Protocol for a scoping review of multi-omic analysis for rare diseases

被引:2
|
作者
Kerr, Katie [1 ]
McAneney, Helen [1 ]
McKnight, Amy Jayne [1 ]
机构
[1] Queens Univ Belfast, Ctr Publ Hlth, Belfast, Antrim, North Ireland
来源
BMJ OPEN | 2019年 / 9卷 / 05期
基金
英国医学研究理事会;
关键词
biomarker; epigenomics; multi-omics; rare disease; transcriptomics;
D O I
10.1136/bmjopen-2018-026278
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction The development of next generation sequencing technology has enabled cost-efficient, large scale, multiple 'omic' analysis, including epigenomic, genomic, metabolomic, phenomic, proteomic and transcriptomic research. These integrated approaches hold significant promise for rare disease research, with the potential to aid biomarker discovery, improve our understanding of disease pathogenesis and identify novel therapeutic targets. In this paper we outline a systematic approach for a scoping review designed to evaluate what primary research has been performed to date on multi-omics and rare disease. Methods and analysis This protocol was designed using the Joanna Briggs Institute methodology for scoping reviews. Databases to be searched will include: MEDLINE, EMBASE, PubMed, Web of Science, Scopus and Google Scholar for primary studies relevant to the key terms 'multi-omics' and 'rare disease', published prior to 30th December 2018. Grey literature databases GreyLit and OpenGrey will also be searched, as well as reverse citation screening of relevant articles and forward citation searching using Web of Science Cited Reference Search Tool. Data extraction will be performed using customised forms and a narrative synthesis of the results will be presented. Ethics and dissemination As a secondary analysis study with no primary data generated, this scoping review does not require ethical approval. We anticipate this review will highlight a gap in rare disease research and provide direction for novel research. The completed review will be submitted for publication in peer-reviewed journals and presented at relevant conferences discussing rare disease research and/or molecular strategies.
引用
收藏
页数:3
相关论文
共 50 条
  • [1] A scoping review and proposed workflow for multi-omic rare disease research
    Kerr, Katie
    McAneney, Helen
    Smyth, Laura J.
    Bailie, Caitlin
    McKee, Shane
    McKnight, Amy Jayne
    [J]. ORPHANET JOURNAL OF RARE DISEASES, 2020, 15 (01)
  • [2] A scoping review and proposed workflow for multi-omic rare disease research
    Katie Kerr
    Helen McAneney
    Laura J. Smyth
    Caitlin Bailie
    Shane McKee
    Amy Jayne McKnight
    [J]. Orphanet Journal of Rare Diseases, 15
  • [3] INTEGRATED MULTI-OMIC ANALYSIS OF A RARE INBORN ERROR OF METABOLISM
    Forny, Patrick
    Bonilla, Ximena
    Lamparter, David
    Shao, Wenguang
    Plessl, Tanja
    Frei, Caroline
    Bingisser, Anna
    Goetze, Sandra
    Van Drogen, Audrey
    Harshman, Keith
    Pedrioli, Patrick
    Traversi, Florian
    Xenarios, Ioannis
    Aebersold, Ruedi
    Zamboni, Nicola
    Ratsch, Gunnar
    Dermitzakis, Emmanouil
    Wollscheid, Bernd
    Froese, D. Sean
    Baumgartner, Matthias R.
    [J]. MOLECULAR GENETICS AND METABOLISM, 2022, 135 (04) : 271 - 272
  • [4] The MPLEx Protocol for Multi-omic Analyses of Soil Samples
    Nicora, Carrie D.
    Burnum-Johnson, Kristin E.
    Nakayasu, Ernesto S.
    Casey, Cameron P.
    White, Richard A., II
    Chowdhury, Taniya Roy
    Kyle, Jennifer E.
    Kim, Young-Mo
    Smith, Richard D.
    Metz, Thomas O.
    Jansson, Janet K.
    Baker, Erin S.
    [J]. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2018, (135):
  • [5] Multi-omic data analysis using Galaxy
    Boekel, Jorrit
    Chilton, John M.
    Cooke, Ira R.
    Horvatovich, Peter L.
    Jagtap, Pratik D.
    Kall, Lukas
    Lehtio, Janne
    Lukasse, Pieter
    Moerland, Perry D.
    Griffin, Timothy J.
    [J]. NATURE BIOTECHNOLOGY, 2015, 33 (02) : 137 - 139
  • [6] Multi-omic data analysis using Galaxy
    Jorrit Boekel
    John M Chilton
    Ira R Cooke
    Peter L Horvatovich
    Pratik D Jagtap
    Lukas Käll
    Janne Lehtiö
    Pieter Lukasse
    Perry D Moerland
    Timothy J Griffin
    [J]. Nature Biotechnology, 2015, 33 : 137 - 139
  • [7] Role of pharmacists in the context of rare diseases: a scoping review protocol
    Cunico, Cassia
    Leite, Silvana Nair
    [J]. BMJ OPEN, 2023, 13 (11):
  • [8] Multi-omic Analysis Enhances Prediction Of Infantile Wheezing
    Beheshti, Ramin
    Hicks, Steven
    Frangos, Patrick
    [J]. JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2023, 151 (02) : AB210 - AB210
  • [9] Identification of inflammatory dendritic cells by a multi-omic analysis
    Dutertre, Charles-Antoine
    Ginhoux, Florent
    [J]. M S-MEDECINE SCIENCES, 2020, 36 (11): : 976 - 979
  • [10] MoNET: an R package for multi-omic network analysis
    Li, Jin
    Chen, Feng
    Liang, Hong
    Yan, Jingwen
    [J]. BIOINFORMATICS, 2022, 38 (04) : 1165 - 1167