Cargando…

Principal Component Analysis Characterizes Shared Pathogenetics from Genome-Wide Association Studies

Genome-wide association studies (GWASs) have recently revealed many genetic associations that are shared between different diseases. We propose a method, disPCA, for genome-wide characterization of shared and distinct risk factors between and within disease classes. It flips the conventional GWAS pa...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chang, Diana, Keinan, Alon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4161298/ https://www.ncbi.nlm.nih.gov/pubmed/25211452 http://dx.doi.org/10.1371/journal.pcbi.1003820

Ejemplares similares

Supervised categorical principal component analysis for genome-wide association analyses
por: Lu, Meng, et al.
Publicado: (2014)

Fast Principal Component Analysis of Large-Scale Genome-Wide Data
por: Abraham, Gad, et al.
Publicado: (2014)

Predicting Signatures of “Synthetic Associations” and “Natural Associations” from Empirical Patterns of Human Genetic Variation
por: Chang, Diana, et al.
Publicado: (2012)

Principal component analysis
por: Gray, Virginia
Publicado: (2017)

Principal component analysis
por: Jolliffe, I T
Publicado: (1986)

Principal component analysis
por: Jolliffe, I T
Publicado: (2002)

Genome-wide association study of shared components of reading disability and language impairment
por: Eicher, J D, et al.
Publicado: (2013)

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

Generalized principal component analysis
por: Vidal, René, et al.
Publicado: (2016)

Direct Phenotyping and Principal Component Analysis of Type Traits Implicate Novel QTL in Bovine Mastitis through Genome-Wide Association
por: Miles, Asha M., et al.
Publicado: (2021)

The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis
por: Monaghan, Andrew S., et al.
Publicado: (2021)

Principal Component Analysis and Molecular Characterization of Reniform Nematode Populations in Alabama
por: Nyaku, Seloame T., et al.
Publicado: (2016)

Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis
por: Hirayama, Jun-ichiro, et al.
Publicado: (2016)

Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures
por: Sevy, Alexander M., et al.
Publicado: (2019)

Characterization and Discrimination of Gram-Positive Bacteria Using Raman Spectroscopy with the Aid of Principal Component Analysis
por: Colniță, Alia, et al.
Publicado: (2017)

Principal component analysis networks and algorithms
por: Kong, Xiangyu, et al.
Publicado: (2017)

Principal Components Analysis of Population Admixture
por: Ma, Jianzhong, et al.
Publicado: (2012)

Principal component analysis for designed experiments
por: Konishi, Tomokazu
Publicado: (2015)

Resonant quantum principal component analysis
por: Li, Zhaokai, et al.
Publicado: (2021)

Classification of cannabis strains in the Canadian market with discriminant analysis of principal components using genome-wide single nucleotide polymorphisms
por: Jin, Dan, et al.
Publicado: (2021)

Investigation of Inversion Polymorphisms in the Human Genome Using Principal Components Analysis
por: Ma, Jianzhong, et al.
Publicado: (2012)

Principal Component Analysis Applications in COVID-19 Genome Sequence Studies
por: Wang, Bo, et al.
Publicado: (2021)

Incorporating Prior Knowledge of Principal Components in Genomic Prediction
por: Hosseini-Vardanjani, Sayed M., et al.
Publicado: (2018)

Combining least absolute shrinkage and selection operator (LASSO) and principal-components analysis for detection of gene-gene interactions in genome-wide association studies
por: D'Angelo, Gina M, et al.
Publicado: (2009)

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)

Developmental Effects on Pattern Visual Evoked Potentials Characterized by Principal Component Analysis
por: Patterson Gentile, Carlyn, et al.
Publicado: (2021)

Categorical principal component analysis to characterize patients at Intensive Care Unit admission
por: Favara, G, et al.
Publicado: (2022)

The Pathogenetic Picture
por: Fincke, B.
Publicado: (1891)

The RASopathies: from pathogenetics to therapeutics
por: Hebron, Katie E., et al.
Publicado: (2022)

Kernel Principal Component Analysis of Coil Compression in Parallel Imaging
por: Chang, Yuchou, et al.
Publicado: (2018)

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

Advances in principal component analysis: research and development
por: Naik, Ganesh R
Publicado: (2017)

Nonlinear principal component analysis and its applications
por: Mori, Yuichi, et al.
Publicado: (2016)

A Genealogical Interpretation of Principal Components Analysis
por: McVean, Gil
Publicado: (2009)

Probabilistic principal component analysis for metabolomic data
por: Nyamundanda, Gift, et al.
Publicado: (2010)

Constrained principal component analysis and related techniques
por: Takane, Yoshio
Publicado: (2013)

Stochastic convex sparse principal component analysis
por: Baytas, Inci M., et al.
Publicado: (2016)

An Eigenvalue test for spatial principal component analysis
por: Montano, V., et al.
Publicado: (2017)

Covariate-Adjusted Hybrid Principal Components Analysis
por: Scheffler, Aaron Wolfe, et al.
Publicado: (2020)

Principal Component Analysis on Recurrent Venous Thromboembolism
por: Martins, Tiago D., et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_u74dr6nth7v6ct137kgombjhov