Laura Doyle Gauthier

A 515,579-Genome Reference Panel Improves Rare-Variant Imputation Across Multiple Underrepresented Populations

The paper presents a large reference panel of 515,579 genomes to improve rare-variant imputation across underrepresented populations, enhancing accuracy for variants with frequencies as low as 0.002%.

Integrating 730,947 exome sequences with clinical literature improves gene discovery

gnomAD v4 (730,947 exomes) brings LOFTEE-2 loss-of-function annotation (0.90 precision, strict mode), missense-aware constraint, and LLM-mined literature evidence combined with constraint to rank disease genes.

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.

Scalable automated reanalysis of genomic data in research and clinical rare disease cohorts

The paper develops an automated tool for reanalyzing genomic data in rare disease cohorts, showing improved diagnostic yields through iterative reanalysis.

Exome sequencing of 20,979 individuals with epilepsy reveals shared and distinct ultra-rare genetic risk across disorder subtypes

This study identifies shared and distinct ultra-rare genetic risk factors for epilepsy subtypes using whole-exome sequencing of 20,979 patients and 33,444 controls.

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.

CHARR efficiently estimates contamination from DNA sequencing data

CHARR estimates DNA contamination from variant-level sequencing data, offering accurate results with reduced computational costs compared to existing methods.

Technical artifact drives apparent deviation from Hardy-Weinberg equilibrium at CCR5-Δ32 and other variants in gnomAD

The paper identifies a genotyping artifact causing apparent HWE deviation at CCR5-Δ32 and other variants, showing it results from contamination rather than selective pressure.

GATK-gCNV: A Rare Copy Number Variant Discovery Algorithm and Its Application to Exome Sequencing in the UK Biobank

GATK-gCNV detects rare copy number variants from exome sequencing data, achieving high recall in benchmarking and generating a reference catalog of rare coding CNVs in the UK Biobank.

Systematic single-variant and gene-based association testing of thousands of phenotypes in 426,370 UK Biobank exomes

The paper performs single-variant and gene-based association analyses of 4,529 phenotypes using exome data from 426,370 UK Biobank individuals, finding associations linked to variant frequency and deleteriousness.

Mitochondrial DNA variation across 56,434 individuals in gnomAD

The paper presents a pipeline to call mitochondrial DNA variants in gnomAD, reporting population frequencies for 10,850 unique mtDNA variants across 56,434 individuals.

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.

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.

Scaling accurate genetic variant discovery to tens of thousands of samples

Per-sample assembly with gVCF output, followed by joint genotyping, lets GATK HaplotypeCaller scale linearly with cohort size while calling indels more accurately than SAMtools, UnifiedGenotyper or Platypus.

New synthetic-diploid benchmark for accurate variant calling evaluation

The paper introduces a new synthetic-diploid benchmark for variant calling accuracy, derived from de novo PacBio assemblies of homozygous human cell lines to reduce bias in error rate estimation.