Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder

被引:13
|
作者
Salvatore, Jessica E. [1 ,2 ]
Han, Shizhong [3 ,4 ]
Farris, Sean P. [5 ]
Mignogna, Kristin M. [2 ]
Miles, Michael F. [6 ]
Agrawal, Arpana [7 ]
机构
[1] Virginia Commonwealth Univ, Dept Psychol, Box 842018,806 West Franklin St, Richmond, VA 23284 USA
[2] Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Box 980126, Richmond, VA 23298 USA
[3] Univ Iowa, Dept Psychiat, Iowa City, IA 52242 USA
[4] Johns Hopkins Sch Med, Dept Psychiat & Behav Sci, Baltimore, MD USA
[5] Univ Texas Austin, Waggoner Ctr Alcohol & Addict Res, Austin, TX 78712 USA
[6] Virginia Commonwealth Univ, Dept Pharmacol & Toxicol, Richmond, VA USA
[7] Washington Univ, Dept Psychol, Sch Med, 660 S Euclid,CB 8134, St Louis, MO 63130 USA
基金
美国国家卫生研究院;
关键词
alcohol use disorder; cross-species validation; functional genomics; translational genomics; GENE-SET ANALYSIS; PARTITIONING HERITABILITY; HUMAN TRANSCRIPTOME; NETWORK ANALYSIS; ACUTE ETHANOL; CELL-TYPES; ASSOCIATION; EXPRESSION; BRAIN; DEPENDENCE;
D O I
10.1111/adb.12591
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Alcohol use disorder (AUD) is a heritable complex behavior. Due to the highly polygenic nature of AUD, identifying genetic variants that comprise this heritable variation has proved to be challenging. With the exception of functional variants in alcohol metabolizing genes (e.g. ADH1B and ALDH2), few other candidate loci have been confidently linked to AUD. Genome-wide association studies (GWAS) of AUD and other alcohol-related phenotypes have either produced few hits with genome-wide significance or have failed to replicate on further study. These issues reinforce the complex nature of the genetic underpinnings for AUD and suggest that both GWAS studies with larger samples and additional analysis approaches that better harness the nominally significant loci in existing GWAS are needed. Here, we review approaches of interest in the post-GWAS era, including in silico functional analyses; functional partitioning of single nucleotide polymorphism heritability; aggregation of signal into genes and gene networks; and validation of identified loci, genes and gene networks in postmortem brain tissue and across species. These integrative approaches hold promise to illuminate our understanding of the biological basis of AUD; however, we recognize that the main challenge continues to be the extremely polygenic nature of AUD, which necessitates large samples to identify multiple loci associated with AUD liability.
引用
收藏
页码:275 / 289
页数:15
相关论文
共 40 条
  • [21] Combined GWAS and LDLA approaches to improve genome-wide quantitative trait loci detection affecting carcass and meat quality traits in pig
    Herault, Frederic
    Damon, Marie
    Cherel, Pierre
    Le Roy, Pascale
    MEAT SCIENCE, 2018, 135 : 148 - 158
  • [22] Genome-wide association analysis of opioid use disorder: A novel approach using clinical data
    Song, Wenyu
    Kossowsky, Joe
    Torous, John
    Chen, Chia-Yen
    Huang, Hailiang
    Mukamal, Kenneth J.
    Berde, Charles B.
    Bates, David W.
    Wright, Adam
    DRUG AND ALCOHOL DEPENDENCE, 2020, 217
  • [23] An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder
    Qi, Xin
    Wen, Yan
    Li, Ping
    Liang, Chujun
    Cheng, Bolun
    Ma, Mei
    Cheng, Shiqiang
    Zhang, Lu
    Liu, Li
    Kafle, Om Prakash
    Zhang, Feng
    INTERNATIONAL JOURNAL OF BIPOLAR DISORDERS, 2020, 8 (01)
  • [24] Genome-Wide Differentiation of Various Melon Horticultural Groups for Use in GWAS for Fruit Firmness and Construction of a High Resolution Genetic Map
    Nimmakayala, Padma
    Tomason, Yan R.
    Abburi, Venkata L.
    Alvarado, Alejandra
    Saminathan, Thangasamy
    Vajja, Venkata G.
    Salazar, Germania
    Panicker, Girish K.
    Levi, Amnon
    Wechter, William P.
    McCreight, James D.
    Korol, Abraham B.
    Ronin, Yefim
    Garcia-Mas, Jordi
    Reddy, Umesh K.
    FRONTIERS IN PLANT SCIENCE, 2016, 7
  • [25] Genetic Basis of Dual Diagnosis: A Review of Genome-Wide Association Studies (GWAS) Focusing on Patients with Mood or Anxiety Disorders and Co-Occurring Alcohol-Use Disorders
    Stoychev, Kaloyan
    Dilkov, Dancho
    Naghavi, Elahe
    Kamburova, Zornitsa
    DIAGNOSTICS, 2021, 11 (06)
  • [26] Predicting Alcohol Use From Genome-Wide Polygenic Scores, Environmental Factors, and Their Interactions in Young Adulthood
    Kandaswamy, Radhika
    Allegrini, Andrea
    Nancarrow, Alexandra F.
