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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Integrating spatial transcriptomics and snRNA-seq data enhances differential gene expression analysis results of AD-related phenotypes.
HGG Adv 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 -
SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine Learning.
medRxiv
05/13/2024 Authors: Parrish RL; Buchman AS; Tasaki S; Wang Y; Avey D; Xu J; De Jager PL; Bennett DA; Epstein MP; Yang J -
Genome-wide study of gene-by-sex interactions identifies risks for cleft palate.
medRxiv
05/03/2024 Authors: Robinson K; Parrish R; Adeyemo WL; Beaty TH; Butali A; Bux CJ; Gowans LJ; Hecht JT; Moreno L; Murray JC -
Inferring Alzheimer's disease pathologic traits from clinical measures in living adults.
medRxiv
01/20/2024 Authors: Yang J; Liu X; Oveisgharan S; Zammit AR; Nag S; Bennett DA; Buchman AS -
FDrisk: development of a validated risk assessment tool for Fabry disease utilizing electronic health record data.
J Rare Dis (Berlin) Volume: 3 Page(s): 2
01/01/2024 Authors: Lobel CJ; Laney DA; Yang J; Jacob D; Rickheim A; Ogg CZ; Clynes D; Dronen J