Li, Qingqin S.

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyTreatment of Major Depression

Cited by 3,005

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Trubetskoy, V., Pardiñas, A. F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T. B., Bryois, J., Chen, C.-Y., Dennison, C. A., Hall, L. S., et al. (2022) · Nature

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 2,964

Analysis of shared heritability in common disorders of the brain

The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,924

Genome-wide association study identifies 30 loci associated with bipolar disorder

eQTLGen Consortium, Stahl, E. A., BIOS Consortium, the Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., Trubetskoy, V., Mattheisen, M., et al. (2019) · Nature Genetics

Bipolar Disorder and TreatmentGenetic Associations and Epidemiology

Cited by 1,519

Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

Mullins, N., Forstner, A. J., O’Connell, K. S., Coombes, B., Coleman, J. R. I., Qiao, Z., Als, T. D., Bigdeli, T. B., Børte, S., Bryois, J., et al. (2021) · Nature Genetics

Bipolar Disorder and TreatmentGenetic Associations and Epidemiology

Cited by 1,517

Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

Lee, P. H., Anttila, V., Won, H., Feng, Y.-C. A., Rosenthal, J., Zhu, Z., Tucker-Drob, E. M., Nivard, M. G., Grotzinger, A. D., Posthuma, D., et al. (2019) · Cell

Genetic Associations and EpidemiologySchizophrenia research and treatment

Cited by 1,381

Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases

Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., et al. (2014) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 544

GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors

Docherty, A. R., Mullins, N., Ashley-Koch, A. E., Qin, X., Coleman, J. R. I., Shabalin, A., Kang, J., Murnyak, B., Wendt, F., Adams, M., et al. (2023) · American Journal of Psychiatry

Genetic Associations and EpidemiologySuicide and Self-Harm Studies

Cited by 160

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Czamara, D., Eraslan, G., Page, C. M., Lahti, J., Lahti-Pulkkinen, M., Hämäläinen, E., Kajantie, E., Laivuori, H., Villa, P. M., Reynolds, R. M., et al. (2019) · Nature Communications

Epigenetics and DNA MethylationBirth, Development, and Health

Cited by 143

Genome-Wide Association Study of Suicide Death and Polygenic Prediction of Clinical Antecedents

Docherty, A. R., Shabalin, A. A., DiBlasi, E., Monson, E., Mullins, N., Adkins, D. E., Bacanu, S.-A., Bakian, A. V., Crowell, S., Chen, D., et al. (2020) · American Journal of Psychiatry

Genetic Associations and EpidemiologySuicide and Self-Harm Studies

Cited by 124

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

Matcham, F., Leightley, D., Siddi, S., Lamers, F., White, K. M., Annas, P., de Girolamo, G., Difrancesco, S., Haro, J. M., Horsfall, M., et al. (2022) · BMC Psychiatry

Digital Mental Health InterventionsMental Health Research Topics

Cited by 110

Harnessing peripheral DNA methylation differences in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to reveal novel biomarkers of disease

Vasanthakumar, A., Davis, J. W., Idler, K., Waring, J. F., Asque, E., Riley-Gillis, B., Grosskurth, S., Srivastava, G., Kim, S., Nho, K., et al. (2020) · Clinical Epigenetics

Dementia and Cognitive Impairment ResearchEpigenetics and DNA Methylation

Cited by 98

Genome-wide association study meta-analysis of suicide death and suicidal behavior

Li, Q. S., Shabalin, A. A., DiBlasi, E., Gopal, S., Canuso, C. M., FinnGen, I. S. G. C., Palotie, A., Drevets, W. C., Docherty, A. R., & Coon, H. (2023) · Molecular Psychiatry

Suicide and Self-Harm StudiesGenetic Associations and Epidemiology

Cited by 68

Genome-wide significant regions in 43 Utah high-risk families implicate multiple genes involved in risk for completed suicide

Coon, H., Darlington, T. M., DiBlasi, E., Callor, W. B., Ferris, E., Fraser, A., Yu, Z., William, N., Das, S. C., Crowell, S. E., et al. (2020) · Molecular Psychiatry

Suicide and Self-Harm StudiesGenetic Associations and Epidemiology

Cited by 64

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study

Nie, Z., Vairavan, S., Narayan, V. A., Ye, J., & Li, Q. S. (2018) · PLOS ONE

Treatment of Major DepressionArtificial Intelligence in Healthcare

Cited by 62

A standardized workflow for long-term longitudinal actigraphy data processing using one year of continuous actigraphy from the CAN-BIND Wellness Monitoring Study

Slyepchenko, A., Uher, R., Ho, K., Hassel, S., Matthews, C., Lukus, P. K., Daros, A. R., Minarik, A., Placenza, F., Li, Q. S., et al. (2023) · Scientific Reports

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 17

Personalized relapse prediction in patients with major depressive disorder using digital biomarkers

Vairavan, S., Rashidisabet, H., Li, Q. S., Ness, S., Morrison, R. L., Soares, C. N., Uher, R., Frey, B. N., Lam, R. W., Kennedy, S. H., et al. (2023) · Scientific Reports

Mental Health Research TopicsContext-Aware Activity Recognition Systems

Cited by 14

Characterization of APOE Christchurch carriers in 455,306 UK Biobank participants

He, K. Y., Khramtsova, E. A., Cabrera-Socorro, A., Zhang, Y., Li, S., Sarver, B. A. J., Smets, B., Li, Q. S., De Muynck, L., Parrado, A. R., et al. (2023) · Molecular Neurodegeneration

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 8

Predicting Relapse of Depressive Episodes During Maintenance Treatment: The Canadian Biomarker Integration Network in Depression (CAN-BIND) Wellness Monitoring in Major Depressive Disorder Study: Prédire la rechute d’épisodes dépressifs pendant le traitement d’entretien : Une étude de suivi du bien-être dans les troubles dépressifs majeurs du Réseau canadien d’intégration des biomarqueurs pour la dépression (CAN-BIND)

Lam, R. W., Rnic, K., Nunez, J.-J., Ho, K., LeMoult, J., Nunes, A., Chakrabarty, T., Foster, J. A., Frey, B. N., Harkness, K. L., et al. (2025) · The Canadian Journal of Psychiatry

Treatment of Major DepressionMental Health Research Topics

Cited by 6

Depression-Anxiety Coupling Strength as a predictor of relapse in major depressive disorder: A CAN-BIND wellness monitoring study report

Nunes, A., Pavlova, B., Cunningham, J. E. A., Nuñez, J.-J., Quilty, L. C., Foster, J. A., Harkness, K. L., Ho, K., Lam, R. W., Li, Q. S., et al. (2024) · Journal of Affective Disorders

Mental Health Research TopicsTreatment of Major Depression

Cited by 5

Predicting recurrence of major depressive episodes using the Depression Implicit Association Test: A Canadian biomarker integration network in depression (CAN-BIND) report

Rnic, K., LeMoult, J., Torres, I. J., Chakrabarty, T., Foster, J., Frey, B. N., Harkness, K. L., Ho, K., Li, Q. S., Milev, R., et al. (2023) · Psychiatry Research

Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesTreatment of Major Depression

Cited by 3

Alzheimer’s disease genetics converges on microglial and neuronal dysregulation

Uffelmann, E., Wightman, D. P., Bahrami, S., Shadrin, A. A., Fominykh, V., Ojima, T., Jiang, C., Benner, C., Moreno, E., Campos, A. I., et al. (2026) · Nature

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 0