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      Meta-analyses of 4 CFTR variants associated with the risk of the congenital bilateral absence of the vas deferens

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          Abstract

          Aims

          The aim of our study was to evaluate the relationship between four CFTR variations and the congenital bilateral absence of the vas deferens (CBAVD).

          Methods

          A systematic search was performed in the literature databases for the case–control studies of CFTR variations with the risk of CBAVD. A total of 29 studies among 1139 controls and 1562 CBAVD patients were gathered for the meta-analyses of three commonly tecsted variations (5T, ΔF508 and M470V) with CBAVD.

          Results

          Our meta-analyses observed significant associations between CBAVD and all the three variations, including 5T (P < 0.001, OR = 8.35, 95% CI = 6.68-10.43), M470V (P = 0.027, OR = 0.74, 95% CI = 0.60-0.91) and ΔF508 (P < 0.001, OR = 22.20, 95% CI = 7.49-65.79).

          Conclusion

          In the current study, we demonstrated a significant association between CFTR variations and CBAVD. Our results showed that the 5T variation was a risk factor of CBAVD in French, Spanish, Japanese, Chinese, Iranian, Indian, Mexican and Egyptian populations. CFTR ΔF508 was another important risk factor in Caucasians, including Slovenians, Canadians, Iranians, and Egyptians. In addition, M470V was a protective factor among French, Chinese, Italian and Iranian populations.

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          Most cited references 30

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          Measuring inconsistency in meta-analyses.

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            Meta-analysis in clinical trials.

            This paper examines eight published reviews each reporting results from several related trials. Each review pools the results from the relevant trials in order to evaluate the efficacy of a certain treatment for a specified medical condition. These reviews lack consistent assessment of homogeneity of treatment effect before pooling. We discuss a random effects approach to combining evidence from a series of experiments comparing two treatments. This approach incorporates the heterogeneity of effects in the analysis of the overall treatment efficacy. The model can be extended to include relevant covariates which would reduce the heterogeneity and allow for more specific therapeutic recommendations. We suggest a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
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              Identification of the cystic fibrosis gene: cloning and characterization of complementary DNA.

              Overlapping complementary DNA clones were isolated from epithelial cell libraries with a genomic DNA segment containing a portion of the putative cystic fibrosis (CF) locus, which is on chromosome 7. Transcripts, approximately 6500 nucleotides in size, were detectable in the tissues affected in patients with CF. The predicted protein consists of two similar motifs, each with (i) a domain having properties consistent with membrane association and (ii) a domain believed to be involved in ATP (adenosine triphosphate) binding. A deletion of three base pairs that results in the omission of a phenylalanine residue at the center of the first predicted nucleotide-binding domain was detected in CF patients.
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                Author and article information

                Contributors
                Journal
                J Clin Bioinforma
                J Clin Bioinforma
                Journal of Clinical Bioinformatics
                BioMed Central
                2043-9113
                2014
                21 August 2014
                : 4
                : 11
                Affiliations
                [1 ]Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
                [2 ]China National Population and Family Planning Key Laboratory of Contraceptive Drugs and Devices, Shanghai Institute of Planned Parenthood Research (SIPPR), Shanghai 200032, China
                [3 ]China National Population and Family Planning Key Laboratory of Contraceptive Drugs and Devices, SIPPR, Fudan University, Shanghai 200032, China
                Article
                2043-9113-4-11
                10.1186/2043-9113-4-11
                4147875
                Copyright © 2014 Xu et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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