scholarly journals Systematic evaluation of the effects of genetic variants on PIWI-interacting RNA expression across 33 cancer types

2020 ◽  
Author(s):  
Junyi Xin ◽  
Mulong Du ◽  
Xia Jiang ◽  
Yanling Wu ◽  
Shuai Ben ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Genome Wide Association Study ◽  
The Cancer Genome Atlas ◽  
Systematic Evaluation ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Cancer Etiology ◽  
Functional Roles ◽  
Cancer Types ◽  
Trait Locus

Abstract PIWI-interacting RNAs (piRNAs) are an emerging class of non-coding RNAs involved in tumorigenesis. Expression quantitative trait locus (eQTL) analysis has been demonstrated to help reveal the genetic mechanism of single nucleotide polymorphisms (SNPs) in cancer etiology. However, there are no databases that have been constructed to provide an eQTL analysis between SNPs and piRNA expression. In this study, we collected genotyping and piRNA expression data for 10 997 samples across 33 cancer types from The Cancer Genome Atlas (TCGA). Using linear regression cis-eQTL analysis with adjustment of appropriate covariates, we identified millions of SNP-piRNA pairs in tumor (76 924 831) and normal (24 431 061) tissues. Further, we performed differential expression and survival analyses, and linked the eQTLs to genome-wide association study (GWAS) data to comprehensively decipher the functional roles of identified cis-piRNA eQTLs. Finally, we developed a user-friendly database, piRNA-eQTL (http://njmu-edu.cn:3838/piRNA-eQTL/), to help users query, browse and download corresponding eQTL results. In summary, piRNA-eQTL could serve as an important resource to assist the research community in understanding the roles of genetic variants and piRNAs in the development of cancers.

scholarly journals ncRNA-eQTL: a database to systematically evaluate the effects of SNPs on non-coding RNA expression across cancer types

2019 ◽  
Vol 48 (D1) ◽  
pp. D956-D963 ◽  
Author(s):  
Jiang Li ◽  
Yawen Xue ◽  
Muhammad Talal Amin ◽  
Yanbo Yang ◽  
Jiajun Yang ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Expression Profiles ◽  
The Cancer Genome Atlas ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Survival Times ◽  
Multiple Cancer ◽  
Risk Alleles ◽  
Genome Wide ◽  
Cancer Types

Abstract Numerous studies indicate that non-coding RNAs (ncRNAs) have critical functions across biological processes, and single-nucleotide polymorphisms (SNPs) could contribute to diseases or traits through influencing ncRNA expression. However, the associations between SNPs and ncRNA expression are largely unknown. Therefore, genome-wide expression quantitative trait loci (eQTL) analysis to assess the effects of SNPs on ncRNA expression, especially in multiple cancer types, will help to understand how risk alleles contribute toward tumorigenesis and cancer development. Using genotype data and expression profiles of ncRNAs of >8700 samples from The Cancer Genome Atlas (TCGA), we developed a computational pipeline to systematically identify ncRNA-related eQTLs (ncRNA-eQTLs) across 33 cancer types. We identified a total of 6 133 278 and 721 122 eQTL-ncRNA pairs in cis-eQTL and trans-eQTL analyses, respectively. Further survival analyses identified 8312 eQTLs associated with patient survival times. Furthermore, we linked ncRNA-eQTLs to genome-wide association study (GWAS) data and found 262 332 ncRNA-eQTLs overlapping with known disease- and trait-associated loci. Finally, a user-friendly database, ncRNA-eQTL (http://ibi.hzau.edu.cn/ncRNA-eQTL), was developed for free searching, browsing and downloading of all ncRNA-eQTLs. We anticipate that such an integrative and comprehensive resource will improve our understanding of the mechanistic basis of human complex phenotypic variation, especially for ncRNA- and cancer-related studies.

