Evidence map›Paper›PMID 36239035›Full record

ArticleEpigenetics2022

The impact of low input DNA on the reliability of DNA methylation as measured by the Illumina Infinium MethylationEPIC BeadChip.

Sarah Holmes Watkins, Karen Ho, Christian Testa, Louise Falk, Patrice Soule, Linda V Nguyen, Sophie FitzGibbon, Catherine Slack, Jarvis T Chen, George Davey Smith and 7 more

Abstract read
In one paragraph

Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  9. Epigenetic aging & embodying injustice: USmedRxiv : the preprint server for health sciences · 2023
    Article
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

17 authors.

Sarah Holmes WatkinsMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-8034-8095
Karen HoBristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Christian TestaDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA.
Louise FalkIntegrative Cancer Epidemiology Programme (ICEP), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Patrice SouleProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Linda V NguyenDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Sophie FitzGibbonBristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Catherine SlackBristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Jarvis T ChenDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA.
George Davey SmithMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Immaculata De VivoProgram in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Andrew J SimpkinSchool of Medicine, National University of Ireland Galway, Galway, Ireland.
Kate TillingMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Pamela D WatermanDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA.
Nancy KriegerDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA.
Matthew SudermanMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Caroline ReltonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Funding

Racial Discrimination and Risk of Chronic DiseaseR01AG027122 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI KRIEGER, NANCY · 2007 to 2010
$2.7M
DNA methylation & adversity: pathways from exposures to health inequitiesR01MD014304 · NIMHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI KRIEGER, NANCY, RELTON, CAROLINE LAURA · 2019 to 2022
$2.3M
Medical Research Council MC_UU_00011/1NIA NIH HHS R01 AG027122NIMHD NIH HHS R01 MD014304
6 · The paper itself

Abstract

DNA methylation (DNAm) is commonly assayed using the Illumina Infinium MethylationEPIC BeadChip, but there is currently little published evidence to define the lower limits of the amount of DNA that can be used whilst preserving data quality. Such evidence is valuable for analyses utilizing precious or limited DNA sources. We used a single pooled sample of DNA in quadruplicate at three dilutions to define replicability and noise, and an independent population dataset of 328 individuals (from a community-based study including US-born non-Hispanic Black and white persons) to assess the impact of total DNA input on the quality of data generated using the Illumina Infinium MethylationEPIC BeadChip. We found that data are less reliable and more noisy as DNA input decreases to 40ng, with clear reductions in data quality; and that low DNA input is associated with a reduction in power to detect EWAS associations, requiring larger sample sizes. We conclude that DNA input as low as 40ng can be used with the Illumina Infinium MethylationEPIC BeadChip, provided quality checks and sensitivity analyses are undertaken.

Indexed as

DNADNA MethylationCpG IslandsHumansOligonucleotide Array Sequence AnalysisReproducibility of ResultsDNADNA inputDNA methylationIllumina Infinium MethylationEPIC BeadChiplow DNAreliability

Identifiers

PMID36239035
PMCPMC9665153

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.