Haploinsufficiency of FOXF1 causes alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV), a lethal neonatal lung developmental disorder. We describe two similar heterozygous CNV deletions involving the FOXF1 enhancer and re-analyze FOXF1 missense mutation, all associated with an unexpectedly mitigated disease phenotype. In one case, the deletion of the maternal allele of the FOXF1 enhancer caused pulmonary hypertension and histopathologically diagnosed MPV without the typical ACD features. In the second case, the deletion of the paternal enhancer resulted in ACDMPV rather than the expected neonatal lethality. In both cases, FOXF1 expression in lung tissue was higher than usually seen or expected in patients with similar deletions, suggesting an increased activity of the remaining allele of the enhancer. Sequencing of these alleles revealed two rare SNVs, rs150502618-A and rs79301423-T, mapping to the partially overlapping binding sites for TFAP2s and CTCF in the core region of the enhancer. Moreover, in a family with three histopathologically-diagnosed ACDMPV siblings whose missense FOXF1 mutation was inherited from the healthy non-mosaic carrier mother, we have identified a rare SNV rs28571077-A within 2-kb of the above-mentioned non-coding SNVs in the FOXF1 enhancer in the mother, that was absent in the affected newborns and 13 unrelated ACDMPV patients with CNV deletions of this genomic region. Based on the low population frequencies of these three variants, their absence in ACDMPV patients, the results of reporter assay, RNAi and EMSA experiments, and in silico predictions, we propose that the described SNVs might have acted on FOXF1 enhancer as hypermorphs.
- MeSH
- Child MeSH
- Adult MeSH
- Phenotype MeSH
- Forkhead Transcription Factors genetics MeSH
- Genomic Imprinting MeSH
- Polymorphism, Single Nucleotide * MeSH
- Humans MeSH
- Mutation, Missense * MeSH
- Infant, Newborn MeSH
- Prognosis MeSH
- Sequence Deletion * MeSH
- Persistent Fetal Circulation Syndrome genetics pathology prevention & control MeSH
- Enhancer Elements, Genetic * MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Humans MeSH
- Infant, Newborn MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Case Reports MeSH
Colorectal cancer (CRC) is a complex disease that develops as a consequence of both genetic and environmental risk factors in interplay with epigenetic mechanisms, such as microRNAs (miRNAs). CRC cases are predominantly sporadic in which the disease develops with no apparent hereditary syndrome. The last decade has seen the progress of genome-wide association studies (GWAS) that allowed the discovery of several genetic regions and variants associated with weak effects on sporadic CRC. Collectively these variants may enable a more accurate prediction of an individual's risk to the disease and its prognosis. However, the number of variants contributing to CRC is still not fully explored.SNPs in genes encoding the miRNA sequence or in 3'UTR regions of the corresponding binding sites may affect miRNA transcription, miRNA processing, and/or the fidelity of the miRNA-mRNA interaction. These variants could plausibly impact miRNA expression and target mRNA translation into proteins critical for cellular integrity, differentiation, and proliferation.In the present chapter, we describe the different aspects of variations related to miRNAs and other non-coding RNAs (ncRNAs) and evidence from studies investigating these candidate genetic alterations in support to their role in CRC development and progression.
