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Background: DNA methylation changes in peripheral blood have recently been identified in relation to lung cancer risk. Some of these changes have been suggested to mediate part of the effect of smoking on lung cancer. However, limitations with conventional mediation analyses mean that the causal nature of these methylation changes has yet to be fully elucidated.Methods: We first performed a meta-analysis of four epigenome-wide association studies (EWAS) of lung cancer (918 cases, 918 controls). Next, we conducted a two-sample Mendelian randomization analysis, using genetic instruments for methylation at CpG sites identified in the EWAS meta-analysis, and 29 863 cases and 55 586 controls from the TRICL-ILCCO lung cancer consortium, to appraise the possible causal role of methylation at these sites on lung cancer.Results: Sixteen CpG sites were identified from the EWAS meta-analysis [false discovery rate (FDR) < 0.05], for 14 of which we could identify genetic instruments. Mendelian randomization provided little evidence that DNA methylation in peripheral blood at the 14 CpG sites plays a causal role in lung cancer development (FDR > 0.05), including for cg05575921-AHRR where methylation is strongly associated with both smoke exposure and lung cancer risk.Conclusions: The results contrast with previous observational and mediation analysis, which have made strong claims regarding the causal role of DNA methylation. Thus, previous suggestions of a mediating role of methylation at sites identified in peripheral blood, such as cg05575921-AHRR, could be unfounded. However, this study does not preclude the possibility that differential DNA methylation at other sites is causally involved in lung cancer development, especially within lung tissue. [ABSTRACT FROM AUTHOR]

Background: Observational studies have shown that tobacco and alcohol use co-occur, but it is not clear whether this relationship is causal.Methods: Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and UK Biobank, we used observational methods to test the hypothesis that smoking heaviness increases alcohol consumption. Mendelian randomization (MR) analyses were then used to test the causal relationship between smoking heaviness and alcohol consumption using 55 967 smokers from four European studies [ALSPAC, The Nord-Trøndelag Health Study (HUNT), the Copenhagen General Population Study (CGPS) and UK Biobank]. MR analyses used rs1051730/rs16969968 as a genetic proxy for smoking heaviness.Results: Observational results provided evidence of an association between cigarettes per day and weekly alcohol consumption (increase in units of alcohol per additional cigarette smoked per day = 0.10, 95% confidence interval (CI) 0.05 to 0.15, P ≤ 0.001 in ALSPAC; and 0.48, 95% CI 0.45 to 0.52, P ≤ 0.001 in UK Biobank). However, there was little evidence for an association between rs1051730/rs16969968 and units of alcohol consumed per week across ALSPAC, HUNT, CGPS and UK Biobank (standard deviation increase in units of alcohol per additional copy of the risk allele = -0.004, 95% CI -0.023 to 0.016, P=0.708, I2 = 51.9%). We had 99% and 88% power to detect a change of 0.03 and 0.02 standard deviation units of alcohol per additional copy of the risk allele, respectively.Conclusions: Previously reported associations between smoking and alcohol are unlikely to be causal, and may be the result of confounding and/or reverse causation. This has implications for public health research and intervention research. [ABSTRACT FROM AUTHOR]

Background: Results from randomized controlled trials (RCTs) have raised concern that the cholesterol-lowering drug ezetimibe might increase the risk of cancer. We tested the hypothesis that genetic variation in NPC1L1, mimicking treatment with ezetimibe, was associated with an increased risk of cancer.Methods: We included 67 257 individuals from the general population. Of these, 8333 developed cancer and 2057 died of cancer from 1968 to 2011. To mimic the effect of ezetimibe, we calculated weighted allele scores based on the low-density lipoprotein (LDL) cholesterol-lowering(= NPC1L1-inhibitory) effect of each variant. We tested the associations of the NPC1L1 allele scores with LDL cholesterol and with risk of any cancer, death from any cancer and 27 site-specific cancers. As a positive control, we tested the association of the NPC1L1 allele scores with risk of ischaemic vascular disease (IVD).Results: The NPC1L1 allele scores did not associate with risk of any cancer, death from any cancer or with any of 27 site-specific cancers. Hazard ratios (HRs) for a 1-unit increase in internally weighted allele scores were 1.00 (95% confidence interval: 0.98-1.02) for any cancer, and 1.02 (0.98-1.06) for cancer death. The corresponding HR for IVD was 0.97 (0.94-0.99). Results were similar for an externally weighted allele score and for a simple allele count. Finally, the null association with cancer was robust in sensitivity analyses.Conclusions: Lifelong, genetic inhibition of NPC1L1, mimicking treatment with ezetimibe, does not associate with risk of cancer. These results suggest that long-term treatment with ezetimibe is unlikely to increase the risk of cancer, in agreement with the overall evidence from ezetimibe RCTs. [ABSTRACT FROM AUTHOR]

