Panomics: New Databases for Advancing Cardiology

Frontiers in Cardiovascular Medicine

article

Dara Vakili¹  Dina Radenkovic²  Shreya Chawla³  Deepak L. Bhatt⁴ 

[1] Imperial College School of Medicine, Imperial College London;Hooke London;Faculty of Life Sciences and Medicine, King's College London;Brigham and Women's Hospital and Harvard Medical School

关键词: panomics;    systems biology;    big data;    cardiology;    database;    proteomics;    genomics;    methylomics;   

DOI  :  10.3389/fcvm.2021.587768

学科分类：地球科学(综合)

来源: Frontiers

【 摘 要 】

The multifactorial nature of cardiology makes it challenging to separate noisy signals from confounders and real markers or drivers of disease. Panomics, the combination of various omic methods, provides the deepest insights into the underlying biological mechanisms to develop tools for personalized medicine under a systems biology approach. Questions remain about current findings and anticipated developments of omics. Here, we search for omic databases, investigate the types of data they provide, and give some examples of panomic applications in health care. We identified 104 omic databases, of which 72 met the inclusion criteria: genomic and clinical measurements on a subset of the database population plus one or more omic datasets. Of those, 65 were methylomic, 59 transcriptomic, 41 proteomic, 42 metabolomic, and 22 microbiomic databases. Larger database sample sizes and longer follow-up are often better suited for panomic analyses due to statistical power calculations. They are often more complete, which is important when dealing with large biological variability. Thus, the UK BioBank rises as the most comprehensive panomic resource, at present, but certain study designs may benefit from other databases.

【 授权许可】

CC BY