Genome-wide association studies (GWASs) have identified multiple susceptibility loci of colorectal cancer (CRC), however, causative polymorphisms have not been fully elucidated. Long non-coding RNAs (lncRNAs) are a recently discovered class of non-protein coding RNAs that involved in a wide variety of biological processes. We hypothesized that single nucleotide polymorphisms (SNPs) in lncRNA may associate with the CRC risk by influencing lncRNA functions. To evaluate the effects of SNPs on CRC susceptibility in Chinese populations, we first screened out all potentially functional SNPs in exons of lncRNAs located in CRC susceptibility loci identified by GWAS. Eight SNPs were selected and genotyped in 875 CRC cases and 855 controls and replicated in an independent case–control study consisting of 768 CRC cases and 768 controls. Analyses showed that CG and GG genotypes of the rs2147578 were significantly associated with increased risk for CRC occurrence in both case–control studies [combined analysis OR = 1.29; 95% confidence interval (CI) = 1.11–1.51, P = 0.001] compared to the rs2147578 CC genotype. Bioinformatics analyses showed that rs2147578 is located in the transcript of lnc-LAMC2-1:1 and could influence the binding of lnc-LAMC2-1:1 /miR-128-3p. Further luciferase reporter assays demonstrated that the construct with the risk rs2147578G allele had relatively high expression activity compared with that of the rs2147578C allele. Expression quantitative trait loci analyses also showed that rs2147578 is correlated with the expression of a well established oncogene LAMC2 (laminin subunit gamma 2). These findings indicated that rs2147578 in lnc-LAMC2-1:1 might be a genetic modifier for the development of CRC.

Genome-wide association studies (GWASs) have identified multiple single nucleotide polymorphisms (SNPs) associated with colorectal cancer (CRC) susceptibility. However, the elucidation of causal SNPs and the biological mechanisms behind are still limited. In this study, we initially performed systematic bioinformatics analyses on CRC GWAS-identified loci to seek for potential functional SNPs located at transcription factor binding sites (TFBSs), and then a two-stage case-control study comprised of 1353 cases and 1448 controls of Chinese populations and functional analyses were conducted. As a result, only one SNP rs6695837 out of the nine candidate SNPs survived after two-stage analyses by Bonferroni correction. In combined analyses, rs6695837 exhibited significant associations with CRC risk (TT: CC, odds ratio (OR) = 1.31, 95% confidence interval (CI) = 1.06–1.63; dominant model, OR = 1.21, 95% CI = 1.03–1.43; additive model, OR = 1.15, 95% CI = 1.03–1.28). Functional annotations by RegulomeDB and rSNPBase indicated its biological role and dual-luciferase reporter assays revealed a significant increase in luciferase expression for the reconstructed plasmid with rs6695837T allele, compared with the one with C allele (PSW480 = 0.0002, PLovo = 0.0003). Further gene expression analyses demonstrated significantly higher expression of LAMC1 gene in CRC tumor tissues than that in adjacent non-cancerous tissues (P = 0.0004). These findings strongly suggest that the functional SNP located at TFBSs, rs6695837 might contribute to CRC susceptibility, and the exact biological mechanism awaits further research.

Multiple single nucleotide polymorphisms (SNPs) have been found to be highly correlated with colorectal cancer (CRC) risk. However, the variants identified thus far only explain a small part of the cases, suggesting the existence of many uncharacterised genetic determinants. In this study, using the multilevel ‘omics’ data provided in The Cancer Genome Atlas, we systematically performed expression quantitative trait locus (eQTL) analysis for CRC and identified nine SNPs with significant effects on mRNA expression (correlation |r| > 0.3 and FDR < 0.01). Then we conducted a two-stage case–control study consisting of 1528 cases and 1528 controls to examine the associations between candidate SNPs and CRC risk. We found that rs27437 in SLC22A5 was significantly correlated with CRC risk in both stages and the combined study (additive model, OR = 1.31, 95%CI = 1.17–1.47, P = 1.97 × 10−6). eQTL analysis showed that rs27437 GG and GA genotypes were associated with lower expression of SLC22A5 compared with the AA genotype. Dual-luciferase reporter assays confirmed that the G risk allele could decrease the expression of luciferase. SLC22A5 was significantly decreased in CRC tumour tissues compared with adjacent normal tissues, indicating that SLC22A5 may play important roles in CRC, and rs27437 in SLC22A5 might serve as a novel biomarker for early detection and prevention of CRC.

