14 research outputs found
Mendelian randomisation study of smoking exposure in relation to breast cancer risk
Abstract
Background
Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk.
Methods
We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy.
Results
Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07–1.30, P = 0.11 × 10–2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78–1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect.
Conclusion
Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers
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Understanding Relationships Between Autism, Intelligence, and Epilepsy: A Cross-Disorder Approach
Aim
As relationships between autistic traits, epilepsy, and cognitive functioning remain poorly understood, these associations were explored in the biologically related disorders tuberous sclerosis complex (TSC), neurofibromatosis type 1 (NF1), and epilepsy.
Method
The Social Responsiveness Scale (SRS), a quantitative measure of autistic traits, was distributed to caregivers or companions of patients with TSC, NF1, and childhood-onset epilepsy of unknown cause (EUC), and these results were compared with SRS data from individuals with idiopathic autism spectrum disorders (ASDs) and their unaffected siblings. Scores and trait profiles of autistic features were compared with cognitive outcomes, epilepsy variables, and genotype.
Results
A total of 180 SRS questionnaires were filled out in the TSC, NF1, and EUC outpatient clinics at the Massachusetts General Hospital (90 females, 90 males; mean age 21y, range 4–63y), and SRS data from 210 patients with ASD recruited from an autism research collaboration (167 males, 43 females; mean age 9y range 4–22y) and 130 unaffected siblings were available. Regression models showed a significant association between SRS scores and intelligence outcomes (p<0.001) and various seizure variables (p<0.02), but not with a specific underlying disorder or genotype. The level of autistic features was strongly associated with intelligence outcomes in patients with TSC and epilepsy (p<0.01); in patients with NF1 these relationships were weaker (p=0.25). For all study groups, autistic trait subdomains covaried with neurocognitive comorbidity, with endophenotypes similar to that of idiopathic autism.
Interpretation
Our data show that in TSC and childhood-onset epilepsy, the severity and phenotype of autistic features are inextricably linked with intelligence and epilepsy outcomes. Such relationships were weaker for individuals with NF1. Findings suggest that ASDs are not specific for these conditions
Do Multinationals Influence Labor Standards? A Close Look at US Outward FDI
This paper investigates the effects of multinational corporations on labor standards. We argue that the previous literature has failed to distinguish the different motives that encourage fi rms to become multinational. Therefore, we build a stylized model of segmented labor markets with equilibrium unemployment where parts of the labor force are willing to accept reductions in their labor standards to attract job-creating horizontal foreign direct investment. By disentangling US FDI data for 34 advanced host countries throughout the period 1997 to 2002 into vertically and horizontally motivated FDI, we show that this disaggregation provides much more signifi cant results. Concretely, we find a statistically signifi cant and economically considerable negative impact of horizontal US FDI on labor right practices in industrialized host countries by using a static OLS model and qualitatively similar results with dynamic GMM estimation. Our results do not imply that this effect leads to a decrease in welfare in the host economy but that in the welfare optimization process employment, income and job-quality serve as substitutes with an elasticity positively depending on equilibrium unemployment