- MeSH
- 3' Untranslated Regions genetics MeSH
- Genome-Wide Association Study MeSH
- Epigenesis, Genetic MeSH
- Genetic Predisposition to Disease MeSH
- Gene-Environment Interaction MeSH
- Polymorphism, Single Nucleotide * MeSH
- Cocarcinogenesis MeSH
- Colorectal Neoplasms diagnosis epidemiology genetics MeSH
- Humans MeSH
- MicroRNAs genetics MeSH
- RNA, Untranslated genetics MeSH
- Polyadenylation MeSH
- Prognosis MeSH
- Disease Progression MeSH
- Gene Expression Regulation, Neoplastic genetics MeSH
- Risk Factors MeSH
- RNA, Neoplasm genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
PURPOSE: Tobacco/nicotine dependence has a significant heritable component. Genome-wide association studies have associated the single nucleotide polymorphisms (SNPs) rs578776, rs16969968, rs6474412, rs3733829 and rs4105144 with nicotine dependence in Western European populations. We examined whether these SNPs influence nicotine dependence and successful treatment of tobacco dependence in the Czech middle-European population. MATERIALS AND METHODS: Variants were analysed by PCR-RFLP or by TaqMan assay in 807 adult heavy tobacco-dependent smokers - patients of the Centre for Treatment of Tobacco Dependence (Prague) as well as 1,362 self-reported non-smokers. RESULTS AND DISCUSSION: Except for rs3733829, association with tobacco dependence was confirmed for all other genetic variants. In agreement with previous studies, the strongest determinant of tobacco dependence was rs16969968 with OR (95%CI) 1.32 (1.08-1.62) for A allele carriers vs. GG comparison (P=0.003). In contrast, none of the analysed variants reached significance with respect to a 1-year course of successful tobacco dependence treatment (all P over 0.18) in a subset of 525 patients. CONCLUSION: We confirmed the association between variants within genes that code nicotinic-acetylcholine receptors (-A3, -A5 and -B3), CYP2A6/B6 and tobacco dependence development in the Czech population. The success of the tobacco dependence treatment was not influenced by the analysed SNPs.
- MeSH
- Genome-Wide Association Study MeSH
- Cytochrome P-450 CYP2A6 MeSH
- Cytochrome P-450 CYP2B6 genetics MeSH
- Adult MeSH
- Genetic Predisposition to Disease * MeSH
- Polymorphism, Single Nucleotide * MeSH
- Humans MeSH
- Receptors, Nicotinic genetics MeSH
- Tobacco Use Disorder genetics therapy MeSH
- Nerve Tissue Proteins MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czechoslovakia MeSH
Genes carrying high-penetrance germline mutations may also be associated with cancer susceptibility through common low-penetrance genetic variants. To increase the knowledge on genetic pancreatic ductal adenocarcinoma (PDAC) aetiology, the common genetic variability of PDAC familial genes was analysed in our study. We conducted a multiphase study analysing 7745 single nucleotide polymorphisms (SNPs) from 29 genes reported to harbour a high-penetrance PDAC-associated mutation in at least one published study. To assess the effect of the SNPs on PDAC risk, a total of 14 666 PDAC cases and 221 897 controls across five different studies were analysed. The T allele of the rs1412832 polymorphism, that is situated in the CDKN2B-AS1/ANRIL, showed a genome-wide significant association with increased risk of developing PDAC (OR = 1.11, 95% CI = 1.07-1.15, P = 5.25 × 10-9 ). CDKN2B-AS1/ANRIL is a long noncoding RNA, situated in 9p21.3, and regulates many target genes, among which CDKN2A (p16) that frequently shows deleterious somatic and germline mutations and deregulation in PDAC. Our results strongly support the role of the genetic variability of the 9p21.3 region in PDAC aetiopathogenesis and highlight the importance of secondary analysis as a tool for discovering new risk loci in complex human diseases.
- MeSH
- Carcinoma, Pancreatic Ductal * genetics MeSH
- Genetic Predisposition to Disease MeSH
- Polymorphism, Single Nucleotide MeSH
- Humans MeSH
- Pancreatic Neoplasms * genetics MeSH
- RNA, Long Noncoding * genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
OBJECTIVES: ATP-Binding Cassette (ABC) transporters may cause treatment failure by transporting of anticancer drugs outside of the tumor cells. Multidrug resistance-associated protein 1 coded by the ABCC1 gene has recently been suggested as a potential prognostic marker in breast cancer patients. This study aimed to explore tagged haplotype covering nucleotide binding domain 1 of ABCC1 in relation with corresponding transcript levels in tissues and clinical phenotype of breast cancer patients. METHODS: The distribution of twelve ABCC1 polymorphisms was assessed by direct sequencing in peripheral blood DNA (n = 540). RESULTS: Tumors from carriers of the wild type genotype in rs35623 or rs35628 exhibited significantly lower levels of ABCC1 transcript than those from carriers of the minor allele (p = 0.003 and p = 0.004, respectively). The ABCC1 transcript levels significantly increased in the order CT-GT>CC-GT>CC-GG for the predicted rs35626-rs4148351 diplotype. Chemotherapy-treated patients carrying the T allele in rs4148353 had longer disease-free survival than those with the GG genotype (p = 0.043). On the other hand, hormonal therapy-treated patients with the AA genotype in rs35628 had significantly longer disease-free survival than carriers of the G allele (p = 0.012). CONCLUSIONS: Taken together, our study shows that genetic variability in the nucleotide binding domain 1 has a significant impact on the ABCC1 transcript level in the target tissue and may modify survival of breast cancer patients.
