Search Results - "Svishcheva, Gulnara R"

sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics by Belonogova, Nadezhda M, Svishcheva, Gulnara R, Kirichenko, Anatoly V, Zorkoltseva, Irina V, Tsepilov, Yakov A, Axenovich, Tatiana I

“…Gene-based association analysis is an effective gene-mapping tool. Many gene-based methods have been proposed recently. However, their power depends on the…”
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Region-Based Association Test for Familial Data under Functional Linear Models by Svishcheva, Gulnara R, Belonogova, Nadezhda M, Axenovich, Tatiana I

“…Region-based association analysis is a more powerful tool for gene mapping than testing of individual genetic variants, particularly for rare genetic variants…”
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Weighted functional linear regression models for gene-based association analysis by Belonogova, Nadezhda M, Svishcheva, Gulnara R, Wilson, James F, Campbell, Harry, Axenovich, Tatiana I

“…Functional linear regression models are effectively used in gene-based association analysis of complex traits. These models combine information about…”
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Region-based association analysis of human quantitative traits in related individuals by Belonogova, Nadezhda M, Svishcheva, Gulnara R, van Duijn, Cornelia M, Aulchenko, Yurii S, Axenovich, Tatiana I

“…Regional-based association analysis instead of individual testing of each SNP was introduced in genome-wide association studies to increase the power of gene…”
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FFBSKAT: fast family-based sequence kernel association test by Svishcheva, Gulnara R, Belonogova, Nadezhda M, Axenovich, Tatiana I

“…The kernel machine-based regression is an efficient approach to region-based association analysis aimed at identification of rare genetic variants. However,…”
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A generalized model for combining dependent SNP-level summary statistics and its extensions to statistics of other levels by Svishcheva, Gulnara R.

“…Here I propose a fundamentally new flexible model to reveal the association between a trait and a set of genetic variants in a genomic region/gene. This model…”
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Gene-based association tests using GWAS summary statistics by Svishcheva, Gulnara R, Belonogova, Nadezhda M, Zorkoltseva, Irina V, Kirichenko, Anatoly V, Axenovich, Tatiana I

“…Abstract Motivation A huge number of genome-wide association studies (GWAS) summary statistics freely available in databases provide a new material for…”
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Rapid variance components–based method for whole-genome association analysis by Svishcheva, Gulnara R, Axenovich, Tatiana I, Belonogova, Nadezhda M, van Duijn, Cornelia M, Aulchenko, Yurii S

“…Yurii Aulchenko and colleagues report a variance components–based method, GRAMMAR-Gamma, for genome-wide association studies including a large number of…”
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FREGAT: an R package for region-based association analysis by Belonogova, Nadezhda M, Svishcheva, Gulnara R, Axenovich, Tatiana I

“…Several approaches to the region-based association analysis of quantitative traits have recently been developed and successively applied. However, no software…”
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Genetic structure of native and naturalized populations of sable (Martes zibellina L.) of the Central Siberian Plateau and adjacent territories by Filimonov, Pavel A., Zakharov, Evgeny S., Kochkarev, Pavel V., Politov, Dmitry V., Davydov, Andrey V., Onokhov, Alexey A., Wei, J., Somova, Marya M., Zakharova, Nadezhda N., Svishcheva, Gulnara R., Stolpovsky, Yury A., Salnikova, Lyubov E., Kashtanov, Sergey N.

“…The sable ( Martes zibellina L.) range extends from the western slopes of the Ural Mountains to the Far East. Sable has a complex intraspecific structure;…”
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A New Method for Conditional Gene-Based Analysis Effectively Accounts for the Regional Polygenic Background by Svishcheva, Gulnara R, Belonogova, Nadezhda M, Kirichenko, Anatoly V, Tsepilov, Yakov A, Axenovich, Tatiana I

“…Gene-based association analysis is a powerful tool for identifying genes that explain trait variability. An essential step of this analysis is a conditional…”
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Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes by Zorkoltseva, Irina V, Elgaeva, Elizaveta E, Belonogova, Nadezhda M, Kirichenko, Anatoliy V, Svishcheva, Gulnara R, Freidin, Maxim B, Williams, Frances M K, Suri, Pradeep, Tsepilov, Yakov A, Axenovich, Tatiana I

“…Back pain (BP) is a major contributor to disability worldwide, with heritability estimated at 40-60%. However, less than half of the heritability is explained…”
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Nonsynonymous Variation in NKPD1 Increases Depressive Symptoms in European Populations by Amin, Najaf, Belonogova, Nadezhda M, Jovanova, Olivera, Brouwer, Rutger W.W, van Rooij, Jeroen G.J, van den Hout, Mirjam C.G.N, Svishcheva, Gulnara R, Kraaij, Robert, Zorkoltseva, Irina V, Kirichenko, Anatoly V, Hofman, Albert, Uitterlinden, André G, van IJcken, Wilfred F.J, Tiemeier, Henning, Axenovich, Tatiana I, van Duijn, Cornelia M

“…Abstract Background Despite high heritability, little success was achieved in mapping genetic determinants of depression-related traits by means of genome-wide…”
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A Novel Framework for Analysis of the Shared Genetic Background of Correlated Traits by Svishcheva, Gulnara R, Tiys, Evgeny S, Elgaeva, Elizaveta E, Feoktistova, Sofia G, Timmers, Paul R H J, Sharapov, Sodbo Zh, Axenovich, Tatiana I, Tsepilov, Yakov A

“…We propose a novel effective framework for the analysis of the shared genetic background for a set of genetically correlated traits using SNP-level GWAS…”
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Rapid variance components―based method for whole-genome association analysis by SVISHCHEVA, Gulnara R, AXENOVICH, Tatiana I, BELONOGOVA, Nadezhda M, VAN DUIJN, Cornelia M, AULCHENKO, Yurii S

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