Background: Telomere dysfunction triggers cellular senescence and constitutes a driving force for cancer initiation. Genetic variants in genes involved in telomere maintenance may contribute to colorectal cancer susceptibility. Methods: In this study, we firstly captured germline mutations in 192 patients with colorectal cancer by sequencing the coding regions of 13 core components implicated in telomere biology. Five potential functional variants were then genotyped and assessed in a case–control set with 3,761 colorectal cancer cases and 3,839 healthy controls. The promising association was replicated in additional 6,765 cases and 6,906 controls. Functional experiments were used to further clarify the potential function of the significant variant and uncover the underlying mechanism in colorectal cancer development. Results: The two-stage association studies showed that a rare missense variant rs149418249 (c.C1520T and p.P507L) in the 11th exon of TPP1 (also known as ACD, gene ID 65057) was significantly associated with colorectal cancer risk with the ORs being 2.90 [95% confidence interval (CI), 1.04–8.07; P = 0.041], 2.50 (95% CI, 1.04–6.04; P = 0.042), and 2.66 (95% CI, 1.36–5.18; P = 0.004) in discovery, replication, and the combined samples, respectively. Further functional annotation indicated that the TPP1 P507L substitution interrupted TPP1–TIN2 interaction, impaired telomerase processivity, and shortened telomere length, which subsequently facilitated cell proliferation and promoted colorectal cancer development. Conclusions: A rare variant P507L in TPP1 confers increased risk of colorectal cancer through interrupting TPP1–TIN2 interaction, impairing telomerase processivity, and shrinking telomere length. Impact: These findings emphasize the important role of telomere dysfunction in colorectal cancer development, and provide new insights about the prevention of this type of cancer.

Genome-wide association studies (GWAS) of colorectal cancer have identified several common susceptible variants in gene regulatory regions. However, low-frequency or rare coding risk variants have not been systematically investigated in patients with colorectal cancer from Chinese populations. In this study, we performed an exome-wide association analysis with 1,062 patients with colorectal cancer and 2,184 controls from a Chinese population. Promising associations were further replicated in two replication sets: replication stage I with 2,478 cases and 3,880 controls, and replication stage II with 3,761 cases and 4,058 controls. We identified two variants significantly associated with colorectal cancer risk: a novel rare missense variant in TCF7L2 [rs138649767, OR = 2.08, 95% confidence interval (CI): 1.69–2.57, P = 5.66 × 10−12] and a previous European GWAS-identified 3′-UTR variant in ATF1 (rs11169571, OR = 1.18, 95% CI: 1.13–1.24, P = 1.65 × 10−12). We found a significant interaction between the TCF7L2 missense variant rs138649767 and a previous GWAS-identified regulatory variant rs6983267 in the MYC enhancer (Pinteraction = 0.0002). Functional analysis of this variant revealed that TCF7L2 with rs138649767-A allele harbored the ability to activate the MYC enhancer with rs6983267-G allele and enhance colorectal cancer cell proliferation. In addition, the ATF1 rs11169571 variant significantly correlated with ATF1 expression by affecting hsa-miR-1283 and hsa-miR-520d-5p binding. Further ChIP-seq and gene coexpression analyses showed that oncogenes NRAS and BRAF were activated by ATF1 in colorectal cancer. These results widen our understanding of the molecular basis of colorectal cancer risk and provide insight into pathways that might be targeted to prevent colorectal cancer. Significance: Exome-wide association analysis identifies a rare missense variant in TCF7L2 and a common regulatory variant in ATF1 as susceptibility factors of colorectal cancer.

Germline coding variants have not been systematically investigated for pancreatic ductal adenocarcinoma (PDAC). Here we report an exome-wide investigation using the Illumina Human Exome Beadchip with 943 PDAC cases and 3908 controls in the Chinese population, followed by two independent replicate samples including 2142 cases and 4697 controls. We identify three low-frequency missense variants associated with the PDAC risk: rs34309238 in PKN1 (OR = 1.77, 95% CI: 1.48–2.12, P = 5.35 × 10−10), rs2242241 in DOK2 (OR = 1.85, 95% CI: 1.50–2.27, P = 4.34 × 10−9), and rs183117027 in APOB (OR = 2.34, 95% CI: 1.72–3.16, P = 4.21 × 10−8). Functional analyses show that the PKN1 rs34309238 variant significantly increases the level of phosphorylated PKN1 and thus enhances PDAC cells' proliferation by phosphorylating and activating the FAK/PI3K/AKT pathway. These findings highlight the significance of coding variants in the development of PDAC and provide more insights into the prevention of this disease.

