No abstract

Consistent but indirect evidence has implicated genetic factors in smoking behavior1,2. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], β = 1.03, standard error (s.e.) = 0.053, P = 2.8 × 10−73). Two 10q25 SNPs (rs1329650[G], β = 0.367, s.e. = 0.059, P = 5.7 × 10−10; and rs1028936[A], β = 0.446, s.e. = 0.074, P = 1.3 × 10−9) and one 9q13 SNP in EGLN2 (rs3733829[G], β = 0.333, s.e. = 0.058, P = 1.0 × 10−8) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95% confidence interval (Cl) 1.04–1.08, P = 1.8 × 10−8). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95% Cl 1.08–1.18, P = 3.6 × 10−8) was significantly associated with smoking cessation.

Specialist infertility practice was studied in a group of 708 couples within a population of residents of a single health district in England. They represented an annual incidence of 1*2 couples for every 1000 of the population. At

There is uncertainty and limited recognition of the relationship between socioeconomic inequalities and oral cancer. We aimed to quantitatively assess the association between socioeconomic status (SES) and oral cancer incidence risk. A systematic review of casecontrol studies obtained published and unpublished estimates of the SES risk related to oral cancer. Studies were included which reported odds ratios (ORs) and corresponding 95% CIs of oral cancer with respect to SES, or if the estimates could be calculated or obtained. Meta-analyses were performed on subgroups: SES measure, age, sex, global region, development level, time-period and lifestyle factor adjustments; while sensitivity analyses were conducted based on study methodological issues. Forty-one studies provided 15,344 cases and 33,852 controls which met our inclusion criteria. Compared with individuals who were in high SES strata, the pooled ORs for the risk of developing oral cancer were 1.85 (95%CI 1.60, 2.15; n 5 37 studies) for those with low educational attainment; 1.84 (1.47, 2.31; n 5 14) for those with low occupational social class; and 2.41 (1.59, 3.65; n 5 5) for those with low income. Subgroup analyses showed that low SES was significantly associated with increased oral cancer risk in high and lower income-countries, across the world, and remained when adjusting for potential behavioural confounders. Inequalities persist but are perhaps reducing over recent decades. Oral cancer risk associated with low SES is significant and comparable to lifestyle risk factors. Our results provide evidence to steer health policy which focus on lifestyles factors toward an integrated approach incorporating measures designed to tackle the root causes of disadvantage. ' 2008 Wiley-Liss, Inc.Key words: meta-analysis; oral cancer; SES; socioeconomic status; systematic review In 2000, oral cancer (ICD-10 C00-06) was estimated to be the 8th most common cancer worldwide-with an estimated 267,000 new cases and 128,000 deaths, and with the greatest burden in developing countries. 1 Despite a wealth of literature on the effects of poverty and inequality on health, 2 the effect of socioeconomic circumstances on oral cancer is given little recognition in a predominant medical model approach to research and prevention on the risks of the disease. 3 Recent published work on the relationship between socioeconomic status (SES) and oral cancer has mainly been in the form of descriptive epidemiology studies linking routine registry data to census data. From such studies, increased risk of oral cancer appears associated with high levels of area-based socioeconomic deprivation, 4,5 although this was not reflected in a review of incidence studies from across the world which utilised mainly individual measures of SES. 6 Area-based measures are liable to the 'ecological fallacyÕ whereby individuals are allocated SES based on their area of residence. The few analytical studies to focus on SES have also been equivocal, and socioeconomic correlates have recently been found to be c...

We conducted a genome-wide association study of oral cavity and pharyngeal cancer in 6,034 cases and 6,585 controls from Europe, North America and South America; we detected 8 loci (P<5x10–8), 7 of which are novel for these cancer sites. Oral and pharyngeal cancers combined were associated with loci at 6p21.32 (rs3828805, HLA-DQB1), 10q26.13 (rs201982221, LHPP) and 11p15.4 (rs1453414, OR52N2/TRIM5). Oral cancer was associated with two new regions 2p23.3 (rs6547741, GPN1) and 9q34.12 (rs928674, LAMC3), and with known cancer loci: 9p21.3 (rs8181047, CDKN2B-AS1) and 5p15.33 (rs10462706, CLPTM1L). Oropharyngeal cancer associations were limited to the human leukocyte antigen (HLA) region and classical HLA allele imputation revealed a protective association with the class II haplotype DRB1*1301-DQA1*0103-DQB1*0603 (odds ratio (OR)=0.59, P=2.7x10–9). Stratified analyses on a subgroup of oropharyngeal cases with human papillomavirus (HPV) status indicated that this association was considerably stronger in HPV-positive (OR=0.23, P=1.6x10–6) compared to HPV-negative cancers (OR=0.75, P=0.16).

