5. Collaborative Study on the Genetics of Alcoholism: Functional genomics.
- Authors
- Gameiro-Ros, Isabel; Popova, Dina; Prytkova, Iya; Pang, Zhiping P; Liu, Yunlong; Dick, Danielle; Bucholz, Kathleen K; Agrawal, Arpana; Porjesz, Bernice; Goate, Alison M; Xuei, Xiaoling; Kamarajan, Chella; COGA Collaborators; Tischfield, Jay A; Edenberg, Howard J; Slesinger, Paul A; Hart, Ronald P
- Year
- 2023
- Journal
- Genes, brain, and behavior
- PMID
- 37533187
- DOI
- 10.1111/gbb.12855
- PMCID
- PMC10550792
Alcohol Use Disorder is a complex genetic disorder, involving genetic, neural, and environmental factors, and their interactions. The Collaborative Study on the Genetics of Alcoholism (COGA) has been investigating these factors and identified putative alcohol use disorder risk genes through genome-wide association studies. In this review, we describe advances made by COGA in elucidating the functional changes induced by alcohol use disorder risk genes using multimodal approaches with human cell lines and brain tissue. These studies involve investigating gene regulation in lymphoblastoid cells from COGA participants and in post-mortem brain tissues. High throughput reporter assays are being used to identify single nucleotide polymorphisms in which alternate alleles differ in driving gene expression. Specific single nucleotide polymorphisms (both coding or noncoding) have been modeled using induced pluripotent stem cells derived from COGA participants to evaluate the effects of genetic variants on transcriptomics, neuronal excitability, synaptic physiology, and the response to ethanol in human neurons from individuals with and without alcohol use disorder. We provide a perspective on future studies, such as using polygenic risk scores and populations of induced pluripotent stem cell-derived neurons to identify signaling pathways related with responses to alcohol. Starting with genes or loci associated with alcohol use disorder, COGA has demonstrated that integration of multimodal data within COGA participants and functional studies can reveal mechanisms linking genomic variants with alcohol use disorder, and potential targets for future treatments.
Summary of functional genomics strategies in COGA. COGA uses brain post‐mortem tissue and lymphoblastoid cells from healthy (unaffected) and AUD‐diagnosed (affected) COGA participants to study gene expression and its regulation by different sequencing strategies. Novel high throughput reporter assays such as PASSPORT‐seq are applied to analyze genetic variants in which alternate alleles differ in driving gene expression. In parallel, COGA uses iPSCs derived from AUD affected and unaffected COGA participants and differentiates them into neurons. Genetically‐defined human neurons allow evaluation of the functional consequences of AUD‐associated variants with hypothesized effects in the central nervous system using transcriptomic and electrophysiological approaches. Isogenic iPSC‐based strategies are used to model and functionally evaluate specific AUD‐associated SNPs. Created with BioRender.com.
PASSPORT‐seq assay for differential expression of alleles in 3′ untranslated regions. (A) PASSPORT‐seq vector. 51 bp segments with the SNP to be tested in position 26 are inserted into the 3′ untranslated region of the luciferase gene. After transfecting human cells with pools of these constructs, RNA and DNA are extracted from the pooled cells and the amount of RNA expressed from each is compared with the amount of DNA. (B–E) Results of PASSPORT‐seq assays. The number of unique reads of DNA and RNA from six replicate transfections of two different cell types is plotted, with alternate alleles on Y axis and reference alleles on X axis; on the left are the allele frequencies in the RNA (R) and DNA (D). (B, C) Effects of rs151371 variant in SH‐SY5Y cells and HMC3 cells, respectively; both alleles showed biased allele expression. (D, E) Effects of rs2306124 in SH‐SY5Y cells and HMC3 cells, respectively; this SNP demonstrated biased allele expression in HMC3 cells but not in SH‐SY5Y cells.
