Alex Lash

The paper describes how the Human Tumor Atlas Network shares data through standards, infrastructure, and community engagement, making datasets accessible via multiple platforms.

The GPF platform manages and analyzes large family genotypic and phenotypic data for autism research, enabling variant analysis and secure data sharing.

The paper identifies 60 new moderate risk genes for autism by integrating de novo and inherited variants across 42,607 cases and 236,000 controls.

The paper shows damaging de novo mutations in ASD are linked to impaired motor skills, independent of IQ, and proposes a new classification of phenotypic severity based on these associations.

This study uses a machine-learning approach to predict autism-associated genes and identifies key pathways and developmental stages involved in ASD.