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Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Author

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  • Albert Stuart Reece

    (Division of Psychiatry, University of Western Australia, Crawley, WA 6009, Australia
    School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia)

  • Gary Kenneth Hulse

    (Division of Psychiatry, University of Western Australia, Crawley, WA 6009, Australia
    School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia)

Abstract

Introduction: Laboratory data link cannabinoid exposure to chromosomal mis-segregation errors. Recent epidemiological reports confirm this link and raise concern that elevated chromosomal congenital anomaly rates (CCAR) may be occurring in Europe which is experiencing increased cannabis use, daily intensity of use and cannabinoid potency. Methods: CCAR data from Eurocat. Drug use data from the European Monitoring Centre for Drugs and Drug Addiction. Income from World Bank. Bivariate, multivariate, panel and geotemporospatial regressions analyzed. Inverse probability weighting of panel models and E-values used as major quantitative causal inferential methodologies. Results: In countries where daily cannabis use was rising the trend for CCA’s was upwards whereas in those where daily use was declining it was usually downwards ( p = 0.0002). In inverse probability weighted panel models terms for cannabis metrics were significant for chromosomal disorders, trisomies 21 and 13 and Klinefelters syndrome from p < 2.2 × 10 −16 . In spatiotemporal models cannabis terms were positive and significant for chromosomal disorders, genetic disorders, trisomies 21, 18 and 13, Turners and Klinefelters syndromes from 4.28 × 10 −6 , 5.79 × 10 −12 , 1.26 × 10 −11 , 1.12 × 10 −7 , 7.52 × 10 −9 , 7.19 × 10 −7 and 7.27 × 10 −7 . 83.7% of E-value estimates and 74.4% of minimum E-values (mEV) > 9 including four values each at infinity. Considering E-values: the sensitivity of the individual disorders was trisomy 13 > trisomy 21 > Klinefelters > chromosomal disorders > Turners > genetic syndromes > trisomy 18 with mEV’s 1.91 × 10 25 to 59.31; and daily cannabis use was the most powerful covariate (median mEV = 1.91 × 10 25 ). Conclusions: Data indicate that, consistent with reports from Hawaii, Canada, Colorado, Australia and USA, CCARs are causally and spatiotemporally related to metrics and intensity of cannabis exposure, directly impact 645 MB (21.5%) of the human genome and may implicate epigenomic-centrosomal mechanisms.

Suggested Citation

  • Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(18), pages 1-51, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11208-:d:908489
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    1. Warren Winick-Ng & Alexander Kukalev & Izabela Harabula & Luna Zea-Redondo & Dominik Szabó & Mandy Meijer & Leonid Serebreni & Yingnan Zhang & Simona Bianco & Andrea M. Chiariello & Ibai Irastorza-Azc, 2021. "Cell-type specialization is encoded by specific chromatin topologies," Nature, Nature, vol. 599(7886), pages 684-691, November.
    2. Wright, Marvin N. & Ziegler, Andreas, 2017. "ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i01).
    3. King L. Hung & Kathryn E. Yost & Liangqi Xie & Quanming Shi & Konstantin Helmsauer & Jens Luebeck & Robert Schöpflin & Joshua T. Lange & Rocío Chamorro González & Natasha E. Weiser & Celine Chen & Mar, 2021. "ecDNA hubs drive cooperative intermolecular oncogene expression," Nature, Nature, vol. 600(7890), pages 731-736, December.
    4. van der Wal, Willem M. & Geskus, Ronald B., 2011. "ipw: An R Package for Inverse Probability Weighting," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i13).
    5. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    6. Duygu Yilmaz & Audrey Furst & Karen Meaburn & Aleksandra Lezaja & Yanlin Wen & Matthias Altmeyer & Bernardo Reina-San-Martin & Evi Soutoglou, 2021. "Activation of homologous recombination in G1 preserves centromeric integrity," Nature, Nature, vol. 600(7890), pages 748-753, December.
    7. Cheng-Zhong Zhang & Alexander Spektor & Hauke Cornils & Joshua M. Francis & Emily K. Jackson & Shiwei Liu & Matthew Meyerson & David Pellman, 2015. "Chromothripsis from DNA damage in micronuclei," Nature, Nature, vol. 522(7555), pages 179-184, June.
    8. Kristin A. Knouse & Angelika Amon, 2015. "The micronucleus gets its big break," Nature, Nature, vol. 522(7555), pages 162-163, June.
    9. Karen J. Mackenzie & Paula Carroll & Carol-Anne Martin & Olga Murina & Adeline Fluteau & Daniel J. Simpson & Nelly Olova & Hannah Sutcliffe & Jacqueline K. Rainger & Andrea Leitch & Ruby T. Osborn & A, 2017. "cGAS surveillance of micronuclei links genome instability to innate immunity," Nature, Nature, vol. 548(7668), pages 461-465, August.
    10. Davide G. Berta & Heli Kuisma & Niko Välimäki & Maritta Räisänen & Maija Jäntti & Annukka Pasanen & Auli Karhu & Jaana Kaukomaa & Aurora Taira & Tatiana Cajuso & Sanna Nieminen & Rosa-Maria Penttinen , 2021. "Deficient H2A.Z deposition is associated with genesis of uterine leiomyoma," Nature, Nature, vol. 596(7872), pages 398-403, August.
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