Literature DB >> 32645681

Stability in effects of different smoking-related polygenic risk scores over age and smoking phenotypes.

Arielle R Deutsch1, Arielle S Selya2.   

Abstract

PURPOSE: Polygenic risk scores (PRSs) for smoking behavior largely fail to consider the demonstrated developmental change in genetic influence over age and stage of smoking behaviors. Additionally, few studies have examined how stage-specific smoking PRSs (e.g. for initiation vs. smoking heaviness) generalize to other stages of risk. The current study examines the stability of PRS effects over age, and how specifically calibrated PRSs associate with other smoking phenotypes.
METHODS: 7228 participants were from the National Longitudinal Study of Adolescent to Adult Health, who had calculated PRSs for two smoking phenotypes, Centers for Disease Control and Prevention (CDC) smoking initiation status, and cigarettes per day (CPD). Four time-varying effects models estimated associations between both PRSs and four smoking phenotypes (CDC status, cigarettes/day on smoking days, any past-30 day smoking, and past-30 day daily smoking) over adolescence and young adulthood.
FINDINGS: The time-varying effects models demonstrated that both PRSs significantly associated with all four phenotypes age. PRS effects were similar, in both odds ratios and the overlap of 95 % confidence intervals. There were increases in PRS associations with quantity of smoking over age, and a decrease in PRS effects over age for the CDC smoking status phenotype over early to late adolescence.
CONCLUSIONS: Smoking PRSs can be robust predictors of smoking behavior over age. However, the lack of differentiation between specific PRSs and multiple smoking phenotypes, as well as the added contribution of both PRSs to explaining genetic variance, indicates a need to reconceptualize phenotypic measurement used to calibrate smoking PRSs.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Genetics; Polygenic risk; Time varying models; Tobacco

Mesh:

Year:  2020        PMID: 32645681      PMCID: PMC7423706          DOI: 10.1016/j.drugalcdep.2020.108154

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  39 in total

1.  The role of genes in tobacco smoking during adolescence and young adulthood: a multivariate behaviour genetic investigation.

Authors:  Victoria M White; John L Hopper; Alexander J Wearing; David J Hill
Journal:  Addiction       Date:  2003-08       Impact factor: 6.526

2.  Cigarette smoking among adults--United States, 2007.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2008-11-14       Impact factor: 17.586

3.  Relationship between CYP2A6 and CHRNA5-CHRNA3-CHRNB4 variation and smoking behaviors and lung cancer risk.

Authors:  Catherine A Wassenaar; Qiong Dong; Qingyi Wei; Christopher I Amos; Margaret R Spitz; Rachel F Tyndale
Journal:  J Natl Cancer Inst       Date:  2011-07-11       Impact factor: 13.506

4.  Age of smoking milestones: longitudinal inconsistencies and recanting.

Authors:  Christine Elizabeth Kaestle
Journal:  J Adolesc Health       Date:  2015-02-03       Impact factor: 5.012

5.  A time-varying effect model for studying gender differences in health behavior.

Authors:  Songshan Yang; James A Cranford; Runze Li; Robert A Zucker; Anne Buu
Journal:  Stat Methods Med Res       Date:  2015-10-16       Impact factor: 3.021

6.  TTC12-ANKK1-DRD2 and CHRNA5-CHRNA3-CHRNB4 influence different pathways leading to smoking behavior from adolescence to mid-adulthood.

Authors:  Francesca Ducci; Marika Kaakinen; Anneli Pouta; Anna-Liisa Hartikainen; Juha Veijola; Matti Isohanni; Pimphen Charoen; Lachlan Coin; Clive Hoggart; Jesper Ekelund; Leena Peltonen; Nelson Freimer; Paul Elliott; Gunter Schumann; Marjo-Riitta Järvelin
Journal:  Biol Psychiatry       Date:  2010-12-17       Impact factor: 13.382

7.  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.

Authors:  Lun-Hsien Chang; John B Whitfield; Mengzhen Liu; Sarah E Medland; Ian B Hickie; Nicholas G Martin; Brad Verhulst; Andrew C Heath; Pamela A Madden; Dixie J Statham; Nathan A Gillespie
Journal:  Drug Alcohol Depend       Date:  2019-11-02       Impact factor: 4.492

8.  Improving polygenic risk prediction from summary statistics by an empirical Bayes approach.

Authors:  Hon-Cheong So; Pak C Sham
Journal:  Sci Rep       Date:  2017-02-01       Impact factor: 4.379

9.  Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci.