Association between Ocular Axial Length-Related Genes and High Myopia in a Han Chinese Population

2015 ◽  
Vol 235 (1) ◽  
pp. 57-60 ◽  
Author(s):  
Ya-Ting Li ◽  
Ming-Kun Xie ◽  
Jin Wu
Keyword(s):  
Axial Length ◽  
Genetic Variants ◽  
Chinese Population ◽  
High Myopia ◽  
Genome Wide Association Study ◽  
Han Chinese ◽  
Nucleotide Polymorphisms ◽  
Han Chinese Population ◽  
Functional Roles ◽  
Genome Wide

Aims: A previous genome-wide association study of high myopia identified five genome-wide loci for ocular axial length (C3orf26, ZC3H11B, RSPO1, GJD2, and ZNRF3). The aim of our study was to investigate the association between high myopia and genetic variants in the five loci in Han Chinese subjects. Methods: Five single nucleotide polymorphisms were genotyped in 296 unrelated high-myopia subjects and 300 matched emmetropic controls by the SNaPshot method. The distribution of genotypes in the cases and controls was compared in codominant, dominant, and recessive genetic models by using SNPStats online software. Results: Significant associations between rs994767 near ZC3H11B (p = 0.001), rs4074961 in RSPO1 (p < 0.001), and rs11073058 in GJD2 (p = 0.029) and high myopia were observed. Odds ratios (95% confidence intervals) were 1.532 (1.200-1.955), 1.603 (1.267-2.029), and 1.290 (1.027-1.621) for the rs994767 T allele, rs4074961 T allele, and rs11073058 T allele, respectively. But rs9811920 in C3orf26 and rs12321 in ZNRF3 were not associated with high myopia. Conclusion: Our findings suggested that genetic variants in ZC3H11B, RSPO1, and GJD2 are associated with susceptibility to the development of high myopia in a Han Chinese population. Functional roles of ZC3H11B, RSPO1, and GJD2 in the pathology of high myopia need to be further investigated.

scholarly journals Programmed Death Ligand 2 Gene Polymorphisms Are Associated With Lung Adenocarcinoma Risk in Female Never-Smokers

2021 ◽  
Vol 11 ◽  
Author(s):  
Sheng-Kai Liang ◽  
Li-Hsin Chien ◽  
Gee-Chen Chang ◽  
Ying-Huang Tsai ◽  
Wu-Chou Su ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Pulmonary Tuberculosis ◽  
Lung Adenocarcinoma ◽  
Genome Wide Association Study ◽  
Lung Cancer Screening ◽  
Tuberculosis Infection ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Programmed Death ◽  
Never Smokers

ObjectivesLung cancer in never-smokers is a distinct disease associated with a different genomic landscape, pathogenesis, risk factors, and immune checkpoint inhibitor responses compared to those observed in smokers. This study aimed to identify novel single nucleotide polymorphisms (SNPs) of programmed death-1 (encoded by PDCD1) and its ligands, programmed death ligand 1 (CD274) and 2 (PDCD1LG2), associated with lung cancer risk in never-smoking women.Materials and MethodsDuring September 2002 and July 2012, we enrolled never-smoking female patients with lung adenocarcinoma (LUAD) (n=1153) and healthy women (n=1022) from six tertiary hospitals in Taiwan. SNP data were obtained and analyzed from the genome-wide association study dataset and through an imputation method. The expression quantitative trait loci (eQTL) analysis was performed in both tumor and non-tumor tissues for the correlation between genetic expression and identified SNPs.ResultsA total of 12 PDCD1LG2 SNPs related to LUAD risk were identified in never-smoking women, including rs2381282, rs4742103, rs4237162, rs4742104, rs12237624, rs78096119, rs6476988, rs7857315, rs10975178, rs7854413, rs56001683, and rs7858319. Among them, six tagged PDCD1LG2 SNPs rs2381282, rs4742103, rs4237162, rs4742104, rs78096119, and rs56001683 were significantly associated with LUAD risk. Specifically, two PDCD1LG2 SNPs, rs12237624 and rs78096119, were associated with previous pulmonary tuberculosis infection in relation to LUAD susceptibility. Through an eQTL assay, we found that rs2381282 (p &lt; 0.001), rs12237624 (p = 0.019), and rs78096119 (p = 0.019) were associated with the expression levels of programed death ligand 2.ConclusionsNovel SNPs of programed death ligand 2 associated with lung adenocarcinoma risk were identified. Among them, two SNPs were associated with pulmonary tuberculosis infection in relation to lung adenocarcinoma susceptibility. These SNPs may help to stratify high-risk populations of never-smokers during lung cancer screening.