Functional consequences of non‐synonymous SNPs in OPRM1. (A) Acute ethanol application causes an increase in the inhibitory tone (spontaneous inhibitory postsynaptic currents, iPSCs) in iPSC‐derived inhibitory human neurons carrying N40 major allele. (B) Chronic ethanol treatment increases GABAergic transmission in inhibitory human neurons carrying D40 minor allele. Modified from Scarnati et al. 38
Functional consequences of a non‐coding SNPs in KCNJ6. (A) Manhattan plot showing genome‐wide association of frontal theta event‐related oscillation with several SNPs, including a synonymous SNP, rs702859, in the KCNJ6 gene on chromosome 21. (B) KCNJ6 SNPs influence the magnitude and topography of ERO theta power during reward processing in a monetary gambling task. (C) Impact of KCNJ6 haplotype (multiple linked SNPs) on iPSC‐derived excitatory neurons: (i) GIRK2 expression is decreased in the affected individuals (AUD/KCNJ6 minor alleles) as measured by puncta counts; (ii) neuronal excitability is increased in the affected individuals (AUD/KCNJ6 minor alleles) as measured by number of induced action potentials. Modified from Kang et al., 55 Kamarajan et al., 57 and Popova et al. 39
Ethanol‐mediated responses in a context of non‐coding SNPs in KCNJ6. (A) Chronic ethanol induces GIRK2 expression in iPSC‐derived excitatory human neurons. (B) Chronic ethanol eliminates differences in GIRK2 expression and excitability between affected (AUD/KCNJ6 minor alleles) and unaffected (not AUD/KCNJ6 major alleles) iPSC‐derived neurons. (C) KCNJ6 overexpression mimics chronic ethanol responses. Modified from Popova et al. 39
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| Citation | PMID | DOI | Status |
|---|---|---|---|
| Adams JW , Negraes PD , Truong J , et al. Impact of alcohol exposure on neural development and network formation in human cortical organoids. Mol Psychiatry. 2022;28:1571‐1584. doi:10.1038/s41380-022-01862-7 36385168PMC10208963 | — | — | — |
| Amin ND , Pasca SP . Building models of brain disorders with three‐dimensional organoids. Neuron. 2018;100(2):389‐405. doi:10.1016/j.neuron.2018.10.007 30359604 | — | — | — |
| Arnold CD , Gerlach D , Stelzer C , Boryn LM , Rath M , Stark A . Genome‐wide quantitative enhancer activity maps identified by STARR‐seq. Science. 2013;339(6123):1074‐1077. doi:10.1126/science.1232542 23328393 | — | — | — |
| Aryal P , Dvir H , Choe S , Slesinger PA . A discrete alcohol pocket involved in GIRK channel activation. Nat Neurosci. 2009;12(8):988‐995. doi:10.1038/nn.2358 19561601PMC2717173 | — | — | — |
| Arzua T , Yan Y , Jiang C , et al. Modeling alcohol‐induced neurotoxicity using human induced pluripotent stem cell‐derived three‐dimensional cerebral organoids. Transl Psychiatry. 2020;10(1):347. doi:10.1038/s41398-020-01029-4 33051447PMC7553959 | — | — | — |
| Bardy C , van den Hurk M , Eames T , et al. Neuronal medium that supports basic synaptic functions and activity of human neurons in vitro. Proc Natl Acad Sci U S A. 2015;112(20):E2725‐E2734. doi:10.1073/pnas.1504393112 25870293PMC4443325 | — | — | — |
| Barr PB , Driver MN , Kuo SI , et al. Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts. Mol Psychiatry. 2022;27(11):4633‐4641. doi:10.1038/s41380-022-01801-6 36195638PMC9938102 | — | — | — |
| Barr PB , Ksinan A , Su J , et al. Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples. Transl Psychiatry. 2020;10(1):196. doi:10.1038/s41398-020-00865-8 32555147PMC7303212 | — | — | — |
