ArticleAlcoholism, clinical and experimental research2014
Dual-trait selection for ethanol consumption and withdrawal: genetic and transcriptional network effects.
Article in Alcoholism, clinical and experimental research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 30 citations in OpenAlex.
- Modeling Brain Gene Expression in Alcohol Use Disorder with Genetic Animal Models.Current topics in behavioral neurosciences · 2025Review
- Effects of repeated alcohol abstinence on within-subject prefrontal cortical gene expression in rhesus macaques.Advances in drug and alcohol research · 2024Article
- Modulation of neuronal excitability by binge alcohol drinking.Frontiers in molecular neuroscience · 2023Review
- Blood and brain gene expression signatures of chronic intermittent ethanol consumption in mice.PLoS computational biology · 2022Article
- Neurobehavioral and neurodevelopmental profiles of a heuristic genetic model of differential schizophrenia- and addiction-relevant features: The RHA vs. RLA rats.Neuroscience and biobehavioral reviews · 2021Review
- Kv7 Channels and Excitability Disorders.Handbook of experimental pharmacology · 2021Article
- On the Use of Heterogeneous Stock Mice to Map Transcriptomes Associated With Excessive Ethanol Consumption.Frontiers in psychiatry · 2021Review
- Article
- Affective Disruption During Forced Ethanol Abstinence in C57BL/6J and C57BL/6NJ Mice.Alcoholism, clinical and experimental research · 2020Article
- RNA-Seq Analysis of Genetic and Transcriptome Network Effects of Dual-Trait Selection for Ethanol Preference and Withdrawal Using SOT and NOT Genetic Models.Alcoholism, clinical and experimental research · 2020Article
- Scn4b regulates the hypnotic effects of ethanol and other sedative drugs.Genes, brain, and behavior · 2019Article
- Yeast two-hybrid screening identifies MPZ-1 and PTP-1 as candidate scaffolding proteins of metabotropic glutamate receptors in Caenorhabditis elegans.Invertebrate neuroscience : IN · 2018Article
- Identification and validation of midbrain Kcnq4 regulation of heavy alcohol consumption in rodents.Neuropharmacology · 2018Article
- Gender-Specific Effects of Selection for Drinking in the Dark on the Network Roles of Coding and Noncoding RNAs.Alcoholism, clinical and experimental research · 2018Article
- Regional Differences and Similarities in the Brain Transcriptome for Mice Selected for Ethanol Preference From HS-CC Founders.Frontiers in genetics · 2018Article
- On the relationships in rhesus macaques between chronic ethanol consumption and the brain transcriptome.Addiction biology · 2018Article
- Integrating Genetic and Gene Co-expression Analysis Identifies Gene Networks Involved in Alcohol and Stress Responses.Frontiers in molecular neuroscience · 2018Article
- Distinct Roles for Two Chromosome 1 Loci in Ethanol Withdrawal, Consumption, and Conditioned Place Preference.Frontiers in genetics · 2018Article
- Rat animal models for screening medications to treat alcohol use disorders.Neuropharmacology · 2017Review
- Alignment of the transcriptome with individual variation in animals selectively bred for High Drinking-In-the-Dark (HDID).Alcohol (Fayetteville, N.Y.) · 2017Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundData from C57BL/6J (B6) × DBA/2J (D2) F2 intercrosses (B6xD2 F2 ), standard and recombinant inbred strains, and heterogeneous stock mice indicate that a reciprocal (or inverse) genetic relationship exists between alcohol consumption and withdrawal severity. Furthermore, some genetic studies have detected reciprocal quantitative trait loci (QTLs) for these traits. We used a novel mouse model developed by simultaneous selection for both high alcohol consumption/low withdrawal and low alcohol consumption/high withdrawal and analyzed the gene expression and genome-wide genotypic differences.
methodsRandomly chosen third selected generation (S3 ) mice (N = 24/sex/line), bred from a B6xD2 F2 , were genotyped using the Mouse Universal Genotyping Array, which provided 2,760 informative markers. QTL analysis used a marker-by-marker strategy with the threshold for a significant log of the odds (LOD) set at 10. Gene expression in the ventral striatum was measured using the Illumina Mouse 8.2 array. Differential gene expression and the weighted gene co-expression network analysis (WGCNA) were implemented.
resultsSignificant QTLs for consumption/withdrawal were detected on chromosomes (Chr) 2, 4, 9, and 12. A suggestive QTL mapped to Chr 6. Some of the QTLs overlapped with known QTLs mapped for 1 of the traits individually. One thousand seven hundred and forty-five transcripts were detected as being differentially expressed between the lines; there was some overlap with known withdrawal genes (e.g., Mpdz) located within QTL regions. WGCNA revealed several modules of co-expressed genes showing significant effects in both differential expression and intramodular connectivity; a module richly annotated with kinase-related annotations was most affected.
conclusionsMarked effects of selection on expression and network structure were detected. QTLs overlapping with differentially expressed genes on Chr 2 (distal) and 4 suggest that these are cis-eQTLs (Chr 2: Kif3b, Kcnq2; Chr 4: Mpdz, Snapc3). Other QTLs identified were on Chr 2 (proximal), 9, and 12. Network results point to involvement of kinase-related mechanisms and outline the need for further efforts such as interrogation of noncoding RNAs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.