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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2004 3
2005 24
2006 4
2007 4
2008 20
2009 30
2010 59
2011 56
2012 58
2013 71
2014 61
2015 62
2016 61
2017 71
2018 57
2019 53
2020 10
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569 results
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Page 1
Alcohol addiction: a molecular biology perspective.
Ferraguti G, Pascale E, Lucarelli M. Ferraguti G, et al. Curr Med Chem. 2015;22(6):670-84. doi: 10.2174/0929867321666141229103158. Curr Med Chem. 2015. PMID: 25544474 Review.
The molecular approach to the study of these aspects could be difficult because of the large number of genes and variations involved. ...The indications provided in this work should be of help for those who wish to undertake a molecular study of this multifactorial …
The molecular approach to the study of these aspects could be difficult because of the large number of genes and variations involved. …
Drug Addiction and DNA Modifications.
Brown AN, Feng J. Brown AN, et al. Adv Exp Med Biol. 2017;978:105-125. doi: 10.1007/978-3-319-53889-1_6. Adv Exp Med Biol. 2017. PMID: 28523543 Review.
Drug addiction is a complex disorder which can be influenced by both genetic and environmental factors. Research has shown that epigenetic modifications can translate environmental signals into changes in gene expression, suggesting that epigenetic changes may underlie the …
Drug addiction is a complex disorder which can be influenced by both genetic and environmental factors. Research has shown that epige …
Genetic studies of alcohol dependence in the context of the addiction cycle.
Reilly MT, Noronha A, Goldman D, Koob GF. Reilly MT, et al. Neuropharmacology. 2017 Aug 1;122:3-21. doi: 10.1016/j.neuropharm.2017.01.017. Epub 2017 Jan 22. Neuropharmacology. 2017. PMID: 28118990 Free PMC article. Review.
Recently, genome-wide association studies have become one of the major tools for identifying genes for alcohol use disorders by examining correlations between millions of common single-nucleotide polymorphisms with diagnosis status. ...In this review, …
Recently, genome-wide association studies have become one of the major tools for identifying genes for alcohol use d
Opioid Addiction, Genetic Susceptibility, and Medical Treatments: A Review.
Wang SC, Chen YC, Lee CH, Cheng CM. Wang SC, et al. Int J Mol Sci. 2019 Sep 2;20(17):4294. doi: 10.3390/ijms20174294. Int J Mol Sci. 2019. PMID: 31480739 Free PMC article. Review.
The polygenic risk score based on the results of a genome-wide association study (GWAS) may be a promising tool to evaluate the association between phenotypes and genetic markers across the entire genome. ...In this article, we sum …
The polygenic risk score based on the results of a genome-wide association study (GWAS) may be a promisin …
A review of opioid addiction genetics.
Crist RC, Reiner BC, Berrettini WH. Crist RC, et al. Curr Opin Psychol. 2019 Jun;27:31-35. doi: 10.1016/j.copsyc.2018.07.014. Epub 2018 Aug 9. Curr Opin Psychol. 2019. PMID: 30118972 Free PMC article. Review.
Identification of the genetic variants underlying this inherited risk has focused on two different methods: candidate gene studies and genome-wide association studies (GWAS). ...GWAS of OUD is still in the early stages when compared to studies o …
Identification of the genetic variants underlying this inherited risk has focused on two different methods: candidate gene studies and ge
Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects.