| Batzoglou S , Pachter L , Mesirov JP , Berger B , Lander ES . Human and mouse gene structure: comparative analysis and application to exon prediction. Genome Res. 2000;10(7):950‐958. doi:10.1101/gr.10.7.950 10899144PMC310911 | — | — | — |
| Bond C , LaForge KS , Tian M , et al. Single‐nucleotide polymorphism in the human mu opioid receptor gene alters beta‐endorphin binding and activity: possible implications for opiate addiction. Proc Natl Acad Sci U S A. 1998;95(16):9608‐9613. doi:10.1073/pnas.95.16.9608 9689128PMC21386 | — | — | — |
| Brennand K , Savas JN , Kim Y , et al. Phenotypic differences in hiPSC NPCs derived from patients with schizophrenia. Mol Psychiatry. 2015;20(3):361‐368. doi:10.1038/mp.2014.22 24686136PMC4182344 | — | — | — |
| Chang LH , Whitfield JB , Liu M , et al. Associations between polygenic risk for tobacco and alcohol use and liability to tobacco and alcohol use, and psychiatric disorders in an independent sample of 13,999 Australian adults. Drug Alcohol Depend. 2019;205:107704. doi:10.1016/j.drugalcdep.2019.107704 31731259 | — | — | — |
| Cheng C , Fass DM , Folz‐Donahue K , MacDonald ME , Haggarty SJ . Highly expandable human iPS cell‐derived neural progenitor cells (NPC) and neurons for central nervous system disease modeling and high‐throughput screening. Curr Protoc Hum Genet. 2017;92:21.8.1‐21.8.21. doi:10.1002/cphg.33 PMC529300828075486 | — | — | — |
| Chorlian DB , Rangaswamy M , Manz N , et al. Genetic correlates of the development of theta event related oscillations in adolescents and young adults. Int J Psychophysiol. 2017;115:24‐39. doi:10.1016/j.ijpsycho.2016.11.007 27847216PMC5456461 | — | — | — |
| De Filippis L , Halikere A , McGowan H , et al. Ethanol‐mediated activation of the NLRP3 inflammasome in iPS cells and iPS cells‐derived neural progenitor cells. Mol Brain. 2016;9(1):51. doi:10.1186/s13041-016-0221-7 27160314PMC4862119 | — | — | — |
| Deak JD , Clark DA , Liu M , et al. Alcohol and nicotine polygenic scores are associated with the development of alcohol and nicotine use problems from adolescence to young adulthood. Addiction. 2022;117(4):1117‐1127. doi:10.1111/add.15697 34590376PMC8931861 | — | — | — |
| Deak JD , Johnson EC . Genetics of substance use disorders: a review. Psychol Med. 2021;51(13):2189‐2200. doi:10.1017/S0033291721000969 33879270PMC8477224 | — | — | — |
| Dong C , Zheng Y , Long‐Iyer K , Wright EC , Li Y , Tian L . Fluorescence imaging of neural activity, neurochemical dynamics, and drug‐specific receptor conformation with genetically encoded sensors. Annu Rev Neurosci. 2022;45:273‐294. doi:10.1146/annurev-neuro-110520-031137 35316611PMC9940643 | — | — | — |
| Dooves S , Nadadhur AG , Gasparotto L , Heine VM . Co‐culture of human stem cell derived neurons and oligodendrocyte progenitor cells. Bio Protoc. 2019;9(17):e3350. doi:10.21769/BioProtoc.3350 PMC785411233654852 | — | — | — |
| Edenberg HJ , Foroud T . The genetics of alcoholism: identifying specific genes through family studies. Addict Biol. 2006;11(3–4):386‐396. doi:10.1111/j.1369-1600.2006.00035.x 16961766 | — | — | — |
| Edenberg HJ , Gelernter J , Agrawal A . Genetics of alcoholism. Curr Psychiatry Rep. 2019;21(4):26. doi:10.1007/s11920-019-1008-1 30852706 | — | — | — |
| Edenberg HJ , McClintick JN . Alcohol dehydrogenases, aldehyde dehydrogenases, and alcohol use disorders: a critical review. Alcohol Clin Exp Res. 2018;42(12):2281‐2297. doi:10.1111/acer.13904 30320893PMC6286250 | — | — | — |
| Edenberg HJ , Xuei X , Chen HJ , et al. Association of alcohol dehydrogenase genes with alcohol dependence: a comprehensive analysis. Hum Mol Genet. 2006;15(9):1539‐1549. doi:10.1093/hmg/ddl073 16571603 | — | — | — |
