Literature DB >> 31250700

Comparison of Illumina 450K and EPIC arrays in placental DNA methylation.

Nora Fernandez-Jimenez1, Catherine Allard2, Luigi Bouchard2,3,4, Patrice Perron2,5, Mariona Bustamante6,7,8, Jose Ramon Bilbao1,9, Marie-France Hivert2,10,11.   

Abstract

Illumina HumanMethylation450 BeadChip (450K) has been commonly used to investigate DNA methylation in human tissues. Recently, it has been replaced by Illumina HumanMethylationEPIC BeadChip (EPIC) covering over 850,000 CpGs distributed genome-wide. Many consortia have now datasets coming from both arrays and aspire to analyze the two together. The placenta shows a high number of intermediate methylation levels and is often investigated for obstetric/birth outcomes, and potentially for long-term programming in offspring. We performed a systematic comparison between the two arrays using 108 duplicate placental samples from Gen3G birth cohort. We find that placenta shows a high per-sample correlation between the arrays, and higher median correlations at individual CpGs than those reported for blood. We identify 26,340 probes with absolute difference in per cent methylation >10%. We conclude that EPIC and 450K placental data can be combined, and we provide two lists of CpGs that should be excluded to avoid misleading results.

Entities:  

Keywords:  DNA methylation; EPIC; Illumina 450K; placenta

Mesh:

Year:  2019        PMID: 31250700      PMCID: PMC6791701          DOI: 10.1080/15592294.2019.1634975

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  16 in total

1.  Adjusting batch effects in microarray expression data using empirical Bayes methods.

Authors:  W Evan Johnson; Cheng Li; Ariel Rabinovic
Journal:  Biostatistics       Date:  2006-04-21       Impact factor: 5.899

2.  Considerations for normalization of DNA methylation data by Illumina 450K BeadChip assay in population studies.

Authors:  Paul Yousefi; Karen Huen; Raul Aguilar Schall; Anna Decker; Emon Elboudwarej; Hong Quach; Lisa Barcellos; Nina Holland
Journal:  Epigenetics       Date:  2013-08-19       Impact factor: 4.528

3.  Epigenomics: Roadmap for regulation.

Authors:  Casey E Romanoski; Christopher K Glass; Hendrik G Stunnenberg; Laurence Wilson; Genevieve Almouzni
Journal:  Nature       Date:  2015-02-19       Impact factor: 49.962

4.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

Authors:  Martin J Aryee; Andrew E Jaffe; Hector Corrada-Bravo; Christine Ladd-Acosta; Andrew P Feinberg; Kasper D Hansen; Rafael A Irizarry
Journal:  Bioinformatics       Date:  2014-01-28       Impact factor: 6.937

5.  ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip.

Authors:  Zongli Xu; Liang Niu; Leping Li; Jack A Taylor
Journal:  Nucleic Acids Res       Date:  2015-09-17       Impact factor: 16.971

Review 6.  Considerations when processing and interpreting genomics data of the placenta.

Authors:  Chaini Konwar; Giulia Del Gobbo; Victor Yuan; Wendy P Robinson
Journal:  Placenta       Date:  2019-01-07       Impact factor: 3.481

7.  Placental DNA Methylation Adaptation to Maternal Glycemic Response in Pregnancy.

Authors:  Andres Cardenas; Valerie Gagné-Ouellet; Catherine Allard; Diane Brisson; Patrice Perron; Luigi Bouchard; Marie-France Hivert
Journal:  Diabetes       Date:  2018-05-11       Impact factor: 9.461

8.  A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.

Authors:  Andrew E Teschendorff; Francesco Marabita; Matthias Lechner; Thomas Bartlett; Jesper Tegner; David Gomez-Cabrero; Stephan Beck
Journal:  Bioinformatics       Date:  2012-11-21       Impact factor: 6.937

9.  DCGL v2.0: an R package for unveiling differential regulation from differential co-expression.

Authors:  Jing Yang; Hui Yu; Bao-Hong Liu; Zhongming Zhao; Lei Liu; Liang-Xiao Ma; Yi-Xue Li; Yuan-Yuan Li
Journal:  PLoS One       Date:  2013-11-20       Impact factor: 3.240

10.  Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling.

Authors:  Ruth Pidsley; Elena Zotenko; Timothy J Peters; Mitchell G Lawrence; Gail P Risbridger; Peter Molloy; Susan Van Djik; Beverly Muhlhausler; Clare Stirzaker; Susan J Clark
Journal:  Genome Biol       Date:  2016-10-07       Impact factor: 13.583

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  4 in total

1.  Low reliability of DNA methylation across Illumina Infinium platforms in cord blood: implications for replication studies and meta-analyses of prenatal exposures.

Authors:  Emilie Willoch Olstad; Hedvig Marie Egeland Nordeng; Geir Kjetil Sandve; Robert Lyle; Kristina Gervin
Journal:  Clin Epigenetics       Date:  2022-06-28       Impact factor: 7.259

2.  An effective processing pipeline for harmonizing DNA methylation data from Illumina's 450K and EPIC platforms for epidemiological studies.

Authors:  Lauren A Vanderlinden; Randi K Johnson; Patrick M Carry; Fran Dong; Dawn L DeMeo; Ivana V Yang; Jill M Norris; Katerina Kechris
Journal:  BMC Res Notes       Date:  2021-09-08

3.  AgeGuess, a Methylomic Prediction Model for Human Ages.

Authors:  Xiaoqian Gao; Shuai Liu; Haoqiu Song; Xin Feng; Meiyu Duan; Lan Huang; Fengfeng Zhou
Journal:  Front Bioeng Biotechnol       Date:  2020-03-10

4.  Correlation of Infinium HumanMethylation450K and MethylationEPIC BeadChip arrays in cartilage.

Authors:  Kathleen Cheung; Marjolein J Burgers; David A Young; Simon Cockell; Louise N Reynard
Journal:  Epigenetics       Date:  2019-12-13       Impact factor: 4.528

  4 in total

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