Literature DB >> 33440997

Genetically Determined Smoking Behavior and Risk of Nontraumatic Subarachnoid Hemorrhage.

Julián N Acosta1, Natalia Szejko1,2,3, Cameron P Both1, Kevin Vanent1, Rommell B Noche1, Thomas M Gill4, Charles C Matouk5, Kevin N Sheth1, Murat Gunel, Guido J Falcone1.   

Abstract

BACKGROUND AND
PURPOSE: Animal and observational studies indicate that smoking is a risk factor for aneurysm formation and rupture, leading to nontraumatic subarachnoid hemorrhage (SAH). However, a definitive causal relationship between smoking and the risk of SAH has not been established. Using Mendelian randomization (MR) analyses, we tested the hypothesis that smoking is causally linked to the risk of SAH.
METHODS: We conducted a 1-sample MR study using data from the UK Biobank, a large cohort study that enrolled over 500 000 Britons aged 40 to 69 from 2006 to 2010. Participants of European descent were included. SAH cases were ascertained using a combination of self-reported, electronic medical record, and death registry data. As the instrument, we built a polygenic risk score using independent genetic variants known to associate (P<5×10-8) with smoking behavior. This polygenic risk score represents the genetic susceptibility to smoking initiation. The primary MR analysis utilized the ratio method. Secondary MR analyses included the inverse variance weighted and weighted median methods.
RESULTS: A total of 408 609 study participants were evaluated (mean age, 57 [SD 8], female sex, 220 937 [54%]). Among these, 132 566 (32%) ever smoked regularly, and 904 (0.22%) had a SAH. Each additional SD of the smoking polygenic risk score was associated with 21% increased risk of smoking (odds ratio [OR], 1.21 [95% CI, 1.20-1.21]; P<0.001) and a 10% increased risk of SAH (OR, 1.10 [95% CI, 1.03-1.17]; P=0.006). In the primary MR analysis, genetic susceptibility to smoking was associated with a 63% increase in the risk of SAH (OR, 1.63 [95% CI, 1.15-2.31]; P=0.006). Secondary analyses using the inverse variance weighted method (OR, 1.57 [95% CI, 1.13-2.17]; P=0.007) and the weighted median method (OR, 1.74 [95% CI, 1.06-2.86]; P=0.03) yielded similar results. There was no significant pleiotropy (MR-Egger intercept P=0.39; MR Pleiotropy Residual Sum and Outlier global test P=0.69).
CONCLUSIONS: These findings provide evidence for a causal link between smoking and the risk of SAH.

Entities:  

Keywords:  genetic variation; hemorrhagic stroke; intracranial aneurysm; subarachnoid hemorrhage

Mesh:

Year:  2021        PMID: 33440997      PMCID: PMC7856108          DOI: 10.1161/STROKEAHA.120.031622

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  26 in total

Review 1.  Modifiable risk factors for aneurysmal subarachnoid hemorrhage.

Authors:  Trine H Andreasen; Jiri Bartek; Morten Andresen; Jacob B Springborg; Bertil Romner
Journal:  Stroke       Date:  2013-11-05       Impact factor: 7.914

Review 2.  Spontaneous subarachnoid haemorrhage.

Authors:  R Loch Macdonald; Tom A Schweizer
Journal:  Lancet       Date:  2016-09-13       Impact factor: 79.321

3.  Mendelian Randomization.

Authors:  Sandeep Grover; Fabiola Del Greco M; Catherine M Stein; Andreas Ziegler
Journal:  Methods Mol Biol       Date:  2017

4.  Cigarette smoking and alcohol consumption as risk factors for aneurysmal subarachnoid hemorrhage.

Authors:  S Juvela; M Hillbom; H Numminen; P Koskinen
Journal:  Stroke       Date:  1993-05       Impact factor: 7.914

5.  Sex, Smoking, and Risk for Subarachnoid Hemorrhage.

Authors:  Joni Valdemar Lindbohm; Jaakko Kaprio; Pekka Jousilahti; Veikko Salomaa; Miikka Korja
Journal:  Stroke       Date:  2016-08       Impact factor: 7.914

6.  Association of intracranial aneurysm rupture with smoking duration, intensity, and cessation.

Authors:  Anil Can; Victor M Castro; Yildirim H Ozdemir; Sarajune Dagen; Sheng Yu; Dmitriy Dligach; Sean Finan; Vivian Gainer; Nancy A Shadick; Shawn Murphy; Tianxi Cai; Guergana Savova; Ruben Dammers; Scott T Weiss; Rose Du
Journal:  Neurology       Date:  2017-08-30       Impact factor: 9.910

7.  Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases.

Authors:  Marie Verbanck; Chia-Yen Chen; Benjamin Neale; Ron Do
Journal:  Nat Genet       Date:  2018-04-23       Impact factor: 38.330

8.  Smoking and stroke: A mendelian randomization study.

Authors:  Susanna C Larsson; Stephen Burgess; Karl Michaëlsson
Journal:  Ann Neurol       Date:  2019-07-03       Impact factor: 10.422

Review 9.  Cigarette smoke and inflammation: role in cerebral aneurysm formation and rupture.

Authors:  Nohra Chalouhi; Muhammad S Ali; Robert M Starke; Pascal M Jabbour; Stavropoula I Tjoumakaris; L Fernando Gonzalez; Robert H Rosenwasser; Walter J Koch; Aaron S Dumont
Journal:  Mediators Inflamm       Date:  2012-12-13       Impact factor: 4.711

10.  The UK Biobank resource with deep phenotyping and genomic data.

Authors:  Clare Bycroft; Colin Freeman; Desislava Petkova; Gavin Band; Lloyd T Elliott; Kevin Sharp; Allan Motyer; Damjan Vukcevic; Olivier Delaneau; Jared O'Connell; Adrian Cortes; Samantha Welsh; Alan Young; Mark Effingham; Gil McVean; Stephen Leslie; Naomi Allen; Peter Donnelly; Jonathan Marchini
Journal:  Nature       Date:  2018-10-10       Impact factor: 49.962

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  1 in total

1.  A two-sample Mendelian randomization analysis of modifiable risk factors and intracranial aneurysms.

Authors:  Tao Huang; Dongsheng Fan; Danyang Tian; Linjing Zhang; Zhenhuang Zhuang
Journal:  Sci Rep       Date:  2022-05-10       Impact factor: 4.996

  1 in total

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