| Edenberg HJ . Perspective on beyond statistical significance: finding meaningful effects. Complex Psychiatry. 2021;7(1–2):1‐8. doi:10.1159/000517237 35603094PMC8443957 | — | — | — |
| Edenberg HJ . Regulation of the mammalian alcohol dehydrogenase genes. Prog Nucleic Acid Res Mol Biol. 2000;64:295‐341. doi:10.1016/s0079-6603(00)64008-4 10697413 | — | — | — |
| Enculescu C , Kerr ED , Yeo KYB , Schenk G , Fortes MRS , Schulz BL . Proteomics reveals profound metabolic changes in the alcohol use disorder brain. ACS Chem Nerosci. 2019;10(5):2364‐2373. doi:10.1021/acschemneuro.8b00660 30807102 | — | — | — |
| Gamazon ER , Wheeler HE , Shah KP , et al. A gene‐based association method for mapping traits using reference transcriptome data. Nat Genet. 2015;47(9):1091‐1098. doi:10.1038/ng.3367 26258848PMC4552594 | — | — | — |
| Gelernter J , Polimanti R . Genetics of substance use disorders in the era of big data. Nat Rev Genet. 2021;22(11):712‐729. doi:10.1038/s41576-021-00377-1 34211176PMC9210391 | — | — | — |
| GTExConsortium . Genetic effects on gene expression across human tissues. Nature. 2017;550(7675):204‐213. doi:10.1038/nature24277 29022597PMC5776756 | — | — | — |
| Halikere A , Popova D , Scarnati MS , et al. Addiction associated N40D mu‐opioid receptor variant modulates synaptic function in human neurons. Mol Psychiatry. 2020;25(7):1406‐1419. doi:10.1038/s41380-019-0507-0 31481756PMC7051890 | — | — | — |
| Hulme AJ , Maksour S , St‐Clair Glover M , Miellet S , Dottori M . Making neurons, made easy: the use of neurogenin‐2 in neuronal differentiation. Stem Cell Rep. 2022;17(1):14‐34. doi:10.1016/j.stemcr.2021.11.015 PMC875894634971564 | — | — | — |
| Ipe J , Collins KS , Hao Y , et al. PASSPORT‐seq: a novel high‐throughput bioassay to functionally test polymorphisms in micro‐RNA target sites. Front Genet. 2018;9:219. doi:10.3389/fgene.2018.00219 29963077PMC6013768 | — | — | — |
| Jensen KP , Lieberman R , Kranzler HR , Gelernter J , Clinton K , Covault J . Alcohol‐responsive genes identified in human iPSC‐derived neural cultures. Transl Psychiatry. 2019;9(1):96. doi:10.1038/s41398-019-0426-5 30862775PMC6414668 | — | — | — |
| Jensen TI , Mikkelsen NS , Gao Z , et al. Targeted regulation of transcription in primary cells using CRISPRa and CRISPRi. Genome Res. 2021;31(11):2120‐2130. doi:10.1101/gr.275607.121 34407984PMC8559706 | — | — | — |
| Kamarajan C , Pandey AK , Chorlian DB , et al. A KCNJ6 gene polymorphism modulates theta oscillations during reward processing. Int J Psychophysiol. 2017;115:13‐23. doi:10.1016/j.ijpsycho.2016.12.007 27993610PMC5392377 | — | — | — |
| Kang HM , Subramaniam M , Targ S , et al. Multiplexed droplet single‐cell RNA‐sequencing using natural genetic variation. Nat Biotechnol. 2018;36(1):89‐94. doi:10.1038/nbt.4042 29227470PMC5784859 | — | — | — |
| Kang SJ , Rangaswamy M , Manz N , et al. Family‐based genome‐wide association study of frontal theta oscillations identifies potassium channel gene KCNJ6. Genes Brain Behav. 2012;11(6):712‐719. doi:10.1111/j.1601-183X.2012.00803.x 22554406PMC3666338 | — | — | — |
| Kapoor M , Chao MJ , Johnson EC , et al. Multi‐omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases. Nat Commun. 2021;12(1):5071. doi:10.1038/s41467-021-25392-y 34417470PMC8379159 | — | — | — |
| Kapoor M , Wang JC , Farris SP , et al. Analysis of whole genome‐transcriptomic organization in brain to identify genes associated with alcoholism. Transl Psychiatry. 2019;9(1):89. doi:10.1038/s41398-019-0384-y 30765688PMC6376002 | — | — | — |
