2013
DOI: 10.3109/0886022x.2013.868319
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Adiponectin gene polymorphisms and susceptibility to diabetic nephropathy: a meta-analysis

Abstract: Adiponectin (ADIPOQ) plays an important role in the pathogenesis of diabetic nephropathy (DN) and previous studies regarding the association between ADIPOQ polymorphisms and DN risk reported conflicting results. To derive a more precise estimation of this association, we performed a meta-analysis to assess the association between four ADIPOQ polymorphisms [-11391G > A (rs17300539), -11377C > G (rs266729), +45T > G (rs2241766), and +276G > T (rs1501299)] and risk for DN. Odds ratios (ORs) with corresponding 95%… Show more

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Cited by 9 publications
(6 citation statements)
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“…Thirdly, the limited number of study participants might reduce authoritativeness of some study results. Of course, some meta-analyses related to our studied topic have already been performed, such as the one by Lin et al [41] and one by Cai et al [42]. However, the meta-analysis by Lin and colleagues only enrolled 7 articles with 9 independent studies on our studied polymorphism while we selected 14 eligible studies from 11 papers.…”
Section: Discussionmentioning
confidence: 99%
“…Thirdly, the limited number of study participants might reduce authoritativeness of some study results. Of course, some meta-analyses related to our studied topic have already been performed, such as the one by Lin et al [41] and one by Cai et al [42]. However, the meta-analysis by Lin and colleagues only enrolled 7 articles with 9 independent studies on our studied polymorphism while we selected 14 eligible studies from 11 papers.…”
Section: Discussionmentioning
confidence: 99%
“…An early family-based genome-wide linkage analysis from the Family Investigation of Nephropathy and Diabetes (FIND) research group identified chromosomal loci for susceptibility genes, including 1q, 7q, and 18q linked to estimated glomerular filtration rate (GFR), in a multiethnic collection of families ascertained by a proband with type 2 diabetes and DN [7] . Using linkage analysis and the identification of positional candidate genes under the linkage peaks, others identified polymorphisms in the carnosinase 1 gene on chromosome 18q [8] , the adiponectin gene on 3q [9] , and the engulfment and cell motility ( ELMO1 ) gene on 7p [10] as DN risk genes. GWAS have greater power than linkage analysis to identify polymorphisms when the gene effect size is low, but the frequency of the polymorphism in the population is high.…”
Section: Risk Factorsmentioning
confidence: 99%
“…Third, the limited number of study participants might reduce the authoritativeness of some study results. Of course, some meta-analyses related to our studied topic have already been performed, such as the one by Lin et al [33] and one by Cai et al [34]. However, the meta-analysis by Lin and colleagues only included 7 articles describing 9 independent studies on our studied polymorphism, while we included 14 eligible studies from 11 papers.…”
Section: Discussionmentioning
confidence: 99%