Tziastoudi Maria, Stefanidis Ioannis, Stravodimos Konstantinos, Zintzaras Elias
1 Department of Biomathematics, Faculty of Medicine, University of Thessaly, Larissa, Greece.
2 Department of Nephrology, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Genet Test Mol Biomarkers. 2019 Feb;23(2):105-117. doi: 10.1089/gtmb.2018.0209. Epub 2019 Jan 29.
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.
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.
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 ≤ 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 < 0.00042).
This meta-analysis provides evidence for linkage for nine novel cytogenetic regions that should be further investigated for genes that confer susceptibility to DN.
糖尿病肾病(DN)已成为一个严重的公共卫生问题。遗传因素参与了DN的发病机制,但其确切的遗传模式仍不清楚。全基因组连锁扫描(GWLS)产生了不确定或不一致的结果。为了检验一致性并提供更具结论性的结果,我们将基于异质性的基因组搜索荟萃分析(HEGESMA)应用于关于DN的GWLS。
我们在主要分析中合并了八项GWLS的结果,并在条件分析中合并了九项GWLS的结果,用于两种糖尿病类型以及每种糖尿病类型和亚组分析中的种族的DN分析。
考虑到扫描结果之间异质性的大小,HEGESMA确定了在多个基因组扫描的连锁统计中平均排名较高的细胞遗传学位置。主要分析:我们的荟萃分析确定了13个具有统计学意义(P≤0.05)的细胞遗传学位置(区间),其中11个在加权和非加权分析中均具有显著性,位于1号染色体长臂、3号染色体长臂、4号染色体短臂、5号染色体长臂、7号染色体长臂、15号染色体长臂、16号染色体短臂、十七号染色体长臂、19号染色体长臂和22号染色体短臂上。此外,还确定了四个新区域(5q11.2 - 5q14.3、5q23.2 - 5q34、17q24.3 - 17q25.3和22q12.3 - 22q13.3)。4号染色体短臂、5号染色体长臂、7号染色体长臂、15号染色体长臂、22号染色体短臂和22号染色体上的七个区间在两种糖尿病类型和所有亚组分析中都是共同的,此外,5q14.3 - 5q23.2在所有分析中均具有显著性。条件分析:荟萃分析确定了九个不同的细胞遗传学位置,其中7p22.3 - 7p15.3仅在2型糖尿病条件分析中具有显著性。种族亚组分析确定了11个不同的细胞遗传学位置,其中5个是新发现。然而,没有一个染色体区域达到全基因组统计学显著性(P < 0.00042)。
这项荟萃分析为九个新的细胞遗传学区域的连锁提供了证据,这些区域应进一步研究与DN易感性相关的基因。