Identification of Functional Genetic Variants Associated With Alcohol Dependence and Related Phenotypes Using a High-Throughput Assay.
- Authors
- Thapa, Kriti S; Chen, Andy B; Lai, Dongbing; Xuei, Xiaoling; Wetherill, Leah; Tischfield, Jay A; Liu, Yunlong; Edenberg, Howard J
- Year
- 2020
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 33119910
- DOI
- 10.1111/acer.14492
- PMCID
- PMC7725989
BACKGROUND: Genome-wide association studies (GWAS) of alcohol dependence (AD) and related phenotypes have identified multiple loci, but the functional variants underlying the loci have in most cases not been identified. Noncoding variants can influence phenotype by affecting gene expression; for example, variants in the 3' untranslated regions (3'UTR) can affect gene expression posttranscriptionally. METHODS: We adapted a high-throughput assay known as PASSPORT-seq (parallel assessment of polymorphisms in miRNA target sites by sequencing) to identify among variants associated with AD and related phenotypes those that cause differential expression in neuronal cell lines. Based upon meta-analyses of alcohol-related traits in African American and European Americans in the Collaborative Study on the Genetics of Alcoholism, we tested 296 single nucleotide polymorphisms (SNPs with meta-analysis p valuesΒ β€Β 0.001) that were located in 3'UTRs. RESULTS: We identified 60 SNPs that affected gene expression (false discovery rate [FDR]Β <Β 0.05) in SH-SY5Y cells and 92 that affected expression in SK-N-BE(2) cells. Among these, 30 SNPs altered RNA levels in the same direction in both cell lines. Many of these SNPs reside in the binding sites of miRNAs and RNA-binding proteins and are expression quantitative trait loci of genes including KIF6,FRMD4A,CADM2,ADD2,PLK2, and GAS7. CONCLUSION: The SNPs identified in the PASSPORT-seq assay are functional variants that might affect the risk for AD and related phenotypes. Our study provides insights into gene regulation in AD and demonstrates the value of PASSPORT-seq as a tool to screen genetic variants in GWAS loci for one potential mechanism of action.
PASSPORT-seq results in SH-SY5Y and SK-N-BE(2) cell lines. (A) Plot of the alternative allele effect (derived from the mixed effects generalized linear model) of the SNPs in SH-SY5Y [SH] and SK-N-BE(2) [SK] cell lines. SNPs with FDR < 0.05 in both cell lines are denoted in red. (B) Alternative allele frequency and total read depth (sum of reference and alternative alleles) for a few significant SNPs of interest. SH: SH-SY5Y; SK: SK-N-BE(2); ALT: alternate; FDR: false discovery rate; alt freq: alternative allele frequency.
No entities extracted from this document yet.
No uploaded files.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AgarwalV, BellGW, NamJW, BartelDP (2015) Predicting effective microRNA target sites in mammalian mRNAs. Elife 4:e05005.10.7554/eLife.05005PMC453289526267216 | β | β | β |
| American_Psychiatric_Association (2000) Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (Text Revision), Washington, DC. | β | β | β |
