Tobacco smoking continues to be the largest preventable cause of premature morbidity and mortality throughout the world, including chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease. Although most smokers are highly motivated to quit and many smoking cessation therapies are available, cessation rates remain very low.Recent research strongly suggests that variation in genetic background is an important determinant of smoking behaviour and addiction. Since these genetic variants might also influence the response to smoking cessation pharmacotherapies, it is likely that assessment of genetic background could be a promising tool to guide selection of the most effective cessation treatment for an individual smoker. Recently, it has been shown that genetic variants in the dopaminergic system, opioid receptors, the bupropion-metabolising enzyme CYP2B6 and the nicotine-metabolising enzyme CYP2A6 may play an important role in predicting smoking cessation responses to nicotine replacement therapy and bupropion treatment. Despite the progress that has been made, several challenges will still have to be overcome before genetically tailored smoking cessation therapy can be implemented in standard clinical practice.

This systematic review does not provide solid evidence for the proposed beneficial effects of genetic testing for smoking-related diseases on smoking cessation, but does suggest the presence of an immediate motivational effect, such that genetic testing resulted in higher risk perception and more motivation to quit smoking.

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In this unique prospective study, we demonstrated that ICAM1 is associated with asthma development on DNA, mRNA, and protein level. Thus, ICAM1 is likely to be involved in the development of childhood asthma.

Bupropion and nortriptyline seem to be more effective in smoking cessation among SLC6A4 high-activity variant carriers, probably by blocking the increased serotonin transporter activity, thereby increasing serotonin levels. Prospective studies have to assess if this can improve cessation rates when treatment is targeted at individuals based on their genotypes.