Background: Results regarding telomere length and cancer risk are conflicting. We tested the hypothesis that long telomeres are associated with increased risk of any cancer and specific cancer types in genetic and observational analyses.Methods: Individuals (N = 95 568) from the Copenhagen City Heart Study and the Copenhagen General Population Study had the telomere length-associated genotypes rs7726159 (TERT), rs1317082 (TERC), and rs2487999 (OBFC1) determined, and 65 176 had telomere length measured. A total of 10 895 individuals had had a cancer diagnosis. Endpoints were any cancer and 25 specific cancer types. We conducted Cox regression analyses and logistic regression analyses. The three genotypes were combined as an allele sum.Results: Telomere length increased 67 base-pairs [95% confidence interval (CI) 61-74] per allele. In logistic regression models, the per-allele odds ratio (OR) for cancer was 1.05 (95% CI 1.03-1.07) for the allele sum, 1.05 (1.02-1.09) for rs7726159, 1.05 (1.02-1.08) for rs1317082 and 1.07 (1.02-1.12) for rs2487999. In contrast, the hazard ratio for any cancer was 1.01 (1.00-1.01) per 200-base-pair increase in telomere length in multivariable adjusted observational analysis. In genetic analyses according to specific cancer types, the per-allele odds ratio was 1.19 (1.12-1.27) for melanoma and 1.14 (1.06-1.22) for lung cancer.Conclusions: Genetic determinants of long telomeres are associated with increased cancer risk, particularly melanoma and lung cancer. This genetic predisposition to enhanced telomere maintenance may represent a survival advantage for pre-cancerous cells, allowing for multiple cell divisions leading to cancer development. [ABSTRACT FROM AUTHOR]

Background: In the clinic, the combination of obesity and chronic obstructive pulmonary disease (COPD) has been increasing. However, whether high body mass index (BMI) affects the risk of exacerbations and pneumonias in individuals with COPD is presently unknown. Genetics can be used to assess the causal role of high BMI in exacerbations and pneumonias in individuals with COPD. We tested the hypothesis that high BMI is associated with an increased risk of exacerbations and pneumonias in individuals with COPD, both observationally and genetically.Methods: We genotyped 93 894 individuals of Danish descent, aged 20-100 years, from the Copenhagen General Population Study, for FTO (rs9939609), MC4R (rs17782313) and TMEM18 (rs6548238), and created an allele score. A total of 10 883 individuals had spirometric COPD with forced expiratory volume in 1 s (FEV1) / forced vital capacity (FVC) < lower limit of normal (LLN). In these individuals, we observed 1453 exacerbations and 3390 pneumonias during 4.7 years of follow-up.Results: For each increase in allele score, BMI was 0.28 kg/m2 [95% confidence interval (CI): 0.25-0.30) higher. Age- and sex-adjusted genetic hazard ratios (HRs) per one allele score increase in individuals with COPD were 1.13 (1.01-1.27) for exacerbations, 1.10 (1.03-1.19) for pneumonias and 1.12 (1.04-1.21) for exacerbations and/or pneumonias. Corresponding multivariable adjusted observational HRs per unit (kg/m2) BMI increase were 0.98 (0.95-1.01), 0.99 (0.96-1.03) and 0.99 (0.96-1.01), respectively.Conclusions: Genetically determined high BMI was associated with an increased risk of recurrent exacerbations and pneumonias in individuals with COPD, whereas this was not the case for observationally determined high BMI. The genetic data are compatible with the notion that high BMI leads to increased risk of exacerbations and pneumonias in individuals with COPD. [ABSTRACT FROM AUTHOR]

