Publications by authors named "D Speed"
Article Synopsis
- Dilated cardiomyopathy (DCM) is a major cause of heart failure, and this study analyzes genetic factors by examining 14,256 DCM cases and 36,203 participants from the UK Biobank for related traits.
- Researchers discovered 80 genomic risk loci and pinpointed 62 potential effector genes tied to DCM, including some linked to rare variants.
- The study uses advanced transcriptomics to explore how cellular functions contribute to DCM, showing that polygenic scores can help predict the disease in the general population and emphasize the importance of genetic testing and development of precise treatments.
The relative magnitude of additive genetic vs. residual variation for fitness traits is important in models for predicting the rate of evolution and population persistence in response to changes in the environment. In many annual plants, lifetime reproductive fitness is correlated with end-of-season plant biomass, which can vary significantly from plant to plant in the same population.
View Article and Find Full Text PDFFood insecurity and body dissatisfaction in a sample of Canadian adults.
J Health Psychol
April 2024
Food insecurity may predict poorer body image, which is associated with increased risk of mental health problems. However, minimal attention has been given to the food insecurity-body image link and to factors that may influence this link, such as assigned sex; importantly, females are more likely to experience both food insecurity and body dissatisfaction. The present study used data from the 2017 to 2018 Canadian Community Health Survey ( = 32,017) to investigate the effects of food insecurity and sex on body satisfaction via generalized ordered logistic regression.
View Article and Find Full Text PDFWe propose TetraHer, a method for estimating the liability heritability of binary phenotypes. TetraHer has five key features. First, it can be applied to data from complex pedigrees that contain multiple types of relationships.
View Article and Find Full Text PDFArticle Synopsis
- The study addresses limitations in genome-wide association studies (GWAS), such as multiple testing and ignoring variant correlations, by using a sparse Bayesian learning model specifically for bipolar disorder (BD) genetics.
- Analyzed data from 1998 BD cases and 1500 controls resulted in the identification of 13 genetic variants associated with BD, including previously highlighted ones, and some variants were linked to blood parameters.
- The findings suggest that applying Bayesian models can enhance the understanding of BD genetics even in smaller samples, indicating a need for further research on related variations.