A Multivariate Analysis Observing the Shared Genetic Etiology of Cardiovascular and Psychological Illnesses

Tallis, Connor B.

Undergraduate Honors Thesis

A Multivariate Analysis Observing the Shared Genetic Etiology of Cardiovascular and Psychological Illnesses Public Deposited

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Citeable URL: https://scholar.colorado.edu/concern/undergraduate_honors_theses/f4752j40r

Abstract

At the forefront of current psychological research is the idea that the presence of a psychiatric disorder creates a high likelihood of being diagnosed with other psychiatric disorders, especially if the disorders are within an established domain (i.e., internalizing, substance use, etc.). This research will seek to build upon previous research on comorbidities within the psychiatric space by investigating whether psychiatric disorders also exhibit shared common genetic variant liability with non-psychiatric medical conditions. Although comorbidity between psychiatric and non-psychiatric medical conditions has been observed, the lack of proper genetic technological methods and large sample sizes result in ambiguous interpretations of risk pathways within said research. This study will aim to use cutting-edge multivariate genomic methods as well as large sample sizes from multiple large cohorts to limit the ambiguous interpretation and methodological barriers seen in previous research. A multivariable version of Linkage Disequilibrium Score Regression (LDSC) within GenomicSEM will be applied to all summary statistics in this study, which provides two significant sources of output: a genetic covariance matrix (i.e., the extent to which disorders covary at the level of common SNPs), and a sampling covariance matrix (i.e., the extent to which sample overlap exists among different summary statistics) across the included traits. This multivariate analysis uniquely permits the possibility of discovering both common and independent pathways among both psychiatric and non-psychiatric medical conditions included in this study. By discovering these pathways this study has the potential to develop a more reliable understanding of comorbidity between debilitating psychiatric and non-psychiatric medical conditions.

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