cocaine related behavior 14 (Cocrb14) spans 43.765096 - 93.765096 Mbp (NCBI Build 37) on Chr 15. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
QTL for METH responses for home cage activity on Chr15 at D15Mit7 (36.50 Mbp , Build 37)
Description:
METH responses for home cage activity spans 11.50 - 61.50 Mbp (NCBI Build 37) on Chr15. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for alcohol acceptance on Chr15 at D15Mit60 (57.48 Mbp , Build 37)
Description:
alcohol acceptance spans 32.48 - 82.48 Mbp (NCBI Build 37) on Chr15. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
McClearn GE, Tarantino LM, Rodriguez LA, Jones BC, Blizard DA, Plomin R
QTL for cocaine related behavior on Chr15 at D15Mit3 (83.88 Mbp , Build 37)
Description:
cocaine related behavior spans 58.88 - 108.88 Mbp (NCBI Build 37) on Chr15. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Acute and chronic alcohol exposure was analyzed in 534 (C57BL/6J x C3H/HeJ)F2 mice. Behavioral testing was done using 5 traits, acute drug effect, forced ethanol drinking, withdrawal studies ethanol preference and stress induced ethanol drinking. The following QTL were found in a genome wide scan: Following the QTL is the Chromosome , cM location, and LOD score, Eih1 (Chr 1, 85 cM, LOD 6.6), Eih2 (Chr 7, 10 cM, LOD 3.6), Ceih1 (Chr 3, 55 cM, LOD 4.1), Ceih2 (Chr 6, 24.7 cM, LOD 4.1), Ceih3 (Chr 13, 39 cM, LOD 4.1), Eia1(Chr 1, 65 cM, LOD 10.3 and 10.4), Eiwa1 (Chr 7, 50 cM, LOD 4.4), Eiwa2(Chr 11, 43.1 cM, LOD 4.1),Aldd1(Chr 5, 42 cM, LOD 13.2), Aldd2(Chr 12, 18 cM, LOD 5.3),Eiwax1(Chr 1, 79 cM, LOD 6.5), Eiwax2(Chr 5, 59 cM, LOD 15.0), Eiwax3(Chr 12, 21 cM, LOD 3.6), Methp1(Chr 16, 31.4 cM, LOD 4.3), Mec1(Chr 16, 19.4 cM, LOD 5.1), Epbs1(Chr 16, 33 cM, LOD 4.1), Ecbs1(Chr 16, 29.4 cM, LOD 4.8), Mec2(Chr 1, 109 cM, LOD 3.9), Mec3(Chr 2, 109 cM, LOD 4.3), Mec4(Chr 5, 29 cM, LOD 3.9), Mec5(Chr 10, 2 cM, LOD 5.0), Mec6(Chr 15, 49 cM, LOD 5.2, 95% CI 6.7–56.7).
Authors:
Drews E, Rcz I, Lacava AD, Barth A, Bilkei-Gorz A, Wienker TF, Zimmer A
Ethanol Preference from BXD lines span 58586243-108586243. This interval was obtained by using an arbitrary interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org). Marker Loci associated with 10% Ethanol Preferences Drinking at p<0.05 (Two Tailed) in the BXD RI set and the Correlation Coefficient, p and Estimated LOD. D15Mit33 (83586243 NCBI 37) p=0.05, LOD=0.08 overall LOD BXD & Select Line 2.4.
QTL for Voluntary Ethanol Consumption on LS x SS RI lines spans 43765164-93765164 .This interval was obtained by using an arbitrary interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org). Chr 15 D15Mit3 39 cM VEC (females) 0.02
In the present study Aaq1, a previously mapped QTL on mouse Chromosome 15 linked to alcohol acceptance, is confirmed using a (C57BL/6J x DBA/2J)F2 population. Aaq1 mapped to 15 cM (D15Mit60)- 48 cM (D15Mit34) on mouse Chromosome 15 with a peak LOD score of 3.8 at approximately 30 cM. C57BL/6J-derived alleles confer increased alcohol acceptance in a dominant fashion at Aaq1. A potential candidate gene for Aaq1 is the peripheral benzodiazepine receptor gene, Bzrp.
Authors:
McClearn GE, Tarantino LM, Rodriguez LA, Jones BC, Blizard DA, Plomin R
QTL mapping results for B6D2F2 mice in regions provisionally identified in BXD RI mice for free-choice ethanol consumption. Peak D15Mit33 58586243-108586243. This interval was obtained by using an arbitrary interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org)
Analysis of 2 Lore5 interval specific congenic strains (ISCS) excluded Mapk8ip as a candidate gene for Lore5. The Lore5 interval appears to be localized between D15Mit94 (29 cM) and D15Mit93 (43.7).
Authors:
Ehringer MA, Thompson J, Conroy O, Yang F, Hink R, Bennett B, Johnson TE, Sikela JM
Genes with particular expression in the Lateral visual area, layer 5. Data represent fold expression difference in structure versus grey matter average expression.
Here, female High Drinking in the Dark (HDID) mice were stereotaxically injected with 0.5uL rAAV2/5-CMV-Cre-GFP and 0.5uL rAAV2-hSyn-DIO-hM3Dq-mCherry bilaterally into the NAc. A Drinking in the Dark (DID) experiment lasting 6 weeks was carried out with 2 fluid groups (water or ethanol) and 2 treatment groups (VEH/VEH/VEH or VEH/CNO/VEH). Mice were serially treated with vehicle prior to DID during week 1 to establish baseline drinking, CNO (1mg/kg) during weeks 2-5 to measure the effects of chronic treatment, and then mice were treated with vehicle again during week 6 to determine if there were any lasting effects of chronic CNO treatment. This gene set comprises 2,377 genes that were differentially expressed in the nucleus accumbens of ethanol drinking HDID mice treated with CNO as compared to the water drinking and vehicle treated control group.
Authors:
Darya Y. Pozhidayeva, Sean P. Farris, Calla M. Goeke, Evan J. Firsick, Kayla G. Townsley, Marina Guizzetti, and Angela R. Ozburn
Transcriptomic analysis of gene expression in the nucleus accumbens somatostatin interneurons of male 8�12-week-old Sst-Cre mice or Sst-Cre x TLG498 (SST-TLG498) mice following repeated cocaine intake. Expression was measured via RNA-seq. Values presented are p-values. Data taken from Supplementary Data 1. Data can be accessed at GEO with accession number: GSE116484.A7
Authors:
Efrain A Ribeiro, Marine Salery, Joseph R Scarpa, Erin S Calipari, Peter J Hamilton, Stacy M Ku, Hope Kronman, Immanuel Purushothaman, Barbara Juarez, Mitra Heshmati, Marie Doyle, Casey Lardner, Dominicka Burek, Ana Strat, Stephen Pirpinias, Ezekiell Mouzon, Ming-Hu Han, Rachael L Neve, Rosemary C Bagot, Andrew Kasarskis, Ja Wook Koo, Eric J Nestler
Genes that are differentially expressed in adult male C57BL/6J mice given chronic cocaine vs. chronic saline. Tissue was collected from the ventral tegmental area (VTA) of the brain. Gene expression was evaluated via RNA-seq, and differential gene expression was determined via linear regression (LR).D13 Values presented are p-values. Data taken from Supplementary Table 1. Data available from GEO with accession number GSE155313."
Authors:
Rianne R Campbell, Siwei Chen, Joy H Beardwood, Alberto J López, Lilyana V Pham, Ashley M Keiser, Jessica E Childs, Dina P Matheos, Vivek Swarup, Pierre Baldi, Marcelo A Wood
640 Diversity Outbred (DO) mice were exposed to 4 weeks of intermittent ethanol access (IEA) via 3-bottle choice (H20, 15% EtOH, 30% EtOH). 200 prefrontal cortex (PFC) samples were sent for RNA-seq. After QC and GBRS alignment, Pearson correlations were calculated for all genes with variant-stabilized transcript counts >1 and whole study mean ethanol consumption. This gene set provides the list of genes for which FDR-corrected p-values < 0.05 and their Pearson correlation scores.
640 Diversity Outbred (DO) mice were exposed to 4 weeks of intermittent ethanol access (IEA) via 3-bottle choice (H20, 15% EtOH, 30% EtOH). 200 prefrontal cortex (PFC) samples were sent for RNA-seq. After QC and GBRS alignment, Pearson correlations were calculated for all genes with variant-stabilized transcript counts >1 and week four mean ethanol consumption. This gene set provides the list of genes for which FDR-corrected p-values < 0.05 and their Pearson correlation scores.
640 Diversity Outbred (DO) mice were exposed to 4 weeks of intermittent ethanol access (IEA) via 3-bottle choice (H20, 15% EtOH, 30% EtOH). 200 prefrontal cortex (PFC) samples were sent for RNA-seq. After QC and GBRS alignment, Pearson correlations were calculated for all genes with variant-stabilized transcript counts >1 and week four mean ethanol preference over water. This gene set provides the list of genes for which FDR-corrected p-values < 0.05 and their Pearson correlation scores.
Genes identified as expressed higher (up) in the AJ strain than in the NOD strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed higher (up) in the AJ strain than in the NOD strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed higher (up) in the AJ strain than in the NOD strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed higher (up) in the AJ strain than in the NOD strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed higher (up) in the AJ strain than in the NZO strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed lower (down) in the AJ strain than in the CAST strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Authors:
Add Selected GeneSets to Project(s)
Warning: You are not signed in. Adding these genesets to a project will create a guest account for you.
Guest accounts are temporary, and will be removed within 24 hours of creation. Guest accounts can be registered as full accounts, but you cannot associate a guest account with an existing account.
If you already have an account, you should sign into that account before proceeding.