Single Nucleotide Polymorphism Profiles Research Articles

Multi-locus Test and Correction for Confounding Effects in Genome-Wide Association Studies.

Genome-wide association studies (GWAS) examine a large number of genetic variants, e. g., single nucleotide polymorphisms (SNP), and associate them with a disease of interest. Traditional statistical methods for GWASs can produce spurious associations, due to limited information from individual SNPs and confounding effects. This paper develops two statistical methods to enhance data analysis of GWASs. The first is a multiple-SNP association test, which is a weighted chi-square test derived for big contingency tables. The test assesses combinatorial effects of multiple SNPs and improves conventional methods of single SNP analysis. The second is a method that corrects for confounding effects, which may come from population stratification as well as other ambiguous (unknown) factors. The proposed method identifies a latent confounding factor, using a profile of whole genome SNPs, and eliminates confounding effects through matching or stratified statistical analysis. Simulations and a GWAS of rheumatoid arthritis demonstrate that the proposed methods dramatically remove the number of significant tests, or false positives, and outperforms other available methods.

Identification of sequence polymorphisms in the D-Loop region of mitochondrial DNA as a risk factor for colon cancer

The accumulation of single nucleotide polymorphisms (SNPs) in the displacement loop (D-Loop) of mitochondrial DNA (mtDNA) has been identified for their association with cancer risk in a number of cancers. We investigated the colon cancer risk profile of D-Loop SNPs in a case–control study. The frequent alleles of nucleotides 73G/A, 146T/C, 195T/C, 324C/G, 16261C/T, and 16304T/C as well as the minor allele of 309C/C insert were significantly associated with an increased risk for colon cancer. In conclusion, SNPs in the mtDNA D-Loop were found to be valuable markers for colon cancer risk evaluation.

The PROFILE Feasibility Study: Targeted Screening of Men With a Family History of Prostate Cancer.

A better assessment of individualized prostate cancer (PrCa) risk is needed to improve screening. The use of the prostate-specific antigen (PSA) level for screening in the general population has limitations and is not currently advocated. Approximately 100 common single nucleotide polymorphisms (SNPs) have been identified that are associated with the risk of developing PrCa. The PROFILE pilot study explored the feasibility of using SNP profiling in men with a family history (FH) of PrCa to investigate the probability of detecting PrCa at prostate biopsy (PB). The primary aim of this pilot study was to determine the safety and feasibility of PrCa screening using transrectal ultrasound-guided PB with or without diffusion-weighted magnetic resonance imaging (DW-MRI) in men with a FH. A secondary aim was to evaluate the potential use of SNP profiling as a screening tool in this population. A total of 100 men aged 40-69 years with a FH of PrCa underwent PB, regardless of their baseline PSA level. Polygenic risk scores (PRSs) were calculated for each participant using 71 common PrCa susceptibility alleles. We treated the disease outcome at PB as the outcome variable and evaluated its associations with the PRS, PSA level, and DW-MRI findings using univariate logistic regression. Of the 100 men, 25 were diagnosed with PrCa, of whom 12 (48%) had clinically significant disease. Four adverse events occurred and no deaths. The PSA level and age at study entry were associated with PrCa at PB (p = .00037 and p = .00004, respectively). The results of the present pilot study have demonstrated that PB is a feasible and safe method of PrCa screening in men with a FH, with a high proportion of PrCa identified requiring radical treatment. It is feasible to collect data on PrCa-risk SNPs to evaluate their combined effect as a potential screening tool. A larger prospective study powered to detect statistical associations is in progress. Prostate biopsy is a feasible and safe approach to prostate cancer screening in men with a family history and detects a high proportion of prostate cancer that needs radical treatment. Calculating a polygenic risk score using prostate cancer risk single nucleotide polymorphisms could be a potential future screening tool for prostate cancer.

Genomic Prediction of Testcross Performance in Canola (Brassica napus).

