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
- 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.
- 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.
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
- Pattaro, C, Teumer, A, Gorski, M, Chu, A.Y., Li, M, Mijatovic, V, Garnaas, M, Tin, A, Charchar, Fadi
- Authors: Pattaro, C , Teumer, A , Gorski, M , Chu, A.Y. , Li, M , Mijatovic, V , Garnaas, M , Tin, A , Charchar, Fadi
- Date: 2016
- Type: Text , Journal article
- Relation: Nature Communications Vol. 7, no. (2016), p. 1-19
- Full Text:
- Reviewed:
- Description: Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways. © 2016, Nature Publishing Group. All rights reserved. Please note that there are two hundred and six authors for this article and we have included only the Federation University Australia affiliate.
- Authors: Pattaro, C , Teumer, A , Gorski, M , Chu, A.Y. , Li, M , Mijatovic, V , Garnaas, M , Tin, A , Charchar, Fadi
- Date: 2016
- Type: Text , Journal article
- Relation: Nature Communications Vol. 7, no. (2016), p. 1-19
- Full Text:
- Reviewed:
- Description: Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways. © 2016, Nature Publishing Group. All rights reserved. Please note that there are two hundred and six authors for this article and we have included only the Federation University Australia affiliate.
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