Genetic scores of smoking behaviour in a Chinese population
This study sought to structure a genetic score for smoking behaviour in a Chinese population. Single-nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS) were evaluated in a community-representative sample (N = 3,553) of Beijing, China. The candidate SNPs were tested in four genetic models (dominance model, recessive model, heterogeneous codominant model and additive model), and 7 SNPs were selected to structure a genetic score. A total of 3,553 participants (1,477 males and 2,076 females) completed the survey. Using the unweighted score, we found that participants with a high genetic score had a 34% higher risk of trying smoking and a 43% higher risk of SI at ≤18 years of age after adjusting for age, gender, education, occupation, ethnicity, body mass index (BMI) and sports activity time. The unweighted genetic scores were chosen to best extrapolate and understand these results. Importantly, genetic score was significantly associated with smoking behaviour (smoking status and SI at ≤18 years of age). These results have the potential to guide relevant health education for individuals with high genetic scores and promote the process of smoking control to improve the health of the population.
[…] HAPLOVIEW software version 4.2 (http:// www.broadinstitute.org/haploview) was used for analyses of Hardy-Weinberg equilibrium (HWE), LD and run tagger. SPSS version 19.0 (serial No. 5076595) was used for the data analysis. The significance level for all tests was set at a two-tailed α value of 0.05. The differences in means and proportions were tested using t-tests and chi-squared tests, respectively. Logistic regression models were used to identify the odds ratio (OR) of the genetic score for smoking behaviour. […]
to analyse the site's operation and effectiveness, to display ads tailored to your interests
and to provide you with relevant promotional messages and other information about products,
events and services of ours or our sponsors and partner companies.
These cookies are needed for the site to work and to be optimized.
These cookies are needed to interact with the social network plugins on this site.
These cookies are used to track visitors across websites.
The intention is to display ads that are relevant and engaging for the users.
These cookies are needed in order to better understand how
this site is used and to improve the user experience.
At omicX, we believe trust is of the utmost importance. Transparency allows trust.
This is why we want you to understand what data we collect and how we use it.