Emily G. Evangelista

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.

An estimation of global genetic prevalence of PLA2G6-associated neurodegeneration

The paper estimates the genetic prevalence of PLA2G6-associated neurodegeneration using database and literature-based approaches, finding higher prevalence in African/African-American and Asian populations.

Exome copy number variant detection, analysis and classification in a large cohort of families with undiagnosed rare genetic disease

The paper detects and classifies copy number variants in exome data from 6,633 families, identifying causal CNVs in 173 families and improving classification standards.

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.

Unique Capabilities of Genome Sequencing for Rare Disease Diagnosis

This study evaluates genome sequencing's diagnostic yield in a cohort of undiagnosed rare disease patients, finding it solves 29.3% of cases with specific variant types not detectable by exome sequencing.

Centers for Mendelian Genomics: A decade of facilitating gene discovery

The paper describes the role of the Centers for Mendelian Genomics in advancing gene discovery through data sharing, collaboration, and resource development over the past decade.

Systematic evaluation of genome sequencing for the assessment of fetal structural anomalies

This study evaluates genome sequencing as a single diagnostic approach for fetal structural anomalies, showing it detects nearly all variants from standard tests and provides higher diagnostic yield than individual tests.