| American_Psychiatric_Association (2013) Diagnostic and Statistical Manual of Mental Disorders: DSM-5, AMERICAN PSYCHIATRIC PUBLISHING. | β | β | β |
| BaroniTE, ChitturSV, GeorgeAD, TenenbaumSA (2008) Advances in RIP-chip analysis : RNA-binding protein immunoprecipitation-microarray profiling. Methods Mol Biol 419:93β108.1836997710.1007/978-1-59745-033-1_6 | β | β | β |
| BenjaminiY, HochbergY (1995) Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc B 57:289β300. | β | β | β |
| BhattacharyaA, ZiebarthJD, CuiY (2014) PolymiRTS Database 3.0: linking polymorphisms in microRNAs and their target sites with human diseases and biological pathways. Nucleic Acids Res 42:D86β91.2416310510.1093/nar/gkt1028PMC3965097 | β | β | β |
| BosiaM, PigoniA, ZagatoL, MerlinoL, CasamassimaN, LorenziC, PirovanoA, SmeraldiE, ManuntaP, CavallaroR (2016) ADDing a piece to the puzzle of cognition in schizophrenia. Eur J Med Genet 59:26β31.2672351910.1016/j.ejmg.2015.12.012 | β | β | β |
| BucholzKK, CadoretR, CloningerCR, DinwiddieSH, HesselbrockVM, NurnbergerJIJ, ReichT, SchmidtI, SchuckitMA (1994) A new semi-structured psychiatric interview for use in genetic linkage studies: A report of the reliability of the SSAGA. J.Stud.Alcohol 55:149β158.818973510.15288/jsa.1994.55.149 | β | β | β |
| BufillE, Roura-PochP, Sala-MataveraI, AntonS, LleoA, Sanchez-SaudinosB, Tomas-AbadalL, PuigT, AbosJ, BernadesS, ClarimonJ, BlesaR (2015) Reelin signaling pathway genotypes and Alzheimer disease in a Spanish population. Alzheimer Dis Assoc Disord 29:169β172.2438474610.1097/WAD.0000000000000002 | β | β | β |
| ClarkeTK, AdamsMJ, DaviesG, HowardDM, HallLS, PadmanabhanS, MurrayAD, SmithBH, CampbellA, HaywardC, PorteousDJ, DearyIJ, McIntoshAM (2017) Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117). Mol Psychiatry 22:1376β1384.2893769310.1038/mp.2017.153PMC5622124 | β | β | β |
| Collaborators GAaDU (2018) The global burden of disease attributable to alcohol and drug use in 195 countries and territories, 1990β2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Psychiatry 5:987β1012.3039273110.1016/S2215-0366(18)30337-7PMC6251968 | β | β | β |
| DeCaenPG, DellingM, VienTN, ClaphamDE (2013) Direct recording and molecular identification of the calcium channel of primary cilia. Nature 504:315β318.2433628910.1038/nature12832PMC4073646 | β | β | β |
| EdenbergHJ (2002) The collaborative study on the genetics of alcoholism: an update. Alcohol Res Health 26:214β218.12875050PMC6683843 | β | β | β |
| EdenbergHJ, ForoudT (2013) Genetics and alcoholism. Nature reviews. Gastroenterology & hepatology 10:487β494.2371231310.1038/nrgastro.2013.86PMC4056340 | β | β | β |
| EdenbergHJ, McClintickJN (2018) Alcohol Dehydrogenases, Aldehyde Dehydrogenases, and Alcohol Use Disorders: A Critical Review. Alcohol Clin Exp Res 42:2281β2297.3032089310.1111/acer.13904PMC6286250 | β | β | β |
