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Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND)
Diabetic kidney disease (DKD) is the most common etiology of chronic kidney disease (CKD) in the industrialized world and accounts for much of the excess mortality in patients with diabetes mellitus. Approximately 45% of U.S. patients with incident end-stage kidney disease (ESKD) have DKD. Independe...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549309/ https://www.ncbi.nlm.nih.gov/pubmed/26305897 http://dx.doi.org/10.1371/journal.pgen.1005352 |
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author | Iyengar, Sudha K. Sedor, John R. Freedman, Barry I. Kao, W. H. Linda Kretzler, Matthias Keller, Benjamin J. Abboud, Hanna E. Adler, Sharon G. Best, Lyle G. Bowden, Donald W. Burlock, Allison Chen, Yii-Der Ida Cole, Shelley A. Comeau, Mary E. Curtis, Jeffrey M. Divers, Jasmin Drechsler, Christiane Duggirala, Ravi Elston, Robert C. Guo, Xiuqing Huang, Huateng Hoffmann, Michael Marcus Howard, Barbara V. Ipp, Eli Kimmel, Paul L. Klag, Michael J. Knowler, William C. Kohn, Orly F. Leak, Tennille S. Leehey, David J. Li, Man Malhotra, Alka März, Winfried Nair, Viji Nelson, Robert G. Nicholas, Susanne B. O’Brien, Stephen J. Pahl, Madeleine V. Parekh, Rulan S. Pezzolesi, Marcus G. Rasooly, Rebekah S. Rotimi, Charles N. Rotter, Jerome I. Schelling, Jeffrey R. Seldin, Michael F. Shah, Vallabh O. Smiles, Adam M. Smith, Michael W. Taylor, Kent D. Thameem, Farook Thornley-Brown, Denyse P. Truitt, Barbara J. Wanner, Christoph Weil, E. Jennifer Winkler, Cheryl A. Zager, Philip G. Igo, Robert P. Hanson, Robert L. Langefeld, Carl D. |
author_facet | Iyengar, Sudha K. Sedor, John R. Freedman, Barry I. Kao, W. H. Linda Kretzler, Matthias Keller, Benjamin J. Abboud, Hanna E. Adler, Sharon G. Best, Lyle G. Bowden, Donald W. Burlock, Allison Chen, Yii-Der Ida Cole, Shelley A. Comeau, Mary E. Curtis, Jeffrey M. Divers, Jasmin Drechsler, Christiane Duggirala, Ravi Elston, Robert C. Guo, Xiuqing Huang, Huateng Hoffmann, Michael Marcus Howard, Barbara V. Ipp, Eli Kimmel, Paul L. Klag, Michael J. Knowler, William C. Kohn, Orly F. Leak, Tennille S. Leehey, David J. Li, Man Malhotra, Alka März, Winfried Nair, Viji Nelson, Robert G. Nicholas, Susanne B. O’Brien, Stephen J. Pahl, Madeleine V. Parekh, Rulan S. Pezzolesi, Marcus G. Rasooly, Rebekah S. Rotimi, Charles N. Rotter, Jerome I. Schelling, Jeffrey R. Seldin, Michael F. Shah, Vallabh O. Smiles, Adam M. Smith, Michael W. Taylor, Kent D. Thameem, Farook Thornley-Brown, Denyse P. Truitt, Barbara J. Wanner, Christoph Weil, E. Jennifer Winkler, Cheryl A. Zager, Philip G. Igo, Robert P. Hanson, Robert L. Langefeld, Carl D. |
author_sort | Iyengar, Sudha K. |
collection | PubMed |
description | Diabetic kidney disease (DKD) is the most common etiology of chronic kidney disease (CKD) in the industrialized world and accounts for much of the excess mortality in patients with diabetes mellitus. Approximately 45% of U.S. patients with incident end-stage kidney disease (ESKD) have DKD. Independent of glycemic control, DKD aggregates in families and has higher incidence rates in African, Mexican, and American Indian ancestral groups relative to European populations. The Family Investigation of Nephropathy and Diabetes (FIND) performed a genome-wide association study (GWAS) contrasting 6,197 unrelated individuals with advanced DKD with healthy and diabetic individuals lacking nephropathy of European American, African American, Mexican American, or American Indian ancestry. A large-scale replication and trans-ethnic meta-analysis included 7,539 additional European American, African American and American Indian DKD cases and non-nephropathy controls. Within ethnic group meta-analysis of discovery GWAS and replication set results identified genome-wide significant evidence for association between DKD and rs12523822 on chromosome 6q25.2 in American Indians (P = 5.74x10(-9)). The strongest signal of association in the trans-ethnic meta-analysis was with a SNP in strong linkage disequilibrium with rs12523822 (rs955333; P = 1.31x10(-8)), with directionally consistent results across ethnic groups. These 6q25.2 SNPs are located between the SCAF8 and CNKSR3 genes, a region with DKD relevant changes in gene expression and an eQTL with IPCEF1, a gene co-translated with CNKSR3. Several other SNPs demonstrated suggestive evidence of association with DKD, within and across populations. These data identify a novel DKD susceptibility locus with consistent directions of effect across diverse ancestral groups and provide insight into the genetic architecture of DKD. |
format | Online Article Text |
