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HapMap-based study identifies risk sub-region on chromosome 19q13.3 in relation to lung cancer among Chinese
Authors:Jiaoyang Yin  Ulla Vogel  Huiwen Wang  Yegang Ma  Chunhong Wang  Duohong Liang  Jian Liu  Li Yue  Yudan Zhao  Jian Ma
Institution:1. Key Laboratory of Environment and Population Health of Liaoning Education Ministry (Shenyang Medical College), Shenyang 110034, Liaoning Province, People''s Republic of China;2. Department of Cell Biology and Genetics, Shenyang Medical College, Shenyang 110034, Liaoning Province, People''s Republic of China;3. National Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen O, Denmark;4. Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, Liaoning Province, People''s Republic of China;5. Department of Oncology, Affiliated First Hospital of Liaoning Medical College, Jinzhou 121001, Liaoning Province, People''s Republic of China
Abstract:Background: Chromosome 19q13.3 has been identified as one of the regions that associate with cancer risk in previous studies. Methods: We systematically examined the 70.772 kb region comprising four genes on chromosome 19q13.3 among Chinese using the haplotype-tagging SNP (htSNP) approach and the HapMap platform. The study involved 339 lung cancer cases and 358 non-cancer controls. Two htSNPs (rs1046282 and rs735482) captured most of the common haplotypes of CD3EA and the combined effects of sixteen htSNPs provided high coverage of common haplotypes of ERCC2, PPP1R13L, CD3EAP and ERCC1. Results: Both carriers of variant CC genotype adjusted OR (95% CI) = 1.28 (1.02–1.60), P = 0.04] and variant C-allele among >20 years’ smokers OR (95% CI) = 2.13 (1.24–3.67), P = 0.006] for CD3EAP rs735482 were at increased risk of lung cancer. Four haplotype blocks of strong linkage disequilibrium were identified. The haplotype ERCC2 rs3916874G and rs238415C OR (95% CI) = 1.26 (1.02–1.57), P = 0.03] in block 1 and the haplotype PPP1R13L rs4803817A, CD3EAP rs1046282T, rs735482C, ERCC1 rs3212980A, rs3212964G OR (95% CI) = 3.56 (1.55–8.18), P = 0.005] in block 3 were associated with lung cancer risk. MDR (multifactor dimensionality reduction) analysis demonstrated the best significant model of two-attributes containing smoking duration and rs2298881 in ERCC1 (P = 0.004–0.005) and suggested that the effects of high-order interactions among smoking duration and ERCC2, PPP1R13, ERCC1 htSNPs could modulate lung cancer risk. Conclusions: HapMap-based study of 19q13.3 identified that genetic variation of CD3EAP and two loci were associated with lung cancer risk and interaction of smoking duration and genetic variants was the strongest predictor of lung cancer risk in a Chinese population.
Keywords:Chromosome 19q13  3  HapMap database  htSNP  Lung cancer  Chinese
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