| GelernterJ, KranzlerHR, ShervaR, AlmasyL, KoestererR, SmithAH, AntonR, PreussUW, RidingerM, RujescuD, WodarzN, ZillP, ZhaoH, FarrerLA (2014) Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci. Mol Psychiatry 19:41β49.2416640910.1038/mp.2013.145PMC4165335 | β | β | β |
| GelernterJ, SunN, PolimantiR, PietrzakRH, LeveyDF, LuQ, HuY, LiB, RadhakrishnanK, AslanM, CheungKH, LiY, RajeevanN, SaywardF, HarringtonK, ChenQ, ChoK, HonerlawJ, PyarajanS, LenczT, QuadenR, ShiY, Hunter-ZinckH, GazianoJM, KranzlerHR, ConcatoJ, ZhaoH, SteinMB, Department of Veterans Affairs Cooperative Studies P, Million VeteranP (2019) Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. Biol Psychiatry 86:365β376.3115176210.1016/j.biopsych.2019.03.984PMC6919570 | β | β | β |
| GeY, DingD, ZhuG, KwanP, WangW, HongZ, SanderJW (2020) Genetic variants in incident SUDEP cases from a community-based prospective cohort with epilepsy. J Neurol Neurosurg Psychiatry 91:126β131.3177620910.1136/jnnp-2019-321983 | β | β | β |
| GTEx_Consortium (2017) Genetic effects on gene expression across human tissues. Nature 550:204β213.2902259710.1038/nature24277PMC5776756 | β | β | β |
| HaeusslerM, ZweigAS, TynerC, SpeirML, RosenbloomKR, RaneyBJ, LeeCM, LeeBT, HinrichsAS, GonzalezJN, GibsonD, DiekhansM, ClawsonH, CasperJ, BarberGP, HausslerD, KuhnRM, KentWJ (2019) The UCSC Genome Browser database: 2019 update. Nucleic Acids Res 47:D853βD858.3040753410.1093/nar/gky1095PMC6323953 | β | β | β |
| HartAB, KranzlerHR (2015) Alcohol Dependence Genetics: Lessons Learned From Genome-Wide Association Studies (GWAS) and Post-GWAS Analyses. Alcohol Clin Exp Res 39:1312β1327.2611098110.1111/acer.12792PMC4515198 | β | β | β |
| HesselbrockM, EastonC, BucholzKK, SchuckitM, HesselbrockV (1999) A validity study of the SSAGA--a comparison with the SCAN. Addiction 94:1361β1370.1061572110.1046/j.1360-0443.1999.94913618.x | β | β | β |
| HindorffLA, SethupathyP, JunkinsHA, RamosEM, MehtaJP, CollinsFS, ManolioTA (2009) Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci U S A 106:9362β9367.1947429410.1073/pnas.0903103106PMC2687147 | β | β | β |
| IpeJ, CollinsKS, HaoY, GaoH, BhatiaP, GaedigkA, LiuY, SkaarTC (2018) PASSPORT-seq: A Novel High-Throughput Bioassay to Functionally Test Polymorphisms in Micro-RNA Target Sites. Frontiers in genetics 9:219.2996307710.3389/fgene.2018.00219PMC6013768 | β | β | β |
| KonjikusicMJ, YeetongP, BoswellCW, LeeC, RobersonEC, IttiwutR, SuphapeetipornK, CirunaB, GurnettCA, WallingfordJB, ShotelersukV, GrayRS (2018) Mutations in Kinesin family member 6 reveal specific role in ependymal cell ciliogenesis and human neurological development. PLoS Genet 14:e1007817.3047579710.1371/journal.pgen.1007817PMC6307780 | β | β | β |
| KranzlerHR, ZhouH, KemberRL, Vickers SmithR, JusticeAC, DamrauerS, TsaoPS, KlarinD, BarasA, ReidJ, OvertonJ, RaderDJ, ChengZ, TateJP, BeckerWC, ConcatoJ, XuK, PolimantiR, ZhaoH, GelernterJ (2019) Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature communications 10:1499.10.1038/s41467-019-09480-8PMC644507230940813 | β | β | β |