Genomic selection (GS) is a modern breeding approach where genome-wide single-nucleotide polymorphism (SNP) marker profiles are simultaneously used to estimate performance of untested genotypes. In this study, the potential of genomic selection methods to predict testcross performance for hybrid canola breeding was applied for various agronomic traits based on genome-wide marker profiles. A total of 475 genetically diverse spring-type canola pollinator lines were genotyped at 24,403 single-copy, genome-wide SNP loci. In parallel, the 950 F1 testcross combinations between the pollinators and two representative testers were evaluated for a number of important agronomic traits including seedling emergence, days to flowering, lodging, oil yield and seed yield along with essential seed quality characters including seed oil content and seed glucosinolate content. A ridge-regression best linear unbiased prediction (RR-BLUP) model was applied in combination with 500 cross-validations for each trait to predict testcross performance, both across the whole population as well as within individual subpopulations or clusters, based solely on SNP profiles. Subpopulations were determined using multidimensional scaling and K-means clustering. Genomic prediction accuracy across the whole population was highest for seed oil content (0.81) followed by oil yield (0.75) and lowest for seedling emergence (0.29). For seed yieId, seed glucosinolate, lodging resistance and days to onset of flowering (DTF), prediction accuracies were 0.45, 0.61, 0.39 and 0.56, respectively. Prediction accuracies could be increased for some traits by treating subpopulations separately; a strategy which only led to moderate improvements for some traits with low heritability, like seedling emergence. No useful or consistent increase in accuracy was obtained by inclusion of a population substructure covariate in the model. Testcross performance prediction using genome-wide SNP markers shows considerable potential for pre-selection of promising hybrid combinations prior to resource-intensive field testing over multiple locations and years.

The Genotypic and Phenotypic Stability of Plasmodium falciparum Field Isolates in Continuous In Vitro Culture

The Plasmodium falciparum in vitro culture system is critical for genotypic and phenotypic analyses of the parasites. For genotypic analysis, the genomic DNA can be obtained directly from the patient blood sample or from culture adapted parasites whereas for phenotypic analysis, immediate ex vivo or in vitro culture adapted parasites are used. However, parasite biology studies have not investigated whether culture adaptation process affects genotypic and/or phenotypic characteristics of the parasites in short- or long-term cultures. Here, we set out to study the dynamics and stability of parasite genetic and phenotypic profiles as field isolate parasites were adapted in continuous cultures. Parasites collected from three different patients presenting with uncomplicated malaria were adapted and maintained in drug-free continuous cultures. Aliquots from the continuous cultures were collected every 24–48 hours for analyses. Each aliquot was treated as a separate parasite sample. For genetic analysis, microsatellite (MS) typing and single nucleotide polymorphism (SNP) analyses of 23 drug resistance markers were done. The 50% inhibitory concentrations (IC50) for some of the samples were also established for four antimalarial drugs. Samples from each patient (parasite-line) were compared as they were passed through the continuous culture. Data revealed genotypic and phenotypic profiles for the three parasite-lines fluctuated from one generation to the next with no specific pattern or periodicity. With few exceptions, multilocus analysis revealed samples from each parasite-line had high genetic diversity with unique haplotypes. Interestingly, changes in MS and SNP profiles occurred simultaneously. The difference in the IC50s of samples in each parasite-line reached statistical significance. However, phenotypic changes did not correspond or correlate to genotypic changes. Our study revealed parasite genetic and phenotypic characteristics fluctuates in short- and long-term cultures, which indicates parasite genetic information obtained even in short cultures is likely to be different from the natural infection parasites.

