Natalie M. Schenker-Ahmed

This paper creates a multimodal single-cell atlas of the human basal ganglia, revealing epigenomic and 3D genome features across cell types and linking them to disease-associated genetic risk.

This paper presents a single-cell multiome atlas of the human basal ganglia, linking chromatin states and transcriptomes to cell-type identity and disease-associated variants.

The paper creates a single-cell atlas of transcription and chromatin states in the human brain, identifying regulatory programs and linking them to neuropsychiatric disorders.

The paper presents an integrated single-cell and epigenomic resource for exploring basal ganglia datasets across species, enabling multi-omics and comparative analysis.

This paper develops a model combining polygenic risk scores and quantitative MRI to predict dementia onset up to eight years earlier than traditional methods.

This study evaluates a precision health platform integrating whole genome sequencing and noninvasive clinical assessments in 1190 healthy participants, identifying significant genetic and phenotypic findings linked to disease risk.

The paper integrates multimodal health data to identify novel biomarker signatures for health and disease, showing better predictive power for diabetes and hypertension than traditional biomarkers.