Mendelian Randomization Studies in Cardiometabolic Diseases
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Molecular Genetics and Genomics".
Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 21061
Special Issue Editors
Interests: genetic polymorphism; association analysis; molecular cardiology; molecular nephrology; pharmacogenetics; monogenic diseases
Interests: high-throughput genomics; metabolomics; cardiovascular traits; drug response
Interests: molecular mechanism of cancer formation
Special Issue Information
Dear Colleagues,
The burgeoning list of genome-wide association studies, biobanks and deeply phenotyped and genotyped population cohorts has led to advances in methods to infer causality from genomic data. The random allocation of genetic variants at conception means that their associations with clinical traits are relatively devoid of the confounding factors that can hinder causal inference in traditional epidemiological studies. Provided those genetic variants related to an exposure affect an outcome through that exposure and not a pleiotropic pathway, these genetic variants can be leveraged as instruments for exploring causal effects of the exposure on the outcome in an approach termed ‘Mendelian randomization’. This represents an innovative field aimed at obtaining robust evidence from observation data using genetics towards distinguishing causation from correlation. Cardiometabolic disease is a major driver of the global disease burden. The focus of the themed issue is the application of MR in cardiometabolic disease and articles may span MR studies of cardiometabolic phenotypes, methodological papers and reviews.
In this issue, we invite articles that highlight how developments in the field have allowed for genetic association data to be leveraged for identifying causal mechanisms in cardiometabolic disease subtypes, including mediating pathways. We welcome articles that showcase insights on drug target development, including the investigation of efficacy in population subgroups, repurposing potential and adverse effects.
Prof. Dr. Andrzej Ciechanowicz
Prof. Dr. Sandosh Padmanabhan
Prof. Dr. Marek Sanak
Dr. Dipender Gill
Guest Editors
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Keywords
- Mendelian randomization
- cardiovascular disease
- cardiometabolic disease
- hypertension
- diabetes
- obesity
- liver disease
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