Presence of sequence and SNP variation in the IRF6 gene in healthy residents of Guangdong Province

AbstractObjectiveThis study was to investigate the single nucleotide polymorphism (SNP) in the interferon regulatory factor 6 (IRF6) gene in healthy residents of Guangdong Province, China, for further analysis of their associations with the development of cleft lip with or without palate (CL/P).MethodologyDNA was extracted from blood samples of 13 healthy residents. IRF6 genes were sequenced and analyzed by alignment to the reference sequences in GenBank.ResultsThe IRF6 genes containing 45.21% GC were 25016–25046 bp in length, and had 2215-bp exons and a 1404-bp coding region. There were 65 SNPs, including 58 SNPs in the 5′-untranslated region or introns and 7 SNPs in the exons. These sites had two alleles, including 39 transition sites and 26 transversion sites. Five novel SNPs were identified. c. 459G>T and c. 820G>A in the coding region represented silent and Val274Ile mutations, respectively. The SNPs made two sequences (GenBank HQ875393 and JF346417).ConclusionsThe sequences and SNP profiles of the IRF6 gene in healthy residents of Guangdong Province are consistent with the one in GenBank but with slight variations. Our findings form a basis for further investigation of the association between IRF6 gene polymorphisms and CL/P in residents of Guangdong Province.

Genetic heterogeneity after first-line chemotherapy in high-grade serous ovarian cancer

BackgroundMost high-grade serous ovarian carcinoma (HGSOC) patients benefit from first-line platinum-based chemotherapy, but progressively develop resistance during subsequent lines. Re-activating BRCA1 or MDR1 mutations can underlie platinum resistance in end-stage patients. However, little is known about resistance mechanisms occurring after a single line of platinum, when patients still qualify for other treatments. MethodsIn 31 patients with primary platinum-sensitive HGSOC, we profiled tumours collected during debulking surgery before and after first-line chemotherapy using whole-exome sequencing and single nucleotide polymorphism profiling. ResultsBesides germline BRCA1/2 mutations, we observed frequent loss-of-heterozygosity in homologous recombination (HR) genes and mutation spectra characteristic of HR-deficiency in all tumours. At relapse, tumours differed considerably from their primary counterparts. There was, however, no evidence of events reactivating the HR pathway, also not in tumours resistant to second-line platinum. Instead, a platinum score of 13 copy number regions, among other genes including MECOM, CCNE1 and ERBB2, correlated with platinum-free interval (PFI) after first-line therapy, whereas an increase of this score in recurrent tumours predicted the change in PFI during subsequent therapy. ConclusionsAlready after a single line of platinum, there is huge variability between primary and recurrent tumours, advocating that in HGSOC biopsies need to be collected at relapse to tailor treatment options to the underlying genetic profile. Nevertheless, all primary platinum-sensitive HGSOCs remained HR-deficient, irrespective of whether they became resistant to second-line platinum, further suggesting these tumours qualify for second-line Poly APD ribose polymerase (PARP) inhibitor treatment. Finally, chromosomal instability contributes to acquired resistance after a single line of platinum therapy.

Multiplexed High Resolution Melting Assay for Versatile Sample Tracking in a Diagnostic and Research Setting

Modern experimental procedures in molecular genetics, such as next-generation sequencing experiments, require that samples are taken along a whole series of wet- and dry-laboratory steps. It generally is accepted that by increasing the complexity and number of steps in the experimental pipeline, the risk of sample swaps increases. It therefore is recommended to confirm the identity of each individual sample at the end of any pipeline. Here, we present a versatile assay to determine the identity of samples rapidly and efficiently by genotyping 21 single-nucleotide polymorphisms (SNPs) using multiplex high resolution melting. The selected SNPs also are present in whole-exome sequencing data, and comparison of the differentially obtained genotypes allows reliable identification of individual samples. In this assay, we combined primers interrogating two to three SNPs per high resolution melting reaction, enabling the generation of the SNP genotype profile in only eight reactions per sample, limiting the hands-on time and minimizing the amount of reagents. This SNP profiling approach also can be used to track samples in custom next-generation sequencing enrichment panels by including these 21 SNPs in the target region, allowing for the often-required independent validation of sample identity in both clinical and research settings.

