Qian Peng, PhD - Scripps Research

Research Focus

Dr. Peng’s research interest broadly defined is to understand the biological determinants of mental health through innovative applications of algorithms and statistics. Specifically, we are currently focusing on dissecting the complex genomic and epigenomic basis of addiction and comorbid disorders through multi-omics and integrative computational approaches. We are also interested in determining how ancestral background and genetic interactions confer risk or protection for addictive and comorbid mental disorders. Our goal is to provide more precision in the understanding of the mechanism underlying risk for addiction and thus provide a substrate for more effective prevention and intervention.

Education

Professional Experience

Awards & Professional Activities

Select Publications

Peng, Qian; Ehlers, Cindy L.; Peng, Qian; Ehlers, Cindy L. Long tracks of homozygosity predict the severity of alcohol use disorders in an American Indian population.. Molecular Psychiatry 2021, 1-12.
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Peng, Qian; Conti, Bruno; Peng, Qian; Sanchez-alavez, Manuel; Peng, Qian; Morale, Maria C.; Maher, Pamela; Feng, Kaige; Fazelpour, Sherwin; Conti, Bruno; Cintron-colon, Rigo; Aguirre, Carlos A. Two single nucleotide polymorphisms in IL13 and IL13RA1 from individuals with idiopathic Parkinson's disease increase cellular susceptibility to oxidative stress.. Brain, behavior, and immunity 2020, 920-924.
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Fan, X.; Wang, H.; Sun, L.; Zheng, X.; Yin, X.; Zuo, X.; Peng, Qian; Standish, K. A.; Cheng, H.; Zhang, Y.; Wang, Z.; Xiao, F.; Yang, S.; Zhang, X.; Schork, Nicholas J. Fine mapping and subphenotyping implicates ADRA1B gene variants in psoriasis susceptibility in a Chinese population. Epigenomics 2019, 11, 455-467.
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Deacon, D. C.; Happe, C. L.; Chen, C.; Tedeschi, N.; Manso, A. M.; Li, T.; Dalton, N. D.; Peng, Qian; Farah, E. N.; Gu, Y.; Tenerelli, K. P.; Tran, V. D.; Chen, J.; Peterson, K. L.; Schork, Nicholas J.; Adler, E. D.; Engler, A. J.; Ross, R. S.; Chi, N. C. Combinatorial interactions of genetic variants in human cardiomyopathy. Nature Biomedical Engineering 2019, 3, 147-157.
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