Marshall CR, Howrigan DP, Merico D, Thiruvahindrapuram B, Wu W, Greer DS, Antaki D, Shetty A, Holmans PA, Pinto D, Gujral M, Brandler WM, Malhotra D, Wang Z, Fajarado KVF, Maile MS, Ripke S, Agartz I, Albus M, Alexander M, Amin F, Atkins J, Bacanu SA, Belliveau RA Jr, Bergen SE, Bertalan M, Bevilacqua E, Bigdeli TB, Black DW, Bruggeman R, Buccola NG, Buckner RL, Bulik-Sullivan B, Byerley W, Cahn W, Cai G, Cairns MJ, Campion D, Cantor RM, Carr VJ, Carrera N, Catts SV, Chambert KD, Cheng W, Cloninger CR, Cohen D, Cormican P, Craddock N, Crespo-Facorro B, Crowley JJ, Curtis D, Davidson M, Davis KL, Degenhardt F, Del Favero J, DeLisi LE, Dikeos D, Dinan T, Djurovic S, Donohoe G, Drapeau E, Duan J, Dudbridge F, Eichhammer P, Eriksson J, Escott-Price V, Essioux L, Fanous AH, Farh KH, Farrell MS, Frank J, Franke L, Freedman R, Freimer NB, Friedman JI, Forstner AJ, Fromer M, Genovese G, Georgieva L, Gershon ES, Giegling I, Giusti-Rodríguez P, Godard S, Goldstein JI, Gratten J, de Haan L, Hamshere ML, Hansen M, Hansen T, Haroutunian V, Hartmann AM, Henskens FA, Herms S, Hirschhorn JN, Hoffmann P, Hofman A, Huang H, Ikeda M, Joa I, Kähler AK, Kahn RS, Kalaydjieva L, Karjalainen J, Kavanagh D, Keller MC, Kelly BJ, Kennedy JL, Kim Y, Knowles JA, Konte B, Laurent C, Lee P, Lee SH, Legge SE, Lerer B, Levy DL, Liang KY, Lieberman J, Lönnqvist J, Loughland CM, Magnusson PKE, Maher BS, Maier W, Mallet J, Mattheisen M, Mattingsdal M, McCarley RW, McDonald C, McIntosh AM, Meier S, Meijer CJ, Melle I, Mesholam-Gately RI, Metspalu A, Michie PT, Milani L, Milanova V, Mokrab Y, Morris DW, Müller-Myhsok B, Murphy KC, Murray RM, Myin-Germeys I, Nenadic I, Nertney DA, Nestadt G, Nicodemus KK, Nisenbaum L, Nordin A, O'Callaghan E, O'Dushlaine C, Oh SY, Olincy A, Olsen L, O'Neill FA, Van Os J, Pantelis C, Papadimitriou GN, Parkhomenko E, Pato MT, Paunio T; Psychosis Endophenotypes International Consortium, Perkins DO, Pers TH, Pietiläinen O, Pimm J, Pocklington AJ, Powell J, Price A, Pulver AE, Purcell SM, Quested D, Rasmussen HB, Reichenberg A, Reimers MA, Richards AL, Roffman JL, Roussos P, Ruderfer DM, Salomaa V, Sanders AR, Savitz A, Schall U, Schulze TG, Schwab SG, Scolnick EM, Scott RJ, Seidman LJ, Shi J, Silverman JM, Smoller JW, Söderman E, Spencer CCA, Stahl EA, Strengman E, Strohmaier J, Stroup TS, Suvisaari J, Svrakic DM, Szatkiewicz JP, Thirumalai S, Tooney PA, Veijola J, Visscher PM, Waddington J, Walsh D, Webb BT, Weiser M, Wildenauer DB, Williams NM, Williams S, Witt SH, Wolen AR, Wormley BK, Wray NR, Wu JQ, Zai CC, Adolfsson R, Andreassen OA, Blackwood DHR, Bramon E, Buxbaum JD, Cichon S, Collier DA, Corvin A, Daly MJ, Darvasi A, Domenici E, Esko T, Gejman PV, Gill M, Gurling H, Hultman CM, Iwata N, Jablensky AV, Jönsson EG, Kendler KS, Kirov G, Knight J, Levinson DF, Li QS, McCarroll SA, McQuillin A, Moran JL, Mowry BJ, Nöthen MM, Ophoff RA, Owen MJ, Palotie A, Pato CN, Petryshen TL, Posthuma D, Rietschel M, Riley BP, Rujescu D, Sklar P, St Clair D, Walters JTR, Werge T, Sullivan PF, O'Donovan MC, Scherer SW, Neale BM, Sebat J; CNV and Schizophrenia Working Groups of the Psychiatric Genomics Consortium. Marshall CR, et al. Nat Genet. 2017 Jan;49(1):27-35. doi: 10.1038/ng.3725. Epub 2016 Nov 21. Nat Genet. 2017. PMID: 27869829 Free PMC article.
However, genome-wide investigation of the contribution of CNV to risk has been hampered by limited sample sizes. We sought to address this obstacle by applying a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. ...Genome-w
However, genome-wide investigation of the contribution of CNV to risk has been hampered by limited sample sizes. We sought to …
New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders.