Background MYC is a well-established cancer driver gene regulating the expression of numerous genes, indicating that polymorphisms in MYC response elements could affect tumorigenesis through altering MYC regulation. We performed integrative multistage study to evaluate the effects of variants in MYC response elements and colorectal cancer (CRC) risk. Patients and methods We systematically integrated ChIP-Seq, DNase-Seq and transcription factor motif data to screen variants with potential ability to affect the MYC binding affinity. Then, we conducted a two-stage case–control study, totally consisting of 4830 CRC cases and 4759 controls in Chinese population to identify risk polymorphisms and interactions. The effects of risk variants were confirmed by functional assays in CRC LoVo, SW480 and HCT15 cells. Results We identified a novel polymorphism rs11777210 in KBTBD11 significantly associated with CRC susceptibility (P = 2.43 × 10−12). Notably, we observed a significant interaction between rs11777210 and MYC nearby rs6983267 (P-multi = 0.003, P-add = 0.005), subjects carrying rs6983267 GG and rs11777210 CC genotypes showing higher susceptibility to CRC (2.83-fold) than those carrying rs6983267 TT and rs11777210 TT genotypes. We further demonstrated that rs6983267 T > G increased MYC expression, and MYC bound to and negatively regulated KBTBD11 expression when the rs11777210 C risk allele was present. KBTBD11 was downregulated in tumor tissues, and KBTBD11 knockdown promoted cell proliferation and inhibited cell apoptosis. Conclusion The rs11777210 is a potential predictive biomarker of CRC susceptibility, and KBTBD11 functions as a putative tumor suppressor in tumorigenesis. Our study highlighted the high CRC risk of people carrying rs6983267 G and rs11777210 C alleles, and provided possible biological mechanism of the interaction.

Genome-wide association studies have identified common variants associated with risk of esophageal squamous cell carcinoma (ESCC). However, these common variants cannot explain all heritability of ESCC. Here we report an exome-wide interrogation of 3,714 individuals with ESCC and 3,880 controls for low-frequency susceptibility loci, with two independent replication samples comprising 7,002 cases and 8,757 controls. We found six new susceptibility loci in CCHCR1, TCN2, TNXB, LTA, CYP26B1 and FASN (P = 7.77 × 10−24 to P = 1.49 × 10−11), and three low-frequency variants had relatively high effect size (odds ratio > 1.5). Individuals with the rs138478634-GA genotype had significantly lower levels of serum all-trans retinoic acid, an anticancer nutrient, than those with the rs138478634-GG genotype (P = 0.0004), most likely due to an enhanced capacity of variant CYP26B1 to catabolize this agent. These findings emphasize the important role of rare coding variants in the development of ESCC.

Protein post-translational modifications (PTMs), including phosphorylation, ubiquitination, methylation, acetylation, glycosylation et al, are very important biological processes. PTM changes in some critical genes, which may be induced by base-pair substitution, are shown to affect the risk of diseases. Recently, large-scale exome-wide association studies found that missense single nucleotide polymorphisms (SNPs) play an important role in the susceptibility for complex diseases or traits. One of the functional mechanisms of missense SNPs is that they may affect PTMs and leads to a protein dysfunction and its downstream signaling pathway disorder. Here, we constructed a database named AWESOME (A Website Exhibits SNP On Modification Event, http://www.awesome-hust.com), which is an interactive web-based analysis tool that systematically evaluates the role of SNPs on nearly all kinds of PTMs based on 20 available tools. We also provided a well-designed scoring system to compare the performance of different PTM prediction tools and help users to get a better interpretation of results. Users can search SNPs, genes or position of interest, filter with specific modifications or prediction methods, to get a comprehensive PTM change induced by SNPs. In summary, our database provides a convenient way to detect PTM-related SNPs, which may potentially be pathogenic factors or therapeutic targets.

Alternative splicing (AS) is a widespread process that increases structural transcript variation and proteome diversity. Aberrant splicing patterns are frequently observed in cancer initiation, progress, prognosis and therapy. Increasing evidence has demonstrated that AS events could undergo modulation by genetic variants. The identification of splicing quantitative trait loci (sQTLs), genetic variants that affect AS events, might represent an important step toward fully understanding the contribution of genetic variants in disease development. However, no database has yet been developed to systematically analyze sQTLs across multiple cancer types. Using genotype data from The Cancer Genome Atlas and corresponding AS values calculated by TCGASpliceSeq, we developed a computational pipeline to identify sQTLs from 9 026 tumor samples in 33 cancer types. We totally identified 4 599 598 sQTLs across all cancer types. We further performed survival analyses and identified 17 072 sQTLs associated with patient overall survival times. Furthermore, using genome-wide association study (GWAS) catalog data, we identified 1 180 132 sQTLs overlapping with known GWAS linkage disequilibrium regions. Finally, we constructed a user-friendly database, CancerSplicingQTL (http://www.cancersplicingqtl-hust.com/) for users to conveniently browse, search and download data of interest. This database provides an informative sQTL resource for further characterizing the potential functional roles of SNPs that control transcript isoforms in human cancer.