- MeSH
- Survival Analysis * MeSH
- Polymorphism, Single Nucleotide * MeSH
- Middle Aged MeSH
- Humans MeSH
- RNA, Messenger genetics MeSH
- Breast Neoplasms genetics physiopathology MeSH
- Multidrug Resistance-Associated Proteins genetics metabolism MeSH
- Aged MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
- MeSH
- Genome-Wide Association Study methods MeSH
- Genetic Predisposition to Disease genetics MeSH
- Genotype MeSH
- Polymorphism, Single Nucleotide genetics MeSH
- Colorectal Neoplasms genetics MeSH
- Middle Aged MeSH
- Humans MeSH
- Risk Factors MeSH
- RNA, Long Noncoding genetics MeSH
- Aged MeSH
- Signal Transduction genetics MeSH
- Case-Control Studies MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Meta-Analysis MeSH
Pancreatic ductal adenocarcinoma (PDAC) is projected to become the second cancer-related cause of death by 2030. Identifying novel risk factors, including genetic risk loci, could be instrumental in risk stratification and implementation of prevention strategies. Long noncoding RNAs (lncRNAs) are involved in regulation of key biological processes, and the possible role of their genetic variability has been unexplored so far. Combining genome wide association studies and functional data, we investigated the genetic variability in all lncRNAs. We analyzed 9893 PDAC cases and 9969 controls and identified a genome-wide significant association between the rs7046076 SNP and risk of developing PDAC (P = 9.73 × 10-9 ). This SNP is located in the NONHSAG053086.2 (lnc-SMC2-1) gene and the risk allele is predicted to disrupt the binding of the lncRNA with the micro-RNA (miRNA) hsa-mir-1256 that regulates several genes involved in cell cycle, such as CDKN2B. The CDKN2B region is pleiotropic and its genetic variants have been associated with several human diseases, possibly though an imperfect interaction between lncRNA and miRNA. We present a novel PDAC risk locus, supported by a genome-wide statistical significance and a plausible biological mechanism.
- MeSH
- Genome-Wide Association Study MeSH
- Carcinoma, Pancreatic Ductal genetics MeSH
- Genetic Predisposition to Disease MeSH
- Cyclin-Dependent Kinase Inhibitor p15 genetics MeSH
- Polymorphism, Single Nucleotide * MeSH
- Middle Aged MeSH
- Humans MeSH
- MicroRNAs genetics MeSH
- Pancreatic Neoplasms genetics MeSH
- RNA, Long Noncoding genetics MeSH
- Aged MeSH
- Case-Control Studies MeSH
- Computational Biology methods MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in both adults and children. Along with obesity and metabolic syndrome, genetic predisposition influences the progression of NAFLD. Here, we investigated the effect of lifespan/healthspan-related single nucleotide polymorphisms (SNPs) on metabolically associated fatty liver disease in children. METHODS: We evaluated the impact of 10 SNPs involved in both human liver/metabolic diseases and healthspan (interleukin-6 [IL-6] rs1800795, antisense non coding RNA in the INK4 locus (ANRIL) rs1556516, SH2B3/ATXN2 rs7137828, FURIN rs17514846, TP53 rs1042522, APOC3 rs2542052, KL rs9536314, KL rs9527025, SIRT6 rs107251, FOXO3 rs2802292) on NAFLD-related metabolic and liver features in 177 pediatric patients with biopsy-proven NAFLD, by comparing them to 146 healthy controls. We then applied a multidimensional reduction (MDR) case-control analysis of SNP-SNP interactions, to identify the joint effect of analyzed SNPs in predicting NAFLD and associated features. RESULTS: Discrete SNPs were significantly associated with individual metabolic NAFLD features, but none of them significantly associated with NAFLD diagnosis. By testing potential synergies using the MDR approach, the best combination to diagnose NAFLD (P = 0.0011) resulted in the one encompassing IL-6 rs1800795 and ANRIL rs1556516. Consistently, the risk combinations suggested by SNP-SNP analysis strongly associated with a higher level of fasting plasma blood glucose level (P = 0.024). CONCLUSION: In conclusion, here we demonstrated a synergic interaction between IL-6 rs1800795 and ANRIL rs1556516 in the diagnosis of NAFLD, and NAFLD-associated hyperglycemia in children. Larger studies are required to confirm our findings and to elucidate mechanisms by which the genetic interaction between these two genes influences healthspan in pediatric NAFLD.
