Cargando…

A principal-components-based clustering method to identify multiple variants associated with rheumatoid arthritis and arthritis-related autoantibodies

Multivariate techniques are an important area of investigation for studying contributions of multiple genetic variants to disease onset and pathology. We analyzed the Genetic Analysis Workshop 16 North American Rheumatoid Arthritis Consortium (NARAC) data using a principal-components analysis (PCA)...

Descripción completa

Detalles Bibliográficos
Autores principales:	Black, Mary Helen, Watanabe, Richard M
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2009
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795902/ https://www.ncbi.nlm.nih.gov/pubmed/20017995

Ejemplares similares

Comparison of methods for correcting population stratification in a genome-wide association study of rheumatoid arthritis: principal-component analysis versus multidimensional scaling
por: Wang, Dai, et al.
Publicado: (2009)

Principal-component-based population structure adjustment in the North American Rheumatoid Arthritis Consortium data: impact of single-nucleotide polymorphism set and analysis method
por: Peloso, Gina M, et al.
Publicado: (2009)

Clustering and principal-components approach based on heritability for mapping multiple gene expressions
por: Wang, Yuanjia, et al.
Publicado: (2007)

Identifying rheumatoid arthritis susceptibility genes using high-dimensional methods
por: Liang, Xueying, et al.
Publicado: (2009)

Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes
por: Huang, Chien-Hsun, et al.
Publicado: (2009)

Incorporating multiple-marker information to detect risk loci for rheumatoid arthritis
por: Wang, Xuexia, et al.
Publicado: (2009)

Identification of correlated genetic variants jointly associated with rheumatoid arthritis using ridge regression
por: Sun, Yan V, et al.
Publicado: (2009)

Identification of novel putative rheumatoid arthritis susceptibility genes via analysis of rare variants
por: Morris, Andrew P, et al.
Publicado: (2009)

Use of principal components to aggregate rare variants in case-control and family-based association studies in the presence of multiple covariates
por: Kazma, Rémi, et al.
Publicado: (2011)

Two-dimensional linkage analyses of rheumatoid arthritis
por: Mukhopadhyay, Nandita, et al.
Publicado: (2007)

Modeling the effect of PTPN22 in rheumatoid arthritis
por: Bourgey, Mathieu, et al.
Publicado: (2007)

Association mapping of susceptibility loci for rheumatoid arthritis
por: Kuo, Tai-Yue, et al.
Publicado: (2007)

Exploring epistasis in candidate genes for rheumatoid arthritis
por: Ritchie, Marylyn D, et al.
Publicado: (2007)

A two-stage search strategy for detecting multiple loci associated with rheumatoid arthritis
por: Chanda, Pritam, et al.
Publicado: (2009)

No evidence for multiple loci affecting rheumatoid arthritis risk on chromosome 6p21
por: Sherva, Richard, et al.
Publicado: (2007)

Genome-wide association studies of rheumatoid arthritis data via multiple hypothesis testing methods for correlated tests
por: Kang, Guolian, et al.
Publicado: (2009)

Exploring pleiotropy using principal components
por: Bensen, Jeannette T, et al.
Publicado: (2003)

Allelic based gene-gene interactions in rheumatoid arthritis
por: Jung, Jeesun, et al.
Publicado: (2009)

Conditional analysis of the major histocompatibility complex in rheumatoid arthritis
por: Taylor, Kimberly E, et al.
Publicado: (2009)

Association tests based on the principal-component analysis
por: Oh, Sohee, et al.
Publicado: (2007)

Simultaneous genome-wide association studies of anti-cyclic citrullinated peptide in rheumatoid arthritis using penalized orthogonal-components regression
por: Lin, Yanzhu, et al.
Publicado: (2009)

An integrated genome-wide association analysis on rheumatoid arthritis data
por: Zhang, Jun, et al.
Publicado: (2007)

Application of imputation methods to the analysis of rheumatoid arthritis data in genome-wide association studies
por: Childers, Douglas K, et al.
Publicado: (2009)

Comparison of haplotyping methods using families and unrelated individuals on simulated rheumatoid arthritis data
por: Li, Xin, et al.
Publicado: (2007)

Representation of genetic association via attributable familial relative risks in order to identify polymorphisms functionally relevant to rheumatoid arthritis
por: Bermejo, Justo Lorenzo, et al.
Publicado: (2009)

Two-stage approach for identifying single-nucleotide polymorphisms associated with rheumatoid arthritis using random forests and Bayesian networks
por: Meng, Yan, et al.
Publicado: (2007)

Identifying single-nucleotide polymorphisms responsible for the linkage signal of rheumatoid arthritis on chromosome 6 by joint modeling of linkage and association
por: Lin, Wan-Yu, et al.
Publicado: (2007)

Identification of gene-gene interaction using principal components
por: Li, Jia, et al.
Publicado: (2009)

Linkage and association analyses of principal components in expression data
por: Hinrichs, Anthony L, et al.
Publicado: (2007)

Identification of genes and haplotypes that predict rheumatoid arthritis using random forests
por: Tang, Rui, et al.
Publicado: (2009)

Graphic analysis of population structure on genome-wide rheumatoid arthritis data
por: Zhang, Jun, et al.
Publicado: (2009)

Mapping a gene for rheumatoid arthritis on chromosome 18q21
por: Tapper, William, et al.
Publicado: (2007)

A genome-wide ordered-subset linkage analysis for rheumatoid arthritis
por: Mandhyan, Desh Deep, et al.
Publicado: (2007)

Modeling of PTPN22 and HLA-DRB1 susceptibility to rheumatoid arthritis
por: Gagnon, France, et al.
Publicado: (2007)

A two-dimensional genome scan for rheumatoid arthritis susceptibility loci
por: Bell, Jordana Tzenova
Publicado: (2007)

Rheumatoid arthritis, item response theory, Blom transformation, and mixed models
por: Kraja, Aldi T, et al.
Publicado: (2007)

Adjusting for sex and anti-CCP levels in linkage analysis of rheumatoid arthritis
por: Lebrec, Jérémie JP, et al.
Publicado: (2007)

SEM-EDS investigation on PM10 data collected in Central Italy: Principal Component Analysis and Hierarchical Cluster Analysis
por: Genga, Alessandra, et al.
Publicado: (2012)

A quantile-based method for association mapping of quantitative phenotypes: an application to rheumatoid arthritis phenotypes
por: Ghosh, Saurabh, et al.
Publicado: (2009)

Bivariate genome scans incorporating factor and principal component analyses to identify common genetic components of alcoholism, event-related potential, and electroencephalogram phenotypes
por: Lin, Jing-Ping, et al.
Publicado: (2005)

Cannot write session to /tmp/vufind_sessions/sess_0o24i2dflkf4j6cd6cja67jc9g