Relevance of Multi-Omics Studies in Cardiovascular Diseases
Cardiovascular diseases are the leading cause of death around the world. Despite the larger number of genes and loci identified, the precise mechanisms by which these genes influence risk of cardiovascular disease is not well understood. Recent advances in the development and optimization of high-th...
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Frontiers Media S.A.
2019-07-01
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Online Access: | https://www.frontiersin.org/article/10.3389/fcvm.2019.00091/full |
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doaj-903a65cc92a441d494031d965a8374982020-11-25T00:21:02ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2019-07-01610.3389/fcvm.2019.00091457963Relevance of Multi-Omics Studies in Cardiovascular DiseasesPaola Leon-MimilaJessica WangAdriana Huertas-VazquezCardiovascular diseases are the leading cause of death around the world. Despite the larger number of genes and loci identified, the precise mechanisms by which these genes influence risk of cardiovascular disease is not well understood. Recent advances in the development and optimization of high-throughput technologies for the generation of “omics data” have provided a deeper understanding of the processes and dynamic interactions involved in human diseases. However, the integrative analysis of “omics” data is not straightforward and represents several logistic and computational challenges. In spite of these difficulties, several studies have successfully applied integrative genomics approaches for the investigation of novel mechanisms and plasma biomarkers involved in cardiovascular diseases. In this review, we summarized recent studies aimed to understand the molecular framework of these diseases using multi-omics data from mice and humans. We discuss examples of omics studies for cardiovascular diseases focused on the integration of genomics, epigenomics, transcriptomics, and proteomics. This review also describes current gaps in the study of complex diseases using systems genetics approaches as well as potential limitations and future directions of this emerging field.https://www.frontiersin.org/article/10.3389/fcvm.2019.00091/fullmulti-omicscardiovascular diseaseheart diseasesystems biologydata integration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paola Leon-Mimila Jessica Wang Adriana Huertas-Vazquez |
spellingShingle |
Paola Leon-Mimila Jessica Wang Adriana Huertas-Vazquez Relevance of Multi-Omics Studies in Cardiovascular Diseases Frontiers in Cardiovascular Medicine multi-omics cardiovascular disease heart disease systems biology data integration |
author_facet |
Paola Leon-Mimila Jessica Wang Adriana Huertas-Vazquez |
author_sort |
Paola Leon-Mimila |
title |
Relevance of Multi-Omics Studies in Cardiovascular Diseases |
title_short |
Relevance of Multi-Omics Studies in Cardiovascular Diseases |
title_full |
Relevance of Multi-Omics Studies in Cardiovascular Diseases |
title_fullStr |
Relevance of Multi-Omics Studies in Cardiovascular Diseases |
title_full_unstemmed |
Relevance of Multi-Omics Studies in Cardiovascular Diseases |
title_sort |
relevance of multi-omics studies in cardiovascular diseases |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Cardiovascular Medicine |
issn |
2297-055X |
publishDate |
2019-07-01 |
description |
Cardiovascular diseases are the leading cause of death around the world. Despite the larger number of genes and loci identified, the precise mechanisms by which these genes influence risk of cardiovascular disease is not well understood. Recent advances in the development and optimization of high-throughput technologies for the generation of “omics data” have provided a deeper understanding of the processes and dynamic interactions involved in human diseases. However, the integrative analysis of “omics” data is not straightforward and represents several logistic and computational challenges. In spite of these difficulties, several studies have successfully applied integrative genomics approaches for the investigation of novel mechanisms and plasma biomarkers involved in cardiovascular diseases. In this review, we summarized recent studies aimed to understand the molecular framework of these diseases using multi-omics data from mice and humans. We discuss examples of omics studies for cardiovascular diseases focused on the integration of genomics, epigenomics, transcriptomics, and proteomics. This review also describes current gaps in the study of complex diseases using systems genetics approaches as well as potential limitations and future directions of this emerging field. |
topic |
multi-omics cardiovascular disease heart disease systems biology data integration |
url |
https://www.frontiersin.org/article/10.3389/fcvm.2019.00091/full |
work_keys_str_mv |
AT paolaleonmimila relevanceofmultiomicsstudiesincardiovasculardiseases AT jessicawang relevanceofmultiomicsstudiesincardiovasculardiseases AT adrianahuertasvazquez relevanceofmultiomicsstudiesincardiovasculardiseases |
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