Lifestyle factors and genetic variants on two biological age measures: evidence from 94,443 Taiwan Biobank participants

2021 ◽  
Author(s):  
Wan-Yu Lin
Keyword(s):  
Genetic Variants ◽  
Genome Wide Association Study ◽  
Lifestyle Factors ◽  
Biological Age ◽  
Biological Aging ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide ◽  
A Genome ◽  
The Uk

Abstract Background Biological age (BA) can be estimated by phenotypes and is useful for predicting lifespan and healthspan. Levine et al. proposed a PhenoAge and a BioAge to measure BA. Although there have been studies investigating the genetic predisposition to BA acceleration in Europeans, little has been known regarding this topic in Asians. Methods I here estimated PhenoAgeAccel (age-adjusted PhenoAge) and BioAgeAccel (age-adjusted BioAge) of 94,443 Taiwan Biobank (TWB) participants, wherein 25,460 TWB1 subjects formed a discovery cohort and 68,983 TWB2 individuals constructed a replication cohort. Lifestyle factors and genetic variants associated with PhenoAgeAccel and BioAgeAccel were investigated through regression analysis and a genome-wide association study (GWAS). Results A unit (kg/m 2) increase of BMI was associated with a 0.177-year PhenoAgeAccel (95% C.I. = 0.163~0.191, p = 6.0×) and 0.171-year BioAgeAccel (95% C.I. = 0.165~0.177, p = 0). Smokers on average had a 1.134-year PhenoAgeAccel (95% C.I. = 0.966~1.303, p = 1.3×) compared with non-smokers. Drinkers on average had a 0.640-year PhenoAgeAccel (95% C.I. = 0.433~0.847, p = 1.3×) and 0.193-year BioAgeAccel (95% C.I. = 0.107~0.279, p = 1.1×) relative to non-drinkers. A total of 11 and 4 single-nucleotide polymorphisms (SNPs) were associated with PhenoAgeAccel and BioAgeAccel (p&lt;5× in both TWB1 and TWB2), respectively. Conclusions A PhenoAgeAccel-associated SNP (rs1260326 in GCKR) and two BioAgeAccel-associated SNPs (rs7412 in APOE; rs16998073 near FGF5) were consistent with the finding from the UK Biobank. The lifestyle analysis shows that prevention from obesity, cigarette smoking, and alcohol consumption is associated with a slower rate of biological aging.

scholarly journals FGFR4 Gene Polymorphism Reduces the Risk of Distant Metastasis in Lung Adenocarcinoma in Taiwan

2020 ◽  
Vol 17 (16) ◽  
pp. 5694
Author(s):  
Ju-Pi Li ◽  
Hsien-Cheng Huang ◽  
Po-Jen Yang ◽  
Chien-Yuan Chang ◽  
Yu-Hua Chao ◽  
...  
Keyword(s):  
Growth Factor ◽  
Lung Adenocarcinoma ◽  
Distant Metastasis ◽  
Genetic Variants ◽  
Survival Rates ◽  
Growth Factor Receptor ◽  
The Cancer Genome Atlas ◽  
Inverse Association ◽  
Nucleotide Polymorphisms ◽  
Wild Type

