Literature DB >> 24923803

Identification of a QTL in Mus musculus for alcohol preference, withdrawal, and Ap3m2 expression using integrative functional genomics and precision genetics.

Jason A Bubier1, Jeremy J Jay1, Christopher L Baker1, Susan E Bergeson2, Hiroshi Ohno3, Pamela Metten4, John C Crabbe4, Elissa J Chesler5.   

Abstract

Extensive genetic and genomic studies of the relationship between alcohol drinking preference and withdrawal severity have been performed using animal models. Data from multiple such publications and public data resources have been incorporated in the GeneWeaver database with >60,000 gene sets including 285 alcohol withdrawal and preference-related gene sets. Among these are evidence for positional candidates regulating these behaviors in overlapping quantitative trait loci (QTL) mapped in distinct mouse populations. Combinatorial integration of functional genomics experimental results revealed a single QTL positional candidate gene in one of the loci common to both preference and withdrawal. Functional validation studies in Ap3m2 knockout mice confirmed these relationships. Genetic validation involves confirming the existence of segregating polymorphisms that could account for the phenotypic effect. By exploiting recent advances in mouse genotyping, sequence, epigenetics, and phylogeny resources, we confirmed that Ap3m2 resides in an appropriately segregating genomic region. We have demonstrated genetic and alcohol-induced regulation of Ap3m2 expression. Although sequence analysis revealed no polymorphisms in the Ap3m2-coding region that could account for all phenotypic differences, there are several upstream SNPs that could. We have identified one of these to be an H3K4me3 site that exhibits strain differences in methylation. Thus, by making cross-species functional genomics readily computable we identified a common QTL candidate for two related bio-behavioral processes via functional evidence and demonstrate sufficiency of the genetic locus as a source of variation underlying two traits.
Copyright © 2014 by the Genetics Society of America.

Entities:  

Keywords:  behavioral genetics; complex traits; data integration

Mesh:

Substances:

Year:  2014        PMID: 24923803      PMCID: PMC4125407          DOI: 10.1534/genetics.114.166165

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  80 in total

Review 1.  The genetic basis of alcoholism: multiple phenotypes, many genes, complex networks.

Authors:  Tatiana V Morozova; David Goldman; Trudy F C Mackay; Robert R H Anholt
Journal:  Genome Biol       Date:  2012-02-20       Impact factor: 13.583

Review 2.  The genetics of substance dependence.

Authors:  Jen-Chyong Wang; Manav Kapoor; Alison M Goate
Journal:  Annu Rev Genomics Hum Genet       Date:  2012-06-11       Impact factor: 8.929

3.  Chloride intracellular channels modulate acute ethanol behaviors in Drosophila, Caenorhabditis elegans and mice.

Authors:  P Bhandari; J S Hill; S P Farris; B Costin; I Martin; C-L Chan; J T Alaimo; J C Bettinger; A G Davies; M F Miles; M Grotewiel
Journal:  Genes Brain Behav       Date:  2012-01-28       Impact factor: 3.449

Review 4.  Translational behaviour-genetic studies of alcohol: are we there yet?

Authors:  J C Crabbe
Journal:  Genes Brain Behav       Date:  2012-05-10       Impact factor: 3.449

Review 5.  Genetic influences on the development of alcoholism.

Authors:  Mary-Anne Enoch
Journal:  Curr Psychiatry Rep       Date:  2013-11       Impact factor: 5.285

6.  H3K4me3 interactions with TAF3 regulate preinitiation complex assembly and selective gene activation.

Authors:  Shannon M Lauberth; Takahiro Nakayama; Xiaolin Wu; Andrea L Ferris; Zhanyun Tang; Stephen H Hughes; Robert G Roeder
Journal:  Cell       Date:  2013-02-28       Impact factor: 41.582

7.  Quantitative trait loci for sensitivity to ethanol intoxication in a C57BL/6J×129S1/SvImJ inbred mouse cross.

Authors:  Elissa J Chesler; Aaron Plitt; Daniel Fisher; Benita Hurd; Lauren Lederle; Jason A Bubier; Carly Kiselycznyk; Andrew Holmes
Journal:  Mamm Genome       Date:  2012-02-28       Impact factor: 2.957

8.  PRDM9 binding organizes hotspot nucleosomes and limits Holliday junction migration.

Authors:  Christopher L Baker; Michael Walker; Shimpei Kajita; Petko M Petkov; Kenneth Paigen
Journal:  Genome Res       Date:  2014-03-06       Impact factor: 9.043

9.  Convergent functional genomic studies of ω-3 fatty acids in stress reactivity, bipolar disorder and alcoholism.

Authors:  H Le-Niculescu; N J Case; L Hulvershorn; S D Patel; D Bowker; J Gupta; R Bell; H J Edenberg; M T Tsuang; R Kuczenski; M A Geyer; Z A Rodd; A B Niculescu
Journal:  Transl Psychiatry       Date:  2011-04-26       Impact factor: 6.222

10.  Inferring nucleosome positions with their histone mark annotation from ChIP data.

Authors:  Alessandro Mammana; Martin Vingron; Ho-Ryun Chung
Journal:  Bioinformatics       Date:  2013-08-26       Impact factor: 6.937

View more
  10 in total

Review 1.  Progress With Nonhuman Animal Models of Addiction.

