Literature DB >> 32115811

Significant, replicable, and functional associations between KTN1 variants and alcohol and drug codependence.

Xingguang Luo1, Xiaoyun Guo2,3, Xingqun Luo4, Yunlong Tan1, Ping Zhang1, Kebing Yang1, Ting Xie1, Jing Shi1, Yong Zhang5, Jianying Xu6, Lingjun Zuo3, Chiang-Shan R Li3,7.   

Abstract

The gray matter volume (GMV) of the putamen has been reported to be regulated by kinectin 1 gene (KTN1). As a hub of the dopaminergic circuit, the putamen is widely implicated in the etiological processes of substance use disorders (SUD). Here, we aimed to identify robust and reliable associations between KTN1 SNPs and SUD across multiple samples. We examined the associations between SUD and KTN1 SNPs in four independent population-based or family-based samples (n = 10,209). The potential regulatory effects of the risk alleles on the putamen GMVs, the effects of alcohol, nicotine, marijuana and cocaine on KTN1 mRNA expression, and the relationship between KTN1 mRNA expression and SUD were explored. We found that a total of 23 SNPs were associated with SUD across at least two independent samples (1.4 × 10-4 ≤ p ≤ 0.049), including one SNP (rs12895072) across three samples (8.8 × 10-3 ≤ p ≤ 0.049). Four other SNPs were significantly or suggestively associated with SUD only in European-Australians (4.8 × 10-4 ≤ p ≤ 0.058). All of the SUD-risk alleles of these 27 SNPs increased (β > 0) the putamen GMVs and represented major alleles (f > 0.5) in Europeans. Twenty-two SNPs were potentially biologically functional. Alcohol, nicotine and cocaine significantly affected the KTN1 mRNA expression, and the KTN1 mRNA was differentially expressed between nicotine or cocaine dependent and control subjects. We concluded that there was a replicable and robust relationship among the KTN1 variants, KTN1 mRNA expression, putamen GMVs, molecular effects of substances, and SUD, suggesting that some risk KTN1 alleles might increase kinectin 1 expression in the putamen, altering putamen structures and functions, and leading to SUD.
© 2020 Society for the Study of Addiction.

Entities:  

Keywords:  KTN1; alcohol; cocaine; gray matter volume (GMV); mRNA expression; marijuana; nicotine; putamen; substance use disorder

Mesh:

Substances:

Year:  2020        PMID: 32115811      PMCID: PMC7641293          DOI: 10.1111/adb.12888

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.280


  46 in total

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4.  Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor.

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Journal:  Bioinformatics       Date:  2010-06-18       Impact factor: 6.937

5.  Microarray characterization of gene expression changes in blood during acute ethanol exposure.

Authors:  Doris M Kupfer; Vicky L White; David L Strayer; Dennis J Crouch; Dennis Burian
Journal:  BMC Med Genomics       Date:  2013-07-25       Impact factor: 3.063

6.  Leveraging genome characteristics to improve gene discovery for putamen subcortical brain structure.

Authors:  Chi-Hua Chen; Yunpeng Wang; Min-Tzu Lo; Andrew Schork; Chun-Chieh Fan; Dominic Holland; Karolina Kauppi; Olav B Smeland; Srdjan Djurovic; Nilotpal Sanyal; Derrek P Hibar; Paul M Thompson; Wesley K Thompson; Ole A Andreassen; Anders M Dale
Journal:  Sci Rep       Date:  2017-11-16       Impact factor: 4.379

7.  SNPinfo: integrating GWAS and candidate gene information into functional SNP selection for genetic association studies.

Authors:  Zongli Xu; Jack A Taylor
Journal:  Nucleic Acids Res       Date:  2009-05-05       Impact factor: 16.971

8.  Genetic variability in the regulation of gene expression in ten regions of the human brain.

Authors:  Adaikalavan Ramasamy; Daniah Trabzuni; Sebastian Guelfi; Vibin Varghese; Colin Smith; Robert Walker; Tisham De; Lachlan Coin; Rohan de Silva; Mark R Cookson; Andrew B Singleton; John Hardy; Mina Ryten; Michael E Weale
Journal:  Nat Neurosci       Date:  2014-08-31       Impact factor: 24.884

9.  A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

Authors:  Bryan N Howie; Peter Donnelly; Jonathan Marchini
Journal:  PLoS Genet       Date:  2009-06-19       Impact factor: 5.917

10.  Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium.

Authors:  S Stringer; C C Minică; K J H Verweij; H Mbarek; M Bernard; J Derringer; K R van Eijk; J D Isen; A Loukola; D F Maciejewski; E Mihailov; P J van der Most; C Sánchez-Mora; L Roos; R Sherva; R Walters; J J Ware; A Abdellaoui; T B Bigdeli; S J T Branje; S A Brown; M Bruinenberg; M Casas; T Esko; I Garcia-Martinez; S D Gordon; J M Harris; C A Hartman; A K Henders; A C Heath; I B Hickie; M Hickman; C J Hopfer; J J Hottenga; A C Huizink; D E Irons; R S Kahn; T Korhonen; H R Kranzler; K Krauter; P A C van Lier; G H Lubke; P A F Madden; R Mägi; M K McGue; S E Medland; W H J Meeus; M B Miller; G W Montgomery; M G Nivard; I M Nolte; A J Oldehinkel; Z Pausova; B Qaiser; L Quaye; J A Ramos-Quiroga; V Richarte; R J Rose; J Shin; M C Stallings; A I Stiby; T L Wall; M J Wright; H M Koot; T Paus; J K Hewitt; M Ribasés; J Kaprio; M P Boks; H Snieder; T Spector; M R Munafò; A Metspalu; J Gelernter; D I Boomsma; W G Iacono; N G Martin; N A Gillespie; E M Derks; J M Vink
Journal:  Transl Psychiatry       Date:  2016-03-29       Impact factor: 6.222

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  2 in total

1.  KTN1 Variants Underlying Putamen Gray Matter Volumes and Parkinson's Disease.

Authors:  Qiao Mao; Xiaoping Wang; Bin Chen; Longhua Fan; Shuhong Wang; Yong Zhang; Xiandong Lin; Yuping Cao; Yun-Cheng Wu; Jiawu Ji; Jianying Xu; Jianming Zheng; Huihao Zhang; Chengchou Zheng; Wenzhong Chen; Wenhong Cheng; Xingqun Luo; Kesheng Wang; Lingjun Zuo; Longli Kang; Chiang-Shan R Li; Xingguang Luo
Journal:  Front Neurosci       Date:  2020-06-23       Impact factor: 4.677

2.  KTN1 variants and risk for attention deficit hyperactivity disorder.

Authors:  Xingguang Luo; Xiaoyun Guo; Yunlong Tan; Yong Zhang; Rolando Garcia-Milian; Zhiren Wang; Jing Shi; Ting Yu; Jiawu Ji; Xiaoping Wang; Jianying Xu; Huihao Zhang; Lingjun Zuo; Lu Lu; Kesheng Wang; Chiang-Shan R Li
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2020-03-19       Impact factor: 3.568

  2 in total

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