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93137 Interrogating cardio-protective MTSS1 variants in human populations

ABSTRACT IMPACT: It is our hope that a better understanding of the relationship between genetic variants that influence heart failure precursor traits will not only inform clinical care, but enable better assessment of inherited risk and will identify new biological targets for drug development. OBJ...

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Autores principales: Burke, Megan F., Morley, Michael, Yang, Yifan, Drivas, Theodore, Li, Mingyao, Ritchie, Mingyao, Cappola, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827986/
http://dx.doi.org/10.1017/cts.2021.718
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author Burke, Megan F.
Morley, Michael
Yang, Yifan
Drivas, Theodore
Li, Mingyao
Ritchie, Mingyao
Cappola, Thomas
author_facet Burke, Megan F.
Morley, Michael
Yang, Yifan
Drivas, Theodore
Li, Mingyao
Ritchie, Mingyao
Cappola, Thomas
author_sort Burke, Megan F.
collection PubMed
description ABSTRACT IMPACT: It is our hope that a better understanding of the relationship between genetic variants that influence heart failure precursor traits will not only inform clinical care, but enable better assessment of inherited risk and will identify new biological targets for drug development. OBJECTIVES/GOALS: In this project, using a large-scale human genomic dataset with extensive phenotype data available, we intend to interrogate the known MTSS1 variants that have been associated with heart failure (HF) in previous GWAS studies in order to understand the directionality and mechanisms of their effects. METHODS/STUDY POPULATION: Data was obtained from the UK Biobank, a large prospective cohort of ˜500,000 patients across the United Kingdom with extensive phenotype data, including ˜50,000 patients with cardiac MRI and ˜200,000 with whole exome sequencing. We test for associations between genetic variants at the MTSS1 locus and HF precursor traits using logistic regression or linear regression, adjusting for age, gender, and principal components (PCs) of ancestry. For rare variant analyses we ‘bin’ rare variants (MAF < 0.01) using the software tool BioBin to aggregate low frequency genetic variants into single genetic units. RESULTS/ANTICIPATED RESULTS: Preliminary data have shown that variants in the known MTSS1 enhancer region which reduce MTSS1 expression are associated with smaller, more contractile hearts. We anticipate that common variants known to reduce enhancer activity will attenuate heart failure precursor traits, will be associated with a reduced risk clinical heart failure, and will favorably impact clinical outcomes once HF is established. We also anticipate that rare exonic variants predicted to impair MTSS1 function will attenuate heart failure precursor traits. DISCUSSION/SIGNIFICANCE OF FINDINGS: Through this work, we intend to take advantage of multiple novel approaches to better understand a complex disease process, identify a new potential therapeutic target (namely one that targets cardiac function), and to determine which patient subgroups will benefit from this our therapeutic interventions and why.
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spelling pubmed-88279862022-02-28 93137 Interrogating cardio-protective MTSS1 variants in human populations Burke, Megan F. Morley, Michael Yang, Yifan Drivas, Theodore Li, Mingyao Ritchie, Mingyao Cappola, Thomas J Clin Transl Sci Translational Science, Policy, & Health Outcomes Science ABSTRACT IMPACT: It is our hope that a better understanding of the relationship between genetic variants that influence heart failure precursor traits will not only inform clinical care, but enable better assessment of inherited risk and will identify new biological targets for drug development. OBJECTIVES/GOALS: In this project, using a large-scale human genomic dataset with extensive phenotype data available, we intend to interrogate the known MTSS1 variants that have been associated with heart failure (HF) in previous GWAS studies in order to understand the directionality and mechanisms of their effects. METHODS/STUDY POPULATION: Data was obtained from the UK Biobank, a large prospective cohort of ˜500,000 patients across the United Kingdom with extensive phenotype data, including ˜50,000 patients with cardiac MRI and ˜200,000 with whole exome sequencing. We test for associations between genetic variants at the MTSS1 locus and HF precursor traits using logistic regression or linear regression, adjusting for age, gender, and principal components (PCs) of ancestry. For rare variant analyses we ‘bin’ rare variants (MAF < 0.01) using the software tool BioBin to aggregate low frequency genetic variants into single genetic units. RESULTS/ANTICIPATED RESULTS: Preliminary data have shown that variants in the known MTSS1 enhancer region which reduce MTSS1 expression are associated with smaller, more contractile hearts. We anticipate that common variants known to reduce enhancer activity will attenuate heart failure precursor traits, will be associated with a reduced risk clinical heart failure, and will favorably impact clinical outcomes once HF is established. We also anticipate that rare exonic variants predicted to impair MTSS1 function will attenuate heart failure precursor traits. DISCUSSION/SIGNIFICANCE OF FINDINGS: Through this work, we intend to take advantage of multiple novel approaches to better understand a complex disease process, identify a new potential therapeutic target (namely one that targets cardiac function), and to determine which patient subgroups will benefit from this our therapeutic interventions and why. Cambridge University Press 2021-03-30 /pmc/articles/PMC8827986/ http://dx.doi.org/10.1017/cts.2021.718 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Translational Science, Policy, & Health Outcomes Science
Burke, Megan F.
Morley, Michael
Yang, Yifan
Drivas, Theodore
Li, Mingyao
Ritchie, Mingyao
Cappola, Thomas
93137 Interrogating cardio-protective MTSS1 variants in human populations
title 93137 Interrogating cardio-protective MTSS1 variants in human populations
title_full 93137 Interrogating cardio-protective MTSS1 variants in human populations
title_fullStr 93137 Interrogating cardio-protective MTSS1 variants in human populations
title_full_unstemmed 93137 Interrogating cardio-protective MTSS1 variants in human populations
title_short 93137 Interrogating cardio-protective MTSS1 variants in human populations
title_sort 93137 interrogating cardio-protective mtss1 variants in human populations
topic Translational Science, Policy, & Health Outcomes Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827986/
http://dx.doi.org/10.1017/cts.2021.718
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