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      African ancestry allelic variation at the MYH9 gene contributes to increased susceptibility to non-diabetic end-stage kidney disease in Hispanic Americans

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          Abstract

          Recent studies identified MYH9 as a major susceptibility gene for common forms of non-diabetic end-stage kidney disease (ESKD). A set of African ancestry DNA sequence variants comprising the E-1 haplotype, was significantly associated with ESKD. In order to determine whether African ancestry variants are also associated with disease susceptibility in admixed populations with differing genomic backgrounds, we genotyped a total of 1425 African and Hispanic American subjects comprising dialysis patients with diabetic and non-diabetic ESKD and controls, using 42 single nucleotide polymorphisms (SNPs) within the MYH9 gene and 40 genome-wide and 38 chromosome 22 ancestry informative markers. Following ancestry correction, logistic regression demonstrated that three of the E-1 SNPs are also associated with non-diabetic ESKD in the new sample sets of both African and Hispanic Americans, with a stronger association in Hispanic Americans. We also identified MYH9 SNPs that are even more powerfully associated with the disease phenotype than the E-1 SNPs. These newly associated SNPs, could be divided into those comprising a haplotype termed S-1 whose association was significant under a recessive or additive inheritance mode (rs5750248, OR 4.21, P < 0.01, Hispanic Americans, recessive), and those comprising a haplotype termed F-1 whose association was significant under a dominant or additive inheritance mode (rs11912763, OR 4.59, P < 0.01, Hispanic Americans, dominant). These findings strengthen the contention that a sequence variant of MYH9, common in populations with varying degrees of African ancestry admixture, and in strong linkage disequilibrium with the associated SNPs and haplotypes reported herein, strongly predisposes to non-diabetic ESKD.

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          Most cited references35

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          Molecular Cloning : A Laboratory Manual

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            NPHS2, encoding the glomerular protein podocin, is mutated in autosomal recessive steroid-resistant nephrotic syndrome.

            Familial idiopathic nephrotic syndromes represent a heterogeneous group of kidney disorders, and include autosomal recessive steroid-resistant nephrotic syndrome, which is characterized by early childhood onset of proteinuria, rapid progression to end-stage renal disease and focal segmental glomerulosclerosis. A causative gene for this disease, NPHS2, was mapped to 1q25-31 and we report here its identification by positional cloning. NPHS2 is almost exclusively expressed in the podocytes of fetal and mature kidney glomeruli, and encodes a new integral membrane protein, podocin, belonging to the stomatin protein family. We found ten different NPHS2 mutations, comprising nonsense, frameshift and missense mutations, to segregate with the disease, demonstrating a crucial role for podocin in the function of the glomerular filtration barrier.
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              Estimation of individual admixture: analytical and study design considerations.

              The genome of an admixed individual represents a mixture of alleles from different ancestries. In the United States, the two largest minority groups, African-Americans and Hispanics, are both admixed. An understanding of the admixture proportion at an individual level (individual admixture, or IA) is valuable for both population geneticists and epidemiologists who conduct case-control association studies in these groups. Here we present an extension of a previously described frequentist (maximum likelihood or ML) approach to estimate individual admixture that allows for uncertainty in ancestral allele frequencies. We compare this approach both to prior partial likelihood based methods as well as more recently described Bayesian MCMC methods. Our full ML method demonstrates increased robustness when compared to an existing partial ML approach. Simulations also suggest that this frequentist estimator achieves similar efficiency, measured by the mean squared error criterion, as Bayesian methods but requires just a fraction of the computational time to produce point estimates, allowing for extensive analysis (e.g., simulations) not possible by Bayesian methods. Our simulation results demonstrate that inclusion of ancestral populations or their surrogates in the analysis is required by any method of IA estimation to obtain reasonable results. (c) 2005 Wiley-Liss, Inc.
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                Author and article information

                Journal
                Hum Mol Genet
                hmg
                hmg
                Human Molecular Genetics
                Oxford University Press
                0964-6906
                1460-2083
                1 May 2010
                9 February 2010
                9 February 2010
                : 19
                : 9
                : 1816-1827
                Affiliations
                [1 ]Molecular Medicine Laboratory, simpleRambam Health Care Campus , Haifa 31096, Israel,
                [2 ]simpleRuth and Bruce Rappaport Faculty of Medicine and Research Institute, Technion - Israel Institute of Technology , Haifa 31096, Israel,
                [3 ]Department of Statistics and Operations Research, simpleTel Aviv University , Tel Aviv 69978, Israel,
                [4 ]Computer Science Department, simpleTechnion - Israel Institute of Technology , Haifa 32000, Israel,
                [5 ]Kidney Disease Section, simpleNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , Bethesda, MD 20892, USA,
                [6 ]Laboratory of Genomic Diversity, simpleSAIC-Frederick Inc., National Cancer Institute , Frederick, MD 21702, USA and
                [7 ]simpleCabrini Medical Center , New York City, NY,USA
                Author notes
                [* ]To whom correspondence should be addressed at: 8 Ha'Aliyah Street, Haifa 31096, Israel. Tel: +972 48543250; Fax: +972 48542333; Email: skorecki@ 123456tx.technion.ac.il
                [†]

                The authors wish it to be known that, in their opinion the first three authors should be regarded as joint First Authors.

                [‡]

                Present address: Nephrology Unit, Hadassah Medical Center, Jerusalem 91120, Israel.

                Article
                ddq040
                10.1093/hmg/ddq040
                2850615
                20144966
                877dc419-0bd9-4ea9-aab3-f8c7daf19542
                © The Author 2010. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.5/uk) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 September 2009
                : 19 January 2010
                : 25 January 2010
                Categories
                Association Studies Articles

                Genetics
                Genetics

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