Authors:  John C Crabbe
Journal:  J Stud Alcohol Drugs       Date:  2016-09       Impact factor: 2.582

2.  Quantitative Trait Locus and Integrative Genomics Revealed Candidate Modifier Genes for Ectopic Mineralization in Mouse Models of Pseudoxanthoma Elasticum.

Authors:  Qiaoli Li; Vivek M Philip; Timothy M Stearns; Jason A Bubier; Benjamin L King; Benjamin E Low; Michael V Wiles; Amir Hossein Saeidian; Beth A Sundberg; Jouni Uitto; John P Sundberg
Journal:  J Invest Dermatol       Date:  2019-06-15       Impact factor: 8.551

3.  Effects of selection for ethanol preference on gene expression in the nucleus accumbens of HS-CC mice.

Authors:  A M Colville; O D Iancu; D L Oberbeck; P Darakjian; C L Zheng; N A R Walter; C A Harrington; R P Searles; S McWeeney; R J Hitzemann
Journal:  Genes Brain Behav       Date:  2017-02-09       Impact factor: 3.449

4.  Genetic and genomic signatures in ethanol withdrawal seizure-prone and seizure-resistant mice implicate genes involved in epilepsy and neuronal excitability.

Authors:  Zhifeng Zhou; Pamela Metten; Qiaoping Yuan; Hui Sun; Colin A Hodgkinson; Pei-Hong Shen; Cheryl Marietta; John C Crabbe; David Goldman
Journal:  Mol Psychiatry       Date:  2022-10-05       Impact factor: 13.437

Review 5.  Shaping vulnerability to addiction - the contribution of behavior, neural circuits and molecular mechanisms.

Authors:  Gabor Egervari; Roberto Ciccocioppo; J David Jentsch; Yasmin L Hurd
Journal:  Neurosci Biobehav Rev       Date:  2017-05-29       Impact factor: 8.989

6.  GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data.

Authors:  Jason A Bubier; Charles A Phillips; Michael A Langston; Erich J Baker; Elissa J Chesler
Journal:  Mamm Genome       Date:  2015-06-20       Impact factor: 2.957

Review 7.  Reproducibility and replicability of rodent phenotyping in preclinical studies.

Authors:  Neri Kafkafi; Joseph Agassi; Elissa J Chesler; John C Crabbe; Wim E Crusio; David Eilam; Robert Gerlai; Ilan Golani; Alex Gomez-Marin; Ruth Heller; Fuad Iraqi; Iman Jaljuli; Natasha A Karp; Hugh Morgan; George Nicholson; Donald W Pfaff; S Helene Richter; Philip B Stark; Oliver Stiedl; Victoria Stodden; Lisa M Tarantino; Valter Tucci; William Valdar; Robert W Williams; Hanno Würbel; Yoav Benjamini
Journal:  Neurosci Biobehav Rev       Date:  2018-01-31       Impact factor: 9.052

8.  Collaborative Cross and Diversity Outbred data resources in the Mouse Phenome Database.

Authors:  Molly A Bogue; Gary A Churchill; Elissa J Chesler
Journal:  Mamm Genome       Date:  2015-08-19       Impact factor: 2.957

9.  Discovery of a Role for Rab3b in Habituation and Cocaine Induced Locomotor Activation in Mice Using Heterogeneous Functional Genomic Analysis.

Authors:  Jason A Bubier; Vivek M Philip; Price E Dickson; Guy Mittleman; Elissa J Chesler
Journal:  Front Neurosci       Date:  2020-07-09       Impact factor: 4.677

10.  Shared Genomic Regions Underlie Natural Variation in Diverse Toxin Responses.

Authors:  Kathryn S Evans; Shannon C Brady; Joshua S Bloom; Robyn E Tanny; Daniel E Cook; Sarah E Giuliani; Stephen W Hippleheuser; Mostafa Zamanian; Erik C Andersen
Journal:  Genetics       Date:  2018-10-19       Impact factor: 4.562

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.