Mina K. Chung

Integrated forward and reverse degradomics uncovers the proteolytic landscape of aortic aneurysms and the roles of MMP9 and mast cell chymase

The paper uses forward and reverse degradomics to analyze proteolytic landscapes in aortic aneurysms, identifying key proteases like MMP9 and CMA1 and their roles in extracellular matrix remodeling.

Exploring penetrance of clinically relevant variants in over 800,000 humans from the Genome Aggregation Database

The paper analyzes over 800,000 human genomes to assess penetrance of clinically relevant variants, finding that 95% of pLoF variants in severe diseases have explanations for lack of disease manifestation.

A genome-wide mutational constraint map quantified from variation in 76,156 human genomes

Rare-variant depletion in 1kb windows of 76,156 gnomAD genomes, versus feature-adjusted mutation expectations, marks regulatory elements and outperforms seven alternative scores at flagging functional non-coding variants.

Inferring compound heterozygosity from large-scale exome sequencing data

The paper develops a method to infer compound heterozygosity from exome sequencing data, achieving high accuracy in phasing rare variants for recessive disease diagnosis.

Whole genome association testing in 333,100 individuals across three biobanks identifies rare non-coding single variant and genomic aggregate associations with height

Causal SNP regulating FAM13B expression identified for the Chr. 5q31 atrial fibrillation susceptibility loc

The paper identifies rs17171731 as the causal SNP regulating FAM13B expression linked to atrial fibrillation and shows its effect on cardiomyocyte gene expression and sodium current.

Network-based prediction and functional validation of metformin for potential treatment of atrial Fibrillation using human inducible pluripotent stem cell-derived atrial-like cardiomyocytes

This study uses network-based methods to identify and validate metformin as a potential treatment for atrial fibrillation using human-derived atrial-like cardiomyocytes.

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.

Evaluating potential drug targets through human loss-of-function genetic variation

The paper evaluates potential drug targets using loss-of-function genetic variants from gnomAD, highlighting the importance of deep curation and targeted recall studies for drug discovery.

The mutational constraint spectrum quantified from variation in 141,456 humans

From 125,748 exomes and 15,708 genomes, 443,769 high-confidence predicted loss-of-function variants yield LOEUF, a continuous gene intolerance score tracking mouse lethality, cell essentiality, and disease associations.

Transcript expression-aware annotation improves rare variant discovery and interpretation

The paper develops an expression-based annotation metric to improve rare variant interpretation by filtering false-positive loss-of-function variants and identifying pathogenic variants in highly expressed exons.

An open resource of structural variation for medical and population genetics

Short-read genome sequencing of 14,891 diverse genomes yields 433,371 structural variants (SVs) for gnomAD; loss-constrained genes also resist duplication, and clinical SV carrier rates are benchmarked.

Human loss-of-function variants suggest that partial LRRK2 inhibition is a safe therapeutic strategy for Parkinsons disease

The paper analyzes loss-of-function variants in LRRK2 across large genomic datasets to assess the safety of partial LRRK2 inhibition as a Parkinson's disease therapy.

Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals

The paper systematically studies uORF variants in 15,708 genomes, showing they are under strong negative selection and contribute to disease.

Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes

The paper analyzes multi-nucleotide variants (MNVs) in 125,748 exomes and 15,708 genomes, identifying their distribution, mutational origins, and functional implications.

Atrial fibrillation associated common risk variants in SYNE2 lead to lower expression of nesprin-2α1 and increased nuclear stiffness

This study identifies AF-associated SNPs in SYNE2 that reduce SYNE21 expression and increase nuclear stiffness, potentially contributing to AF pathogenesis.

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.