List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Glioma. The EFO term central nervous system cancer was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
S Shete, FJ Hosking, LB Robertson, SE Dobbins, M Sanson, B Malmer, M Simon, Y Marie, B Boisselier, JY Delattre, K Hoang-Xuan, S El Hallani, A Idbaih, D Zelenika, U Andersson, R Henriksson, AT Bergenheim, M Feychting, S Lönn, A Ahlbom, J Schramm, M Linnebank, K Hemminki, R Kumar, SJ Hepworth, A Price, G Armstrong, Y Liu, X Gu, R Yu, C Lau, M Schoemaker, K Muir, A Swerdlow, M Lathrop, M Bondy, RS Houlston
Genes associated with Homo sapiens that interact with the MeSH term 'Benzo(a)pyrene' (D001564). Incorporates data from 3 publications curated by the Comparative Toxicogenomics Database (CTD). ODE Gene scores represent number of supporting publications per gene.
Genes associated with Homo sapiens that interact with the MeSH term '(+)-JQ1 compound' (C561695). Incorporates data from 9 publications curated by the Comparative Toxicogenomics Database (CTD). ODE Gene scores represent number of supporting publications per gene.
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Monocyte count. The EFO term monocyte count was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
MF Keller, AP Reiner, Y Okada, FJ van Rooij, AD Johnson, MH Chen, AV Smith, AP Morris, T Tanaka, L Ferrucci, AB Zonderman, G Lettre, T Harris, M Garcia, S Bandinelli, R Qayyum, LR Yanek, DM Becker, LC Becker, C Kooperberg, B Keating, J Reis, H Tang, E Boerwinkle, Y Kamatani, K Matsuda, N Kamatani, Y Nakamura, M Kubo, S Liu, A Dehghan, JF Felix, A Hofman, AG Uitterlinden, CM van Duijn, OH Franco, DL Longo, AB Singleton, BM Psaty, MK Evans, LA Cupples, JI Rotter, CJ O'Donnell, A Takahashi, JG Wilson, SK Ganesh, MA Nalls
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was White blood cell count. The EFO term leukocyte count was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
MF Keller, AP Reiner, Y Okada, FJ van Rooij, AD Johnson, MH Chen, AV Smith, AP Morris, T Tanaka, L Ferrucci, AB Zonderman, G Lettre, T Harris, M Garcia, S Bandinelli, R Qayyum, LR Yanek, DM Becker, LC Becker, C Kooperberg, B Keating, J Reis, H Tang, E Boerwinkle, Y Kamatani, K Matsuda, N Kamatani, Y Nakamura, M Kubo, S Liu, A Dehghan, JF Felix, A Hofman, AG Uitterlinden, CM van Duijn, OH Franco, DL Longo, AB Singleton, BM Psaty, MK Evans, LA Cupples, JI Rotter, CJ O'Donnell, A Takahashi, JG Wilson, SK Ganesh, MA Nalls
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was White blood cell types. The EFO term monocyte count was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
Y Okada, T Hirota, Y Kamatani, A Takahashi, H Ohmiya, N Kumasaka, K Higasa, Y Yamaguchi-Kabata, N Hosono, MA Nalls, MH Chen, FJ van Rooij, AV Smith, T Tanaka, DJ Couper, NA Zakai, L Ferrucci, DL Longo, DG Hernandez, JC Witteman, TB Harris, CJ O'Donnell, SK Ganesh, K Matsuda, T Tsunoda, T Tanaka, M Kubo, Y Nakamura, M Tamari, K Yamamoto, N Kamatani
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Hypospadias. The EFO term hypospadias was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
F Geller, B Feenstra, L Carstensen, TH Pers, IA van Rooij, IB Körberg, S Choudhry, JM Karjalainen, TH Schnack, MV Hollegaard, WF Feitz, N Roeleveld, DM Hougaard, JN Hirschhorn, L Franke, LS Baskin, A Nordenskjöld, LF van der Zanden, M Melbye
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Inflammatory bowel disease. The EFO term inflammatory bowel disease was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
