Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease

Douglas Arneson; Le Shu; Brandon Tsai; Rio Barrere-Cain; Christine Sun; Xia Yang

doi:10.3389/fcvm.2017.00008

Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease

Front Cardiovasc Med. 2017 Feb 27:4:8. doi: 10.3389/fcvm.2017.00008. eCollection 2017.

Authors

Douglas Arneson¹, Le Shu², Brandon Tsai³, Rio Barrere-Cain³, Christine Sun³, Xia Yang⁴

Affiliations

¹ Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, USA; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
² Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, USA; Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
³ Department of Integrative Biology and Physiology, University of California Los Angeles , Los Angeles, CA , USA.
⁴ Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, USA; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA; Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA; Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, USA.

Abstract

Elucidating the mechanisms of complex diseases such as cardiovascular disease (CVD) remains a significant challenge due to multidimensional alterations at molecular, cellular, tissue, and organ levels. To better understand CVD and offer insights into the underlying mechanisms and potential therapeutic strategies, data from multiple omics types (genomics, epigenomics, transcriptomics, metabolomics, proteomics, microbiomics) from both humans and model organisms have become available. However, individual omics data types capture only a fraction of the molecular mechanisms. To address this challenge, there have been numerous efforts to develop integrative genomics methods that can leverage multidimensional information from diverse data types to derive comprehensive molecular insights. In this review, we summarize recent methodological advances in multidimensional omics integration, exemplify their applications in cardiovascular research, and pinpoint challenges and future directions in this incipient field.

Keywords: cardiovascular disease; epigenomics; genomics; integrative genomics; metabolomics; multidimensional omics integration; proteomics; transcriptomics.

Publication types

Review

Abstract

Publication types

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