Adrián I. Campos

This paper introduces a summary-statistics-based method to detect and quantify ascertainment bias in genetic studies using polygenic scores across multiple biobanks.

This study identifies 207 height-associated genes using rare protein-altering variants from over 1.4 million individuals, showing large effect sizes and overlap with Mendelian height syndromes.

This study quantifies cancer risk and penetrance in CHEK2 heterozygotes using genomic data from two large biobanks, finding increased risks for several cancers and younger age of onset.

This study identifies 118 new genetic loci associated with Alzheimer's disease across diverse ancestries and discovers 48 novel risk loci, including those enriched in neuronal cell types.

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

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 study identifies genetic loci associated with suicide attempts and shows shared genetic architecture with psychiatric disorders and non-psychiatric risk factors.

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.

The paper identifies novel genetic risk loci for depression and anxiety using factor analysis and genomic SEM, revealing shared and trait-specific genetic influences.

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

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.

The paper estimates the total number of genetic interactions in prokaryotic GRNs by analyzing structural properties and resolving controversies about network randomness and completeness.