Fibroblast growth factor receptor 4 (FGFR4) is involved in multiple physiological and pathological processes. Several genetic variants of FGFR4 have been shown to be associated with tumor progression in many cancers. However, its association, such as genetic variants and expression levels, with lung cancer is controversial. The present study examined the relationship between four single-nucleotide polymorphisms (SNPs; rs2011077 T/C, rs351855 G/A, rs7708357 G/A, and rs1966265 A/G) of FGFR4 and the risk of lung adenocarcinoma with the epidermal growth factor receptor (EGFR) mutation status in a Taiwanese cohort. The results demonstrated that FGFR4 rs2011077 (odds ratio (OR) = 0.348, 95% confidence interval (CI) = 0.136–0.891, p = 0.024), and rs351855 (OR = 0.296, 95% CI = 0.116–0.751, p = 0.008) showed an inverse association with distant metastasis in wild-type EGFR lung adenocarcinoma. Furthermore, a database analysis using The Cancer Genome Atlas revealed that the higher FGFR4 expression level was correlated with poor survival rates in wild-type EGFR lung adenocarcinoma. In conclusion, the data suggest that FGFR4 SNPs may help in identifying patient subgroups at low-risk for tumor metastasis, among carriers of lung adenocarcinoma bearing wild-type EGFR.

scholarly journals Fine mapping genetic variants associated with age at puberty and sow fertility using SowPro90 genotyping array

2020 ◽  
Vol 98 (10) ◽  
Author(s):  
Hiruni R Wijesena ◽  
Stephen D Kachman ◽  
Clay A Lents ◽  
Jean-Jack Riethoven ◽  
Melanie D Trenhaile-Grannemann ◽  
...  
Keyword(s):  
Litter Size ◽  
Genetic Variants ◽  
Research University ◽  
Genome Wide Association Study ◽  
Candidate Snps ◽  
Nucleotide Polymorphisms ◽  
Positional Candidate ◽  
Age At Puberty ◽  
Estimated Breeding Values ◽  
Fertility Traits

Abstract Sow fertility traits, such as litter size and the number of lifetime parities produced (reproductive longevity), are economically important. Selection for these traits is difficult because they are lowly heritable and expressed late in life. Age at puberty (AP) is an early indicator of reproductive longevity. Here, we utilized a custom Affymetrix single-nucleotide polymorphisms (SNPs) array (SowPro90) enriched with positional candidate genetic variants for AP and a haplotype-based genome-wide association study to fine map the genetic sources associated with AP and other fertility traits in research (University of Nebraska-Lincoln [UNL]) and commercial sow populations. Five major quantitative trait loci (QTL) located on four Sus scrofa chromosomes (SSC2, SSC7, SSC14, and SSC18) were discovered for AP in the UNL population. Negative correlations (r = −0.96 to −0.10; P &lt; 0.0001) were observed at each QTL between genomic estimated breeding values for AP and reproductive longevity measured as lifetime number of parities (LTNP). Some of the SNPs discovered in the major QTL regions for AP were located in candidate genes with fertility-associated gene ontologies (e.g., P2RX3, NR2F2, OAS1, and PTPN11). These SNPs showed significant (P &lt; 0.05) or suggestive (P &lt; 0.15) associations with AP, reproductive longevity, and litter size traits in the UNL population and litter size traits in the commercial sows. For example, in the UNL population, when the number of favorable alleles of an SNP located in the 3′ untranslated region of PTPN11 (SSC14) increased, AP decreased (P &lt; 0.0001), while LTNP increased (P &lt; 0.10). Additionally, a suggestive difference in the observed NR2F2 isoforms usage was hypothesized to be the source of the QTL for puberty onset mapped on SSC7. It will be beneficial to further characterize these candidate SNPs and genes to understand their impact on protein sequence and function, gene expression, splicing process, and how these changes affect the phenotypic variation of fertility traits.

scholarly journals Trans-Ethnic Mapping of BANK1 Identifies Two Independent SLE-Risk Linkage Groups Enriched for Co-Transcriptional Splicing Marks

2018 ◽  
Vol 19 (8) ◽  
pp. 2331 ◽  
Author(s):  
Manuel Martínez-Bueno ◽  
Nina Oparina ◽  
Mikhail Dozmorov ◽  
Miranda Marion ◽  
Mary Comeau ◽  
...  
Keyword(s):  
B Cell ◽  
Genome Wide Association Study ◽  
Susceptibility Gene ◽  
Eqtl Analysis ◽  
Minimal Set ◽  
Genome Wide ◽  
Trait Locus ◽  
Independent Effects ◽  
Ethnic Mapping ◽  
Splice Junctions

