Clinical and genetic associations of renal function and diabetic kidney disease in the United Arab Emirates: a cross-sectional study

ObjectivesWithin the Emirati population, risk factors and genetic predisposition to diabetic kidney disease (DKD) have not yet been investigated. The aim of this research was to determine potential clinical, laboratory and reported genetic loci as risk factors for DKD.Research design and methodsFour...

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Veröffentlicht in:BMJ open 2018-12, Vol.8 (12), p.e020759-e020759
Hauptverfasser: Osman, Wael M, Jelinek, Herbert F, Tay, Guan K, Khandoker, Ahsan H, Khalaf, Kinda, Almahmeed, Wael, Hassan, Mohamed H, Alsafar, Habiba S
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container_end_page e020759
container_issue 12
container_start_page e020759
container_title BMJ open
container_volume 8
creator Osman, Wael M
Jelinek, Herbert F
Tay, Guan K
Khandoker, Ahsan H
Khalaf, Kinda
Almahmeed, Wael
Hassan, Mohamed H
Alsafar, Habiba S
description ObjectivesWithin the Emirati population, risk factors and genetic predisposition to diabetic kidney disease (DKD) have not yet been investigated. The aim of this research was to determine potential clinical, laboratory and reported genetic loci as risk factors for DKD.Research design and methodsFour hundred and ninety unrelated Emirati nationals with type 2 diabetes mellitus (T2DM) were recruited with and without DKD, and clinical and laboratory data were obtained. Following adjustments for possible confounders, a logistic regression model was developed to test the associations of 63 single nucleotide polymorphisms (SNPs) in 43 genetic loci with DKD (145 patients with DKD and 265 without DKD). Linear regression models, adjusted for age and gender, were then used to study the genetic associations of five renal function traits, including 83 SNPs with albumin-to-creatinine ratio, 92 SNPs with vitamin D (25-OH cholecalciferol), 288 SNPs with estimated glomerular filtration rate (eGFR), 363 SNPs with serum creatinine and 73 SNPs with blood urea.ResultsPatients with DKD, as compared with those without the disease, were mostly men (52%vs38% for controls), older (67vs59 years) and had significant rates of hypertension and dyslipidaemia. Furthermore, patients with DKD had T2DM for a longer duration of time (16vs10 years), which in an additive manner was the single factor that significantly contributed to the development of DKD (p=0.02, OR=3.12, 95% CI 1.21 to 8.02). Among the replicated associations of the genetic loci with different renal function traits, the most notable included SHROOM3 with levels of serum creatinine, eGFR and DKD (Padjusted=0.04, OR=1.46); CASR, GC and CYP2R1 with vitamin D levels; as well as WDR72 with serum creatinine and eGFR levels.ConclusionsAssociations were found between several genetic loci and risk markers for DKD, which may influence kidney function traits and DKD in a population of Arab ancestry.
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The aim of this research was to determine potential clinical, laboratory and reported genetic loci as risk factors for DKD.Research design and methodsFour hundred and ninety unrelated Emirati nationals with type 2 diabetes mellitus (T2DM) were recruited with and without DKD, and clinical and laboratory data were obtained. Following adjustments for possible confounders, a logistic regression model was developed to test the associations of 63 single nucleotide polymorphisms (SNPs) in 43 genetic loci with DKD (145 patients with DKD and 265 without DKD). Linear regression models, adjusted for age and gender, were then used to study the genetic associations of five renal function traits, including 83 SNPs with albumin-to-creatinine ratio, 92 SNPs with vitamin D (25-OH cholecalciferol), 288 SNPs with estimated glomerular filtration rate (eGFR), 363 SNPs with serum creatinine and 73 SNPs with blood urea.ResultsPatients with DKD, as compared with those without the disease, were mostly men (52%vs38% for controls), older (67vs59 years) and had significant rates of hypertension and dyslipidaemia. Furthermore, patients with DKD had T2DM for a longer duration of time (16vs10 years), which in an additive manner was the single factor that significantly contributed to the development of DKD (p=0.02, OR=3.12, 95% CI 1.21 to 8.02). Among the replicated associations of the genetic loci with different renal function traits, the most notable included SHROOM3 with levels of serum creatinine, eGFR and DKD (Padjusted=0.04, OR=1.46); CASR, GC and CYP2R1 with vitamin D levels; as well as WDR72 with serum creatinine and eGFR levels.ConclusionsAssociations were found between several genetic loci and risk markers for DKD, which may influence kidney function traits and DKD in a population of Arab ancestry.