L Jostins, S Ripke, RK Weersma, RH Duerr, DP McGovern, KY Hui, JC Lee, LP Schumm, Y Sharma, CA Anderson, J Essers, M Mitrovic, K Ning, I Cleynen, E Theatre, SL Spain, S Raychaudhuri, P Goyette, Z Wei, C Abraham, JP Achkar, T Ahmad, L Amininejad, AN Ananthakrishnan, V Andersen, JM Andrews, L Baidoo, T Balschun, PA Bampton, A Bitton, G Boucher, S Brand, C Büning, A Cohain, S Cichon, M D'Amato, D De Jong, KL Devaney, M Dubinsky, C Edwards, D Ellinghaus, LR Ferguson, D Franchimont, K Fransen, R Gearry, M Georges, C Gieger, J Glas, T Haritunians, A Hart, C Hawkey, M Hedl, X Hu, TH Karlsen, L Kupcinskas, S Kugathasan, A Latiano, D Laukens, IC Lawrance, CW Lees, E Louis, G Mahy, J Mansfield, AR Morgan, C Mowat, W Newman, O Palmieri, CY Ponsioen, U Potocnik, NJ Prescott, M Regueiro, JI Rotter, RK Russell, JD Sanderson, M Sans, J Satsangi, S Schreiber, LA Simms, J Sventoraityte, SR Targan, KD Taylor, M Tremelling, HW Verspaget, M De Vos, C Wijmenga, DC Wilson, J Winkelmann, RJ Xavier, S Zeissig, B Zhang, CK Zhang, H Zhao, MS Silverberg, V Annese, H Hakonarson, SR Brant, G Radford-Smith, CG Mathew, JD Rioux, EE Schadt, MJ Daly, A Franke, M Parkes, S Vermeire, JC Barrett, JH Cho
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Glioma. The EFO term central nervous system cancer was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
M Sanson, FJ Hosking, S Shete, D Zelenika, SE Dobbins, Y Ma, V Enciso-Mora, A Idbaih, JY Delattre, K Hoang-Xuan, Y Marie, B Boisselier, C Carpentier, XW Wang, AL Di Stefano, M Labussière, K Gousias, J Schramm, A Boland, D Lechner, I Gut, G Armstrong, Y Liu, R Yu, C Lau, MC Di Bernardo, LB Robertson, K Muir, S Hepworth, A Swerdlow, MJ Schoemaker, HE Wichmann, M Müller, S Schreiber, A Franke, S Moebus, L Eisele, A Försti, K Hemminki, M Lathrop, M Bondy, RS Houlston, M Simon
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Retinopathy in non-diabetics. The EFO term retinopathy was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
RA Jensen, X Sim, X Li, MF Cotch, MK Ikram, EG Holliday, G Eiriksdottir, TB Harris, F Jonasson, BE Klein, LJ Launer, AV Smith, E Boerwinkle, N Cheung, AW Hewitt, G Liew, P Mitchell, JJ Wang, J Attia, R Scott, NL Glazer, T Lumley, B McKnight, BM Psaty, K Taylor, A Hofman, PT de Jong, F Rivadeneira, AG Uitterlinden, WT Tay, YY Teo, M Seielstad, J Liu, CY Cheng, SM Saw, T Aung, SK Ganesh, CJ O'Donnell, MA Nalls, KL Wiggins, JZ Kuo, CM van Duijn, V Gudnason, R Klein, DS Siscovick, JI Rotter, ES Tai, J Vingerling, TY Wong
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Inflammatory bowel disease. The EFO term inflammatory bowel disease was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
JZ Liu, S van Sommeren, H Huang, SC Ng, R Alberts, A Takahashi, S Ripke, JC Lee, L Jostins, T Shah, S Abedian, JH Cheon, J Cho, NE Daryani, L Franke, Y Fuyuno, A Hart, RC Juyal, G Juyal, WH Kim, AP Morris, H Poustchi, WG Newman, V Midha, TR Orchard, H Vahedi, A Sood, JJ Sung, R Malekzadeh, HJ Westra, K Yamazaki, SK Yang, JC Barrett, A Franke, BZ Alizadeh, M Parkes, T B K, MJ Daly, M Kubo, CA Anderson, RK Weersma
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was White blood cell count. The EFO term monocyte count was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
MA Nalls, DJ Couper, T Tanaka, FJ van Rooij, MH Chen, AV Smith, D Toniolo, NA Zakai, Q Yang, A Greinacher, AR Wood, M Garcia, P Gasparini, Y Liu, T Lumley, AR Folsom, AP Reiner, C Gieger, V Lagou, JF Felix, H Völzke, NA Gouskova, A Biffi, A Döring, U Völker, S Chong, KL Wiggins, A Rendon, A Dehghan, M Moore, K Taylor, JG Wilson, G Lettre, A Hofman, JC Bis, N Pirastu, CS Fox, C Meisinger, J Sambrook, S Arepalli, M Nauck, H Prokisch, J Stephens, NL Glazer, LA Cupples, Y Okada, A Takahashi, Y Kamatani, K Matsuda, T Tsunoda, T Tanaka, M Kubo, Y Nakamura, K Yamamoto, N Kamatani, M Stumvoll, A Tönjes, I Prokopenko, T Illig, KV Patel, SF Garner, B Kuhnel, M Mangino, BA Oostra, SL Thein, J Coresh, HE Wichmann, S Menzel, J Lin, G Pistis, AG Uitterlinden, TD Spector, A Teumer, G Eiriksdottir, V Gudnason, S Bandinelli, TM Frayling, A Chakravarti, CM van Duijn, D Melzer, WH Ouwehand, D Levy, E Boerwinkle, AB Singleton, DG Hernandez, DL Longo, N Soranzo, JC Witteman, BM Psaty, L Ferrucci, TB Harris, CJ O'Donnell, SK Ganesh
List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Non-glioblastoma glioma. The EFO term central nervous system cancer was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.
