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 HIV-1 viral setpoint. The EFO term HIV viral set point measurement 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:
JR Lingappa, S Petrovski, E Kahle, J Fellay, K Shianna, MJ McElrath, KK Thomas, JM Baeten, C Celum, A Wald, G de Bruyn, JI Mullins, E Nakku-Joloba, C Farquhar, M Essex, D Donnell, J Kiarie, B Haynes, D Goldstein
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Low-set, posteriorly rotated ears", which is defined as "Ears that are low-set (HP:0000369) and posteriorly rotated (HP:0000358)." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
Fold change of the 74 common differentially expressed probe sets between LIMMA analysis in cohort A and LIMMA analysis in cohort B
Authors:
Arijs I, Li K, Toedter G, Quintens R, Van Lommel L, Van Steen K, Leemans P, De Hertogh G, Lemaire K, Ferrante M, Schnitzler F, Thorrez L, Ma K, Song XY, Marano C, Van Assche G, Vermeire S, Geboes K, Schuit F, Baribaud F, Rutgeerts P
GWAS: HIV-1 infection, HIV viral set point measurement
Description:
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 Setpoint viral load in HIV-1 infection. The EFO term HIV-1 infection, HIV viral set point measurement 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:
PJ McLaren, C Coulonges, I Bartha, TL Lenz, AJ Deutsch, A Bashirova, S Buchbinder, MN Carrington, A Cossarizza, J Dalmau, A De Luca, JJ Goedert, D Gurdasani, DW Haas, JT Herbeck, EO Johnson, GD Kirk, O Lambotte, M Luo, S Mallal, D van Manen, J Martinez-Picado, L Meyer, JM Miro, JI Mullins, N Obel, G Poli, MS Sandhu, H Schuitemaker, PR Shea, I Theodorou, BD Walker, AC Weintrob, CA Winkler, SM Wolinsky, S Raychaudhuri, DB Goldstein, A Telenti, PI de Bakker, JF Zagury, J Fellay
GWAS: HIV-1 infection, HIV viral set point measurement
Description:
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 HIV-1 viral setpoint. The EFO term HIV-1 infection, HIV viral set point measurement 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:
Z Wei, Y Liu, H Xu, K Tang, H Wu, L Lu, Z Wang, Z Chen, J Xu, Y Zhu, L Hu, H Shang, G Zhao, X Kong
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Deeply set eye", which is defined as "An eye that is more deeply recessed into the plane of the face than is typical." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Abnormality of the musculature", which is defined as "Abnormality originating in one or more muscles, i.e., of the set of muscles of body." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Low-set ears", which is defined as "Upper insertion of the ear to the scalp below an imaginary horizontal line drawn between the inner canthi of the eye and extending posteriorly to the ear." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Deep-set nails", which is defined as "Deeply placed nails." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Low-set nipples", which is defined as "Placement of the nipples at a lower than normal location." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
The production of 12 out of 27 measured factors was induced by CEsHUT including IL-1β, TNF and IL-1Ra. In contrast to sIL-1Ra production, that of IL-1β and TNF was inhibited by HDL, corroborating previous results. In addition, CEsHUT induced monocytes to produce factors involved in their localization, survival and differentiation such as CCL5 (RANTES), CCL2 (MCP-1), interferon-γ (IFNγ), granulocyte-macrophage colony-stimulating factor (GM-CSF), and macrophage-CSF (M-CSF). The production of the latter was moderate and it was not affected by HDL.
Authors:
Gruaz L, Delucinge-Vivier C, Descombes P, Dayer JM, Burger D
Since HDL preparations may contain several particle subpopulations, we first ascertained that the inhibitory activity of the HDL preparation used in this study was due to apo A–I. As shown in Figure 1Figure 1, the inhibitory activity of HDL was reversed in a dose-dependent manner by antibodies to apo A–I. Antibodies to apo A–I alone did not affect IL-1β and TNF production by human monocytes. Similarly, they did not change CEsHUT-induced production of IL-1β or TNF in the absence of HDL.
Authors:
Gruaz L, Delucinge-Vivier C, Descombes P, Dayer JM, Burger D
Genome-wide association studies are conducted of two human cohorts, one group demonstrating nicotine dependence and another successfully quitting smoking. Study shows that some genetic components associated with the ability to quit overlap while many do not overlap. To perform the study, DNA samples were obtained from NIH volunteers and the allelic frequencies of the samples were analyzed using Affymetrix array analysis. This gene set comprises 290 genes associated with nicotine dependence.
Authors:
Drgon T, Montoya I, Johnson C, Liu QR, Walther D, Hamer D, Uhl GR
Gene set has 67 genes associated with nicotine abstinence. Backgound: In this study, genome-wide association studies are conducted for two human cohorts, one group demonstrating nicotine dependence, and another that successfully quit smoking. The study shows that some genetic components associated with ability to quit overlap while many do not. To perform the study, DNA samples were obtained from NIH volunteers and allelic frequencies of the samples were analyzed using Affymetrix array analysis. Table S2.
Authors:
Drgon T, Montoya I, Johnson C, Liu QR, Walther D, Hamer D, Uhl GR
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "SET domain binding", which is defined as "Interacting selectively and non-covalently with a SET domain of a protein. SET domains are named after three Drosophila proteins that contain this domain: Su(var), E(z) and trithorax. SET domains are associated with histone lysine methylation." 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. 0.2.8.