Pushing the limits of preimplantation genetic diagnosis (PGD): a Karyomapping and Next Generation Sequencing (NGS) stress test

We sought to examine the limits of embryo genetic analysis by performing PGD and aneuploidy screening (PGS) in 1) a consanguineous mating for, 2) two disease-causing point mutations and 3) HLA-genotyping to match 3 affected children while 4) detecting genetic recombination and potential maternal cell contamination, and 5) 24-chromosome aneuploidy screening with NGS. Karyomapping utilizes ∼300,000 Single Nucleotide Polymorphisms (SNPs) across the human genome and allows high-resolution analysis for nearly every gene. We used karyomapping to rapidly design a PGD test targeting the HBB gene and the highly recombinant HLA locus to identify embryos with one or both healthy HBB alleles and an HLA genotype matching the children in need of transplantation. Cheek-swab kits were used to collect DNA samples from the parents and affected children. Mutation status of each individual was confirmed by direct sequencing. DNA samples were analyzed using the Infinium HumanKaryomap-12 DNA Analysis Kit from Illumina. BluFuse Multi software was used to compare the SNP profiles of each family member to identify informative SNPs, regions of consanguinity, and determine HLA phase for each affected child. NGS was used for 24-chromosome aneuploidy screening. We identified sufficient informative SNPs surrounding the HBB gene and HLA region to track the inheritance of familial haplotypes. As expected, the same HBB haplotypes were observed in each affected child. Two children were found to have the same set of HLA haplotypes, while the third inherited the opposite paternal HLA haplotype. This is consistent with the HLA-typing reported by an external laboratory. Recombination and consanguineous regions were observed but did not impact our ability to determine genetic phase. We successfully used karyomapping to build a complex PGD test, which would have been highly challenging using previous methods. Moreover, we determined the HLA phases of all three children simultaneously and confirmed that recombination and consanguinity would not interfere with diagnosis or HLA matching. Our success addresses concerns about using karyomapping for HLA matching and diagnosing embryos of consanguineous families. Karyomapping combined with PGS by Next-Generation Sequencing represents a great advance to the field, 25 years after its inception.

Exploration of SNP variants affecting hair colour prediction in Europeans.

DNA profiling is a key tool for forensic analysis; however, current methods identify a suspect either by direct comparison or from DNA database searches. In cases with unidentified suspects, prediction of visible physical traits e.g. pigmentation or hair distribution of the DNA donors can provide important probative information. This study aimed to explore single nucleotide polymorphism (SNP) variants for their effect on hair colour prediction. A discovery panel of 63 SNPs consisting of already established hair colour markers from the HIrisPlex hair colour phenotyping assay as well as additional markers for which associations to human pigmentation traits were previously identified was used to develop multiplex assays based on SNaPshot single-base extension technology. A genotyping study was performed on a range of European populations (n = 605). Hair colour phenotyping was accomplished by matching donor's hair to a graded colour category system of reference shades and photography. Since multiple SNPs in combination contribute in varying degrees to hair colour predictability in Europeans, we aimed to compile a compact marker set that could provide a reliable hair colour inference from the fewest SNPs. The predictive approach developed uses a naïve Bayes classifier to provide hair colour assignment probabilities for the SNP profiles of the key SNPs and was embedded into the Snipper online SNP classifier ( http://mathgene.usc.es/snipper/ ). Results indicate that red, blond, brown and black hair colours are predictable with informative probabilities in a high proportion of cases. Our study resulted in the identification of 12 most strongly associated SNPs to hair pigmentation variation in six genes.

Scavenger receptor class B type 1 gene rs5888 single nucleotide polymorphism and lipid profile in Caucasian population of West Siberia

Scavenger receptor class B type 1 gene rs5888 single nucleotide polymorphism and lipid profile in Caucasian population of West Siberia

Gender-specific association between the cytoplasmic poly(A) binding protein 4 rs4660293 single nucleotide polymorphism and serum lipid levels.

