Author

Yeajin Song

National Institutes of Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2 Genetic & Genomic Medicine· 1 Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:software / tool· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Andrew SingletoniD· 4 shared Cornelis BlauwendraatiD· 4 shared Hampton L. LeonardiD· 4 shared Hirotaka IwakiiD· 4 shared Mike A. NallsiD· 4 shared Dan VitaleiD· 3 shared Mary B. MakariousiD· 3 shared Sara Bandrés‐CigaiD· 3 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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4 shared papersGenomics

Andrew SingletonORCID

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Author profile →

5 papers

Recent·Most cited

TMEM175, SCARB2 and CTSB associations with Parkinson's disease risk across populations.

Wenhua Sun, Claudia Schulte, Thomas Gasser, Manuela M. X. Tan, the Global Parkinson’s Genetic Program (GP2), Lasse Pihlstrøm, Pedro Chaná, Yeajin Song, Sara Bandrés‐Ciga, Cornelis Blauwendraat, Andrew Singleton, Mike A. Nalls, Hampton L. Leonard, Mie Rizig, Hirotaka Iwaki, , Rejko Krüger

This study identifies genetic associations between lysosomal genes and Parkinson's disease risk across diverse populations using GWAS and whole genome sequencing data.

npj Parkinson s Disease · Dec 2, 2025Peer-reviewedGenetic & Genomic Medicine

GenoTools: An Open-Source Python Package for Efficient Genotype Data Quality Control and Analysis

Dan Vitale, Mathew J. Koretsky, Nicole Kuznetsov, Samantha Hong, Jessica Martin, Mikayla James, Mary B. Makarious, Hampton L. Leonard, Hirotaka Iwaki, Faraz Faghri, Cornelis Blauwendraat, Andrew Singleton, Yeajin Song, Kristin S. Levine, Ashwin Ashok Kumar Sreelatha, , Mike A. Nalls

GenoTools provides a Python package for genotype data QC, ancestry estimation, and GWAS, enabling scalable and reproducible analysis of large genetic datasets.

G3 Genes Genomes Genetics · Nov 20, 2024Peer-reviewedGenomics

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

Hampton L. Leonard, Ruqaya Murtadha, Alejandro Martínez-Carrasco, Alina Jama, Amica Corda Müller-Nedebock, Ana Luisa Gil-Martínez, Anastasia Illarionova, Anni K. Moore, Bernabé I. Bustos, Bharati Jadhav, Brook Huxford, Catherine S. Storm, Clodagh Towns, Dan Vitale, Devina Chetty, , Alastair John Noyce

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.

npj Parkinson s Disease · Mar 4, 2023Peer-reviewedGenetics

Microenvironment Impacts the Molecular Architecture and Interactivity of Resident Cells in Marmoset Brain

Jing‐Ping Lin, Hannah M. Kelly, Yeajin Song, Riki Kawaguchi, Daniel H. Geschwind, Steven Jacobson, Daniel S. Reich

The paper maps cell subclusters and their interactions in marmoset brain tissue, identifying WM-glia subtypes and their roles in neurological disorders.

Nature Communications · Sep 21, 2022Peer-reviewedNeuroscience

Multi-Modality Machine Learning Predicting Parkinsons Disease

Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, Lana J. Sargent, Anant Dadu, Ivo Violich, Elizabeth D. Hutchins, David Saffo, Sara Bandrés‐Ciga, Jonggeol Jeff Kim, Yeajin Song, Melina Maleknia, Matt Bookman, Willy Nojopranoto, , Mike A. Nalls

This paper develops an automated ML model to predict Parkinson's Disease using multi-modal data, achieving high AUC scores and constructing gene networks relevant to PD.

npj Parkinson s Disease · Apr 1, 2022Peer-reviewedGenomics