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 "SET domain binding", which is defined as "Interacting selectively and non-covalently with a SET domain of a protein. SET domains are named after three Drosophila proteins that contain this domain: Su(var), E(z) and trithorax. SET domains are associated with histone lysine methylation." 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. 0.2.8.
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
Using results from genome wide association studies of nicotine dependent individuals who were successful in abstaining from cigarette smoking, study nominates genes important in nicotine dependence and in smoking cessation. Results were obtained using SNP allele frequency assessments of DNA prepared from nicotine-dependent European-American smoking cessation trial participants and control individuals. This Gene set comprises the 55 nicotine dependence genes found.
Authors:
Uhl GR, Liu QR, Drgon T, Johnson C, Walther D, Rose JE
Gene set comprises 32 smoking cessation genes. Background: Using results from genome wide association studies of nicotine dependent individuals who were successful in abstaining from cigarette smoking, study nominates genes important in nicotine dependence and in smoking cessation. Results were obtained using SNP allele frequency assessments of DNA prepared from nicotine-dependent European-American smoking cessation trial participants and control individuals.
Authors:
Uhl GR, Liu QR, Drgon T, Johnson C, Walther D, Rose JE
Expression analysis of cingulate cortex and amygdala reveals a set of long-term up-regulated transcripts in this model. Here lists the gene expression changes 3 wk after termination of 7 wk of intermittent ethanol exposure. Fold change values are ethanol exposed vs. control rats. From Rimondini et al., 2002.
Real-time RT-PCR measurements of gene expression were carried out with a set of 14 genes (Table 1) on three separate T-cell cultures. Polarized (day 14 cells) CD4+ Th1 or Th2 cells were triggered with antibodies for CD3 and CD28 for 2, 6 or 24 hours and gene expression was quantitated (Figure (Figure3).3Figure 3). During the time course of activation a general trend of downregulation of transcription was observed in the genes studied. The expression of a housekeeping gene, however, was unaffect
None - Basal gene expression profiles between C57BL/6J, DBA/2J, 129P3/J, and SWR/J strains DNA microarray Change in gene expression Two-way analysis of variance (ANOVA). 3,457 probe sets (corresponded to 2,870 different transcripts) with significant inter-strain differences (differ by at least 1.2-fold) - False discovery rate [FDR] < 1%, , rank > 3. Such a large disparity in the mouse striatal transcriptome was estimated by comparing nine array replicates prepared per strain from all of the treatment groups. More than half of the identified probe sets exhibited markedly significant results (1,735 with rank > 7). (NIF Method ID 84.1)
Authors:
Korostynski M, Piechota M, Kaminska D, Solecki W, Przewlocki R
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 Testicular germ cell tumor. The EFO term Testicular Germ Cell Tumor 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:
W Kristiansen, R Karlsson, TB Rounge, T Whitington, BK Andreassen, PK Magnusson, SD Fosså, HO Adami, C Turnbull, TB Haugen, T Grotmol, F Wiklund
This study used the Python scikit-learn machine learning library to train a logistic regression model to predicy the pathogenicity of missense variants from clinical panels. Variants were classified by two clinical labs using standard variant interpretation protocols from ACMG/AMP guidelines. For this gene set a subset of epilepsy dominant genes were also considered. These genes account for a large number of epilepsy pathogenic variants and because they follow a dominant inheritance pattern, may have distinct characteristics impacting variant prediction relative to all other epilepsy genes. All genes in this gene set were cross-checked with HGNC.
Authors:
Perry Evans, Chao Wu, Amanda Lindy, Dianalee A McKnight, Matthew Lebo, Mahdi Sarmady, Ahmad N Abou Tayoun
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Cardiac myxoma", which is defined as "A myxoma (tumor of primitive connective tissue) of the heart. Cardiac myxomas consist of stellate to plump, cytologically bland mesenchymal cells set in a myxoid stroma. Cardiac myxomas are of endocardial origina and general project from the endocardium into a cardiac chamber." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
Human Phenotype Ontology (HPO) gene set. This set contains genes that have been annotated to the HPO term "Abnormal eye morphology", which is defined as "A structural anomaly of the globe of the eye, or bulbus oculi." This gene set was automatically constructed using annotation and ontology data provided by HPO and includes gene-phenotypes annotations from all HPO sources. The transitive closure of this term is taken into account using is_a relationships. For more information: The Human Phenotype Ontology Consortium (HPOC), http://human-phenotype-ontology.org This gene set was generated using the GeneWeaver HPO loader v. 0.1.5, HPO OBO v. hp/releases/2020-03-27, and HPO Genes to Phenotypes (all sources, all frequencies) v. 2020.05.06.
Authors:
S Köhler, SC Doelken, CJ Mungall, S Bauer, HV Firth, I Bailleul-Forestier, GC Black, DL Brown, M Brudno, J Campbell, DR FitzPatrick, JT Eppig, AP Jackson, K Freson, M Girdea, I Helbig, JA Hurst, J Jähn, LG Jackson, AM Kelly, DH Ledbetter, S Mansour, CL Martin, C Moss, A Mumford, WH Ouwehand, SM Park, ER Riggs, RH Scott, S Sisodiya, S Van Vooren, RJ Wapner, AO Wilkie, CF Wright, AT Vulto-van Silfhout, N de Leeuw, BB de Vries, NL Washingthon, CL Smith, M Westerfield, P Schofield, BJ Ruef, GV Gkoutos, M Haendel, D Smedley, SE Lewis, PN Robinson
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