Cytoplasmic poly(A) binding protein 4 (PABPC4) is an RNA-processing protein which has an important role in regulating gene expression. The association of the PABPC4 rs4660293 single nucleotide polymorphism (SNP) and serum lipid profiles has, to the best of our knowledge, not previously been studied in the Chinese population. The present study aimed to investigate the association between the PABPC4 rs4660293 SNP and several environmental factors with serum lipid levels in the Mulao and Han populations. A total of 727 individuals of Mulao nationality and 729 individuals of Han nationality were randomly selected from stratified randomized samples from a previous study by our group. Genotypes of the PABPC4 rs4660293 SNP were determined via polymerase chain reaction and restriction fragment length polymorphism analyses and subsequently confirmed by direct sequencing. Serum levels of low-density lipoprotein cholesterol (LDL-C) and apolipoprotein (Apo) B were higher in the Mulao group than those in the Han group (P<0.01 for each). The genotypic and allelic frequencies of the PABPC4 rs4660293 SNP were significantly different between males and females in the Mulao population (P<0.05 for each), while no significant difference was detected between those of males and females amongst the Han population. The frequency of the G allele was higher in Mulao males than in Mulao females (22.12 vs. 13.44%). The G allele carriers were found to have higher total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and ApoAI levels in Han females but not in Han males, and lower TC and HDL-C levels in Mulao females but not in Mulao males than those of the G allele non-carriers (P<0.05 for all). These associations were confirmed by multiple linear regression analysis (P<0.05–0.001). Serum lipid parameters were also correlated with multiple environmental factors (P<0.05–0.001). The PABPC4 rs4660293 SNP was associated with serum TC, HDL-C, LDL-C and ApoAI levels in these study populations; however, the association varied between the Mulao and Han populations. A gender-specific association was identified in the populations of the two ethnic groups.

A resource for cell line authentication, annotation and quality control.

Cell line misidentification, contamination and poor annotation affect scientific reproducibility. Here we outline simple measures to detect or avoid cross-contamination, present a framework for cell line annotation linked to short tandem repeat and single nucleotide polymorphism profiles, and provide a catalogue of synonymous cell lines. This resource will enable our community to eradicate the use of misidentified lines and generate credible cell-based data.

Uncoupling between core genome and virulome in extraintestinal pathogenicEscherichia coli

Extraintestinal pathogenic Escherichia coli (ExPEC) are among the most frequently isolated bacterial pathogens in hospitals. They are considered opportunistic pathogens and are found mostly in urinary and bloodstream infections. They are genetically diverse, and many studies have sought associations between genotypes or virulence genes and infection site, severity, or outcome, with varied, often contradictory, results. To understand these difficulties, we have analyzed the diversity patterns in the core genomes and virulomes of more than 500 ExPEC isolates from 5 different collections. The core genome was analyzed using a multilocus sequence type-based single-nucleotide polymorphism (SNP) pyrosequencing approach, while the virulence gene content (the virulome) was studied by polymerase chain reaction detection of 25 representative genes. SNP typing showed a similar population structure in the different collections: half of the isolates belong to a few sequence types (5 to 8), while the other half is composed of a large diversity of sequence types that are found once or twice. Sampling analysis by rarefaction plots of SNP profiles showed saturation curves indicative of a limited diversity. Contrary to this, the virulome shows an extremely high diversity, with almost as many gene profiles as isolates, and linear, nonsaturating, rarefaction plots, even within sequence types. These data show that genetic exchange rates are very heterogeneous along the chromosome, being much higher in the virulome fraction of the genome than in the core genome.

GenoExp: a web tool for predicting gene expression levels from single nucleotide polymorphisms.

Understanding the effect of single nucleotide polymorphisms (SNPs) on the expression level of genes is an important goal. We recently published a study in which we devised a multi-SNP predictive model for gene expression in Lymphoblastoid cell lines (LCL), and showed that it can robustly predict the expression of a small number of genes in test individuals. Here, we validate the generality of our models by predicting expression profiles for genes in LCL in an independent study, and extend the pool of predictable genes for which we are able to explain more than 25% of their expression variability to 232 genes across 14 different cell types. As the number of people who obtained their SNP profiles through companies such as 23andMe is rising rapidly, we developed GenoExp, a web-based tool in which users can upload their individual SNP data and obtain predicted expression levels for the set of predictable genes across the 14 different cell types. Our tool thus allows users with biological knowledge to study the possible effects that their set of SNPs might have on these genes and predict their cell-specific expression levels relative to the population average. GenoExp is freely available at http://genie.weizmann.ac.il/pubs/GenoExp/.

