Aldo Córdova‐Palomera

The paper introduces epiTree, a pipeline using tree-based models to detect higher-order epistatic interactions in genomic data, validated on UK Biobank data for red hair and MS prediction.

This study identifies a novel genetic locus at 18q12.1 associated with postpartum depression using genome-wide association analysis in UK Biobank data.

The paper identifies genetic loci associated with variability in brain volumes and thickness, showing they are distinct from loci affecting mean volumes.

The paper investigates the association between a 4p16 locus and congenital heart disease in adult survivors using UK Biobank data, finding similar effect sizes to prior studies but limited clinical significance.

The paper estimates brain age gaps using MRI and machine learning in individuals with and without brain disorders, finding heritability and genetic overlap with common disorders.

This paper introduces IVY, a method that improves Mendelian Randomization by combining genetic variants using probabilistic models, showing better results than allele scoring at moderate sample sizes.

This study maps oxytocin pathway gene expression in the human brain and links it to brain function using fMRI, showing enrichment in specific regions and interactions with dopamine and acetylcholine systems.

This study uses machine learning to show cerebellar morphology predicts cognitive function and psychopathology in adolescents, with stronger links to prodromal psychotic symptoms.

The paper quantifies the risk of left ventricular outflow tract obstructive heart defects (LVOTO) from different NOTCH1 variants in two European cohorts, identifying significant intronic variants and loss-of-function variants as risk factors.

This study identifies 15 genome-wide significant loci associated with hippocampal subfield volumes in 21,297 individuals, revealing distinct genetic determinants for different subfields.

The paper uses diffusion tensor imaging to identify white matter abnormalities in schizophrenia and bipolar disorder, finding distinct patterns between groups and age-related changes in schizophrenia.

This paper investigates brain structural heterogeneity in schizophrenia and finds that polygenic risk is associated with thinner fronto-temporal cortices and smaller hippocampal subfields, but not with increased variability.

The paper identifies symptom-based subgroups in depression and anxiety using clustering and finds distinct static brain connectivity patterns associated with these subgroups.

The paper examines how autozygosity and schizophrenia polygenic risk scores relate to cognitive and brain development in a population cohort.

The paper identifies a brain white matter pattern linked to heritable cognitive and psychopathology factors in youth using data from the PNC sample.