Literature DB >> 33937763

Human methylome variation across Infinium 450K data on the Gene Expression Omnibus.

Sean K Maden1, Reid F Thompson1, Kasper D Hansen2, Abhinav Nellore1.   

Abstract

While DNA methylation (DNAm) is the most-studied epigenetic mark, few recent studies probe the breadth of publicly available DNAm array samples. We collectively analyzed 35 360 Illumina Infinium HumanMethylation450K DNAm array samples published on the Gene Expression Omnibus. We learned a controlled vocabulary of sample labels by applying regular expressions to metadata and used existing models to predict various sample properties including epigenetic age. We found approximately two-thirds of samples were from blood, one-quarter were from brain and one-third were from cancer patients. About 19% of samples failed at least one of Illumina's 17 prescribed quality assessments; signal distributions across samples suggest modifying manufacturer-recommended thresholds for failure would make these assessments more informative. We further analyzed DNAm variances in seven tissues (adipose, nasal, blood, brain, buccal, sperm and liver) and characterized specific probes distinguishing them. Finally, we compiled DNAm array data and metadata, including our learned and predicted sample labels, into database files accessible via the recountmethylation R/Bioconductor companion package. Its vignettes walk the user through some analyses contained in this paper.
© The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

Entities:  

Year:  2021        PMID: 33937763      PMCID: PMC8061458          DOI: 10.1093/nargab/lqab025

Source DB:  PubMed          Journal:  NAR Genom Bioinform        ISSN: 2631-9268


  49 in total

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Authors:  Kasper Daniel Hansen; Winston Timp; Héctor Corrada Bravo; Sarven Sabunciyan; Benjamin Langmead; Oliver G McDonald; Bo Wen; Hao Wu; Yun Liu; Dinh Diep; Eirikur Briem; Kun Zhang; Rafael A Irizarry; Andrew P Feinberg
Journal:  Nat Genet       Date:  2011-06-26       Impact factor: 38.330

4.  The Encyclopedia of DNA elements (ENCODE): data portal update.

Authors:  Carrie A Davis; Benjamin C Hitz; Cricket A Sloan; Esther T Chan; Jean M Davidson; Idan Gabdank; Jason A Hilton; Kriti Jain; Ulugbek K Baymuradov; Aditi K Narayanan; Kathrina C Onate; Keenan Graham; Stuart R Miyasato; Timothy R Dreszer; J Seth Strattan; Otto Jolanki; Forrest Y Tanaka; J Michael Cherry
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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Authors:  Gemma C Sharp; Karen Ho; Amy Davies; Evie Stergiakouli; Kerry Humphries; Wendy McArdle; Jonathan Sandy; George Davey Smith; Sarah J Lewis; Caroline L Relton
Journal:  Clin Epigenetics       Date:  2017-06-08       Impact factor: 6.551

Review 6.  DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database.

Authors:  Yichun Xiong; Yanjun Wei; Yue Gu; Shumei Zhang; Jie Lyu; Bin Zhang; Chuangeng Chen; Jiang Zhu; Yihan Wang; Hongbo Liu; Yan Zhang
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7.  Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO.

Authors:  Jonathan A Heiss; Allan C Just
Journal:  Clin Epigenetics       Date:  2018-06-01       Impact factor: 6.551

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Authors:  Matthew P Salomon; Javier I J Orozco; James S Wilmott; Parvinder Hothi; Ayla O Manughian-Peter; Charles S Cobbs; Richard A Scolyer; Dave S B Hoon; Diego M Marzese
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Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  Epigenomic analysis detects aberrant super-enhancer DNA methylation in human cancer.

Authors:  Holger Heyn; Enrique Vidal; Humberto J Ferreira; Miguel Vizoso; Sergi Sayols; Antonio Gomez; Sebastian Moran; Raquel Boque-Sastre; Sonia Guil; Anna Martinez-Cardus; Charles Y Lin; Romina Royo; Jose V Sanchez-Mut; Ramon Martinez; Marta Gut; David Torrents; Modesto Orozco; Ivo Gut; Richard A Young; Manel Esteller
Journal:  Genome Biol       Date:  2016-01-26       Impact factor: 13.583

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Journal:  Epigenetics       Date:  2021-02-22       Impact factor: 4.528

2.  Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling.

Authors:  Lucas A Salas; Ze Zhang; Devin C Koestler; Rondi A Butler; Helen M Hansen; Annette M Molinaro; John K Wiencke; Karl T Kelsey; Brock C Christensen
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  2 in total

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