Jingjing Yang
- Department of Human Genetics
Associate Professor
-
615 Michael Street
Suite 305K
Atlanta, GA 30322
Overview
The Yang Lab (https://yanglab-emory.github.io/) is interested in developing statistical methods and tools to integrate multi-omics data for studying complex human diseases, such as Alzheimers Disease, mobile disability, and Parkinson disease. We investigate Bayesian statistical methods and machine learning and deep learning methods with efficient computational algorithms. We are also interested in analysing next-generation sequence data and biomedical signal/image data. Programming languages we use include R, Python, C++, and Perl. The computation environments we use are Linux/Unix computation cluster and Amazon Web Services.
The Yang Lab recruites all levels of Emory students for hourly-paid research assistants, which is suitable for Undergraduates who are looking for research internships and SPH master students who are looking for APE or thesis projects. Dr. Yang accepts Ph.D. students from the GMB/PBEE graduate program of the GDBBS and the Ph.D. program of the Department of Biostatistics and Bioinformatics School of Public Health.
Academic Appointment
- Associate Professor, Human Genetics of SOM & Bistatistics and Bioinformatics of SPH, Emory University
Education
Degrees
- PhD from Rice University, Houston
Research
Publications
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Proteome-wide association studies using summary pQTL data of brain, CSF, and plasma identify 30 risk genes of Alzheimer's disease dementia.
Alzheimers Res Ther Volume: 17 Page(s): 135
06/18/2025 Authors: Hu T; Liu Q; Dai Q; Buchman AS; Bennett DA; Tasaki S; Wang Y; Seyfried NT; De Jager PL; Epstein MP -
CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary data.
Am J Hum Genet
06/10/2025 Authors: Head ST; Dai Q; Schildkraut J; Cutler DJ; Yang J; Epstein MP -
Cell-type-specific Transcriptomic-wide Association Studies Detected 91 Independent Risk Genes for Alzheimer's Disease Dementia.
medRxiv
05/28/2025 Authors: Liu Q; Parrish RL; Tang S; Tasaki S; Bennett DA; Seyfried NT; De Jager PL; Menon V; Buchman AS; Yang J -
Clinicopathologic and Whole Exome Sequencing Analyzes of High-Grade Serous Carcinoma-Like Carcinoma of the Breast Reveal Unique Genetic Profile and Poor Clinical Outcome.
Am J Surg Pathol
05/23/2025 Authors: Hsiao W-Y; Nguyen TTA; Yang W; Yan H; Li Z; Zhang L; Yang J; Li X -
Integrating spatial transcriptomics and snRNA-seq data enhances differential gene expression analysis results of AD-related phenotypes.
HGG Adv Volume: 6 Page(s): 100447
05/05/2025 Authors: Tang S; Liu S; Buchman AS; Bennett DA; De Jager PL; Yang J; Hu J -
Omnibus proteome-wide association study identifies 43 risk genes for Alzheimer disease dementia.
Am J Hum Genet Volume: 111 Page(s): 1848 - 1863
09/05/2024 Authors: Hu T; Parrish RL; Dai Q; Buchman AS; Tasaki S; Bennett DA; Seyfried NT; Epstein MP; Yang J -
Proteome-wide association studies using summary pQTL data of three tissues identified 30 risk genes of Alzheimer's disease dementia.
09/04/2024 Authors: Hu T; Liu Q; Dai Q; Parrish RL; Buchman AS; Tasaki S; Seyfried NT; Wang Y; Bennett DA; De Jager PL -
SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning.
Nat Commun Volume: 15 Page(s): 6646
08/05/2024 Authors: Parrish RL; Buchman AS; Tasaki S; Wang Y; Avey D; Xu J; De Jager PL; Bennett DA; Epstein MP; Yang J -
Cis- and trans-eQTL TWASs of breast and ovarian cancer identify more than 100 susceptibility genes in the BCAC and OCAC consortia.
Am J Hum Genet Volume: 111 Page(s): 1084 - 1099
06/06/2024 Authors: Head ST; Dezem F; Todor A; Yang J; Plummer J; Gayther S; Kar S; Schildkraut J; Epstein MP -
Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer's disease dementia.
Alzheimers Res Ther Volume: 16 Page(s): 120
06/01/2024 Authors: Guo S; Yang J