Authors:  A Mesut Erzurumluoglu; Mengzhen Liu; Victoria E Jackson; Martin D Tobin; Scott Vrieze; Dajiang J Liu; Joanna M M Howson; Daniel R Barnes; Gargi Datta; Carl A Melbourne; Robin Young; Chiara Batini; Praveen Surendran; Tao Jiang; Sheikh Daud Adnan; Saima Afaq; Arpana Agrawal; Elisabeth Altmaier; Antonis C Antoniou; Folkert W Asselbergs; Clemens Baumbach; Laura Bierut; Sarah Bertelsen; Michael Boehnke; Michiel L Bots; David M Brazel; John C Chambers; Jenny Chang-Claude; Chu Chen; Janie Corley; Yi-Ling Chou; Sean P David; Rudolf A de Boer; Christiaan A de Leeuw; Joe G Dennis; Anna F Dominiczak; Alison M Dunning; Douglas F Easton; Charles Eaton; Paul Elliott; Evangelos Evangelou; Jessica D Faul; Tatiana Foroud; Alison Goate; Jian Gong; Hans J Grabe; Jeff Haessler; Christopher Haiman; Göran Hallmans; Anke R Hammerschlag; Sarah E Harris; Andrew Hattersley; Andrew Heath; Chris Hsu; William G Iacono; Stavroula Kanoni; Manav Kapoor; Jaakko Kaprio; Sharon L Kardia; Fredrik Karpe; Jukka Kontto; Jaspal S Kooner; Charles Kooperberg; Kari Kuulasmaa; Markku Laakso; Dongbing Lai; Claudia Langenberg; Nhung Le; Guillaume Lettre; Anu Loukola; Jian'an Luan; Pamela A F Madden; Massimo Mangino; Riccardo E Marioni; Eirini Marouli; Jonathan Marten; Nicholas G Martin; Matt McGue; Kyriaki Michailidou; Evelin Mihailov; Alireza Moayyeri; Marie Moitry; Martina Müller-Nurasyid; Aliya Naheed; Matthias Nauck; Matthew J Neville; Sune Fallgaard Nielsen; Kari North; Markus Perola; Paul D P Pharoah; Giorgio Pistis; Tinca J Polderman; Danielle Posthuma; Neil Poulter; Beenish Qaiser; Asif Rasheed; Alex Reiner; Frida Renström; John Rice; Rebecca Rohde; Olov Rolandsson; Nilesh J Samani; Maria Samuel; David Schlessinger; Steven H Scholte; Robert A Scott; Peter Sever; Yaming Shao; Nick Shrine; Jennifer A Smith; John M Starr; Kathleen Stirrups; Danielle Stram; Heather M Stringham; Ioanna Tachmazidou; Jean-Claude Tardif; Deborah J Thompson; Hilary A Tindle; Vinicius Tragante; Stella Trompet; Valerie Turcot; Jessica Tyrrell; Ilonca Vaartjes; Andries R van der Leij; Peter van der Meer; Tibor V Varga; Niek Verweij; Henry Völzke; Nicholas J Wareham; Helen R Warren; David R Weir; Stefan Weiss; Leah Wetherill; Hanieh Yaghootkar; Ersin Yavas; Yu Jiang; Fang Chen; Xiaowei Zhan; Weihua Zhang; Wei Zhao; Wei Zhao; Kaixin Zhou; Philippe Amouyel; Stefan Blankenberg; Mark J Caulfield; Rajiv Chowdhury; Francesco Cucca; Ian J Deary; Panos Deloukas; Emanuele Di Angelantonio; Marco Ferrario; Jean Ferrières; Paul W Franks; Tim M Frayling; Philippe Frossard; Ian P Hall; Caroline Hayward; Jan-Håkan Jansson; J Wouter Jukema; Frank Kee; Satu Männistö; Andres Metspalu; Patricia B Munroe; Børge Grønne Nordestgaard; Colin N A Palmer; Veikko Salomaa; Naveed Sattar; Timothy Spector; David Peter Strachan; Pim van der Harst; Eleftheria Zeggini; Danish Saleheen; Adam S Butterworth; Louise V Wain; Goncalo R Abecasis; John Danesh
Journal:  Mol Psychiatry       Date:  2019-01-07       Impact factor: 13.437

10.  Polygenic risk and the developmental progression to heavy, persistent smoking and nicotine dependence: evidence from a 4-decade longitudinal study.

Authors:  Daniel W Belsky; Terrie E Moffitt; Timothy B Baker; Andrea K Biddle; James P Evans; HonaLee Harrington; Renate Houts; Madeline Meier; Karen Sugden; Benjamin Williams; Richie Poulton; Avshalom Caspi
Journal:  JAMA Psychiatry       Date:  2013-05       Impact factor: 21.596

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