| Kendler KS , Kalsi G , Holmans PA , et al. Genomewide association analysis of symptoms of alcohol dependence in the molecular genetics of schizophrenia (MGS2) control sample. Alcohol Clin Exp Res. 2011;35(5):963‐975. doi:10.1111/j.1530-0277.2010.01427.x 21314694PMC3083473 | — | — | — |
| Kranzler HR , Zhou H , Kember RL , et al. Genome‐wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nat Commun. 2019;10(1):1499. doi:10.1038/s41467-019-09480-8 30940813PMC6445072 | — | — | — |
| Kuijlaars J , Oyelami T , Diels A , et al. Sustained synchronized neuronal network activity in a human astrocyte co‐culture system. Sci Rep. 2016;6:36529. doi:10.1038/srep36529 27819315PMC5098163 | — | — | — |
| Kuo SI , Salvatore JE , Barr PB , et al. Mapping pathways by which genetic risk influences adolescent externalizing behavior: the interplay between externalizing polygenic risk scores, parental knowledge, and peer substance use. Behav Genet. 2021;51(5):543‐558. doi:10.1007/s10519-021-10067-7 34117972PMC8403154 | — | — | — |
| LaForge KS , Yuferov V , Kreek MJ . Opioid receptor and peptide gene polymorphisms: potential implications for addictions. Eur J Pharmacol. 2000;410(2–3):249‐268. doi:10.1016/s0014-2999(00)00819-0 11134674 | — | — | — |
| Lai D , Johnson EC , Colbert S , et al. Evaluating risk for alcohol use disorder: polygenic risk scores and family history. Alcohol Clin Exp Res. 2022;46(3):374‐383. doi:10.1111/acer.14772 35267208PMC8928056 | — | — | — |
| Lai D , Schwantes‐An TH , Abreu M , et al. Gene‐based polygenic risk scores analysis of alcohol use disorder in African Americans. Transl Psychiatry. 2022;12(1):266. doi:10.1038/s41398-022-02029-2 35790736PMC9256707 | — | — | — |
| Lee CT , Bendriem RM , Wu WW , Shen RF . 3D brain organoids derived from pluripotent stem cells: promising experimental models for brain development and neurodegenerative disorders. J Biomed Sci. 2017;24(1):59. doi:10.1186/s12929-017-0362-8 28822354PMC5563385 | — | — | — |
| Lieberman R , Kranzler HR , Joshi P , Shin DG , Covault J . GABRA2 alcohol dependence risk allele is associated with reduced expression of chromosome 4p12 GABAA subunit genes in human neural cultures. Alcohol Clin Exp Res. 2015;39(9):1654‐1664. doi:10.1111/acer.12807 26250693PMC4558268 | — | — | — |
| Lieberman R , Kranzler HR , Levine ES , Covault J . Examining the effects of alcohol on GABA(A) receptor mRNA expression and function in neural cultures generated from control and alcohol dependent donor induced pluripotent stem cells. Alcohol. 2018;66:45‐53. doi:10.1016/j.alcohol.2017.08.005 29156239PMC5743620 | — | — | — |
| Lieberman R , Levine ES , Kranzler HR , Abreu C , Covault J . Pilot study of iPS‐derived neural cells to examine biologic effects of alcohol on human neurons in vitro. Alcohol Clin Exp Res. 2012;36(10):1678‐1687. doi:10.1111/j.1530-0277.2012.01792.x 22486492PMC3424319 | — | — | — |
| Liu M , Jiang Y , Wedow R , et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nat Genet. 2019;51(2):237‐244. doi:10.1038/s41588-018-0307-5 30643251PMC6358542 | — | — | — |
| Lovinger DM . Presynaptic ethanol actions: potential roles in ethanol seeking. Handb Exp Pharmacol. 2018;248:29‐54. doi:10.1007/164_2017_76 29204712PMC11103585 | — | — | — |
| Luscher C , Slesinger PA . Emerging roles for G protein‐gated inwardly rectifying potassium (GIRK) channels in health and disease. Nat Rev Neurosci. 2010;11(5):301‐315. doi:10.1038/nrn2834 20389305PMC3052907 | — | — | — |
