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Qingqin S Li

Showing results (1-10 of 63) with videos related to

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Frontiers in Neuroscience|April 9, 2021
Integrated miRNA-Seq and mRNA-Seq Study to Identify miRNAs Associated With Alzheimer's Disease Using Post-mortem Brain Tissue SamplesQingqin S Li, Diana Cai
Brain, Behavior, & Immunity - Health|September 30, 2021
Differentially expressed genes in Alzheimer's disease highlighting the roles of microglia genes including OLR1 and astrocyte gene CDK2AP1Qingqin S Li, Louis De Muynck
Clinical Epigenetics|October 18, 2020
Epigenome-wide association study of Alzheimer's disease replicates 22 differentially methylated positions and 30 differentially methylated regionsQingqin S Li, Yu Sun, Tania Wang
Translational Psychiatry|October 27, 2020
Genome-wide association studies of antidepressant class response and treatment-resistant depressionQingqin S Li, Chao Tian, David Hinds, et al.
Brain, Behavior, and Immunity|January 25, 2020
The relationship between plasma serotonin and kynurenine pathway metabolite levels and the treatment response to escitalopram and desvenlafaxineYu Sun, Wayne Drevets, Gustavo Turecki, et al.
Plos One|November 5, 2020
The association of clinical phenotypes to known AD/FTD genetic risk loci and their inter-relationshipQingqin S Li, Chao Tian, , et al.
Scientific Reports|November 2, 2022
Meta-analysis of epigenome-wide association studies of major depressive disorderQingqin S Li, Randall L Morrison, Gustavo Turecki, et al.
Plos One|June 8, 2018
Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical studyZhi Nie, Srinivasan Vairavan, Vaibhav A Narayan, et al.
Plos One|August 8, 2015
Variations in the FRA10AC1 Fragile Site and 15q21 Are Associated with Cerebrospinal Fluid Aβ1-42 LevelQingqin S Li, Antonio R Parrado, Mahesh N Samtani, et al.
Scientific Reports|September 30, 2025
Prediction of treatment-resistant depression using the 23andMe survey dataSrinivasan Vairavan, Chao Tian, David Hinds, et al.
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Frontiers in Neuroscience|April 9, 2021
Integrated miRNA-Seq and mRNA-Seq Study to Identify miRNAs Associated With Alzheimer's Disease Using Post-mortem Brain Tissue SamplesQingqin S Li, Diana Cai
Brain, Behavior, & Immunity - Health|September 30, 2021
Differentially expressed genes in Alzheimer's disease highlighting the roles of microglia genes including OLR1 and astrocyte gene CDK2AP1Qingqin S Li, Louis De Muynck
Clinical Epigenetics|October 18, 2020
Epigenome-wide association study of Alzheimer's disease replicates 22 differentially methylated positions and 30 differentially methylated regionsQingqin S Li, Yu Sun, Tania Wang
Translational Psychiatry|October 27, 2020
Genome-wide association studies of antidepressant class response and treatment-resistant depressionQingqin S Li, Chao Tian, David Hinds, et al.
Brain, Behavior, and Immunity|January 25, 2020
The relationship between plasma serotonin and kynurenine pathway metabolite levels and the treatment response to escitalopram and desvenlafaxineYu Sun, Wayne Drevets, Gustavo Turecki, et al.
Plos One|November 5, 2020
The association of clinical phenotypes to known AD/FTD genetic risk loci and their inter-relationshipQingqin S Li, Chao Tian, , et al.
Scientific Reports|November 2, 2022
Meta-analysis of epigenome-wide association studies of major depressive disorderQingqin S Li, Randall L Morrison, Gustavo Turecki, et al.
Plos One|June 8, 2018
Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical studyZhi Nie, Srinivasan Vairavan, Vaibhav A Narayan, et al.
Plos One|August 8, 2015
Variations in the FRA10AC1 Fragile Site and 15q21 Are Associated with Cerebrospinal Fluid Aβ1-42 LevelQingqin S Li, Antonio R Parrado, Mahesh N Samtani, et al.
Scientific Reports|September 30, 2025
Prediction of treatment-resistant depression using the 23andMe survey dataSrinivasan Vairavan, Chao Tian, David Hinds, et al.
Pageof 7