Identification of lung cancer oncogenes based on the mRNA expression and single nucleotide polymorphism profile data.

This study aimed to identify the oncogenes associated with lung cancer based on the mRNA and single nucleotide polymorphism (SNP) profile data. The mRNA expression profile data of GSE43458 (80 cancer and 30 normal samples) and SNP profile data of GSE33355 (61 pairs of lung cancer samples and control samples) were downloaded from Gene Expression Omnibus database. Common genes between the mRNA profile and SNP profile were identified as the lung cancer oncogenes. Risk subpathways of the selected oncogenes with the SNP locus were analyzed using the iSubpathwayMiner package in R. Moreover, protein-protein interaction (PPI) network of the oncogenes was constructed using the HPRD database and then visualized using the Cytoscape. Totally, 3004 DEGs (1105 up-regulated and 1899 down-regulated) and 125 significant SNPs closely related to 174 genes in the lung cancer samples were identified. Also, 39 common genes, like PFKP (phosphofructokinase, platelet) and DGKH-rs11616202 (diacylglycerol kinase, eta) that enriched in sub-pathways such as galactose metabolism, fructose and mannose metabolism, and pentose phosphate pathway, were identified as the lung cancer oncogenes. Besides, PIK3R1 (phosphoinositide-3-kinase, regulatory subunit 1), RORA (RAR-related orphan receptor A), MAGI3 (membrane associated guanylate kinase, WW and PDZ domain containing 3), PTPRM (protein tyrosine phosphatase, receptor type, M), and BMP6 (bone morphogenetic protein 6) were the hub genes in PPI network. Our study suggested that PFKP and DGKH that enriched in galactose metabolism, fructose and mannose metabolism pathway, as well as PIK3R1, RORA, and MAGI3, may be the lung cancer oncogenes.

Development of a rapid SNP-typing assay to differentiate Bifidobacterium animalis ssp. lactis strains used in probiotic-supplemented dairy products

Identification at the genus, species, and strain levels is desirable when a probiotic microorganism is added to foods. Strains of Bifidobacterium animalis ssp. lactis (BAL) are commonly used worldwide in dairy products supplemented with probiotic strains. However, strain discrimination is difficult because of the high degree of genome identity (99.975%) between different genomes of this subspecies. Typing of monomorphic species can be carried out efficiently by targeting informative single nucleotide polymorphisms (SNP). Findings from a previous study analyzing both reference and commercial strains of BAL identified SNP that could be used to discriminate common strains into 8 groups. This paper describes development of a minisequencing assay based on the primer extension reaction (PER) targeting multiple SNP that can allow strain differentiation of BAL. Based on previous data, 6 informative SNP were selected for further testing, and a multiplex preliminary PCR was optimized to amplify the DNA regions containing the selected SNP. Extension primers (EP) annealing immediately adjacent to the selected SNP were developed and tested in simplex and multiplex PER to evaluate their performance. Twenty-five strains belonging to 9 distinct genomic clusters of B. animalis ssp. lactis were selected and analyzed using the developed minisequencing assay, simultaneously targeting the 6 selected SNP. Fragment analysis was subsequently carried out in duplicate and demonstrated that the assay yielded 8 specific profiles separating the most commonly used commercial strains. This novel multiplex PER approach provides a simple, rapid, flexible SNP-based subtyping method for proper characterization and identification of commercial probiotic strains of BAL from fermented dairy products. To assess the usefulness of this method, DNA was extracted from yogurt manufactured with and without the addition of B. animalis ssp. lactis BB-12. Extracted DNA was then subjected to the minisequencing protocol, resulting in a SNP profile matching the profile for the strain BB-12.