BANK1 is a susceptibility gene for several systemic autoimmune diseases in several populations. Using the genome-wide association study (GWAS) data from Europeans (EUR) and African Americans (AA), we performed an extensive fine mapping of ankyrin repeats 1 (BANK1). To increase the SNP density, we used imputation followed by univariate and conditional analysis, combined with a haplotypic and expression quantitative trait locus (eQTL) analysis. The data from Europeans showed that the associated region was restricted to a minimal and dependent set of SNPs covering introns two and three, and exon two. In AA, the signal found in the Europeans was split into two independent effects. All of the major risk associated SNPs were eQTLs, and the risks were associated with an increased BANK1 gene expression. Functional annotation analysis revealed the enrichment of repressive B cell epigenomic marks (EZH2 and H3K27me3) and a strong enrichment of splice junctions. Furthermore, one eQTL located in intron two, rs13106926, was found within the binding site for RUNX3, a transcriptional activator. These results connect the local genome topography, chromatin structure, and the regulatory landscape of BANK1 with co-transcriptional splicing of exon two. Our data defines a minimal set of risk associated eQTLs predicted to be involved in the expression of BANK1 modulated through epigenetic regulation and splicing. These findings allow us to suggest that the increased expression of BANK1 will have an impact on B-cell mediated disease pathways.

scholarly journals GWAS of Post-Orthodontic Aggressive External Apical Root Resorption Identified Multiple Putative Loci at X-Y Chromosomes

2020 ◽  
Vol 10 (4) ◽  
pp. 169
Author(s):  
Paula Iber-Díaz ◽  
Raquel Senen-Carramolino ◽  
Alejandro Iglesias-Linares ◽  
Pablo Fernández-Navarro ◽  
Carlos Flores-Mir ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Genetic Variants ◽  
Genome Wide Association Study ◽  
Root Resorption ◽  
Genetic Model ◽  
Nucleotide Polymorphisms ◽  
Apical Root Resorption ◽  
A Genome ◽  
Increased Risk ◽  
External Apical Root Resorption

Personalized dental medicine requires from precise and customized genomic diagnostic. To conduct an association analysis over multiple putative loci and genes located at chromosomes 2, 4, 8, 12, 18, X, and Y, potentially implicated in an extreme type of external apical root resorption secondary to orthodontic forces (aEARR). A genome-wide association study of aEARR was conducted with 480 patients [ratio~1:3 case/control]. Genomic DNA was extracted and analyzed using the high-throughput Axiom platform with the GeneTitan® MC Instrument. Up to 14,377 single nucleotide polymorphisms (SNPs) were selected at candidate regions and clinical/diagnostic data were recorded. A descriptive analysis of the data along with a backward conditional binary logistic regression was used to calculate odds ratios, with 95% confidence intervals [p < 0.05]. To select the best SNP candidates, a logistic regression model was fitted assuming a log-additive genetic model using R software [p < 0.0001]. In this sample the top lead genetic variants associated with aEARR were two novel putative genes located in the X chromosome, specifically, STAG 2 gene, rs151184635 and RP1-30E17.2 gene, rs55839915. These variants were found to be associated with an increased risk of aEARR, particularly restricted to men [OR: 6.09; 95%CI: 2.6–14.23 and OR: 6.86; 95%CI: 2.65–17.81, respectively]. Marginal associations were found at previously studied variants such as SSP1: rs11730582 [OR: 0.54; 95%CI: 0.34–0.86; p = 0.008], P2RX7: rs1718119 [OR: 0.6; 95%CI: 0.36–1.01; p = 0.047], and TNFRSF11A: rs8086340 [OR: 0.6; 95%CI: 0.38–0.95; p = 0.024]), found solely in females. Multiple putative genetic variants located at chromosomes X and Y are potentially implicated in an extreme phenotype of aEARR. A gender-linked association was noted.

