Evidence map›Paper›PMID 24241353›Full record

ArticleEpigenetics2014

A systematic assessment of normalization approaches for the Infinium 450K methylation platform.

Michael C Wu, Bonnie R Joubert, Pei-fen Kuan, Siri E Håberg, Wenche Nystad, Shyamal D Peddada, Stephanie J London

Abstract read
In one paragraph

Article in Epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michael C WuDepartment of Biostatistics; The University of North Carolina at Chapel Hill; Chapel Hill, NC USA; Public Health Sciences Division; Fred Hutchinson Cancer Research Center; Seattle, WA USA.
Bonnie R JoubertDivision of Intramural Research; National Institute of Environmental Health Sciences; National Institutes of Health; Research Triangle Park, NC USA.
Pei-fen KuanDepartment of Biostatistics; The University of North Carolina at Chapel Hill; Chapel Hill, NC USA.
Siri E HåbergNorwegian Institute of Public Health; Oslo, Norway.
Wenche NystadNorwegian Institute of Public Health; Oslo, Norway.
Shyamal D PeddadaDivision of Intramural Research; National Institute of Environmental Health Sciences; National Institutes of Health; Research Triangle Park, NC USA.
Stephanie J LondonDivision of Intramural Research; National Institute of Environmental Health Sciences; National Institutes of Health; Research Triangle Park, NC USA.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
Genetic And Environmental Factors In Childhood Respiratory HealthZIAES049019 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LONDON, STEPHANIE · 2009 to 2025
$6.8M
Statistical Methods with Applications to Toxicology and Microarray dataZIAES101744 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 2009 to 2017
$4.2M
Prenatal Smoking, Maternal & Fetal Genetic Variation & Risk of PreeclampsiaR01HD058008 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ENGEL, STEPHANIE · 2008 to 2012
$2.7M
Collaborative research in environmental health sciencesZIAES103066 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 2012 to 2017
$732k
GENETIC AND ENVIRONMENTAL FACTORS IN CHILDHOOD RESPIRATORY HEALTHZ01ES049019 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LONDON, STEPHANIE JOAN · 1996 to 2008
$537k
Intramural NIH HHS Z01 ES049019NICHD NIH HHS R01 HD058008NICHD NIH HHS R01HD058008NIEHS NIH HHS ES-75558NIEHS NIH HHS N01 ES075558NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30ES010126NIEHS NIH HHS Z01-ES-49019NINDS NIH HHS 1 U01 NS 047537-01NINDS NIH HHS U01 NS047537
6 · The paper itself

Abstract

The Illumina Infinium HumanMethylation450 BeadChip has emerged as one of the most popular platforms for genome wide profiling of DNA methylation. While the technology is wide-spread, systematic technical biases are believed to be present in the data. For example, this array incorporates two different chemical assays, i.e., Type I and Type II probes, which exhibit different technical characteristics and potentially complicate the computational and statistical analysis. Several normalization methods have been introduced recently to adjust for possible biases. However, there is considerable debate within the field on which normalization procedure should be used and indeed whether normalization is even necessary. Yet despite the importance of the question, there has been little comprehensive comparison of normalization methods. We sought to systematically compare several popular normalization approaches using the Norwegian Mother and Child Cohort Study (MoBa) methylation data set and the technical replicates analyzed with it as a case study. We assessed both the reproducibility between technical replicates following normalization and the effect of normalization on association analysis. Results indicate that the raw data are already highly reproducible, some normalization approaches can slightly improve reproducibility, but other normalization approaches may introduce more variability into the data. Results also suggest that differences in association analysis after applying different normalizations are not large when the signal is strong, but when the signal is more modest, different normalizations can yield very different numbers of findings that meet a weaker statistical significance threshold. Overall, our work provides useful, objective assessment of the effectiveness of key normalization methods.

Indexed as

DNA MethylationAdultCpG IslandsHumansInfant, NewbornOligonucleotide Array Sequence AnalysisReproducibility of ResultsSoftwareassociation testingcotinine exposuregenome wide methylation profilingnormalizationreproducibility

Identifiers

PMID24241353
PMCPMC3962542

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.