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Does DNA Methylation Matter in FSHD?
 
 
Review
Peer-Review Record

DNA Methylation in the Diagnosis of Monogenic Diseases

by Flavia Cerrato 1, Angela Sparago 1, Francesca Ariani 2, Fulvia Brugnoletti 3,4, Luciano Calzari 5, Fabio Coppedè 6, Alessandro De Luca 7, Cristina Gervasini 8, Emiliano Giardina 9,10, Fiorella Gurrieri 3,11, Cristiana Lo Nigro 12, Giuseppe Merla 7, Monica Miozzo 13,14, Silvia Russo 5, Eugenio Sangiorgi 3,4, Silvia M Sirchia 8, Gabriella Maria Squeo 7, Silvia Tabano 13,14, Elisabetta Tabolacci 4, Isabella Torrente 7, Maurizio Genuardi 3,4, Giovanni Neri 4,15 and Andrea Riccio 1,16,*add Show full author list remove Hide full author list
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Submission received: 21 February 2020 / Revised: 13 March 2020 / Accepted: 24 March 2020 / Published: 26 March 2020
(This article belongs to the Special Issue DNA Methylation in Health and Diseases)

Round 1

Reviewer 1 Report

This review is providing informative collections about diagnosis of genetic diseases based on DNA methylation abnormalities. Its systematic and well-organized summaries give a brief introduction for the audience out of epigenetic field. There are few minor concerns for further improvements:

 

  1. The disturbed methylome of these diseases can be sorted by direct or indirect effects. The mutations/variants of DNMT related diseases result in direct abnormalities, not fully covered here, such as ICF syndrome. Others will be categized as the secondary effects.
  2. Tissue sampling for the diagnosis is missing here. Because the measurement of solid tissues, blood cell, or cell-free DNA are totally different. DNA methylation has its tissues specific pattern. Even the cell type specific pattern makes single cell methylome diagnosis will be the emerging approaches.
  3. Few typos can be found, e.g. Line40, “patters” should be “pattern”.

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

In this review article, the authors summarize the associations between aberrant DNA methylation patterns and various monogenic diseases. This would be helpful for readers to understand the potential mechanisms promoting respective diseases, in addition to pathologic nucleotide changes. Further, the suggested perspectives and challenges define the merits and limitations of DNA methylation analysis for diagnosis. This manuscript would be acceptable for publication. However, there are a couple of concerns that should be addressed before publication, as listed below.

(1)
Too many acronyms/abbreviations are used, and therefore some sentences look like cryptograms. Only important acronyms/abbreviations should be used; for instance, IG for ‘intergenic’ seems to be too much. In addition, I would recommend to add a section of acronyms/abbreviations.

(2)
The section 2.1.2. Chromatin Related Disorders;
=> Somehow, the section 2.1.2 looks low quality writing. It would be better to get some English proofreading.

(3)
Line 138-140, ‘Depending if they introduce…’;
=> The description is not clear.

(4)
Lines 140-142, ‘According to literature, 83 human…71 epigenetic machinery…[26]’;
=> The description looks different from what the reference-26 said. Please check.

Author Response

Please see the attachment

Author Response File: Author Response.docx

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