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      Association of NOS3 tag polymorphisms with hypoxic-ischemic encephalopathy

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          Abstract

          Aim

          To test the association of NOS3 gene with hypoxic-ischemic encephalopathy (HIE).

          Methods

          The study included 110 unrelated term or preterm born children (69 boys and 41 girls) with HIE and 128 term and preterm born children (60 boys and 68 girls) without any neurological problems after the second year of life. Children with perinatal HIE fulfilled the diagnostic criteria for perinatal asphyxia. All children were admitted to the Clinical Hospital Split between 1992 and 2008. We analyzed 6 tagging single nucleotide polymorphisms (SNP) within NOS3 gene (rs3918186, rs3918188, rs1800783, rs1808593, rs3918227, rs1799983), in addition to previously confirmed NOS3-associated SNP rs1800779. Genotyping was conducted using real-time polymerase chain reaction (PCR). Association analyses were performed according to allelic and genotypic distribution.

          Results

          Allelic test did not show any SNP association with HIE. SNP rs1808593 showed genotype association ( P = 0.008) and rs1800783-rs1800779 TG haplotype showed an association with HIE ( P < 0.001). The study had 80% statistical power to detect (α = 0.05) an effect with odds ratio (OR) = 2.07 for rs3918186, OR = 1.69 for rs3918188, OR = 1.70 for rs1800783, OR = 1.80 for rs1808593, OR = 2.10 for rs3918227, OR = 1.68 for rs1800779, and OR = 1.76 for rs1799983, assuming an additive model.

          Conclusion

          Despite the limited number of HIE patients, we observed genotypic and haplotype associations of NOS3 polymorphisms with HIE.

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          Most cited references31

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          Efficiency and power in genetic association studies.

          We investigated selection and analysis of tag SNPs for genome-wide association studies by specifically examining the relationship between investment in genotyping and statistical power. Do pairwise or multimarker methods maximize efficiency and power? To what extent is power compromised when tags are selected from an incomplete resource such as HapMap? We addressed these questions using genotype data from the HapMap ENCODE project, association studies simulated under a realistic disease model, and empirical correction for multiple hypothesis testing. We demonstrate a haplotype-based tagging method that uniformly outperforms single-marker tests and methods for prioritization that markedly increase tagging efficiency. Examining all observed haplotypes for association, rather than just those that are proxies for known SNPs, increases power to detect rare causal alleles, at the cost of reduced power to detect common causal alleles. Power is robust to the completeness of the reference panel from which tags are selected. These findings have implications for prioritizing tag SNPs and interpreting association studies.
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            Nitric oxide synthases in mammals.

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              Assessing the impact of population stratification on genetic association studies.

              Population stratification refers to differences in allele frequencies between cases and controls due to systematic differences in ancestry rather than association of genes with disease. It has been proposed that false positive associations due to stratification can be controlled by genotyping a few dozen unlinked genetic markers. To assess stratification empirically, we analyzed data from 11 case-control and case-cohort association studies. We did not detect statistically significant evidence for stratification but did observe that assessments based on a few dozen markers lack power to rule out moderate levels of stratification that could cause false positive associations in studies designed to detect modest genetic risk factors. After increasing the number of markers and samples in a case-cohort study (the design most immune to stratification), we found that stratification was in fact present. Our results suggest that modest amounts of stratification can exist even in well designed studies.
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                Author and article information

                Journal
                Croat Med J
                CMJ
                Croatian Medical Journal
                Croatian Medical Schools
                0353-9504
                1332-8166
                June 2011
                : 52
                : 3
                : 396-402
                Affiliations
                [1 ]Department of Pediatrics, Clinical Hospital Centre Split, Split, Croatia
                [2 ]University of Split, School of Medicine, Split, Croatia
                [3 ]University of Osijek, School of Medicine, Osijek, Croatia
                [4 ]Penn State University, Eberly College of Science, University Park, Pa, USA
                [5 ]University of New Haven, West Haven, Conn, USA
                [6 ]Department of Pediatrics, General Hospital Šibenik, Šibenik, Croatia
                [7 ]Department of Medical Biology, University of Split, School of Medicine, Split, Croatia
                Author notes
                Correspondence to:
Tatijana Zemunik 
Department of Medical Biology
University of Split, School of Medicine
Šoltanska 2
21000 Split, Croatia 
 tzemunik@ 123456mefst.hr
                Article
                CroatMedJ_52_0396
                10.3325/cmj.2011.52.396
                3118712
                21674837
                a4d1fc60-aaf5-4994-bf85-68fab8b6e293
                Copyright © 2011 by the Croatian Medical Journal. All rights reserved.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 April 2011
                : 13 May 2011
                Categories
                Molecular Medicine

                Medicine
                Medicine

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