scholarly journals Identification of a functional genetic variant driving racially dimorphic platelet gene expression of the thrombin receptor regulator, PCTP

2017 ◽  
Vol 117 (05) ◽  
pp. 962-970 ◽  
Author(s):  
Xianguo Kong ◽  
Lukas Simon ◽  
Michael Holinstat ◽  
Chad Shaw ◽  
Paul Bray ◽  
...  
Keyword(s):  
Gene Expression ◽  
Allelic Frequency ◽  
Expression Level ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Genomic Locus ◽  
Single Nucleotide ◽  
Single Nucleotide Change ◽  
Public Data ◽  
Trait Locus

SummaryPlatelet activation in response to stimulation of the Protease Activated Receptor 4 (PAR4) receptor differs by race. One factor that contributes to this difference is the expression level of Phosphatidylcholine Transfer Protein (PCTP), a regulator of platelet PAR4 function. We have conducted an expression Quantitative Trait Locus (eQTL) analysis that identifies single nucleotide polymorphisms (SNPs) linked to the expression level of platelet genes. This analysis revealed 26 SNPs associated with the expression level of PCTP at genome-wide significance (p < 5×10–8). Using annotation from ENCODE and other public data we prioritised one of these SNPs, rs2912553, for functional testing. The allelic frequency of rs2912553 is racially-dimorphic, in concordance with the racially differential expression of PCTP. Reporter gene assays confirmed that the single nucleotide change caused by rs2912553 altered the transcriptional potency of the surrounding genomic locus. Electromobility shift assays, luciferase assays, and overexpression studies indicated a role for the megakaryocytic transcription factor GATA1. In summary, we have integrated multi-omic data to identify and functionalise an eQTL. This, along with the previously described relationship between PCTP and PAR4 function, allows us to characterise a genotype-phenotype relationship through the mechanism of gene expression.

scholarly journals ALKBH5 Gene Polymorphisms and Hepatoblastoma Susceptibility in Chinese Children

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Hui Ren ◽  
Zhen-Jian Zhuo ◽  
Fei Duan ◽  
Yong Li ◽  
Zhonghua Yang ◽  
...  
Keyword(s):  
Gene Polymorphisms ◽  
Clinical Stage ◽  
Taqman Assay ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Logistic Regression Models ◽  
Functional Annotations ◽  
Trait Locus ◽  
Positive Report ◽  
Stratified Analysis

Incidence of hepatoblastoma has been increasing, but the causes of this disease remain unclear. Some studies have suggested that abnormal expressions of ALKBH5 gene are associated with multiple cancers. This study aims to test the hypothesis that hepatoblastoma risk may be modulated by genetic polymorphisms in ALKBH5 gene based on genotyped data from samples of 328 cases and 1476 controls enrolled from eight hospitals in China. We used TaqMan assay to genotype ALKBH5 gene single nucleotide polymorphisms (SNPs) rs1378602G > A and rs8400G > A. We calculated the odds ratios (ORs) and P values using logistic regression models to estimate the association between hepatoblastoma risk and ALKBH5 gene SNPs. We found the rs1378602G > A and rs8400G > A could not impact hepatoblastoma risk in single or combined analysis. Stratified analysis revealed that subjects with the rs8400 AA genotype are prone to getting hepatoblastoma in the clinical stage III + IV subgroup (adjusted OR = 1.93, 95% CI = 1.20–3.10, P = 0.007 ), when compared to those with GG/GA genotype. False-positive report probability validated the reliability of the significant results. Preliminary functional annotations revealed that rs8400 A is correlated with increased expression of ALKBH5 gene in the expression quantitative trait locus (eQTL) analysis. In all, our investigation presents evidence of a weak impact of ALKBH5 gene polymorphisms on hepatoblastoma risk, using the largest hepatoblastoma sample size. These findings shed some light on the genetic basis of hepatoblastoma, implicating the role of ALKBH5 gene polymorphisms in the etiology of hepatoblastoma.

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