Evangelou E, Gao H, Chu C, Ntritsos G, Blakeley P, Butts AR, Pazoki R, Suzuki H, Koskeridis F, Yiorkas AM, Karaman I, Elliott J, Luo Q, Aeschbacher S, Bartz TM, Baumeister SE, Braund PS, Brown MR, Brody JA, Clarke TK, Dimou N, Faul JD, Homuth G, Jackson AU, Kentistou KA, Joshi PK, Lemaitre RN, Lind PA, Lyytikäinen LP, Mangino M, Milaneschi Y, Nelson CP, Nolte IM, Perälä MM, Polasek O, Porteous D, Ratliff SM, Smith JA, Stančáková A, Teumer A, Tuominen S, Thériault S, Vangipurapu J, Whitfield JB, Wood A, Yao J, Yu B, Zhao W, Arking DE, Auvinen J, Liu C, Männikkö M, Risch L, Rotter JI, Snieder H, Veijola J, Blakemore AI, Boehnke M, Campbell H, Conen D, Eriksson JG, Grabe HJ, Guo X, van der Harst P, Hartman CA, Hayward C, Heath AC, Jarvelin MR, Kähönen M, Kardia SLR, Kühne M, Kuusisto J, Laakso M, Lahti J, Lehtimäki T, McIntosh AM, Mohlke KL, Morrison AC, Martin NG, Oldehinkel AJ, Penninx BWJH, Psaty BM, Raitakari OT, Rudan I, Samani NJ, Scott LJ, Spector TD, Verweij N, Weir DR, Wilson JF, Levy D, Tzoulaki I, Bell JD, Matthews PM, Rothenfluh A, Desrivières S, Schumann G, Elliott P. Evangelou E, et al. Nat Hum Behav. 2019 Sep;3(9):950-961. doi: 10.1038/s41562-019-0653-z. Epub 2019 Jul 29. Nat Hum Behav. 2019. PMID: 31358974
Here we conducted a meta-analysis of genome-wide association studies of alcohol consumption (g d(-1)) from the UK Biobank, the Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia, co …
Here we conducted a meta-analysis of genome-wide association studies of alcohol consumption (g d(-1)) from the UK Bioba …
Alcohol Dependence Genetics: Lessons Learned From Genome-Wide Association Studies (GWAS) and Post-GWAS Analyses.
Hart AB, Kranzler HR. Hart AB, et al. Alcohol Clin Exp Res. 2015 Aug;39(8):1312-27. doi: 10.1111/acer.12792. Epub 2015 Jun 25. Alcohol Clin Exp Res. 2015. PMID: 26110981 Free PMC article. Review.
Genome-wide association studies (GWAS) have improved the detection of specific loci associated with complex traits, including AD. However, findings from GWAS explain only a small proportion of phenotypic variance, and alternative methods have be
Genome-wide association studies (GWAS) have improved the detection of specific loci associated with complex trai
A brief review of the genetics and pharmacogenetics of opioid use disorders.
Berrettini W. Berrettini W. Dialogues Clin Neurosci. 2017 Sep;19(3):229-236. Dialogues Clin Neurosci. 2017. PMID: 29302220 Free PMC article. Review.
Twin studies of opioid addiction are consistent with an inherited component of risk, approximately 50%. Several genome-wide association study (GWAS) reports indicate that genetic risk for opioid addiction is conveyed by many allele …
Twin studies of opioid addiction are consistent with an inherited component of risk, approximately 50%. Several genome-wide
Genetics of addictive behavior: the example of nicotine dependence.
Gorwood P, Le Strat Y, Ramoz N. Gorwood P, et al. Dialogues Clin Neurosci. 2017 Sep;19(3):237-245. Dialogues Clin Neurosci. 2017. PMID: 29302221 Free PMC article. Review.
The majority of addictive disorders have a significant heritability-roughly around 50%. Surprisingly, the most convincing association (a nicotinic acetylcholine receptor CHRNA5-A3-B4 gene cluster in nicotine dependence), with a unique attributable risk of 14%, was d …
The majority of addictive disorders have a significant heritability-roughly around 50%. Surprisingly, the most convincing associat
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