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2017-020759</identifier><identifier>PMID: 30552240</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adult ; Age ; Aged ; Biomarkers ; Cluster Analysis ; Cross-Sectional Studies ; Diabetes ; Diabetes and Endocrinology ; Diabetic Nephropathies - diagnosis ; Diabetic Nephropathies - genetics ; Diabetic nephropathy ; Female ; Gender ; Gene loci ; Genetic Association Studies ; Genetic Loci ; Genetic Markers - genetics ; Genetic Predisposition to Disease - genetics ; Genomes ; Humans ; Kidney diseases ; Kidney Function Tests ; Laboratories ; Male ; Middle Aged ; Mortality ; Population ; Risk Factors ; United Arab Emirates ; Vitamin D</subject><ispartof>BMJ open, 2018-12, Vol.8 (12), p.e020759-e020759</ispartof><rights>Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2018 Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b472t-f49b6aab6d9366a44433f7d4236b1d55831bd5bc3102dbdc3d7d3493e93a0b8b3</citedby><cites>FETCH-LOGICAL-b472t-f49b6aab6d9366a44433f7d4236b1d55831bd5bc3102dbdc3d7d3493e93a0b8b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/8/12/e020759.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/8/12/e020759.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27549,27550,27924,27925,53791,53793,77601,77632</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30552240$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Osman, Wael M</creatorcontrib><creatorcontrib>Jelinek, Herbert F</creatorcontrib><creatorcontrib>Tay, Guan K</creatorcontrib><creatorcontrib>Khandoker, Ahsan H</creatorcontrib><creatorcontrib>Khalaf, Kinda</creatorcontrib><creatorcontrib>Almahmeed, Wael</creatorcontrib><creatorcontrib>Hassan, Mohamed H</creatorcontrib><creatorcontrib>Alsafar, Habiba S</creatorcontrib><title>Clinical and genetic associations of renal function and diabetic kidney disease in the United Arab Emirates: a cross-sectional study</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>ObjectivesWithin the Emirati population, risk factors and genetic predisposition to diabetic kidney disease (DKD) have not yet been investigated. The aim of this research was to determine potential clinical, laboratory and reported genetic loci as risk factors for DKD.Research design and methodsFour hundred and ninety unrelated Emirati nationals with type 2 diabetes mellitus (T2DM) were recruited with and without DKD, and clinical and laboratory data were obtained. Following adjustments for possible confounders, a logistic regression model was developed to test the associations of 63 single nucleotide polymorphisms (SNPs) in 43 genetic loci with DKD (145 patients with DKD and 265 without DKD). Linear regression models, adjusted for age and gender, were then used to study the genetic associations of five renal function traits, including 83 SNPs with albumin-to-creatinine ratio, 92 SNPs with vitamin D (25-OH cholecalciferol), 288 SNPs with estimated glomerular filtration rate (eGFR), 363 SNPs with serum creatinine and 73 SNPs with blood urea.ResultsPatients with DKD, as compared with those without the disease, were mostly men (52%vs38% for controls), older (67vs59 years) and had significant rates of hypertension and dyslipidaemia. Furthermore, patients with DKD had T2DM for a longer duration of time (16vs10 years), which in an additive manner was the single factor that significantly contributed to the development of DKD (p=0.02, OR=3.12, 95% CI 1.21 to 8.02). Among the replicated associations of the genetic loci with different renal function traits, the most notable included SHROOM3 with levels of serum creatinine, eGFR and DKD (Padjusted=0.04, OR=1.46); CASR, GC and CYP2R1 with vitamin D levels; as well as WDR72 with serum creatinine and eGFR levels.ConclusionsAssociations were found between several genetic loci and risk markers for DKD, which may influence kidney function traits and DKD in a population of Arab ancestry.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Biomarkers</subject><subject>Cluster Analysis</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes and Endocrinology</subject><subject>Diabetic Nephropathies - diagnosis</subject><subject>Diabetic Nephropathies - genetics</subject><subject>Diabetic nephropathy</subject><subject>Female</subject><subject>Gender</subject><subject>Gene loci</subject><subject>Genetic Association Studies</subject><subject>Genetic Loci</subject><subject>Genetic Markers - genetics</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Genomes</subject><subject>Humans</subject><subject>Kidney diseases</subject><subject>Kidney Function Tests</subject><subject>Laboratories</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Population</subject><subject>Risk Factors</subject><subject>United Arab Emirates</subject><subject>Vitamin D</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkU9rFDEYxoMottR-AkECXrxMzf_Z8SCUpdpCwYs9h2TyTpt1JlmTTGHvfnCzs2upnswled_8noe8eRB6S8kFpVx9tNMmbiE0jNC2IYy0snuBThkRolFEypfPzifoPOcNqUvITkr2Gp3w2mZMkFP0az364HszYhMcvocAxffY5Bx7b4qPIeM44AShEsMc-n1rQZ03dmF_eBdgV-sMJgP2AZcHwHfBF3D4MhmLryafTIH8CRvcp5hzk2Exqp65zG73Br0azJjh_LifobsvV9_X183tt68368vbxoqWlWYQnVXGWOU6rpQRQnA-tE4wrix1Uq44tU7anlPCnHU9d63jouPQcUPsyvIz9Pngu53tBK6HUJIZ9Tb5yaSdjsbrv2-Cf9D38VErTriishp8OBqk-HOGXPTkcw_jaALEOWtGZauUXLVdRd__g27inOrIC6XaThHSVoofqOVfEgxPj6FE74PWx6D1Pmh9CLqq3j2f40nzJ9YKXByAqv4vx99pt7aQ</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Osman, Wael M</creator><creator>Jelinek, Herbert F</creator><creator>Tay, Guan K</creator><creator>Khandoker, Ahsan H</creator><creator>Khalaf, Kinda</creator><creator>Almahmeed, Wael</creator><creator>Hassan, Mohamed H</creator><creator>Alsafar, Habiba