| LaiD, WetherillL, BertelsenS, CareyCE, KamarajanC, KapoorM, MeyersJL, AnokhinAP, BennettDA, BucholzKK, ChangKK, De JagerPL, DickDM, HesselbrockV, KramerJ, KupermanS, NurnbergerJIJr., RajT, SchuckitM, ScottDM, TaylorRE, TischfieldJ, HaririAR, EdenbergHJ, AgrawalA, BogdanR, PorjeszB, GoateAM, ForoudT (2019a) Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria. Genes Brain Behav 18:e12579.3109016610.1111/gbb.12579PMC6612573 | β | β | β |
| LaiD, WetherillL, KapoorM, JohnsonEC, SchwandtM, RamchandaniVA, GoldmanD, JoslynG, RaoX, LiuY, FarrisS, MayfieldRD, DickD, HesselbrockV, KramerJ, McCutcheonVV, NurnbergerJ, TischfieldJ, GoateA, EdenbergHJ, PorjeszB, AgrawalA, ForoudT, SchuckitM (2019b) Genome-wide association studies of the self-rating of effects of ethanol (SRE). Addict Biol:e12800.3127090610.1111/adb.12800PMC6940552 | β | β | β |
| LambertJC, Grenier-BoleyB, HaroldD, ZelenikaD, ChourakiV, KamataniY, SleegersK, IkramMA, HiltunenM, ReitzC, MateoI, FeulnerT, BullidoM, GalimbertiD, ConcariL, AlvarezV, SimsR, GerrishA, ChapmanJ, Deniz-NaranjoC, SolfrizziV, SorbiS, ArosioB, SpallettaG, SicilianoG, EpelbaumJ, HannequinD, DartiguesJF, TzourioC, BerrC, SchrijversEM, RogersR, TostoG, PasquierF, BettensK, Van CauwenbergheC, FratiglioniL, GraffC, DelepineM, FerriR, ReynoldsCA, LannfeltL, IngelssonM, PrinceJA, ChillottiC, PilottoA, SeripaD, BolandA, MancusoM, BossuP, AnnoniG, NacmiasB, BoscoP, PanzaF, Sanchez-GarciaF, Del ZompoM, CotoE, OwenM, OβDonovanM, ValdiviesoF, CaffarraP, ScarpiniE, CombarrosO, BueeL, CampionD, SoininenH, BretelerM, RiemenschneiderM, Van BroeckhovenC, AlperovitchA, LathropM, TregouetDA, WilliamsJ, AmouyelP (2013) Genome-wide haplotype association study identifies the FRMD4A gene as a risk locus for Alzheimerβs disease. Mol Psychiatry 18:461β470.2243067410.1038/mp.2012.14PMC3606943 | β | β | β |
| LeeJS, LeeY, AndreEA, LeeKJ, NguyenT, FengY, JiaN, HarrisBT, BurnsMP, PakDTS (2019) Inhibition of Polo-like kinase 2 ameliorates pathogenesis in Alzheimerβs disease model mice. PLoS One 14:e0219691.3130644610.1371/journal.pone.0219691PMC6629081 | β | β | β |
| LeeWT, ChangWH, HuangCH, WuKJ (2007) NBS1, the Nijmegen breakage syndrome gene product, regulates neuronal proliferation and differentiation. J Neurochem 102:141β152.1744205710.1111/j.1471-4159.2007.04477.x | β | β | β |
| LeeY, LeeJS, LeeKJ, TurnerRS, HoeHS, PakDTS (2017) Polo-like kinase 2 phosphorylation of amyloid precursor protein regulates activity-dependent amyloidogenic processing. Neuropharmacology 117:387β400.2825788810.1016/j.neuropharm.2017.02.027PMC5414040 | β | β | β |
| LiH Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. online]. 5β26-2013;arXiv:1303.3997. | β | β | β |
| MackenzieFE, RomeroR, WilliamsD, GillingwaterT, HiltonH, DickJ, Riddoch-ContrerasJ, WongF, IresonL, Powles-GloverN, RileyG, UnderhillP, HoughT, ArkellR, GreensmithL, RibchesterRR, BlancoG (2009) Upregulation of PKD1L2 provokes a complex neuromuscular disease in the mouse. Human Molecular Genetics 18:3553β3566.1957818010.1093/hmg/ddp304PMC2742400 | β | β | β |
