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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, Immaculata De Vivo, View ORCID ProfileAndrew J. Simpkin, Kate Tilling, Pamela D. Waterman, Nancy Krieger, Matthew Suderman, Caroline Relton
doi: https://doi.org/10.1101/2021.12.22.473840
Sarah Holmes Watkins
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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  • For correspondence: s.h.watkins@bristol.ac.uk
Karen Ho
2Bristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Christian Testa
3Department of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA 02115, USA
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Louise Falk
4Integrative Cancer Epidemiology Programme (ICEP), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Patrice Soule
5Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Linda V. Nguyen
6Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
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Sophie FitzGibbon
2Bristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Catherine Slack
2Bristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Jarvis T. Chen
3Department of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA 02115, USA
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George Davey Smith
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Immaculata De Vivo
5Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
6Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
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Andrew J. Simpkin
7School of Medicine, National University of Ireland Galway, Galway, Ireland
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  • ORCID record for Andrew J. Simpkin
Kate Tilling
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Pamela D. Waterman
3Department of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA 02115, USA
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Nancy Krieger
3Department of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Harvard University, Boston, MA 02115, USA
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Matthew Suderman
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Caroline Relton
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Abstract

Background 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 utilising precious or limited DNA sources.

Materials and methods We use 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.

Results Data are less reliable and more noisy as DNA input decreases to 40ng, with clear reductions in data quality; however samples with a total input as low as 40ng pass standard quality control tests, and we observe little evidence that low input DNA obscures the associations between DNAm and two phenotypes, age and smoking status.

Conclusions DNA input as low as 40ng can be used with the Illumina Infinium MethylationEPIC BeadChip, provided quality checks and sensitivity analyses are undertaken.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Funding, This work was funded by the National Institutes of Health/National Institute on Minority Health and Health Disparities (NIMHD) (5R01MD014304). The prior MBMS study was funded by the National Institutes of Health/National Institute on Aging (1 R01 AG027122). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

  • Conflict of interest, The authors declare no conflicts of interest

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted December 23, 2021.
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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, Immaculata De Vivo, Andrew J. Simpkin, Kate Tilling, Pamela D. Waterman, Nancy Krieger, Matthew Suderman, Caroline Relton
bioRxiv 2021.12.22.473840; doi: https://doi.org/10.1101/2021.12.22.473840
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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, Immaculata De Vivo, Andrew J. Simpkin, Kate Tilling, Pamela D. Waterman, Nancy Krieger, Matthew Suderman, Caroline Relton
bioRxiv 2021.12.22.473840; doi: https://doi.org/10.1101/2021.12.22.473840

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