id | pubmed-4549309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45493092015-09-01 Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND) Iyengar, Sudha K. Sedor, John R. Freedman, Barry I. Kao, W. H. Linda Kretzler, Matthias Keller, Benjamin J. Abboud, Hanna E. Adler, Sharon G. Best, Lyle G. Bowden, Donald W. Burlock, Allison Chen, Yii-Der Ida Cole, Shelley A. Comeau, Mary E. Curtis, Jeffrey M. Divers, Jasmin Drechsler, Christiane Duggirala, Ravi Elston, Robert C. Guo, Xiuqing Huang, Huateng Hoffmann, Michael Marcus Howard, Barbara V. Ipp, Eli Kimmel, Paul L. Klag, Michael J. Knowler, William C. Kohn, Orly F. Leak, Tennille S. Leehey, David J. Li, Man Malhotra, Alka März, Winfried Nair, Viji Nelson, Robert G. Nicholas, Susanne B. O’Brien, Stephen J. Pahl, Madeleine V. Parekh, Rulan S. Pezzolesi, Marcus G. Rasooly, Rebekah S. Rotimi, Charles N. Rotter, Jerome I. Schelling, Jeffrey R. Seldin, Michael F. Shah, Vallabh O. Smiles, Adam M. Smith, Michael W. Taylor, Kent D. Thameem, Farook Thornley-Brown, Denyse P. Truitt, Barbara J. Wanner, Christoph Weil, E. Jennifer Winkler, Cheryl A. Zager, Philip G. Igo, Robert P. Hanson, Robert L. Langefeld, Carl D. PLoS Genet Research Article Diabetic kidney disease (DKD) is the most common etiology of chronic kidney disease (CKD) in the industrialized world and accounts for much of the excess mortality in patients with diabetes mellitus. Approximately 45% of U.S. patients with incident end-stage kidney disease (ESKD) have DKD. Independent of glycemic control, DKD aggregates in families and has higher incidence rates in African, Mexican, and American Indian ancestral groups relative to European populations. The Family Investigation of Nephropathy and Diabetes (FIND) performed a genome-wide association study (GWAS) contrasting 6,197 unrelated individuals with advanced DKD with healthy and diabetic individuals lacking nephropathy of European American, African American, Mexican American, or American Indian ancestry. A large-scale replication and trans-ethnic meta-analysis included 7,539 additional European American, African American and American Indian DKD cases and non-nephropathy controls. Within ethnic group meta-analysis of discovery GWAS and replication set results identified genome-wide significant evidence for association between DKD and rs12523822 on chromosome 6q25.2 in American Indians (P = 5.74x10(-9)). The strongest signal of association in the trans-ethnic meta-analysis was with a SNP in strong linkage disequilibrium with rs12523822 (rs955333; P = 1.31x10(-8)), with directionally consistent results across ethnic groups. These 6q25.2 SNPs are located between the SCAF8 and CNKSR3 genes, a region with DKD relevant changes in gene expression and an eQTL with IPCEF1, a gene co-translated with CNKSR3. Several other SNPs demonstrated suggestive evidence of association with DKD, within and across populations. These data identify a novel DKD susceptibility locus with consistent directions of effect across diverse ancestral groups and provide insight into the genetic architecture of DKD. Public Library of Science 2015-08-25 /pmc/articles/PMC4549309/ /pubmed/26305897 http://dx.doi.org/10.1371/journal.pgen.1005352 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Iyengar, Sudha K. Sedor, John R. Freedman, Barry I. Kao, W. H. Linda Kretzler, Matthias Keller, Benjamin J. Abboud, Hanna E. Adler, Sharon G. Best, Lyle G. Bowden, Donald W. Burlock, Allison Chen, Yii-Der Ida Cole, Shelley A. Comeau, Mary E. Curtis, Jeffrey M. Divers, Jasmin Drechsler, Christiane Duggirala, Ravi Elston, Robert C. Guo, Xiuqing Huang, Huateng Hoffmann, Michael Marcus Howard, Barbara V. Ipp, Eli Kimmel, Paul L. Klag, Michael J. Knowler, William C. Kohn, Orly F. Leak, Tennille S. Leehey, David J. Li, Man Malhotra, Alka März, Winfried Nair, Viji Nelson, Robert G. Nicholas, Susanne B. O’Brien, Stephen J. Pahl, Madeleine V. Parekh, Rulan S. Pezzolesi, Marcus G. Rasooly, Rebekah S. Rotimi, Charles N. Rotter, Jerome I. Schelling, Jeffrey R. Seldin, Michael F. Shah, Vallabh O. Smiles, Adam M. Smith, Michael W. Taylor, Kent D. Thameem, Farook Thornley-Brown, Denyse P. Truitt, Barbara J. Wanner, Christoph Weil, E. Jennifer Winkler, Cheryl A. Zager, Philip G. Igo, Robert P. Hanson, Robert L. Langefeld, Carl D. Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND) |
title | Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND) |
title_full | Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND) |
title_fullStr | Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND) |
title_full_unstemmed | Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND) |
title_short | Genome-Wide Association and Trans-ethnic Meta-Analysis for Advanced Diabetic Kidney Disease: Family Investigation of Nephropathy and Diabetes (FIND) |
title_sort | genome-wide association and trans-ethnic meta-analysis for advanced diabetic kidney disease: family investigation of nephropathy and diabetes (find) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549309/ https://www.ncbi.nlm.nih.gov/pubmed/26305897 http://dx.doi.org/10.1371/journal.pgen.1005352 |
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