Using GWAS data to identify copy number variants contributing to common complex diseases

DOI10.1214/09-STS304zbMath1329.62441arXiv1010.5040OpenAlexW3099479888MaRDI QIDQ908135

Sebastian Zöllner, Tanya M. Teslovich

Publication date: 3 February 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1010.5040

zbMATH Keywords

hidden Markov modellinkage disequilibriumSNPgenome-wide association studycopy number variation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Paired and multiple comparisons; multiple testing (62J15)

Related Items (1)

Methodological issues in multistage genome-wide association studies

Uses Software

• PennCNV

Cites Work

• Hidden Markov models approach to the analysis of array CGH data
• DNA Microarray Experiments: Biological and Technological Aspects
• Circular binary segmentation for the analysis of array-based DNA copy number data

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