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Sökning: WFRF:(McKay James D)

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  • Verheus, Martijn, et al. (författare)
  • Common genetic variation in the IGF-1 gene, serum IGF-I levels and breast density
  • 2008
  • Ingår i: Breast Cancer Research and Treatment. - 0167-6806. ; 112:1, s. 109-122
  • Tidskriftsartikel (refereegranskat)abstract
    • INTRODUCTION: High breast density is one of the strongest known risk factors for developing breast cancer. Insulin-like growth factor I (IGF-I) is a strong mitogen and has been suggested to increase breast cancer risk by increasing the amount of dense tissue in the female breast. OBJECTIVES: We wanted to investigate the effect of common variation in the IGF-1 gene on serum IGF-I levels and on breast density. DESIGN AND METHODS: Mammograms and blood samples of 1,928 premenopausal participants of the Dutch Prospect-EPIC cohort were collected at baseline. Using a haplotype tagging approach, 16 single nucleotide polymorphisms (SNP) from three blocks covering the IGF-1 gene were genotyped in all study participants. Breast density was assessed using a quantitative computer-assisted method. For a subgroup of women, who went through menopause within 5 years after recruitment (n=656), premenopausal IGF-I levels and additionally postmenopausal breast density were determined. False positive report probabilities (FPRP) for statistically significant relations were calculated using the Wacholder method. RESULTS: The minor alleles of five SNPs in block 3 were significantly associated with elevated levels of IGF-I (rs9989002, rs2033178, rs7136446, rs978458, rs6220; P-values: 0.01-0.04). The same SNPs were related with modestly higher percent breast density before menopause and-in the subgroup of women that became postmenopausal during follow-up-with a modestly higher percent breast density after menopause. The most significant result, i.e. the relation between rs6220 and IGF-I levels, had an FPRP<0.5 assuming prior probabilities of 0.01 and higher. CONCLUSION: Common genetic variation in the IGF-1 gene is related to circulating levels of IGF-I, but the relationship with breast density is indecisive.
  • Wang, Tao, et al. (författare)
  • Pleiotropy of genetic variants on obesity and smoking phenotypes : : Results from the Oncoarray Project of The International Lung Cancer Consortium
  • 2017
  • Ingår i: PLoS ONE. - Public Library of Science. - 1932-6203. ; 12:9, s. 0185660-0185660
  • Tidskriftsartikel (refereegranskat)abstract
    • Obesity and cigarette smoking are correlated through complex relationships. Common genetic causes may contribute to these correlations. In this study, we selected 241 loci potentially associated with body mass index (BMI) based on the Genetic Investigation of ANthropometric Traits (GIANT) consortium data and calculated a BMI genetic risk score (BMI-GRS) for 17,037 individuals of European descent from the Oncoarray Project of the International Lung Cancer Consortium (ILCCO). Smokers had a significantly higher BMI-GRS than never-smokers (p = 0.016 and 0.010 before and after adjustment for BMI, respectively). The BMI-GRS was also positively correlated with pack-years of smoking (p<0.001) in smokers. Based on causal network inference analyses, seven and five of 241 SNPs were classified to pleiotropic models for BMI/smoking status and BMI/pack-years, respectively. Among them, three and four SNPs associated with smoking status and pack-years (p<0.05), respectively, were followed up in the ever-smoking data of the Tobacco, Alcohol and Genetics (TAG) consortium. Among these seven candidate SNPs, one SNP (rs11030104, BDNF) achieved statistical significance after Bonferroni correction for multiple testing, and three suggestive SNPs (rs13021737, TMEM18; rs11583200, ELAVL4; and rs6990042, SGCZ) achieved a nominal statistical significance. Our results suggest that there is a common genetic component between BMI and smoking, and pleiotropy analysis can be useful to identify novel genetic loci of complex phenotypes.
  • Wang, Yufei, et al. (författare)
  • Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer
  • 2014
  • Ingår i: Nature Genetics. - 1061-4036. ; 46:7, s. 736-741
  • Tidskriftsartikel (refereegranskat)abstract
    • We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 x 10(-20)) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 x 10(-13)). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 x 10(-10)) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.
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