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Multivariate analysis of blood pressure traits in Samoans identifies UTP25 and TSNARE1

Thorpe, Henry (2022) Multivariate analysis of blood pressure traits in Samoans identifies UTP25 and TSNARE1. Master's Thesis, University of Pittsburgh. (Unpublished)

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Using statistical analysis, we can begin to understand how physical traits may be related to genetic signals. While a genome-wide association study does not give detailed information on biological functions of genes, it can provide a direction to begin looking at annotating genes for function to better understand disease. Here we found five genomic loci of interest in a multivariate analysis and a gene-based analysis of the correlated blood pressure traits systolic blood pressure, diastolic blood pressure, and hypertension. These five loci include UTP25 (p = 9.48 × 10-9), LINC1973 (2.71 × 10-7), TCAIM (6.56 × 10-7), and GLRA1 (8.47 × 10-7), and from the multivariate analysis and TSNARE1 (p = 5.30 × 10-8) from the gene-based analysis. This multivariate analysis allows signals related to all three that may be buried in any one single univariate analysis to surface as it has more power and control for more error than univariate analysis.
High blood pressure has been shown to be a major factor in both heart disease stroke, which year over year has shown to be the leading cause of death in the world. This trend is seen not only worldwide, but in the United States as well. Specifically in Samoa, hypertension diagnoses for both men and women have increased almost two-fold in the last 20 years. The relatedness of blood pressure traits and heart disease underpin the public health significance of understanding the underlying biology and working to find a way to reduce the prevalence of high blood pressure with the overall goal of reducing deaths due to heart related incidences. This study should provide a guide toward that better understanding, where follow-up studies can focus on the functions and interactions of these genes to hopefully provide a roadmap to intervention.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Thorpe, Henryhet29@pitt.eduhet0000-0003-1580-3757
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorCarlson, Jenna C.jnc35@pitt.edujnc350000-0001-5483-0833
Committee MemberBuchanich, Jeaninejeanine@pitt.edujeanine0000-0003-4658-3654
Committee MemberMinster, RLrminster@pitt.eduRMINSTER
Committee MemberYouk, Adaayouk@pitt.eduAYOUK
Date: 12 May 2022
Date Type: Publication
Defense Date: 25 April 2022
Approval Date: 12 May 2022
Submission Date: 29 April 2022
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 93
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Biostatistics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Genetics, GEMMA, MAGMA, Samoa, UTP25, TSNARE1, GWAS, Hypertension, Blood Pressure, Cardiovascular Disease, Heart Disease
Date Deposited: 12 May 2022 14:36
Last Modified: 12 May 2024 05:15


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