| MartinM (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. 2011 17:3. | β | β | β |
| MauranoMT, HumbertR, RynesE, ThurmanRE, HaugenE, WangH, ReynoldsAP, SandstromR, QuH, BrodyJ, ShaferA, NeriF, LeeK, KutyavinT, Stehling-SunS, JohnsonAK, CanfieldTK, GisteE, DiegelM, BatesD, HansenRS, NephS, SaboPJ, HeimfeldS, RaubitschekA, ZieglerS, CotsapasC, SotoodehniaN, GlassI, SunyaevSR, KaulR, StamatoyannopoulosJA (2012) Systematic localization of common disease-associated variation in regulatory DNA. Science 337:1190β1195.2295582810.1126/science.1222794PMC3771521 | β | β | β |
| MbefoMK, PaleologouKE, BoucharabaA, OueslatiA, SchellH, FournierM, OlschewskiD, YinG, ZweckstetterM, MasliahE, KahlePJ, HirlingH, LashuelHA (2010) Phosphorylation of synucleins by members of the Polo-like kinase family. J Biol Chem 285:2807β2822.1988964110.1074/jbc.M109.081950PMC2807335 | β | β | β |
| PasmanJA, VerweijKJH, GerringZ, StringerS, Sanchez-RoigeS, TreurJL, AbdellaouiA, NivardMG, BaselmansBML, OngJS, IpHF, van der ZeeMD, BartelsM, DayFR, FontanillasP, ElsonSL, andMe ResearchT, de WitH, DavisLK, MacKillopJ, Substance Use Disorders Working Group of the Psychiatric Genomics C, International Cannabis C, DerringerJL, BranjeSJT, HartmanCA, HeathAC, van Lier PAC, MaddenPAF, MagiR, MeeusW, MontgomeryGW, OldehinkelAJ, PausovaZ, Ramos-QuirogaJA, PausT, RibasesM, KaprioJ, BoksMPM, BellJT, SpectorTD, GelernterJ, BoomsmaDI, MartinNG, MacGregorS, PerryJRB, PalmerAA, PosthumaD, MunafoMR, GillespieNA, DerksEM, VinkJM (2018) GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia. Nat Neurosci 21:1161β1170.3015066310.1038/s41593-018-0206-1PMC6386176 | β | β | β |
| RaoX, ThapaKS, ChenAB, LinH, GaoH, ReiterJL, HargreavesKA, IpeJ, LaiD, XueiX, WangY, GuH, KapoorM, FarrisSP, TischfieldJ, ForoudT, GoateAM, SkaarTC, MayfieldRD, EdenbergHJ, LiuY (2019) Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders. Mol Psychiatry.10.1038/s41380-019-0508-zPMC705040731477794 | β | β | β |
| RehmJ, ShieldKD (2019) Global Burden of Disease and the Impact of Mental and Addictive Disorders. Current psychiatry reports 21:10.3072932210.1007/s11920-019-0997-0 | β | β | β |
| ReichT, EdenbergHJ, GoateA, WilliamsJT, RiceJP, Van EerdeweghP, ForoudT, HesselbrockV, SchuckitMA, BucholzK, PorjeszB, LiTK, ConneallyPM, NurnbergerJIJr., TischfieldJA, CroweRR, CloningerCR, WuW, ShearsS, CarrK, CroseC, WilligC, BegleiterH (1998) Genome-wide search for genes affecting the risk for alcohol dependence. Am J Med Genet 81:207β215.9603606 | β | β | β |
| RietschelM, TreutleinJ (2013) The genetics of alcohol dependence. Ann N Y Acad Sci 1282:39β70.2317093410.1111/j.1749-6632.2012.06794.x | β | β | β |
| Sanchez-RoigeS, FontanillasP, ElsonSL, GrayJC, de WitH, MacKillopJ, PalmerAA (2019) Genome-Wide Association Studies of Impulsive Personality Traits (BIS-11 and UPPS-P) and Drug Experimentation in up to 22,861 Adult Research Participants Identify Loci in the CACNA1I and CADM2 genes. J Neurosci 39:2562β2572.3071832110.1523/JNEUROSCI.2662-18.2019PMC6435820 | β | β | β |