| Mague SD , Blendy JA . OPRM1 SNP (A118G): involvement in disease development, treatment response, and animal models. Drug Alcohol Depend. 2010;108(3):172‐182. doi:10.1016/j.drugalcdep.2009.12.016 20074870PMC2887703 | — | — | — |
| Mague SD , Isiegas C , Huang P , Liu‐Chen LY , Lerman C , Blendy JA . Mouse model of OPRM1 (A118G) polymorphism has sex‐specific effects on drug‐mediated behavior. Proc Natl Acad Sci U S A. 2009;106(26):10847‐10852. doi:10.1073/pnas.0901800106 19528658PMC2705603 | — | — | — |
| Mallard TT , Savage JE , Johnson EC , et al. Item‐level genome‐wide association study of the alcohol use disorders identification test in three population‐based cohorts. Am J Psychiatry. 2022;179(1):58‐70. doi:10.1176/appi.ajp.2020.20091390 33985350PMC9272895 | — | — | — |
| Manolio TA , Collins FS , Cox NJ , et al. Finding the missing heritability of complex diseases. Nature. 2009;461(7265):747‐753. doi:10.1038/nature08494 19812666PMC2831613 | — | — | — |
| Mayfield RD , Harris RA , Schuckit MA . Genetic factors influencing alcohol dependence. Br J Pharmacol. 2008;154(2):275‐287. doi:10.1038/bjp.2008.88 18362899PMC2442454 | — | — | — |
| McClintick JN , Brooks AI , Deng L , et al. Ethanol treatment of lymphoblastoid cell lines from alcoholics and non‐alcoholics causes many subtle changes in gene expression. Alcohol. 2014;48(6):603‐610. doi:10.1016/j.alcohol.2014.07.004 25129674PMC4730944 | — | — | — |
| McClintick JN , Thapa K , Liu Y , Xuei X , Edenberg HJ . Effects of chronic intermittent ethanol exposure and withdrawal on neuroblastoma cell transcriptome. Alcohol. 2020;85:119‐126. doi:10.1016/j.alcohol.2019.12.004 31923563PMC7237278 | — | — | — |
| McClintick JN , Tischfield JA , Deng L , Kapoor M , Xuei X , Edenberg HJ . Ethanol activates immune response in lymphoblastoid cells. Alcohol. 2019;79:81‐91. doi:10.1016/j.alcohol.2019.01.001 30639126PMC6616005 | — | — | — |
| McClintick JN , Xuei X , Tischfield JA , et al. Stress‐response pathways are altered in the hippocampus of chronic alcoholics. Alcohol. 2013;47(7):505‐515. doi:10.1016/j.alcohol.2013.07.002 23981442PMC3836826 | — | — | — |
| McNeill RV , Ziegler GC , Radtke F , Nieberler M , Lesch KP , Kittel‐Schneider S . Mental health dished up‐the use of iPSC models in neuropsychiatric research. J Neural Transm. 2020;127(11):1547‐1568. doi:10.1007/s00702-020-02197-9 32377792PMC7578166 | — | — | — |
| Miura Y , Li MY , Revah O , Yoon SJ , Narazaki G , Pasca SP . Engineering brain assembloids to interrogate human neural circuits. Nat Protoc. 2022;17(1):15‐35. doi:10.1038/s41596-021-00632-z 34992269 | — | — | — |
| Muratore CR , Srikanth P , Callahan DG , Young‐Pearse TL . Comparison and optimization of hiPSC forebrain cortical differentiation protocols. PLoS One. 2014;9(8):e105807. doi:10.1371/journal.pone.0105807 25165848PMC4148335 | — | — | — |
| Nehme R , Zuccaro E , Ghosh SD , et al. Combining NGN2 programming with developmental patterning generates human excitatory neurons with NMDAR‐mediated synaptic transmission. Cell Rep. 2018;23(8):2509‐2523. doi:10.1016/j.celrep.2018.04.066 29791859PMC6003669 | — | — | — |
| Notaras M , Lodhi A , Fang H , Greening D , Colak D . The proteomic architecture of schizophrenia iPSC‐derived cerebral organoids reveals alterations in GWAS and neuronal development factors. Transl Psychiatry. 2021;11(1):541. doi:10.1038/s41398-021-01664-5 34667143PMC8526592 | — | — | — |
| Odawara A , Katoh H , Matsuda N , Suzuki I . Physiological maturation and drug responses of human induced pluripotent stem cell‐derived cortical neuronal networks in long‐term culture. Sci Rep. 2016;6:26181. doi:10.1038/srep26181 27188845PMC4870631 | — | — | — |
