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dc.creatorTziastoudi M., Stefanidis I., Stravodimos K., Zintzaras E.en
dc.date.accessioned2023-01-31T10:21:45Z
dc.date.available2023-01-31T10:21:45Z
dc.date.issued2019
dc.identifier10.1089/gtmb.2018.0209
dc.identifier.issn19450265
dc.identifier.urihttp://hdl.handle.net/11615/80245
dc.description.abstractAims: Diabetic nephropathy (DN) has become a serious public health problem. Genetic factors are involved in the pathogenesis of DN, but the exact mode of inheritance is still unknown. Genome-wide linkage scans (GWLS) have produced inconclusive or inconsistent results. In an effort to test consistency and provide more conclusive results, we applied a heterogeneity-based genome search meta-analysis (HEGESMA) to GWLS regarding DN. Materials and Methods: We combined results from eight GWLS in the primary analysis and nine GWLS for a conditional analysis about DN for both diabetes types, as well as in each type of diabetes and ethnicity in subgroup analyses. Results: HEGESMA identified cytogenetic locations that rank highly on average in terms of linkage statistics across multiple genome scans, taking into consideration the magnitude of heterogeneity of the results between scans. Main analyses: Our meta-analysis identified 13 cytogenetic locations (bins) with statistical significance (P rank ≤ 0.05), 11 of which were significant in both weighted and unweighted analyses located on chromosomes 1q, 3q, 4p, 5q, 7q, 15q, 16p, 17q, 19q, and 22p. In addition, four novel regions (5q11.2-5q14.3, 5q23.2-5q34, 17q24.3-17q25.3, and 22q12.3-22q13.3) were identified. Seven bins on chromosomes 4p, 5q, 7q, 15q, 22p, and 22q were common between both types of diabetes and in all subgroup analyses, in addition 5q14.3-5q23.2 was significant across all analyses. Conditional analyses: meta-analysis identified nine different cytogenetic locations, among which 7p22.3-7p15.3 was significant only in type 2 diabetes mellitus conditional analysis. Ethnicity subgroup analyses identified 11 different cytogenetic locations, 5 out of which are novel findings. However, none of the chromosomal regions reached genome-wide statistical significance (P rank < 0.00042). Discussion: This meta-analysis provides evidence for linkage for nine novel cytogenetic regions that should be further investigated for genes that confer susceptibility to DN. © 2019, Mary Ann Liebert, Inc.en
dc.language.isoenen
dc.sourceGenetic Testing and Molecular Biomarkersen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061272487&doi=10.1089%2fgtmb.2018.0209&partnerID=40&md5=b7db8d9ae27456e88da4e724e14da4da
dc.subjectArticleen
dc.subjectchromosomeen
dc.subjectchromosome 15qen
dc.subjectchromosome 16pen
dc.subjectchromosome 17qen
dc.subjectchromosome 19qen
dc.subjectchromosome 1qen
dc.subjectchromosome 22pen
dc.subjectchromosome 3qen
dc.subjectchromosome 4pen
dc.subjectchromosome 5qen
dc.subjectchromosome 7qen
dc.subjectchromosome analysisen
dc.subjectcytogeneticsen
dc.subjectdiabetic nephropathyen
dc.subjectethnicityen
dc.subjectgene identificationen
dc.subjectgenetic heterogeneityen
dc.subjectgenetic linkageen
dc.subjectgenomeen
dc.subjectgenome-wide association studyen
dc.subjectheredityen
dc.subjecthumanen
dc.subjectinformation retrievalen
dc.subjectinheritanceen
dc.subjectmeta analysisen
dc.subjectmeta analysis (topic)en
dc.subjectnon insulin dependent diabetes mellitusen
dc.subjectpathogenesisen
dc.subjectpublic health problemen
dc.subjectstatistical significanceen
dc.subjectchromosomal mappingen
dc.subjectdiabetic nephropathyen
dc.subjectgenetic databaseen
dc.subjectgenetic linkageen
dc.subjectgenetic predispositionen
dc.subjectgeneticsen
dc.subjectgenome-wide association studyen
dc.subjecthuman genomeen
dc.subjectpathophysiologyen
dc.subjectproceduresen
dc.subjectChromosome Mappingen
dc.subjectChromosomesen
dc.subjectDatabases, Geneticen
dc.subjectDiabetes Mellitus, Type 2en
dc.subjectDiabetic Nephropathiesen
dc.subjectGenetic Linkageen
dc.subjectGenetic Predisposition to Diseaseen
dc.subjectGenome, Humanen
dc.subjectGenome-Wide Association Studyen
dc.subjectHumansen
dc.subjectMary Ann Liebert Inc.en
dc.titleIdentification of Chromosomal Regions Linked to Diabetic Nephropathy: A Meta-Analysis of Genome-Wide Linkage Scansen
dc.typejournalArticleen


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