    Cave, Sophie Nicole
    Plomin, Robert
    von Stumm, Sophie
    PSYCHOSOMATIC MEDICINE, 2022, 84 (02): : 244 - 250
  • [27] Genomic and Personalized Medicine Approaches for Substance Use Disorders (SUDs) Looking at Genome-Wide Association Studies
    Cozzoli, Danilo
    Daponte, Alessia
    De Fazio, Salvatore
    Ariano, Vincenza
    Quaranta, Maria Rita
    Leone, Vincenzo
    Ostuni, Angelo
    Casanova, Margherita
    Catacchio, Claudia Rita
    Ventura, Mario
    Montinaro, Francesco
    BIOMEDICINES, 2021, 9 (12)
  • [28] Association of Protein Phosphatase PPM1G With Alcohol Use Disorder and Brain Activity During Behavioral Control in a Genome-Wide Methylation Analysis
    Ruggeri, Barbara
    Nymberg, Charlotte
    Vuoksimaa, Eero
    Lourdusamy, Anbarasu
    Wong, Cybele P.
    Carvalho, Fabiana M.
    Jia, Tianye
    Cattrell, Anna
    Macare, Christine
    Banaschewski, Tobias
    Barker, Gareth J.
    Bokde, Arun L. W.
    Bromberg, Uli
    Buechel, Christian
    Conrod, Patricia J.
    Fauth-Buehler, Mira
    Flor, Herta
    Frouin, Vincent
    Gallinat, Juergen
    Garavan, Hugh
    Gowland, Penny
    Heinz, Andreas
    Ittermann, Bernd
    Martinot, Jean-Luc
    Nees, Frauke
    Pausova, Zdenka
    Paus, Tomas
    Rietschel, Marcella
    Robbins, Trevor
    Smolka, Michael N.
    Spanagel, Rainer
    Bakalkin, Georgy
    Mill, Jonathan
    Sommer, Wolfgang H.
    Rose, Richard J.
    Yan, Jia
    Aliey, Fazil
    Dick, Danielle
    Kaprio, Jaakko
    Desrivieres, Sylvane
    Schumann, Gunter
    AMERICAN JOURNAL OF PSYCHIATRY, 2015, 172 (06) : 543 - 552
  • [29] A large-scale genome-wide association study meta-analysis of cannabis use disorder
    Johnson, Emma C.
    Demontis, Ditte
    Thorgeirsson, Thorgeir E.
    Walters, Raymond K.
    Polimanti, Renato
    Hatoum, Alexander S.
    Sanchez-Roige, Sandra
    Paul, Sarah E.
    Wendt, Frank R.
    Clarke, Toni-Kim
    Lai, Dongbing
    Reginsson, Gunnar W.
    Zhou, Hang
    He, June
    Baranger, David A. A.
    Gudbjartsson, Daniel F.
    Wedow, Robbee
    Adkins, Daniel E.
    Adkins, Amy E.
    Alexander, Jeffry
    Bacanu, Silviu-Alin
    Bigdeli, Tim B.
    Boden, Joseph
    Brown, Sandra A.
    Bucholz, Kathleen K.
    Bybjerg-Grauholm, Jonas
    Corley, Robin P.
    Degenhardt, Louisa
    Dick, Danielle M.
    Domingue, Benjamin W.
    Fox, Louis
    Goate, Alison M.
    Gordon, Scott D.
    Hack, Laura M.
    Hancock, Dana B.
    Hartz, Sarah M.
    Hickie, Ian B.
    Hougaard, David M.
    Krauter, Kenneth
    Lind, Penelope A.
    McClintick, Jeanette N.
    McQueen, Matthew B.
    Meyers, Jacquelyn L.
    Montgomery, Grant W.
    Mors, Ole
    Mortensen, Preben B.
    Nordentoft, Merete
    Pearson, John F.
    Peterson, Roseann E.
    Reynolds, Maureen D.
    LANCET PSYCHIATRY, 2020, 7 (12): : 1032 - 1045
  • [30] A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior
    Meyers, Jacquelyn L.
    Zhang, Jian
    Chorlian, David B.
    Pandey, Ashwini K.
    Kamarajan, Chella
    Wang, Jen-Chyong
    Wetherill, Leah
    Lai, Dongbing
    Chao, Michael
    Chan, Grace
    Kinreich, Sivan
    Kapoor, Manav
    Bertelsen, Sarah
    McClintick, Jeanette
    Bauer, Lance
    Hesselbrock, Victor
    Kuperman, Samuel
    Kramer, John
    Salvatore, Jessica E.
    Dick, Danielle M.
    Agrawal, Arpana
    Foroud, Tatiana
    Edenberg, Howard J.
    Goate, Alison
    Porjesz, Bernice
    MOLECULAR PSYCHIATRY, 2021, 26 (09) : 5040 - 5052