Cargando…

Effects of Environment, Genetics and Data Analysis Pitfalls in an Esophageal Cancer Genome-Wide Association Study

BACKGROUND: The development of new high-throughput genotyping technologies has allowed fast evaluation of single nucleotide polymorphisms (SNPs) on a genome-wide scale. Several recent genome-wide association studies employing these technologies suggest that panels of SNPs can be a useful tool for pr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Statnikov, Alexander, Li, Chun, Aliferis, Constantin F.
Formato:	Texto
Lenguaje:	English
Publicado:	Public Library of Science 2007
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1978529/ https://www.ncbi.nlm.nih.gov/pubmed/17895998 http://dx.doi.org/10.1371/journal.pone.0000958

Ejemplares similares

Causal graph-based analysis of genome-wide association data in rheumatoid arthritis
por: Alekseyenko, Alexander V, et al.
Publicado: (2011)

Challenges in the Analysis of Mass-Throughput Data: A Technical Commentary from the Statistical Machine Learning Perspective
por: Aliferis, Constantin F., et al.
Publicado: (2007)

New methods for separating causes from effects in genomics data
por: Statnikov, Alexander, et al.
Publicado: (2012)

Analysis and Computational Dissection of Molecular Signature Multiplicity
por: Statnikov, Alexander, et al.
Publicado: (2010)

The FAST-AIMS Clinical Mass Spectrometry Analysis System
por: Fananapazir, Nafeh, et al.
Publicado: (2009)

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
por: Statnikov, Alexander, et al.
Publicado: (2008)

Factors Influencing the Statistical Power of Complex Data Analysis Protocols for Molecular Signature Development from Microarray Data
por: Aliferis, Constantin F., et al.
Publicado: (2009)

An Evaluation of Active Learning Causal Discovery Methods for Reverse-Engineering Local Causal Pathways of Gene Regulation
por: Ma, Sisi, et al.
Publicado: (2016)

Information content and analysis methods for Multi-Modal High-Throughput Biomedical Data
por: Ray, Bisakha, et al.
Publicado: (2014)

Expanding the Understanding of Biases in Development of Clinical-Grade Molecular Signatures: A Case Study in Acute Respiratory Viral Infections
por: Lytkin, Nikita I., et al.
Publicado: (2011)

Using gene expression profiles from peripheral blood to identify asymptomatic responses to acute respiratory viral infections
por: Statnikov, Alexander, et al.
Publicado: (2010)

A comprehensive evaluation of multicategory classification methods for microbiomic data
por: Statnikov, Alexander, et al.
Publicado: (2013)

Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison
por: Statnikov, Alexander, et al.
Publicado: (2013)

Q&A: Promise and pitfalls of genome-wide association studies
por: Brookfield, John FY
Publicado: (2010)

Assessing quality and completeness of human transcriptional regulatory pathways on a genome-wide scale
por: Shmelkov, Evgeny, et al.
Publicado: (2011)

Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies
por: Schwabe, I., et al.
Publicado: (2019)

The Pitfalls of Genomic Data Diversity
por: Jabloner, Anna, et al.
Publicado: (2023)

Regression of Atherosclerosis Is Characterized by Broad Changes in the Plaque Macrophage Transcriptome
por: Feig, Jonathan E., et al.
Publicado: (2012)

A Complex Systems Approach to Causal Discovery in Psychiatry
por: Saxe, Glenn N., et al.
Publicado: (2016)

Current Affairs of Microbial Genome-Wide Association Studies: Approaches, Bottlenecks and Analytical Pitfalls
por: San, James Emmanuel, et al.
Publicado: (2020)

Genome-wide association studies of severe P. falciparum malaria susceptibility: progress, pitfalls and prospects
por: Damena, Delesa, et al.
Publicado: (2019)

Pitfalls in clinical genetics
por: Chin, Hui-Lin, et al.
Publicado: (2023)

Associations between genetic loci, environment factors and mental disorders: a genome-wide survival analysis using the UK Biobank data
por: Meng, Peilin, et al.
Publicado: (2022)

Pitfalls in the Interpretation of Chicago Classification for Esophageal Motility Disorders
por: Herbella, Fernando A M, et al.
Publicado: (2021)

Endotracheal Intubation in a Neonate with Esophageal Atresia and Trachea-Esophageal Fistula: Pitfalls and Techniques
por: Taneja, Bharti, et al.
Publicado: (2014)

Esophageal Gastrointestinal Stromal Tumor: Diagnostic Complexity and Management Pitfalls
por: Markakis, Charalampos G., et al.
Publicado: (2013)

Pearls and pitfalls of genomics-based microbiome analysis
por: Carlos, Nossa, et al.
Publicado: (2012)

Classical Pitfalls in Contemporary Nuclear Data Analysis
por: Heydorn, K.
Publicado: (1988)

Comprehensive Genome-Scale Analysis of Esophageal Carcinoma With Esophageal Tissue-Resident Micro-Environment Discrepancy
por: Yang, Huiqin, et al.
Publicado: (2022)

Personalized and precision medicine informatics: a workflow-based view
por: Adam, Terrence, et al.
Publicado: (2019)

Some pitfalls in application of functional data analysis approach to association studies
por: Svishcheva, G. R., et al.
Publicado: (2016)

Clinical Genetics Can Solve the Pitfalls of Genome-Wide Investigations: Lesson from Mismapping a Loss-of-Function Variant in KANSL1
por: Bigoni, Stefania, et al.
Publicado: (2020)

Internet of things and secure smart environments: successes and pitfalls
por: Ghosh, Uttam, et al.
Publicado: (2020)

Thyroid Ultrasound Pitfalls: Esophageal Fibrovascular Polyp Mimicking Thyroid Nodule
por: Ansaloni, Anna, et al.
Publicado: (2016)

Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data
por: Cole, David M., et al.
Publicado: (2010)

Genome-wide association studies and the genetics of entrepreneurship
por: van der Loos, Matthijs J. H. M., et al.
Publicado: (2010)

The Genetics of Sepsis: The Promise, the Progress and the Pitfalls
por: Waterer, Grant W.
Publicado: (2008)

Pitfalls of analysis /
Publicado: (1980)

Cumulative evidence for association between genetic polymorphisms and esophageal cancer susceptibility: A review with evidence from meta‐analysis and genome‐wide association studies
por: Tian, Jie, et al.
Publicado: (2019)

Genome-wide association analysis of eosinophilic esophagitis provides insight into the tissue specificity of this allergic disease
por: Kottyan, Leah C., et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_v4esavnjbr1likj23dq0a0jlql