Miguel E. Rentería

This paper identifies 116 risk loci for melanoma through GWAS, links susceptibility to immunity and Wnt signaling, and develops a PRS improving risk prediction.

The paper uses polygenic scores from GWAS to identify spatial genetic effects on brain structure across multiple scales in MRI data.

The paper maps the focal and generalized effects of common genetic variants on human brain structure using polygenic scores and MRI data.

This study examines the association between CYP2C19 and CYP2D6 metabolizer phenotypes and amitriptyline effectiveness and tolerability in a chronic pain cohort, finding no strong associations after correction for multiple testing.

This study evaluates polygenic risk scores for Parkinson's disease in admixed Latin American populations, finding that European-derived PRS outperform ancestry-matched but underpowered datasets.

This study examines genetic and environmental factors influencing mental health disorders in Mexican youth, finding that genetic liabilities and adversity interact to predict internalizing and externalizing traits.

This study identifies genetic associations between lysosomal genes and Parkinson's disease risk across diverse populations using GWAS and whole genome sequencing data.

This study compares polygenic risk scores for Parkinson's disease across seven ancestries, finding varying predictive accuracy and highlighting the need for ancestry-specific models.

This study identifies a shared genetic architecture between Parkinson's disease and sleep-related traits, implicating the MAPT locus in both conditions through common biological pathways.

This study shows that CD8+ T cells prevent reactivation of latent Mtb infection after immunosuppression, while B cells are not required for this protection.

This study identifies two novel genomic loci associated with antidepressant non-response and suggests potential drugs for further validation.

The paper uses pooled CRISPR screens to identify breast cancer risk genes affecting T cell-mediated killing, finding 33 candidates and showing their impact on immune response and patient outcomes.

This paper conducts a multi-ancestry genome-wide meta-analysis of Parkinson's disease, identifying 78 independent loci and 23 genes associated with PD risk.

The paper outlines the protocol for integrating genetic and clinical data from a global cohort of over 150,000 participants to study the genetic causes of sporadic Parkinson's disease.

This study estimates the genetic contribution to astigmatism and myopia in the Mexican population using twin data and finds high heritability and genetic correlations.

This study identifies 14 traits with potential causal genetic effects on stroke risk using GWAS and causal inference methods, highlighting shared genetic architectures and biological pathways.

This study identifies 49 genetic loci associated with sleep apnoea risk using multi-trait GWAS, with 29 replicated in a large cohort, and finds genetic correlations with several complex traits.

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

This paper conducts a multi-ancestry GWAS meta-analysis of suicide attempt, identifying 12 genome-wide significant loci and finding shared genetic risks with ADHD, smoking, and risk tolerance.

The paper examines factors influencing consent to prescription record linkage in a depression genetics study, finding phenotypic and genetic associations with participation rates.

This paper develops a transcriptome-based polygenic risk score (T-PRS) linking depression-related cortical gene expression changes to brain morphology and symptom severity in MDD.

This study uses GWAS summary data to identify 110 traits with significant causal associations with obesity, revealing its broad impact on cardiovascular, anthropometric, and psychiatric conditions.

This study identifies genetic correlations and causal associations between circadian preference and white matter microstructure using GWAS and DTI data.

The paper develops an automated pipeline using the latent causal variable approach to infer phenome-wide causal relationships, applying it to dental caries and periodontitis to show they are downstream consequences of other traits.

This study identifies genetic and environmental risk factors for chronic pain using GWAS and Mendelian randomization, finding associations with depression, anxiety, smoking, and BMI.

This study identifies 42 genetic loci associated with snoring using UK Biobank data and finds that body fat mass influences snoring through Mendelian randomisation.

This paper conducts a GWAS on suicide attempt across psychiatric disorders, identifying genetic loci and showing polygenic risk for major depression predicts suicide attempt in multiple disorders.

The paper identifies 25 genetic loci associated with subcortical brain structure volumes in over 40,000 individuals, revealing novel biology and potential drug targets.