| SmithT, HegerA, SudberyI (2017) UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy. Genome Res 27:491β499.2810058410.1101/gr.209601.116PMC5340976 | β | β | β |
| StringerS, MinicaCC, VerweijKJ, MbarekH, BernardM, DerringerJ, van EijkKR, IsenJD, LoukolaA, MaciejewskiDF, MihailovE, van der MostPJ, Sanchez-MoraC, RoosL, ShervaR, WaltersR, WareJJ, AbdellaouiA, BigdeliTB, BranjeSJ, BrownSA, BruinenbergM, CasasM, EskoT, Garcia-MartinezI, GordonSD, HarrisJM, HartmanCA, HendersAK, HeathAC, HickieIB, HickmanM, HopferCJ, HottengaJJ, HuizinkAC, IronsDE, KahnRS, KorhonenT, KranzlerHR, KrauterK, van LierPA, LubkeGH, MaddenPA, MagiR, McGueMK, MedlandSE, MeeusWH, MillerMB, MontgomeryGW, NivardMG, NolteIM, OldehinkelAJ, PausovaZ, QaiserB, QuayeL, Ramos-QuirogaJA, RicharteV, RoseRJ, ShinJ, StallingsMC, StibyAI, WallTL, WrightMJ, KootHM, PausT, HewittJK, RibasesM, KaprioJ, BoksMP, SniederH, SpectorT, MunafoMR, MetspaluA, GelernterJ, BoomsmaDI, IaconoWG, MartinNG, GillespieNA, DerksEM, VinkJM (2016) Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Translational psychiatry 6:e769.2702317510.1038/tp.2016.36PMC4872459 | β | β | β |
| VaronR, VissingaC, PlatzerM, CerosalettiKM, ChrzanowskaKH, SaarK, BeckmannG, SeemanovaE, CooperPR, NowakNJ, StummM, WeemaesCM, GattiRA, WilsonRK, DigweedM, RosenthalA, SperlingK, ConcannonP, ReisA (1998) Nibrin, a novel DNA double-strand break repair protein, is mutated in Nijmegen breakage syndrome. Cell 93:467β476.959018010.1016/s0092-8674(00)81174-5 | β | β | β |
| WaltersRK, PolimantiR, JohnsonEC, McClintickJN, AdamsMJ, AdkinsAE, AlievF, BacanuSA, BatzlerA, BertelsenS, BiernackaJM, BigdeliTB, ChenLS, ClarkeTK, ChouYL, DegenhardtF, DochertyAR, EdwardsAC, FontanillasP, FooJC, FoxL, FrankJ, GieglingI, GordonS, HackLM, HartmannAM, HartzSM, Heilmann-HeimbachS, HermsS, HodgkinsonC, HoffmannP, Jan HottengaJ, KennedyMA, Alanne-KinnunenM, KonteB, LahtiJ, Lahti-PulkkinenM, LaiD, LigthartL, LoukolaA, MaherBS, MbarekH, McIntoshAM, McQueenMB, MeyersJL, MilaneschiY, PalviainenT, PearsonJF, PetersonRE, RipattiS, RyuE, SacconeNL, SalvatoreJE, Sanchez-RoigeS, SchwandtM, ShervaR, StreitF, StrohmaierJ, ThomasN, WangJC, WebbBT, WedowR, WetherillL, WillsAG, andMe ResearchT, BoardmanJD, ChenD, ChoiDS, CopelandWE, CulverhouseRC, DahmenN, DegenhardtL, DomingueBW, ElsonSL, FryeMA, GabelW, HaywardC, IsingM, KeyesM, KieferF, KramerJ, KupermanS, LucaeS, LynskeyMT, MaierW, MannK, MannistoS, Muller-MyhsokB, MurrayAD, NurnbergerJI, PalotieA, PreussU, RaikkonenK, ReynoldsMD, RidingerM, ScherbaumN, SchuckitMA, SoykaM, TreutleinJ, WittS, WodarzN, ZillP, AdkinsDE, BodenJM, BoomsmaDI, BierutLJ, BrownSA, BucholzKK, CichonS, CostelloEJ, de