Identification of sequence polymorphisms in the D-Loop region of mitochondrial DNA as a risk factor for gastric cancer

The accumulation of single nucleotide polymorphisms (SNPs) in the displacement loop (D-Loop) of mitochondrial DNA (mtDNA) has been identified for their association with cancer risk in different types of cancers. We investigated the gastric cancer risk profile of D-Loop SNPs in a case-control study. The frequent alleles of nucleotides 73G/A, 235A/G, 309C/C insert, 324C/G, 16,362T/C and 16,519C/T were significantly associated with an increased risk for gastric cancer, whereas the frequent alleles of nucleotides 523–524AC/del were associated with resistance to gastric cancer. In conclusion, SNPs in the mtDNA D-Loop were found to be valuable markers for gastric cancer risk evaluation.

Effects of gender, cytokine gene polymorphisms and environmental factors on inflammatory responses.

Previous studies have indicated that cytokine gene polymorphisms of Indigenous Australians were predominantly associated with strong pro-inflammatory responses. We tested the hypothesis that cells of donors with genetic profiles of inflammatory cytokine single nucleotide polymorphisms (SNPs) similar to Indigenous Australians produce higher pro-inflammatory responses. PBMCs from 14 donors with genetic profiles for a high risk of strong pro-inflammatory responses and 14 with low-risk profiles were stimulated with endotoxin and effects of gender, IFN-γ, cigarette smoke extract (CSE) and testosterone on cytokine responses analysed. Cytokines were calculated from standard curves (Luminex 2.3 software). No significant differences were associated with SNP profile alone. Lower pro-inflammatory responses were observed for cells from males with low- or high-risk profiles. For cells from females with high-risk profiles, anti-inflammatory IL-10 responses were significantly reduced. There was no effect of testosterone levels on responses from males. For females, results from IFN-γ-treated cells showed positive correlations between testosterone levels and IL-1β responses to endotoxin for both risk groups and TNF-α for the high-risk group. If interactions observed among CSE, IFN-γ, genetic background and testosterone reflect those in vivo, these might contribute to increased incidences of hospitalisations for infectious diseases among Indigenous women.

Identification of differently expressed genes with specific SNP Loci for breast cancer by the integration of SNP and gene expression profiling analyses.

This study aims to explore the relationship between gene polymorphism and breast cancer, and to screen DEGs (differentially expressed genes) with SNPs (single nucleotide polymorphisms) related to breast cancer. The SNPs of 17 patients and the preprocessed SNP profiling GSE 32258 (38 cases of normal breast cells) were combined to identify their correlation with breast cancer using chi-square test. The gene expression profiling batch8_9 (38 cases of patients and 8 cases of normal tissue) was preprocessed with limma package, and the DEGs were filtered out. Then fisher's method was applied to integrate DEGs and SNPs associated with breast cancer. With NetBox software, TRED (Transcriptional Regulatory Element Database) and UCSC (University of California Santa Cruz) database, genes-associated network and transcriptional regulatory network were constructed using cytoscape software. Further, GO (Gene Ontology) and KEGG analyses were performed for genes in the networks by using siggenes. In total, 332 DEGs were identified. There were 160 breast cancer-related SNPs related to 106 genes of gene expression profiling (19 were significant DEGs). Finally, 11co-correlated DEGs were selected. In genes-associated network, 9 significant DEGs were correlated to 23 LINKER genes while, in transcriptional regulatory network, E2F1 had regulatory relationships with 7 DEGs including MTUS1, CD44, CCNB1 and CCND2. KRAS with SNP locus of rs1137282 was involved in 35 KEGG pathways. The genes of MTUS1, CD44, CCNB1, CCND2 and KRAS with specific SNP loci may be used as biomarkers for diagnosis of breast cancer. Besides, E2F1 was recognized as the transcription factor of 7 DEGs including MTUS1, CD44, CCNB1 and CCND2.