Articles with public access mandates - Donghyung LeeLearn more
Available somewhere: 16
DIST: direct imputation of summary statistics for unmeasured SNPs
D Lee, TB Bigdeli, BP Riley, AH Fanous, SA Bacanu
Bioinformatics 29 (22), 2925-2927, 2013
Mandates: US National Institutes of Health
Meta-analysis of positive and negative symptoms reveals schizophrenia modifier genes
AC Edwards, TB Bigdeli, AR Docherty, S Bacanu, D Lee, TR De Candia, ...
Schizophrenia bulletin 42 (2), 279-287, 2016
Mandates: US National Institutes of Health, US Department of Veterans Affairs …
A simple yet accurate correction for winner's curse can predict signals discovered in much larger genome scans
TB Bigdeli, D Lee, BT Webb, BP Riley, VI Vladimirov, AH Fanous, ...
Bioinformatics 32 (17), 2598-2603, 2016
Mandates: US National Institutes of Health
DISTMIX: direct imputation of summary statistics for unmeasured SNPs from mixed ethnicity cohorts
D Lee, TB Bigdeli, VS Williamson, VI Vladimirov, BP Riley, AH Fanous, ...
Bioinformatics 31 (19), 3099-3104, 2015
Mandates: US National Institutes of Health
JEPEG: a summary statistics based tool for gene-level joint testing of functional variants
D Lee, VS Williamson, TB Bigdeli, BP Riley, AH Fanous, VI Vladimirov, ...
Bioinformatics 31 (8), 1176-1182, 2015
Mandates: US National Institutes of Health
Genome-wide gene pathway analysis of psychotic illness symptom dimensions based on a new schizophrenia-specific model of the OPCRIT
AR Docherty, TB Bigdeli, AC Edwards, S Bacanu, D Lee, MC Neale, ...
Schizophrenia research 164 (1-3), 181-186, 2015
Mandates: US National Institutes of Health, Wellcome Trust
TWAS pathway method greatly enhances the number of leads for uncovering the molecular underpinnings of psychiatric disorders
C Chatzinakos, F Georgiadis, D Lee, N Cai, VI Vladimirov, A Docherty, ...
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 183 …, 2020
Mandates: US National Institutes of Health
Expression quantitative trait loci (eQTLs) in microRNA genes are enriched for schizophrenia and bipolar disorder association signals
VS Williamson, M Mamdani, GO McMichael, AH Kim, D Lee, S Bacanu, ...
Psychological medicine 45 (12), 2557-2569, 2015
Mandates: US National Institutes of Health
Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA)
D Lee, A Cheng, N Lawlor, M Bolisetty, D Ucar
Scientific Reports 8 (1), 17040, 2018
Mandates: US National Institutes of Health
JEPEGMIX: gene-level joint analysis of functional SNPs in cosmopolitan cohorts
D Lee, VS Williamson, TB Bigdeli, BP Riley, BT Webb, AH Fanous, ...
Bioinformatics 32 (2), 295-297, 2016
Mandates: US National Institutes of Health
V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq data
N Lawlor, EJ Marquez, D Lee, D Ucar
Bioinformatics 36 (11), 3582-3584, 2020
Mandates: US National Institutes of Health, Chan Zuckerberg Initiative
Increasing the resolution and precision of psychiatric genome‐wide association studies by re‐imputing summary statistics using a large, diverse reference panel
C Chatzinakos, D Lee, N Cai, VI Vladimirov, BT Webb, BP Riley, J Flint, ...
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 186 …, 2021
Mandates: US National Institutes of Health
Co-expression of prepulse inhibition and schizophrenia genes in the mouse and human brain
L Garrett, D Trümbach, D Lee, S Mandillo, R Samaco, AM Flenniken, ...
Neuroscience Applied 3, 104075, 2024
Mandates: Genome Canada, Agence Nationale de la Recherche
A statistical framework for the robust detection of hidden variation in single cell transcriptomes
D Lee, A Cheng, M Bolisetty, D Ucar
bioRxiv, 151217, 2017
Mandates: US National Institutes of Health
Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling
NI Strom, B Verhulst, SA Bacanu, R Cheesman, KL Purves, H Gedik, ...
medRxiv, 2024.07. 03.24309466, 2024
Mandates: National Health and Medical Research Council, Australia, Academy of Finland …
QCAT: testing causality of variants using only summary association statistics
D Lee, TB Bigdeli, VI Vladimirov, AH Fanous, SA Bacanu
bioRxiv, 072355, 2016
Mandates: US National Institutes of Health
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