- MeSH
- Child MeSH
- Longevity MeSH
- Adult MeSH
- Genetic Predisposition to Disease MeSH
- Liver MeSH
- Polymorphism, Single Nucleotide MeSH
- Humans MeSH
- Non-alcoholic Fatty Liver Disease * genetics MeSH
- Sirtuins * MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
MicroRNAs (miRNAs) are small non-coding RNAs, which regulate gene expression. Single nucleotide polymorphisms (SNPs) may occur in miRNA biogenesis pathway genes, primary miRNA, pre-miRNA or a mature miRNA sequence. Such polymorphisms may be functional with respect to biogenesis and actions of mature miRNA. Specific SNPs were identified in predicted miRNA target sites within 3' untranslated regions of mRNAs. These SNPs have a potential to affect the efficiency of miRNA binding to the target sites or can create or disrupt binding sites. Resulting gene dysregulation may involve changes in phenotype and may eventually prove critical for the susceptibility to cancer and its onset as well as for estimates of prognosis and therapy response. In this review, we provide a comprehensive list of potentially functional miRNA-related SNPs and summarize their importance as candidate cancer biomarkers.
- MeSH
- 3' Untranslated Regions MeSH
- Genetic Predisposition to Disease MeSH
- Genotype MeSH
- Polymorphism, Single Nucleotide MeSH
- Humans MeSH
- MicroRNAs genetics metabolism MeSH
- Molecular Epidemiology methods MeSH
- Neoplasms genetics pathology MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
BACKGROUND: Classic symptoms of long QT syndrome (LQTS) include prolongation of QT interval on electrocardiograph, syncope, and cardiac arrest due to a distinctive form of polymorphic ventricular tachycardia, known as Torsade de Pointes. We assessed occurrence of LQTS signs in individuals from 30 Czech families with mutations in KCNQ1 and KCNH2 genes. METHODS AND RESULTS: One hundred five individuals from 30 Czech families with LQTS were genotyped for KCNQ1 and KCNH2. The occurrence of typical LQTS signs (pathologic prolongation of QT interval; syncope; cardiac arrest; Torsade de Pointes) was clinically assessed by exercise test with QT interval analysis. Family history of sudden cardiac death was taken. Statistical analysis was performed to determine correlation of clinical results and mutation status. KCNQ1 gene mutations were found in 23 families, and KCNH2 gene mutations in eight families. Only 46 (70%) of the 66 mutation carriers had at least two of the typical LQTS signs. The others were minimally or asymptomatic. From 39 noncarrier individuals, only 1 fulfilled the clinical criteria of LQTS diagnosis, another 4 had an intermediate probability of diagnosis. The exercise test had 92% sensitivity and 93% specificity for LQTS diagnosis. CONCLUSIONS: Incidence of classical signs of LQTS was not high in Czech carriers of KCNQ1 and KCNH2 mutations. Therefore, proper diagnosis relies on detection of symptoms at presentation. The exercise test may be beneficial owing to its high sensitivity and specificity for LQTS diagnosis.
- MeSH
- Adult MeSH
- Ether-A-Go-Go Potassium Channels genetics MeSH
- Electrocardiography statistics & numerical data MeSH
- Genetic Predisposition to Disease epidemiology genetics MeSH
- Risk Assessment MeSH
- Polymorphism, Single Nucleotide genetics MeSH
- Humans MeSH
- Mutation genetics MeSH
- Prevalence MeSH
- Reproducibility of Results MeSH
- RNA, Long Noncoding genetics MeSH
- Sensitivity and Specificity MeSH
- Long QT Syndrome diagnosis epidemiology genetics MeSH
- Exercise Test statistics & numerical data MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH