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      Family-based Association Analyses of Imputed Genotypes Reveal Genome-Wide Significant Association of Alzheimer’s disease with OSBPL6, PTPRG and PDCL3

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          Abstract

          The genetic basis of Alzheimer's disease (AD) is complex and heterogeneous. Over 200 highly penetrant pathogenic variants in the genes APP, PSEN1 and PSEN2 cause a subset of early-onset familial Alzheimer's disease (EOFAD). On the other hand, susceptibility to late-onset forms of AD (LOAD) is indisputably associated to the ε4 allele in the gene APOE, and more recently to variants in more than two-dozen additional genes identified in the large-scale genome-wide association studies (GWAS) and meta-analyses reports. Taken together however, although the heritability in AD is estimated to be as high as 80%, a large proportion of the underlying genetic factors still remain to be elucidated. In this study we performed a systematic family-based genome-wide association and meta-analysis on close to 15 million imputed variants from three large collections of AD families (~3,500 subjects from 1,070 families). Using a multivariate phenotype combining affection status and onset age, meta-analysis of the association results revealed three single nucleotide polymorphisms (SNPs) that achieved genome-wide significance for association with AD risk: rs7609954 in the gene PTPRG (P-value = 3.98·10 −08), rs1347297 in the gene OSBPL6 (P-value = 4.53·10 −08), and rs1513625 near PDCL3 (P-value = 4.28·10 −08). In addition, rs72953347 in OSBPL6 (P-value = 6.36·10 −07) and two SNPs in the gene CDKAL1 showed marginally significant association with LOAD (rs10456232, P-value: 4.76·10 −07; rs62400067, P-value: 3.54·10 −07). In summary, family-based GWAS meta-analysis of imputed SNPs revealed novel genomic variants in (or near) PTPRG, OSBPL6, and PDCL3 that influence risk for AD with genome-wide significance.

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          Most cited references23

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          Genome-wide association analysis reveals putative Alzheimer's disease susceptibility loci in addition to APOE.

          Alzheimer's disease (AD) is a genetically complex and heterogeneous disorder. To date four genes have been established to either cause early-onset autosomal-dominant AD (APP, PSEN1, and PSEN2(1-4)) or to increase susceptibility for late-onset AD (APOE5). However, the heritability of late-onset AD is as high as 80%, (6) and much of the phenotypic variance remains unexplained to date. We performed a genome-wide association (GWA) analysis using 484,522 single-nucleotide polymorphisms (SNPs) on a large (1,376 samples from 410 families) sample of AD families of self-reported European descent. We identified five SNPs showing either significant or marginally significant genome-wide association with a multivariate phenotype combining affection status and onset age. One of these signals (p = 5.7 x 10(-14)) was elicited by SNP rs4420638 and probably reflects APOE-epsilon4, which maps 11 kb proximal (r2 = 0.78). The other four signals were tested in three additional independent AD family samples composed of nearly 2700 individuals from almost 900 families. Two of these SNPs showed significant association in the replication samples (combined p values 0.007 and 0.00002). The SNP (rs11159647, on chromosome 14q31) with the strongest association signal also showed evidence of association with the same allele in GWA data generated in an independent sample of approximately 1,400 AD cases and controls (p = 0.04). Although the precise identity of the underlying locus(i) remains elusive, our study provides compelling evidence for the existence of at least one previously undescribed AD gene that, like APOE-epsilon4, primarily acts as a modifier of onset age.
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            Implementing a unified approach to family-based tests of association.

            We describe a broad class of family-based association tests that are adjusted for admixture; use either dichotomous or measured phenotypes; accommodate phenotype-unknown subjects; use nuclear families, sibships or a combination of the two, permit multiple nuclear families from a single pedigree; incorporate di- or multi-allelic marker data; allow additive, dominant or recessive models; and permit adjustment for covariates and gene-by-environment interactions. The test statistic is basically the covariance between a user-specified function of the genotype and a user-specified function of the trait. The distribution of the statistic is computed using the appropriate conditional distribution of offspring genotypes that adjusts for admixture.
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              • Record: found
              • Abstract: found
              • Article: not found

              Alzheimer's disease and Down's syndrome: sharing of a unique cerebrovascular amyloid fibril protein.

              The cerebrovascular amyloid protein from a case of adult Down's syndrome was isolated and purified. Amino acid sequence analysis showed it to be homologous to that of the beta protein of Alzheimer's disease. This is the first chemical evidence of a relationship between Down's syndrome and Alzheimer's disease. It suggests that Down's syndrome may be a predictable model for Alzheimer's disease. Assuming the beta protein is a human gene product, it also suggests that the genetic defect in Alzheimer's disease is localized on chromosome 21.
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                Author and article information

                Journal
                9607835
                20545
                Mol Psychiatry
                Mol. Psychiatry
                Molecular psychiatry
                1359-4184
                1476-5578
                10 December 2015
                02 February 2016
                10 August 2016
                : 10.1038/mp.2015.218
                Affiliations
                [1 ] German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
                [2 ] Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114 USA
                [3 ] Department of Biostatistics, Harvard T.H Chan School of Public Health, Boston, 02115 Massachusetts, USA
                [4 ] Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany
                [5 ] Department of Biomedicine, Bartholins Allé 6, 8000 Aarhus Denmark
                [6 ] Computational Sciences, Janssen Research & Development, Pharmaceutical Company of Johnson & Johnson, Spring House, Pennsylvania, 19477
                [7 ] School of Public Health, Faculty of Medicine, The Imperial College of Science, Technology, and Medicine, London, W6 8RP, UK
                [8 ] Platform for Genome Analytics, Institutes of Neurogenetics & Integrative and Experimental Genomics, University of Lübeck, 23552 Lübeck, Germany
                Author notes
                [§]

                Contributed equally to the work

                [* ] To whom correspondence should be addressed: Christoph Lange, Ph.D., Professor of Biostatistics, Department of Biostatistics, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, Massachusetts 02115, Tel: +1 (617) 432-4925, clange@ 123456hsph.harvard.edu , and, Rudolph E. Tanzi, Ph.D., Director, Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA, Joesph P. and Rose F. Kennedy Professor of Neurology, Harvard Medical School, Boston, Massachusetts 02114, USA, Tel: +1 (617) 726-6845, tanzi@ 123456helix.mgh.harvard.edu
                Article
                NIHMS743432
                10.1038/mp.2015.218
                4970971
                26830138
                ba494021-02fc-4268-9b11-9be69138ed50

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                Molecular medicine
                Molecular medicine

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