Álvaro Alonso

Local ancestry-aware genome-wide meta-analysis uncovers novel genetic loci for sickle cell disease nephropathy

This paper performs a local ancestry-aware GWAS on SCD cohorts to identify novel genetic loci associated with eGFR, uncovering regions linked to inflammation, ECM integrity, and other pathways relevant to SCD nephropathy.

Mosaic Loss of Y chromosome associates with lung function, emphysema and epigenetic aging

This study investigates the association between mosaic loss of Y chromosome (mLOY) and lung function, emphysema, and epigenetic aging in men across multiple cohorts.

cellSTAAR: Incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of non-coding regions

cellSTAAR integrates single-cell ATAC-seq with whole-genome sequencing to enhance power and interpretation of rare variant association tests in non-coding regions.

Genetic ancestry and population structure in the All of Us Research Program cohort

The paper analyzes genetic ancestry and population structure in the All of Us Research Program cohort, revealing diverse ancestry patterns and population structure.

A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies

The paper introduces MultiSTAAR, a statistical framework for multi-trait rare variant analysis in WGS studies, identifying new lipid trait associations in diverse populations.

Investigating gene-diet interactions impacting the association between macronutrient intake and glycemic traits

The paper identifies a gene-diet interaction modifying the association between macronutrient intake and glycemic traits, highlighting challenges in detecting such interactions due to measurement error and sample size.

A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies

The paper introduces a framework for detecting noncoding rare variant associations using whole-genome sequencing data, applying it to lipid traits in the TOPMed program.

Whole genome sequence analysis of blood lipid levels in >66,000 individuals

The paper performs whole genome sequence analysis of plasma lipid levels in 66,329 individuals, identifying new lipid-associated alleles, including rare non-coding variants.

Genetic analyses of the QT interval and its components in over 250K individuals identifies new loci and pathways affecting ventricular depolarization and repolarization

Whole Genome Sequence Association Analysis of Fasting Glucose and Fasting Insulin Levels in Diverse Cohorts from the NHLBI TOPMed Program

The paper performs whole genome sequence association analysis of fasting glucose and insulin levels in diverse cohorts, identifying 22 significant variants across 16 gene regions, including rare variants.

Monogenic and Polygenic Contributions to QTc Prolongation in the Population

This study investigates how rare and common genetic variations contribute to QT interval duration, finding that both monogenic and polygenic factors influence QTc prolongation, with polygenic risk modulating the effect of rare variants.

Recovery of trait heritability from whole genome sequence data

The paper estimates heritability for height and BMI using whole-genome sequence data and finds that rare variants contribute significantly to the missing heritability.

Whole-Genome Association Analyses of Sleep-disordered Breathing Phenotypes in the NHLBI TOPMed Program

The paper reports whole-genome association analyses of sleep-disordered breathing traits in the NHLBI TOPMed program, identifying rare and common variant associations.

Genome Sequencing Unveils a New Regulatory Landscape of Platelet Reactivity

The paper uses whole genome sequencing to identify genetic loci associated with platelet aggregation, including novel variants in RGS18, SVEP1, and PEAR1.

Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Over 400 million variants, 97% below 1% frequency, emerge from deep whole-genome sequencing of 53,831 diverse TOPMed participants; TOPMed haplotypes enable imputation down to ~0.01% frequency.

Rare Non-coding Variation Identified by Large Scale Whole Genome Sequencing Reveals Unexplained Heritability of Type 2 Diabetes: Trans-Omics for Precision Medicine (TOPMed) Program

The paper identifies rare non-coding variants from whole genome sequencing in the TOPMed program, showing they contribute significantly to type 2 diabetes heritability.

Mitochondrial DNA Copy Number and Incident Atrial Fibrillation

This study investigates the association between mitochondrial DNA copy number and risk of atrial fibrillation in three cohorts, finding an inverse relationship after adjustment for traditional risk factors.

De novo mutations across 1,465 diverse genomes reveal novel mutational insights and reductions in the Amish founder population.

The paper analyzes de novo mutations in 1,465 genomes to show similar mutation rates across ancestries but reduced rates in the Amish population, with environmental factors possibly influencing mutation rates.

Deep-coverage whole genome sequences and blood lipids among 16,324 individuals

The paper analyzes whole genome sequences from 16,324 individuals to identify genetic variants associated with blood lipid levels and develops a polygenic score for LDL-C.

Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

The paper uses whole genome sequencing to identify genetic variants associated with plasma lipoprotein(a) levels and finds high heritability and inter-ethnic differences in Lp(a) risk.

Discovering patterns of pleiotropy in genome-wide association studies

This paper introduces SAPPHO methods to detect pleiotropy in GWAS by modeling shared patterns of genetic associations, finding 16 additional and 124 novel loci in meta-analysis.

Genome-wide association meta-analysis of PR interval identifies 47 novel loci associated with atrial and atrioventricular electrical activity

This study identifies 47 novel genetic loci associated with PR interval through genome-wide association meta-analysis across multiple populations.