A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies
Open accessAbstract
DNA methylation plays a fundamental role in the regulation of the genome, but the optimal strategy for analysis of genome-wide DNA methylation data remains to be determined. We developed a comprehensive analysis pipeline for epigenome-wide association studies (EWAS) using the Illumina Infinium HumanMethylation450 BeadChip, based on 2,687 individuals, with 36 samples measured in duplicate. We propose new approaches to quality control, data normalisation and batch correction through control-probe adjustment and establish a null hypothesis for EWAS using permutation testing. Our analysis pipeline outperforms existing approaches, enabling accurate identification of methylation quantitative trait loci for hypothesis driven follow-up experiments.
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One suggestive CpG (cg04099436) was flagged for cross-reactivity and thus omitted from the results.
“One of the suggestive CpGs (cg04099436) was flagged for cross-reactivity (cf. Lehne et al., 2015; Pidsley et al., 2016) and thus omitted from the results.”
From Epigenome-wide DNA methylation in unipolar depression: predictive biomarker of antidepressant treatment response? (2024) · cites this paper as Lehne et al., 2015
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- Authors
- Lehne, B., Drong, A. W., Loh, M., Zhang, W., Scott, W. R., Tan, S.-T., Afzal, U., Scott, J., Jarvelin, M.-R., Elliott, P., McCarthy, M. I., Kooner, J. S., & Chambers, J. C.
- Affiliations
- Imperial College London (GB)
- Centre for Human Genetics (GB)
- Ealing Hospital NHS Trust (GB)
- MRC Centre for Environment and Health (GB)
- Imperial College Healthcare NHS Trust (GB)
- Corresponding author
- Lehne, Benjamin
- Chambers, John C
- ORCID
- Venue
- Genome biology
- Published
- 2015-02-15
- Volume
- 16
- Issue
- 1
- Pages
- 37-37
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC4365767
- OpenAlex
- W4297674379
- Cited by
- 380
- References
- 31
- Citations by year
- 2026: 22 · 2025: 40 · 2024: 42 · 2023: 43 · 2022: 43 · 2021: 54 · 2020: 43 · 2019: 36 · 2018: 26 · 2017: 16 · 2016: 12 · 2015: 2
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Update notices
- correction (2016-04-21)
- Open access
- gold
- doi.org
- Locations
- Genome biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Funders
- Wellcome Trust (10371, 084723/Z/08/Z, 090532, 090532/Z/09/Z, 090532/Z/09/)
- National Institute for Health Research Health Protection Research Unit
- National Institute for Health and Care Research (NF-SI-0611-10136, RP-PG-0407-10371)
- British Heart Foundation (090532/Z/09/Z, SP/04/002)
- Imperial College London
- Imperial College Healthcare NHS Trust
- European Commission (279143)
- MRC-PHE Centre for Environment and Health
- Medical Research Council (G0900747 91070, Hub grant G0900747 91070, MR/L01341X/1, MR/K002414/1, G0601966, G0700931)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Keywords
- DNA methylation, epigenome-wide association study, data quality control, data normalization, batch effect correction, permutation tests, null hypothesis, methylation quantitative trait loci, data analysis pipeline
- MeSH terms
- Humans, Software, Genome, Human, CpG Islands, DNA Methylation, Oligonucleotide Array Sequence Analysis, Quantitative Trait Loci, Epigenesis, Genetic, Genome-Wide Association Study, Epigenomics
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