S</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20181201</creationdate><title>Clinical and genetic associations of renal function and diabetic kidney disease in the United Arab Emirates: a cross-sectional study</title><author>Osman, Wael M ; Jelinek, Herbert F ; Tay, Guan K ; Khandoker, Ahsan H ; Khalaf, Kinda ; Almahmeed, Wael ; Hassan, Mohamed H ; Alsafar, Habiba S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b472t-f49b6aab6d9366a44433f7d4236b1d55831bd5bc3102dbdc3d7d3493e93a0b8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Biomarkers</topic><topic>Cluster Analysis</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes and Endocrinology</topic><topic>Diabetic Nephropathies - diagnosis</topic><topic>Diabetic Nephropathies - genetics</topic><topic>Diabetic nephropathy</topic><topic>Female</topic><topic>Gender</topic><topic>Gene loci</topic><topic>Genetic Association Studies</topic><topic>Genetic Loci</topic><topic>Genetic Markers - genetics</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>Genomes</topic><topic>Humans</topic><topic>Kidney diseases</topic><topic>Kidney Function Tests</topic><topic>Laboratories</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Population</topic><topic>Risk Factors</topic><topic>United Arab Emirates</topic><topic>Vitamin D</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Osman, Wael M</creatorcontrib><creatorcontrib>Jelinek, Herbert F</creatorcontrib><creatorcontrib>Tay, Guan K</creatorcontrib><creatorcontrib>Khandoker, Ahsan H</creatorcontrib><creatorcontrib>Khalaf, Kinda</creatorcontrib><creatorcontrib>Almahmeed, Wael</creatorcontrib><creatorcontrib>Hassan, Mohamed H</creatorcontrib><creatorcontrib>Alsafar, Habiba S</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Osman, Wael M</au><au>Jelinek, Herbert F</au><au>Tay, Guan K</au><au>Khandoker, Ahsan H</au><au>Khalaf, Kinda</au><au>Almahmeed, Wael</au><au>Hassan, Mohamed H</au><au>Alsafar, Habiba S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical and genetic associations of renal function and diabetic kidney disease in the United Arab Emirates: a cross-sectional study</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2018-12-01</date><risdate>2018</risdate><volume>8</volume><issue>12</issue><spage>e020759</spage><epage>e020759</epage><pages>e020759-e020759</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectivesWithin the Emirati population, risk factors and genetic predisposition to diabetic kidney disease (DKD) have not yet been investigated. The aim of this research was to determine potential clinical, laboratory and reported genetic loci as risk factors for DKD.Research design and methodsFour hundred and ninety unrelated Emirati nationals with type 2 diabetes mellitus (T2DM) were recruited with and without DKD, and clinical and laboratory data were obtained. Following adjustments for possible confounders, a logistic regression model was developed to test the associations of 63 single nucleotide polymorphisms (SNPs) in 43 genetic loci with DKD (145 patients with DKD and 265 without DKD). Linear regression models, adjusted for age and gender, were then used to study the genetic associations of five renal function traits, including 83 SNPs with albumin-to-creatinine ratio, 92 SNPs with vitamin D (25-OH cholecalciferol), 288 SNPs with estimated glomerular filtration rate (eGFR), 363 SNPs with serum creatinine and 73 SNPs with blood urea.ResultsPatients with DKD, as compared with those without the disease, were mostly men (52%vs38% for controls), older (67vs59 years) and had significant rates of hypertension and dyslipidaemia. Furthermore, patients with DKD had T2DM for a longer duration of time (16vs10 years), which in an additive manner was the single factor that significantly contributed to the development of DKD (p=0.02, OR=3.12, 95% CI 1.21 to 8.02). Among the replicated associations of the genetic loci with different renal function traits, the most notable included SHROOM3 with levels of serum creatinine, eGFR and DKD (Padjusted=0.04, OR=1.46); CASR, GC and CYP2R1 with vitamin D levels; as well as WDR72 with serum creatinine and eGFR levels.ConclusionsAssociations were found between several genetic loci and risk markers for DKD, which may influence kidney function traits and DKD in a population of Arab ancestry.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>30552240</pmid><doi>10.1136/bmjopen-2017-020759</doi><oa>free_for_read</oa></addata></record>
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source BMJ Open Access Journals; MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Adult
Age
Aged
Biomarkers
Cluster Analysis
Cross-Sectional Studies
Diabetes
Diabetes and Endocrinology
Diabetic Nephropathies - diagnosis
Diabetic Nephropathies - genetics
Diabetic nephropathy
Female
Gender
Gene loci
Genetic Association Studies
Genetic Loci
Genetic Markers - genetics
Genetic Predisposition to Disease - genetics
Genomes
Humans
Kidney diseases
Kidney Function Tests
Laboratories
Male
Middle Aged
Mortality
Population
Risk Factors
United Arab Emirates
Vitamin D
title Clinical and genetic associations of renal function and diabetic kidney disease in the United Arab Emirates: a cross-sectional study
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