| Odawara A , Saitoh Y , Alhebshi AH , Gotoh M , Suzuki I . Long‐term electrophysiological activity and pharmacological response of a human induced pluripotent stem cell‐derived neuron and astrocyte co‐culture. Biochem Biophys Res Commun. 2014;443(4):1176‐1181. doi:10.1016/j.bbrc.2013.12.142 24406164 | — | — | — |
| Oni EN , Halikere A , Li G , et al. Increased nicotine response in iPSC‐derived human neurons carrying the CHRNA5 N398 allele. Sci Rep. 2016;6:34341. doi:10.1038/srep34341 27698409PMC5048107 | — | — | — |
| Page SC , Sripathy SR , Farinelli F , et al. Electrophysiological measures from human iPSC‐derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance. Proc Natl Acad Sci U S A. 2022;119(3):e2109395119. doi:10.1073/pnas.2109395119 35017298PMC8784142 | — | — | — |
| Pang ZP , Yang N , Vierbuchen T , et al. Induction of human neuronal cells by defined transcription factors. Nature. 2011;476(7359):220‐223. doi:10.1038/nature10202 21617644PMC3159048 | — | — | — |
| Popova D , Desai N , Blendy JA , Pang ZP . Synaptic regulation by OPRM1 variants in reward neurocircuitry. J Neurosci. 2019;39(29):5685‐5696. doi:10.1523/JNEUROSCI.2317-18.2019 31109961PMC6636083 | — | — | — |
| Popova D , Gameiro‐Ros I , Youssef MM , et al. Alcohol reverses the effects of KCNJ6 (GIRK2) noncoding variants on excitability of human glutamatergic neurons. Mol Psychiatry. 2022;28:746‐758. doi:10.1038/s41380-022-01818-x 36207584PMC9542475 | — | — | — |
| Prytkova I , Goate A , Hart RP , Slesinger PA . Genetics of alcohol use disorder: a role for induced pluripotent stem cells? Alcohol Clin Exp Res. 2018;42(9):1572‐1590. doi:10.1111/acer.13811 29897633PMC6120805 | — | — | — |
| Rao X , Thapa KS , Chen AB , et al. Allele‐specific expression and high‐throughput reporter assay reveal functional genetic variants associated with alcohol use disorders. Mol Psychiatry. 2021;26(4):1142‐1151. doi:10.1038/s41380-019-0508-z 31477794PMC7050407 | — | — | — |
| Sanchez‐Roige S , Palmer AA , Fontanillas P , et al. Genome‐wide association study meta‐analysis of the alcohol use disorders identification test (AUDIT) in two population‐based cohorts. Am J Psychiatry. 2019;176(2):107‐118. doi:10.1176/appi.ajp.2018.18040369 30336701PMC6365681 | — | — | — |
| Savage JE , Salvatore JE , Aliev F , et al. Polygenic risk score prediction of alcohol dependence symptoms across population‐based and clinically ascertained samples. Alcohol Clin Exp Res. 2018;42(3):520‐530. doi:10.1111/acer.13589 29405378PMC5832589 | — | — | — |
| Scarnati MS , Boreland AJ , Joel M , Hart RP , Pang ZP . Differential sensitivity of human neurons carrying mu opioid receptor (MOR) N40D variants in response to ethanol. Alcohol. 2020;87:97‐109. doi:10.1016/j.alcohol.2020.05.004 32561311PMC7958146 | — | — | — |
| Scarnati MS , Halikere A , Pang ZP . Using human stem cells as a model system to understand the neural mechanisms of alcohol use disorders: current status and outlook. Alcohol. 2019;74:83‐93. doi:10.1016/j.alcohol.2018.03.008 30087005PMC6167197 | — | — | — |
| Schrode N , Ho SM , Yamamuro K , et al. Synergistic effects of common schizophrenia risk variants. Nat Genet. 2019;51(10):1475‐1485. doi:10.1038/s41588-019-0497-5 31548722PMC6778520 | — | — | — |
| Sloan ME , Klepp TD , Gowin JL , et al. The OPRM1 A118G polymorphism: converging evidence against associations with alcohol sensitivity and consumption. Neuropsychopharmacology. 2018;43(7):1530‐1538. doi:10.1038/s41386-017-0002-8 29497164PMC5983535 | — | — | — |
