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• W2374490802 abstract "With recent development of high-throughput genotyping technologies, the usage of Genome-Wide Association Studies (GWAS) has become widespread in genetic research. By screening large portions of the genome, these studies aim to characterize genetic factors involved in the development of complex genetic diseases.GWAS are also based on the existence of statistical dependencies, called Linkage Disequilibrium (LD) usually observed between nearby loci on DNA. LD is defined as the non-random association of alleles at different loci on the same chromosome or on different chromosomes in a population. This biological feature is of fundamental importance in association studies as it provides a fine location of unobserved causal mutations using adjacent genetic markers. Nevertheless, the complex block structure induced by LD as well as the large volume of genetic data are key issues that have arisen with GWA studies.The contributions presented in this manuscript are in twofold, both methodological and algorithmic. On the methodological part, we propose a three-step approach that explicitly takes advantage of the grouping structure induced by LD in order to identify common variants which may have been missed by single marker analyses. In the first step, we perform a hierarchical clustering of SNPs with an adjacency constraint using LD as a similarity measure. In the second step, we apply a model selection approach to the obtained hierarchy in order to define LD blocks. Finally, we perform Group Lasso regression on the inferred LD blocks. The efficiency of the proposed approach is investigated compared to state-of-the art regression methods on simulated, semi-simulated and real GWAS data.On the algorithmic part, we focus on the spatially-constrained hierarchical clustering algorithm whose quadratic time complexity is not adapted to the high-dimensionality of GWAS data. We then present, in this manuscript, an efficient implementation of such an algorithm in the general context of any similarity measure. By introducing a user-parameter h and using the min-heap structure, we obtain a sub-quadratic time complexity of the adjacency-constrained hierarchical clustering algorithm, as well as a linear space complexity in the number of items to be clustered. The interest of this novel algorithm is illustrated in GWAS applications." @default.
• W2374490802 created "2016-06-24" @default.
• W2374490802 creator A5074530707 @default.
• W2374490802 date "2015-12-09" @default.
• W2374490802 modified "2023-09-23" @default.
• W2374490802 title "Spatial clustering of linkage disequilibrium blocks for genome-wide association studies" @default.
• W2374490802 cites W1508985588 @default.
• W2374490802 cites W1528905581 @default.
• W2374490802 cites W1551600243 @default.
• W2374490802 cites W1558262503 @default.
• W2374490802 cites W1560724230 @default.
• W2374490802 cites W1583476286 @default.
• W2374490802 cites W1589344683 @default.
• W2374490802 cites W1596515083 @default.
• W2374490802 cites W1730861791 @default.
• W2374490802 cites W1842924979 @default.
• W2374490802 cites W1944603233 @default.
• W2374490802 cites W1964901903 @default.
• W2374490802 cites W1965138864 @default.
• W2374490802 cites W1969673534 @default.
• W2374490802 cites W1971376634 @default.
• W2374490802 cites W1971943467 @default.
• W2374490802 cites W1973769499 @default.
• W2374490802 cites W1974530346 @default.
• W2374490802 cites W1974818185 @default.
• W2374490802 cites W1975152892 @default.
• W2374490802 cites W1980991473 @default.
• W2374490802 cites W1982439021 @default.
• W2374490802 cites W1982733535 @default.
• W2374490802 cites W1984232623 @default.
• W2374490802 cites W1984629635 @default.
• W2374490802 cites W1986920327 @default.
• W2374490802 cites W1987371344 @default.
• W2374490802 cites W1996838604 @default.
• W2374490802 cites W1997917263 @default.
• W2374490802 cites W1998019829 @default.
• W2374490802 cites W1998977949 @default.
• W2374490802 cites W2001705674 @default.
• W2374490802 cites W2005935256 @default.
• W2374490802 cites W2007175522 @default.
• W2374490802 cites W2007807048 @default.
• W2374490802 cites W2007995029 @default.
• W2374490802 cites W2010656511 @default.
• W2374490802 cites W2015408724 @default.
• W2374490802 cites W2016381774 @default.
• W2374490802 cites W2020925091 @default.
• W2374490802 cites W2025306791 @default.
• W2374490802 cites W2029033394 @default.
• W2374490802 cites W2037454239 @default.
• W2374490802 cites W2037586880 @default.
• W2374490802 cites W2040245019 @default.
• W2374490802 cites W2043601400 @default.
• W2374490802 cites W2048129555 @default.
• W2374490802 cites W2049633694 @default.
• W2374490802 cites W2050730569 @default.
• W2374490802 cites W2050741655 @default.
• W2374490802 cites W2055381990 @default.
• W2374490802 cites W2056713533 @default.
• W2374490802 cites W2058240339 @default.
• W2374490802 cites W2071949631 @default.
• W2374490802 cites W2076930955 @default.
• W2374490802 cites W2083475779 @default.
• W2374490802 cites W2085487226 @default.
• W2374490802 cites W2087216833 @default.
• W2374490802 cites W2090037139 @default.
• W2374490802 cites W2090430326 @default.
• W2374490802 cites W2091633036 @default.
• W2374490802 cites W2094260121 @default.
• W2374490802 cites W2096140674 @default.
• W2374490802 cites W2099527353 @default.
• W2374490802 cites W2101805784 @default.
• W2374490802 cites W2107889007 @default.
• W2374490802 cites W2108687351 @default.
• W2374490802 cites W2108901178 @default.
• W2374490802 cites W2110065044 @default.
• W2374490802 cites W2110439195 @default.
• W2374490802 cites W2116868464 @default.
• W2374490802 cites W2119279196 @default.
• W2374490802 cites W2122189635 @default.
• W2374490802 cites W2122455852 @default.
• W2374490802 cites W2122825543 @default.
• W2374490802 cites W2124277514 @default.
• W2374490802 cites W2130539871 @default.
• W2374490802 cites W2133592628 @default.
• W2374490802 cites W2133857505 @default.
• W2374490802 cites W2134783591 @default.
• W2374490802 cites W2134814710 @default.
• W2374490802 cites W2135046866 @default.
• W2374490802 cites W2135732313 @default.
• W2374490802 cites W2136601606 @default.
• W2374490802 cites W2136886129 @default.
• W2374490802 cites W2138019504 @default.
• W2374490802 cites W2138221062 @default.
• W2374490802 cites W2138265962 @default.
• W2374490802 cites W2140514146 @default.
• W2374490802 cites W2148559943 @default.
• W2374490802 cites W2149226536 @default.
• W2374490802 cites W2152664025 @default.
• W2374490802 cites W2153899794 @default.
• W2374490802 cites W2156341632 @default.

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