ArticleOncotarget2016
Fine-mapping markers of lung cancer susceptibility in a sub-region of chromosome 19q13.3 among Chinese.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Common variants of pro-inflammatory gene IL1B and interactions with PPP1R13L and POLR1G in relation to lung cancer among Northeast Chinese.Scientific reports · 2023Article
- TP53 common variants and interaction with PPP1R13L and CD3EAP SNPs and lung cancer risk and smoking behavior in a Chinese population.Biomedical journal · 2022Article
- Interaction between common variants ofAnnals of translational medicine · 2020Article
- Methylation status of the PPP1R13L promoter region among lung cancer patients and healthy controls. Analytical cross-sectional study.Sao Paulo medical journal = Revista paulista de medicina · 2019Article
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
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Abstract
Linkage disequilibrium-mapping studies in Caucasians have indicated anassociation of Chr19q13.3 sub-region spanning ERCC2, PPP1R13L, CD3EAP and ERCC1 with several cancers. To refine the region of association and identify potential causal variations among Asians, we performed a fine-mapping study using 32 (39) SNPs in a 71.654kb sub-region. The study included 384 Chinese lung cancer cases and 387 controls. Seven closely situated SNPs showed significant associations with lung cancer risk in five different genetic models of single-locus associations (adjusted for smoking duration). These were PPP1R13L rs1970764 [OR (95% CI) = 1.58 (1.09-2.29), P = 0.014] in a recessive model and PPP1R13L rs1005165 [OR (95% CI) = 1.25 (1.01-1.54), P = 0.036], CD3EAP rs967591 [OR (95% CI) = 1.40 (1.13-1.75), P = 0.0023], rs735482 [OR (95% CI) = 1.29 (1.03-1.61), P = 0.026], rs1007616 [OR (95% CI) = 0.78 (0.61-1.00), P = 0.046], and rs62109563 [OR (95% CI) = 1.28 (1.03-1.59), P = 0.024] in a log-additive model and ERCC1 rs3212965 [OR (95% CI) = 0.70 (0.52-0.94), P = 0.019] in an over-dominant model. Six-haplotype blocks were determined in the sub-region. Using an alternative approach where we performed a haplotype analysis of all significant polymorphisms, rs1970764 was found to be most consistently associated with lung cancer risk. The combined data suggest that the sub-region with the strongest association to lung cancer susceptibility might locate to the 23.173kb from PPP1R13L intron8 rs1970764 to rs62109563 3' to CD3EAP. Limited risk loci and span on lung cancer in this sub-region are initially defined among Asians.
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