WitH, DiazgranadosN, DickDM, ErikssonJG, FarrerLA, ForoudTM, GillespieNA, GoateAM, GoldmanD, GruczaRA, HancockDB, HarrisKM, HeathAC, HesselbrockV, HewittJK, HopferCJ, HorwoodJ, IaconoW, JohnsonEO, KaprioJA, KarpyakVM, KendlerKS, KranzlerHR, KrauterK, LichtensteinP, LindPA, McGueM, MacKillopJ, MaddenPAF, MaesHH, MagnussonP, MartinNG, MedlandSE, MontgomeryGW, NelsonEC, NothenMM, PalmerAA, PedersenNL, PenninxB, PorjeszB, RiceJP, RietschelM, RileyBP, RoseR, RujescuD, ShenPH, SilbergJ, StallingsMC, TarterRE, VanyukovMM, VriezeS, WallTL, WhitfieldJB, ZhaoH, NealeBM, GelernterJ, EdenbergHJ, AgrawalA (2018) Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci 21:1656β1669.3048294810.1038/s41593-018-0275-1PMC6430207 | β | β | β |
| WangL, LuY, DengS, ZhangY, YangL, GuanY, MatozakiT, OhnishiH, JiangH, LiH (2012) SHPS-1 deficiency induces robust neuroprotection against experimental stroke by attenuating oxidative stress. Journal of Neurochemistry 122:834β843.2267156910.1111/j.1471-4159.2012.07818.x | β | β | β |
| WetherillL, LaiD, JohnsonEC, AnokhinA, BauerL, BucholzKK, DickDM, HaririAR, HesselbrockV, KamarajanC, KramerJ, KupermanS, MeyersJL, NurnbergerJIJr., SchuckitM, ScottDM, TaylorRE, TischfieldJ, PorjeszB, GoateAM, EdenbergHJ, ForoudT, BogdanR, AgrawalA (2019) Genome-wide association study identifies loci associated with liability to alcohol and drug dependence that is associated with variability in reward-related ventral striatum activity in African- and European-Americans. Genes Brain Behav 18:e12580.3109917510.1111/gbb.12580PMC6726116 | β | β | β |
| YoonD, KimYJ, CuiWY, Van der VaartA, ChoYS, LeeJY, MaJZ, PayneTJ, LiMD, ParkT (2012) Large-scale genome-wide association study of Asian population reveals genetic factors in FRMD4A and other loci influencing smoking initiation and nicotine dependence. Hum Genet 131:1009β1021.2200621810.1007/s00439-011-1102-xPMC4275569 | β | β | β |
| ZhouFC, ZhaoQ, LiuY, GoodlettCR, LiangT, McClintickJN, EdenbergHJ, LiL (2011) Alteration of gene expression by alcohol exposure at early neurulation. BMC Genomics 12:124.2133852110.1186/1471-2164-12-124PMC3056799 | β | β | β |
| ZhouH, SealockJM, Sanchez-RoigeS, ClarkeT-K, LeveyD, ChengZ, LiB, PolimantiR, KemberRL, SmithRV, ThygesenJH, MorganMY, AtkinsonSR, ThurszMR, NyegaardM, MattheisenM, BΓΈrglumAD, JohnsonEC, JusticeAC, PalmerAA, McQuillinA, DavisLK, EdenbergHJ, AgrawalA, KranzlerHR, GelernterJ (2020) Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. Nat Neurosci. 2020;23(7):809β18.3245148610.1038/s41593-020-0643-5PMC7485556 | β | β | β |
No papers in this knowledge base cite this source.
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| 5. Collaborative Study on the Genetics of Alcoholism: Functional genomics. | Gameiro-Ros I et al. | β | 2023 | β |
| Functional roles, regulatory mechanisms and theranostics applications of ncRNAs in alcohol use disorder. | Wang JQ et al. | β | 2023 | β |
| Genetic insights into the neurobiology of anxiety. | Koskinen MK et al. | β | 2023 | β |
| Optimized splitting of mixed-species RNA sequencing data. | Song X et al. | β | 2022 | β |
| Perspective on Beyond Statistical Significance: Finding Meaningful Effects. | Edenberg HJ | β | 2021 | β |