Authors:
B Kinnersley, M Labussière, A Holroyd, AL Di Stefano, P Broderick, J Vijayakrishnan, K Mokhtari, JY Delattre, K Gousias, J Schramm, MJ Schoemaker, SJ Fleming, S Herms, S Heilmann, S Schreiber, HE Wichmann, MM Nöthen, A Swerdlow, M Lathrop, M Simon, M Bondy, M Sanson, RS Houlston
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "molecular_function", which is defined as "A molecular process that can be carried out by the action of a single macromolecular machine, usually via direct physical interactions with other molecular entities. Function in this sense denotes an action, or activity, that a gene product (or a complex) performs. These actions are described from two distinct but related perspectives: (1) biochemical activity, and (2) role as a component in a larger system/process." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "protein binding", which is defined as "Interacting selectively and non-covalently with any protein or protein complex (a complex of two or more proteins that may include other nonprotein molecules)." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "binding", which is defined as "The selective, non-covalent, often stoichiometric, interaction of a molecule with one or more specific sites on another molecule." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
This set describes genes whose transcription is down-regulated in the whole blood of mild COVID-19 patients versus healthy donors. Genes listed in table S2 were entered using the core ENSEMBL Gene identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
down in early COVID-19 granulocytes, severe vs mild
Description:
This set includes genes that are downregulated in granulocytes from patients with severe versus mild disease at an early stage. Early stage was considered to be from days 1-10 after symptoms. Genes from table S4 were entered using ENSEMBL identifiers. Values given are log2 fold change in expression levels.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
Postmortem human brain tissue from the putamen region of a total of 48 individuals with Alcohol Use Disorder (AUD) and 51 control individuals were taken and RNA extracted from frozen tissue. Sequencing was carried out using the NovaSeq 6000 (Illumina) platform, and gene expression analysis was carried out with respect to AUD and control samples. Gene symbols from Entrez ids are used and Logbase2 FC as provided by the authors are annotated.
Authors:
Lea Zillich, Eric Poisel, Josef Frank, Jerome C Foo, Marion M Friske, Fabian Streit, Lea Sirignano, Stefanie Heilmann-Heimbach, André Heimbach, Per Hoffmann, Franziska Degenhardt, Anita C Hansson, Georgy Bakalkin, Markus M Nöthen, Marcella Rietschel, Rainer Spanagel, Stephanie H Witt
Opioid_human_dorsolateral prefrontal cortex_reanalysis of Corradin et al. 2022_log2FC
Description:
doi: https://doi.org/10.1101/2024.01.12.24301153. This study is a re-analysis of publicly available data and a meta-analysis investigating differential gene expression associated with opioid use disorder from Corradin et al. 2022 (PMID: 35301427); Mendez et al. 2021 (PMID: 34385598); Seney et al. 2021 (PMID: 34380600); and Sosnowski et al. 2022 (PMID:36845993 ). All four of these studies used human postmortem dorsolateral prefrontal cortex (DLPFC) brain tissue from donors identified as dying from OOD through toxicology assays administered by forensic scientists and phenotypic evidence of opioid addiction. Each of these independent studies had modest sample sizes (N = 40-153) and compared bulk RNA-seq data from individuals who died from OOD to individuals who died from non–drug use causes.
