Cargando…
Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective
It is not controversial that study design considerations and challenges must be addressed when investigating the linkage between single omic measurements and human phenotypes. It follows that such considerations are just as critical, if not more so, in the context of multi-omic studies. In this revi...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630728/ https://www.ncbi.nlm.nih.gov/pubmed/31216675 http://dx.doi.org/10.3390/metabo9060117 |
_version_ | 1783435370762862592 |
---|---|
author | Chu, Su H. Huang, Mengna Kelly, Rachel S. Benedetti, Elisa Siddiqui, Jalal K. Zeleznik, Oana A. Pereira, Alexandre Herrington, David Wheelock, Craig E. Krumsiek, Jan McGeachie, Michael Moore, Steven C. Kraft, Peter Mathé, Ewy Lasky-Su, Jessica |
author_facet | Chu, Su H. Huang, Mengna Kelly, Rachel S. Benedetti, Elisa Siddiqui, Jalal K. Zeleznik, Oana A. Pereira, Alexandre Herrington, David Wheelock, Craig E. Krumsiek, Jan McGeachie, Michael Moore, Steven C. Kraft, Peter Mathé, Ewy Lasky-Su, Jessica |
author_sort | Chu, Su H. |
collection | PubMed |
description | It is not controversial that study design considerations and challenges must be addressed when investigating the linkage between single omic measurements and human phenotypes. It follows that such considerations are just as critical, if not more so, in the context of multi-omic studies. In this review, we discuss (1) epidemiologic principles of study design, including selection of biospecimen source(s) and the implications of the timing of sample collection, in the context of a multi-omic investigation, and (2) the strengths and limitations of various techniques of data integration across multi-omic data types that may arise in population-based studies utilizing metabolomic data. |
format | Online Article Text |
id | pubmed-6630728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66307282019-08-19 Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective Chu, Su H. Huang, Mengna Kelly, Rachel S. Benedetti, Elisa Siddiqui, Jalal K. Zeleznik, Oana A. Pereira, Alexandre Herrington, David Wheelock, Craig E. Krumsiek, Jan McGeachie, Michael Moore, Steven C. Kraft, Peter Mathé, Ewy Lasky-Su, Jessica Metabolites Review It is not controversial that study design considerations and challenges must be addressed when investigating the linkage between single omic measurements and human phenotypes. It follows that such considerations are just as critical, if not more so, in the context of multi-omic studies. In this review, we discuss (1) epidemiologic principles of study design, including selection of biospecimen source(s) and the implications of the timing of sample collection, in the context of a multi-omic investigation, and (2) the strengths and limitations of various techniques of data integration across multi-omic data types that may arise in population-based studies utilizing metabolomic data. MDPI 2019-06-18 /pmc/articles/PMC6630728/ /pubmed/31216675 http://dx.doi.org/10.3390/metabo9060117 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Chu, Su H. Huang, Mengna Kelly, Rachel S. Benedetti, Elisa Siddiqui, Jalal K. Zeleznik, Oana A. Pereira, Alexandre Herrington, David Wheelock, Craig E. Krumsiek, Jan McGeachie, Michael Moore, Steven C. Kraft, Peter Mathé, Ewy Lasky-Su, Jessica Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective |
title | Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective |
title_full | Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective |
title_fullStr | Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective |
title_full_unstemmed | Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective |
title_short | Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective |
title_sort | integration of metabolomic and other omics data in population-based study designs: an epidemiological perspective |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630728/ https://www.ncbi.nlm.nih.gov/pubmed/31216675 http://dx.doi.org/10.3390/metabo9060117 |
work_keys_str_mv | AT chusuh integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT huangmengna integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT kellyrachels integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT benedettielisa integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT siddiquijalalk integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT zeleznikoanaa integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT pereiraalexandre integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT herringtondavid integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT wheelockcraige integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT krumsiekjan integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT mcgeachiemichael integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT moorestevenc integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT kraftpeter integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT matheewy integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT laskysujessica integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective AT integrationofmetabolomicandotheromicsdatainpopulationbasedstudydesignsanepidemiologicalperspective |