| Tcw J , Wang M , Pimenova AA , et al. An efficient platform for astrocyte differentiation from human induced pluripotent stem cells. Stem Cell Rep. 2017;9(2):600‐614. doi:10.1016/j.stemcr.2017.06.018 PMC555003428757165 | — | — | — |
| Thapa KS , Chen AB , Lai D , et al. Identification of functional genetic variants associated with alcohol dependence and related phenotypes using a high‐throughput assay. Alcohol Clin Exp Res. 2020;44(12):2494‐2518. doi:10.1111/acer.14492 33119910PMC7725989 | — | — | — |
| Toikumo S , Xu H , Gelernter J , Kember RL , Kranzler HR . Integrating human brain proteomic data with genome‐wide association study findings identifies novel brain proteins in substance use traits. Neuropsychopharmacology. 2022;47(13):2292‐2299. doi:10.1038/s41386-022-01406-1 35941285PMC9630289 | — | — | — |
| Varderidou‐Minasian S , Hinz L , Hagemans D , Posthuma D , Altelaar M , Heine VM . Quantitative proteomic analysis of Rett iPSC‐derived neuronal progenitors. Mol Autism. 2020;11(1):38. doi:10.1186/s13229-020-00344-3 32460858PMC7251722 | — | — | — |
| Visscher PM , Wray NR , Zhang Q , et al. 10 years of GWAS discovery: biology, function, and translation. Am J Hum Genet. 2017;101(1):5‐22. doi:10.1016/j.ajhg.2017.06.005 28686856PMC5501872 | — | — | — |
| Walters RK , Polimanti R , Johnson EC , et al. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci. 2018;21(12):1656‐1669. doi:10.1038/s41593-018-0275-1 30482948PMC6430207 | — | — | — |
| Wang JC , Foroud T , Hinrichs AL , et al. A genome‐wide association study of alcohol‐dependence symptom counts in extended pedigrees identifies C15orf53. Mol Psychiatry. 2013;18(11):1218‐1224. doi:10.1038/mp.2012.143 23089632PMC3752321 | — | — | — |
| Wang L , Mirabella VR , Dai R , et al. Analyses of the autism‐associated neuroligin‐3 R451C mutation in human neurons reveal a gain‐of‐function synaptic mechanism. Mol Psychiatry. 2022. Online ahead of print. doi:10.1038/s41380-022-01834-x PMC1012318036280753 | — | — | — |
| Xuei X , Flury‐Wetherill L , Bierut L , et al. The opioid system in alcohol and drug dependence: family‐based association study. Am J Med Genet B Neuropsychiatr Genet. 2007;144B(7):877‐884. doi:10.1002/ajmg.b.30531 17503481 | — | — | — |
| Zerbino DR , Achuthan P , Akanni W , et al. Ensembl 2018. Nucleic Acids Res. 2018;46(D1):D754‐D761. doi:10.1093/nar/gkx1098 29155950PMC5753206 | — | — | — |
| Zhou H , Sealock JM , Sanchez‐Roige S , et al. 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):809‐818. doi:10.1038/s41593-020-0643-5 32451486PMC7485556 | — | — | — |
| Zhu Y , Wang L , Yin F , et al. Probing impaired neurogenesis in human brain organoids exposed to alcohol. Integr Biol. 2017;9(12):968‐978. doi:10.1039/c7ib00105c 29168871 | — | — | — |
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External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Pleiotropic Effects of <i>Grm7</i>/<i>GRM7</i> in Shaping Neurodevelopmental Pathways and the Neural Substrate of Complex Behaviors and Disorders. | Gyetvai BM et al. | — | 2025 | → |
| Polygenic risk for alcohol use disorder affects cellular responses to ethanol exposure in a human microglial cell model. | Li X et al. | — | 2024 | → |
| 5. Collaborative Study on the Genetics of Alcoholism: Functional genomics. | Gameiro-Ros I et al. | — | 2023 | → |
| Collaborative study on the genetics of alcoholism: The strength of collaboration, team science, and longitudinal data. | Ehringer MA | — | 2023 | → |