Opioid_human_dorsolateral prefrontal cortex_reanalysis of Corradin et al. 2022_qvalue
Description:
doi: https://doi.org/10.1101/2024.01.12.24301153. This study is a re-analysis of publicly available data and a meta-analysis investigating differential gene expression associated with opioid use disorder from Corradin et al. 2022 (PMID: 35301427); Mendez et al. 2021 (PMID: 34385598); Seney et al. 2021 (PMID: 34380600); and Sosnowski et al. 2022 (PMID:36845993 ). All four of these studies used human postmortem dorsolateral prefrontal cortex (DLPFC) brain tissue from donors identified as dying from OOD through toxicology assays administered by forensic scientists and phenotypic evidence of opioid addiction. Each of these independent studies had modest sample sizes (N = 40-153) and compared bulk RNA-seq data from individuals who died from OOD to individuals who died from non–drug use causes.
doi: https://doi.org/10.1101/2024.01.12.24301153. This study is a re-analysis of publicly available data and a meta-analysis investigating differential gene expression associated with opioid use disorder from Corradin et al. 2022 (PMID: 35301427); Mendez et al. 2021 (PMID: 34385598); Seney et al. 2021 (PMID: 34380600); and Sosnowski et al. 2022 (PMID:36845993 ). All four of these studies used human postmortem dorsolateral prefrontal cortex (DLPFC) brain tissue from donors identified as dying from OOD through toxicology assays administered by forensic scientists and phenotypic evidence of opioid addiction. Each of these independent studies had modest sample sizes (N = 40-153) and compared bulk RNA-seq data from individuals who died from OOD to individuals who died from non–drug use causes.
Opioid_human_dorsolateral prefrontal cortex_reanalysis of Seney et al 2021_log2FC
Description:
doi: https://doi.org/10.1101/2024.01.12.24301153. This study is a re-analysis of publicly available data and a meta-analysis investigating differential gene expression associated with opioid use disorder from Corradin et al. 2022 (PMID: 35301427); Mendez et al. 2021 (PMID: 34385598); Seney et al. 2021 (PMID: 34380600); and Sosnowski et al. 2022 (PMID:36845993 ). All four of these studies used human postmortem dorsolateral prefrontal cortex (DLPFC) brain tissue from donors identified as dying from OOD through toxicology assays administered by forensic scientists and phenotypic evidence of opioid addiction. Each of these independent studies had modest sample sizes (N = 40-153) and compared bulk RNA-seq data from individuals who died from OOD to individuals who died from non–drug use causes.
Opioid_human_dorsolateral prefrontal cortex_reanalysis of Sosnowski et al 2022_log2FC
Description:
doi: https://doi.org/10.1101/2024.01.12.24301153. This study is a re-analysis of publicly available data and a meta-analysis investigating differential gene expression associated with opioid use disorder from Corradin et al. 2022 (PMID: 35301427); Mendez et al. 2021 (PMID: 34385598); Seney et al. 2021 (PMID: 34380600); and Sosnowski et al. 2022 (PMID:36845993 ). All four of these studies used human postmortem dorsolateral prefrontal cortex (DLPFC) brain tissue from donors identified as dying from OOD through toxicology assays administered by forensic scientists and phenotypic evidence of opioid addiction. Each of these independent studies had modest sample sizes (N = 40-153) and compared bulk RNA-seq data from individuals who died from OOD to individuals who died from non–drug use causes.
Opioid_human_dorsolateral prefrontal cortex_reanalysis of Sosnowski et al 2022_qvalue
Description:
doi: https://doi.org/10.1101/2024.01.12.24301153. This study is a re-analysis of publicly available data and a meta-analysis investigating differential gene expression associated with opioid use disorder from Corradin et al. 2022 (PMID: 35301427); Mendez et al. 2021 (PMID: 34385598); Seney et al. 2021 (PMID: 34380600); and Sosnowski et al. 2022 (PMID:36845993 ). All four of these studies used human postmortem dorsolateral prefrontal cortex (DLPFC) brain tissue from donors identified as dying from OOD through toxicology assays administered by forensic scientists and phenotypic evidence of opioid addiction. Each of these independent studies had modest sample sizes (N = 40-153) and compared bulk RNA-seq data from individuals who died from OOD to individuals who died from non–drug use causes.
GeneWeaver