Background The aetiology of ischaemic heart disease (IHD) is complex and is influenced by a spectrum of environmental factors and susceptibility genes. Traditional statistical modelling considers such factors to act independently in an additive manner. The Patient Rule-Induction Method (PRIM) is a multi-model building strategy for evaluating risk attributable to context-dependent gene and environmental effects.Methods PRIM was applied to 9073 participants from the prospective Copenhagen City Heart Study (CCHS). Gender-specific cumulative incidences were estimated for subgroups defined by categories of age, smoking, hypertension, diabetes, body mass index, total cholesterol, high-density lipoprotein cholesterol and triglycerides and by 94 single nucleotide variants (SNVs).Cumulative incidences for subgroups were validated using an independently ascertained sample of 58 240 participants from the Copenhagen General Population Study (CGPS).Results In the CCHS the overall cumulative incidences were 0.17 in women and 0.21 in men. PRIM identified six and four mutually exclusive subgroups in women and men, respectively, with cumulative incidences of IHD ranging from 0.02 to 0.34. Cumulative incidences of IHD generated by PRIM in the CCHS were validated in four of the six subgroups of women and two of the four subgroups of men in the CGPS.Conclusions PRIM identified high-risk subgroups characterized by specific contexts of selected values of traditional risk factors and genetic variants. These subgroups were validated in an independently ascertained cohort study. Thus, a multi-model strategy may identify groups of individuals with substantially higher risk of IHD than the overall risk for the general population. [ABSTRACT FROM PUBLISHER]

Background: Observationally, reports on the association between milk intake and risk of ischaemic heart disease (IHD) and myocardial infarction (MI) have produced conflicting results; and no previous large-scale study using the lactase persistent/non-persistent LCT-13910 C/T genotype as a largely unconfounded proxy for milk intake free of reverse causation has been conducted. We tested the hypothesis that milk intake observationally and genetically through the LCT-13910 C/T genotype is associated with risk of IHD and MI in a Mendelian randomization design., Methods: We included 98,529 White individuals of Danish descent, aged 20-100 years, from three studies of the general population. Information on IHD (N = 10,372) and MI (N = 4188) were obtained from national Danish registries. First, we investigated observational associations between milk intake and incident IHD and MI. Second, we confirmed the association between the rs4988235 genetic variant LCT-13910 C/T, associated with lactase persistence/non-persistence, and milk intake. Finally, we tested whether LCT-13910 C/T genotype was associated with risk of IHD and MI as well as with cardiovascular risk factors., Results: During a mean follow-up time of 5.4 years, the observational hazard ratio for a 1 glass/week higher milk intake was 1.00 [95% confidence interval (CI): 1.00,1.01] for both IHD and MI. Median milk intake was 3 glasses/week (interquartile range: 0-7) in lactase CC non-persistent individuals compared with 5 glasses/week (0-10) in lactase TC/TT persistent individuals (P = 3*10(-60)). In the dominant genetic model comparing lactase TC/TT persistent individuals with lactase CC non-persistent individuals, the odds ratio was 1.00 (0.92,1.09) for IHD and 0.96 (0.84,1.09) for MI. Finally, in the dominant genetic model genotype was not associated convincingly with plasma levels of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides or glucose, nor with blood pressure., Conclusion: Milk intake was not associated with risk of IHD or MI, observationally or genetically., (© The Author 2015; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Background: High cumulative tobacco consumption is associated with short telomeres and with increased all-cause mortality. We tested the hypothesis that high tobacco consumption is causally associated with short telomeres and with increased all-cause mortality., Methods: We studied 55,568 individuals including 32,823 ever smokers from the Danish general population, of whom 3430 died during 10 years of follow-up. All had telomere length measured, detailed information on smoking history, and CHRNA3 rs1051730 genotype, which is associated with tobacco consumption, determined. In a Mendelian randomization study, we conducted observational, genetic, and mediation analyses., Results: First, tobacco consumption was 21.1 pack-years in non-carriers, 22.8 in heterozygotes and 24.8 in homozygotes (P-trend<0.001). Second, the observational multivariable adjusted hazard ratio for all-cause mortality was 1.12 [95% confidence interval (CI): 1.09, 1.15] per doubling in tobacco consumption. In Mendelian randomization analysis, the hazard ratio was 1.08 (1.02, 1.14) per minor CHRNA3 allele in ever smokers. Third, in observational analysis telomeres shortened with -13 base pairs (-18, -8) per doubling in tobacco consumption. In Mendelian randomization analysis, the estimate was +3 base pairs (-10, +15) per minor CHRNA3 allele. Finally, individuals with the shortest vs longest telomeres had a multivariable adjusted hazard ratio of 1.30 (1.13, 1.50) for all-cause mortality; however, in mediation analysis short telomeres explained only +0.4% (-3.5%, +4.3%) of the association between high tobacco consumption and increased all-cause mortality., Conclusions: High tobacco consumption is causally associated with increased all-cause mortality. High cumulative tobacco consumption is associated with short telomeres observationally, but there is no clear genetic association., (© The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)