John, Denniff, Matthew, Antczak, Andrzej, Szulinska, Monika, Wise, Ingrid, Prestes, Priscilla, Glyda, Maciej, Bogdanski, Pawel, Zukowska-Szczechowska, Ewa, Berzuini, Carlo, Woolf, Adrian, Samani, Nilesh, Charchar, Fadi, Tomaszewski, Maciej
- Authors: Xu, Xiaoguang , Eales, James , Akbarov, Artur , Guo, Hui , Becker, Lorenz , Talavera, David , Ashraf, Fehzan , Nawaz, Jabran , Pramanik, Sanjeev , Bowes, John , Jiang, Xiao , Dormer, John , Denniff, Matthew , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Prestes, Priscilla , Glyda, Maciej , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Berzuini, Carlo , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2018
- Type: Text , Journal article
- Relation: Nature communications Vol. 9, no. 1 (2018), p. 1-12
- Full Text:
- Reviewed:
- Description: Genome-wide association studies (GWAS) have identified >100 loci of chronic kidney disease-defining traits (CKD-dt). Molecular mechanisms underlying these associations remain elusive. Using 280 kidney transcriptomes and 9958 gene expression profiles from 44 non-renal tissues we uncover gene expression partners (eGenes) for 88.9% of CKD-dt GWAS loci. Through epigenomic chromatin segmentation analysis and variant effect prediction we annotate functional consequences to 74% of these loci. Our colocalisation analysis and Mendelian randomisation in >130,000 subjects demonstrate causal effects of three eGenes (NAT8B, CASP9 and MUC1) on estimated glomerular filtration rate. We identify a common alternative splice variant in MUC1 (a gene responsible for rare Mendelian form of kidney disease) and observe increased renal expression of a specific MUC1 mRNA isoform as a plausible molecular mechanism of the GWAS association signal. These data highlight the variants and genes underpinning the associations uncovered in GWAS of CKD-dt.
- Authors: Xu, Xiaoguang , Eales, James , Akbarov, Artur , Guo, Hui , Becker, Lorenz , Talavera, David , Ashraf, Fehzan , Nawaz, Jabran , Pramanik, Sanjeev , Bowes, John , Jiang, Xiao , Dormer, John , Denniff, Matthew , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Prestes, Priscilla , Glyda, Maciej , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Berzuini, Carlo , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2018
- Type: Text , Journal article
- Relation: Nature communications Vol. 9, no. 1 (2018), p. 1-12
- Full Text:
- Reviewed:
- Description: Genome-wide association studies (GWAS) have identified >100 loci of chronic kidney disease-defining traits (CKD-dt). Molecular mechanisms underlying these associations remain elusive. Using 280 kidney transcriptomes and 9958 gene expression profiles from 44 non-renal tissues we uncover gene expression partners (eGenes) for 88.9% of CKD-dt GWAS loci. Through epigenomic chromatin segmentation analysis and variant effect prediction we annotate functional consequences to 74% of these loci. Our colocalisation analysis and Mendelian randomisation in >130,000 subjects demonstrate causal effects of three eGenes (NAT8B, CASP9 and MUC1) on estimated glomerular filtration rate. We identify a common alternative splice variant in MUC1 (a gene responsible for rare Mendelian form of kidney disease) and observe increased renal expression of a specific MUC1 mRNA isoform as a plausible molecular mechanism of the GWAS association signal. These data highlight the variants and genes underpinning the associations uncovered in GWAS of CKD-dt.
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