Diane Kaplan

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.

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.