Material from PhD thesis: Chapter 6 PRS Supplementary Files

http://rdp.utas.edu.au/metadata/b7d4672a-0929-46e4-9aa2-d651ebc6561f

Creators:
Gayathry Krishnamurthy (0000-0002-0819-9398)
Co-Creators:
Phillip Melton (0000-0003-4026-2964)

Menzies Institute for Medical Research

PRS Polygenic risk score Genetics Cardiovascular disease Hypertensive disorders of pregnancy

This dataset contains supplemental material as part of a PhD thesis: Identification of Shared Genetic Risk Loci between Hypertensive Disorders of Pregnancy and Later-Life Cardiovascular Disease. The material supports Chapter 6: Genetic Dissection of Polygenic Risk Scores (PRS) for Cardiovascular Disease (CVD) Following Hypertensive Disorders of Pregnancy (HDP), which focuses on analysing existing PRS related to CVD from the PGS Catalog and examining whether they differ significantly between HDP-CAD (coronary artery disease) groups. It includes details of 1,022 CVD PRS from the PGS Catalog as of 3 January 2024, along with a subset of female-specific PRS. The dataset contains results comparing the number of PRS that matched with at least 75% of genetic variants in the BHS population. It also includes PRS that remained significant after bootstrapping 95% confidence intervals from Models 1 and 2 following ridge regression. ANOVA results assess PRS differences across HDP-CAD categories before and after adjustment for multiple testing, while logistic regression summary statistics are provided for models with and without HDP, analysing their association with CAD. These analyses contribute to understanding the genetic risk factors linking HDP and later-life CVD, emphasising PRS stratification, sex-specific effects, and statistical significance.

2022 – 2025

Existing CVD PRS from the PGS Catalog were used to calculate PRS in the 1994-95 Busselton Health Study (BHS) population using the PGS calculator (pgsc_calc). Ridge regression and 95% bootstrapping were performed to identify significant independent PRS from Model 1 (with HDP) and Model 2 (without HDP). The obtained PRS were then tested for significant differences between HDP-CAD categories using ANOVA and adjusted for multiple testing. In addition, these PRS were individually assessed for their association with CAD using logistic regression.

310207 Statistical and quantitative genetics 310505 Gene expression (incl. microarray and other genome-wide approaches) 310506 Gene mapping 310509 Genomics
200509 Women's and maternal health 280102 Expanding knowledge in the biological sciences 280103 Expanding knowledge in the biomedical and clinical sciences

Data Access

  1. Chapter 6 PRS Supplementary Files.xlsx ({{107835 | bytes}})


Krishnamurthy, G, Melton, P (2025) Data from: Material from PhD thesis: Chapter 6 PRS Supplementary Files. https://dx.doi.org/10.25959/5f60-5866
10.25959/5f60-5866 (DataCite reference)
17-Mar-2025