Kristen M. Laricchia

Genomic Research as a Critical Pathway to Diagnosis for Individuals with Rare Disease

The Rare Genomes Project provides remote genomic sequencing to rare disease families, achieving a 23.3% diagnostic solve rate and highlighting the role of research in overcoming clinical diagnostic barriers.

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.

Mitochondrial DNA variant detection in over 6,500 rare disease families by the systematic analysis of exome and genome sequencing data resolves undiagnosed cases

The paper identifies mitochondrial DNA variants in undiagnosed rare disease families using exome and genome sequencing data, leading to diagnoses in 0.4% of cases.

Quantifying constraint in the human mitochondrial genome

The paper develops a mitochondrial constraint model applied to gnomAD data, revealing strong depletion of expected variation and identifying constrained regions in mtDNA.

A cell type-aware framework for nominating non-coding variants in Mendelian regulatory disorders

The paper develops a cell type-aware framework to identify non-coding variants in Mendelian disorders by integrating single-cell multi-omic data and applying it to congenital cranial dysinnervation disorders.

The landscape of regional missense mutational intolerance quantified from 730,947 exomes

The paper quantifies regional missense mutational intolerance using 730,947 exomes to identify constrained gene regions and improve variant interpretation.

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.

Cystin gene mutations cause autosomal recessive polycystic kidney disease associated with altered Myc expression

This paper shows that Cys1 gene mutations cause ARPKD by altering Myc expression, using mouse models and a human patient case.

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.