Caitlin E. Carey

This study uses mendelian randomization to identify proteins downstream of Lp(a) and finds they are associated with inflammation and coagulation pathways related to cardiovascular disease.

This paper constructs phenome-derived polygenic scores and evaluates how they, along with social determinants of health, influence disease risk across different populations and diseases.

This study identifies genetic overlaps between psychiatric disorders, language ability, and creativity through a GWAS of school grades.

This study shows that autism spectrum disorder risk is influenced by rare variants, polygenic risk, and sex, with sex-specific effects on genetic liability and behavioral traits.

The paper investigates the female protective effect against autism spectrum disorder by analyzing genetic risk in siblings and parents of ASD cases, finding evidence of sex differences in inherited genetic risk.

The paper identifies genetic loci associated with survey nonresponse behaviors and shows their genetic correlation with education and health.

The paper investigates genetic links between cognitive abilities and psychiatric disorders using GWAS on 335,227 individuals, finding 25 novel loci and variable genetic correlations across cognitive tasks and disorders.

This study applies an improved GWAS strategy to age-related diseases, identifying new genetic loci by using multiple reference panels, analyzing the X chromosome, and testing non-additive models.

This paper introduces MAMA, a method for multi-ancestry GWAS meta-analysis, which identifies novel genetic associations and improves power across populations.

The paper identifies sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.

The paper examines sex-differentiated genetic effects across neuropsychiatric and behavioral traits using GWAS summary statistics and finds small, polygenic sex differences with enriched neuron-related genes.

The paper uses fMRI pattern similarity analyses to examine individual and genetic differences in neural coding of working memory and perceptual category in FrontoParietal and Visual regions.

The paper investigates the genetic link between schizophrenia and substance use disorder, finding shared polygenic liability across multiple datasets.