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Identification of Chromosomal Regions Linked to Diabetic Nephropathy: A Meta-Analysis of Genome-Wide Linkage Scans

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Συγγραφέας
Tziastoudi M., Stefanidis I., Stravodimos K., Zintzaras E.
Ημερομηνία
2019
Γλώσσα
en
DOI
10.1089/gtmb.2018.0209
Λέξη-κλειδί
Article
chromosome
chromosome 15q
chromosome 16p
chromosome 17q
chromosome 19q
chromosome 1q
chromosome 22p
chromosome 3q
chromosome 4p
chromosome 5q
chromosome 7q
chromosome analysis
cytogenetics
diabetic nephropathy
ethnicity
gene identification
genetic heterogeneity
genetic linkage
genome
genome-wide association study
heredity
human
information retrieval
inheritance
meta analysis
meta analysis (topic)
non insulin dependent diabetes mellitus
pathogenesis
public health problem
statistical significance
chromosomal mapping
diabetic nephropathy
genetic database
genetic linkage
genetic predisposition
genetics
genome-wide association study
human genome
pathophysiology
procedures
Chromosome Mapping
Chromosomes
Databases, Genetic
Diabetes Mellitus, Type 2
Diabetic Nephropathies
Genetic Linkage
Genetic Predisposition to Disease
Genome, Human
Genome-Wide Association Study
Humans
Mary Ann Liebert Inc.
Εμφάνιση Μεταδεδομένων
Επιτομή
Aims: 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.
URI
http://hdl.handle.net/11615/80245
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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