Alcohol is an important risk factor for upper aerodigestive cancers and is principally metabolized by alcohol dehydrogenase (ADH) enzymes. We have investigated six ADH genetic variants in over 3,800 aerodigestive cancer cases and 5,200 controls from three individual studies. Gene variants rs1229984 (ADH1B) and rs1573496 (ADH7) were significantly protective against aerodigestive cancer in each individual study and overall (P ¼ 10 À10 and 10 À9 , respectively). These effects became more apparent with increasing alcohol consumption (P for trend ¼ 0.0002 and 0.065, respectively). Both gene effects were independent of each other, implying that multiple ADH genes may be involved in upper aerodigestive cancer etiology.The alcohol dehydrogenase (ADH) pathway includes seven distinct ADH genes, a key candidate gene group for aerodigestive cancers 1-3 .Studies of aerodigestive cancer in populations of European origin have focused on ADH1C with little evidence of any effect 4 . We previously reported an association for ADH1B R48H (rs1229984) in a central European (CE) population 5 and now consider the effect of this and five other ADH variants in an expanded study comprising 809 aerodigestive cancer cases and 2,586 controls from the CE study as well as a further 3,067 aerodigestive cancer cases and 2,692 controls from two other studies in Europe (ARCAGE study) and Latin America (LA study) (total of 3,876 cases and 5,278 controls). All three studies were coordinated by the International Agency for Research on Cancer (IARC) and followed a similar protocol (Supplementary Methods online). Of the 3,876 cases, 1,790 were cancers of the oral cavity or pharynx, 1,659 were cancers of the hypopharynx or larynx and 427 were cancers of the esophagus (Supplementary Table 1 online). Cases with a histology other than squamous cell were excluded.The HapMap Consortium has genotyped 163 SNPs in the vicinity of the ADH gene cluster with a minor allele frequency (MAF) of 4% or more in the CEPH Utah (CEU) population 6 . Inspection of the linkage disequilibrium (LD) pattern across this region indicates that ADH1A, ADH1B, ADH1C, ADH4, ADH5 and ADH6 are relatively highly correlated, whereas ADH7 showed little correlation with the remaining six ( Supplementary Fig. 1a online). From all verified missense SNPs in the seven ADH genes found in both the NCBI SNP and SNP500 databases 7 , we selected eight that had a MAF 4 4% in the CEU population. Three missense SNPs in ADH4 (rs1126671, rs1126673 and rs1042364) were in strong LD, and thus were genotyped by the highly correlated tagging SNP rs1984362 (r 2 4 0.89). In total, we genotyped six genetic variants (five missense SNPs and one tagging SNP) in all three studies (Table 1 and Supplementary Table 2 online).In the pooled analysis on all 3,876 cases and 5,278 controls, four variants reported a significant association (Supplementary Table 3 online). The most prominent was with rs1229984 (in ADH1B; OR for codominant model ¼ 0.59 (95% CI ¼ 0.50-0.69); P under codominant model ¼ 8 Â 10 À10 ). This variant w...

Genome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers. Genome-wide genotyping was carried out using the Illumina HumanHap300 beadchips in 2,091 UADT cancer cases and 3,513 controls from two large European multi-centre UADT cancer studies, as well as 4,821 generic controls. The 19 top-ranked variants were investigated further in an additional 6,514 UADT cancer cases and 7,892 controls of European descent from an additional 13 UADT cancer studies participating in the INHANCE consortium. Five common variants presented evidence for significant association in the combined analysis (p≤5×10−7). Two novel variants were identified, a 4q21 variant (rs1494961, p = 1×10−8) located near DNA repair related genes HEL308 and FAM175A (or Abraxas) and a 12q24 variant (rs4767364, p = 2×10−8) located in an extended linkage disequilibrium region that contains multiple genes including the aldehyde dehydrogenase 2 (ALDH2) gene. Three remaining variants are located in the ADH gene cluster and were identified previously in a candidate gene study involving some of these samples. The association between these three variants and UADT cancers was independently replicated in 5,092 UADT cancer cases and 6,794 controls non-overlapping samples presented here (rs1573496-ADH7, p = 5×10−8; rs1229984-ADH1B, p = 7×10−9; and rs698-ADH1C, p = 0.02). These results implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.

Overall, these results provide strong evidence that EBV status is an etiologically important classification of cHL and also suggest that some components of the pathological process are common to both EBV-positive and EBV-negative patients.