A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data
Karolinska Institutet · University College London
Abstract
MOTIVATION: The Illumina Infinium 450 k DNA Methylation Beadchip is a prime candidate technology for Epigenome-Wide Association Studies (EWAS). However, a difficulty associated with these beadarrays is that probes come in two different designs, characterized by widely different DNA methylation distributions and dynamic range, which may bias downstream analyses. A key statistical issue is therefore how best to adjust for the two different probe designs. RESULTS: Here we propose a novel model-based intra-array normalization strategy for 450 k data, called BMIQ (Beta MIxture Quantile dilation), to adjust the beta-values of type2 design probes into a statistical distribution characteristic of type1 probes. The…
Citation impact
- FWCI
- 20.42
- Percentile
- 100%
- References
- 27
Authors
7- AEAndrew E. TeschendorffCorresponding
Karolinska Institutet, University College London
- FMFrancesco Marabita
Karolinska Institutet, University College London
- MLMatthias Lechner
Karolinska Institutet, University College London
- TEThomas E. Bartlett
Karolinska Institutet, University College London
- JTJesper Tegnér
Karolinska Institutet, University College London
Topics & keywords
- Normalization (sociology)
- DNA methylation
- Preprocessor
- Computer science
- Computational biology
- Data mining
- Biology
- Genetics