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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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.
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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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