Julie Lake

Integrating sequence-to-omics predictions and personal multi-omics for rare variant prioritization

The paper introduces Watershed-DL, a framework integrating sequence-to-omics predictions and multi-omics data to prioritize rare variants, finding it increases prioritized variants by 61.4% and identifies candidate disease alleles.

Assessing the lack of diversity in genetics research across neurodegenerative diseases: a systematic review of the GWAS Catalog and literature

This paper reviews 123 neurodegenerative disease GWAS and finds 82% focus on European ancestry, with non-European studies identifying fewer risk loci.

Multi-ancestry genome-wide meta-analysis in Parkinson's disease

This paper conducts a multi-ancestry genome-wide meta-analysis of Parkinson's disease, identifying 78 independent loci and 23 genes associated with PD risk.

Multi-ancestry meta-analysis and fine-mapping in Alzheimer's Disease

This study conducts a multi-ancestry GWAS meta-analysis of Alzheimer's disease, identifies two novel loci, and assesses polygenic risk score generalizability across populations.

The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson's disease data

The paper describes a virtual hackathon event that brought together early career scientists to develop tools for Parkinson's disease research using open science principles.

Large-scale Rare Variant Burden Testing in Parkinson's Disease Identifies Novel Associations with Genes Involved in Neuro-inflammation

Investigation of Autosomal Genetic Sex Differences in Parkinsons disease

This study investigates sex-specific genetic factors in Parkinson's disease using GWAS but finds no significant genetic differences between male and female cases.