Single nucleotide polymorphisms (SNPs) in the estrogen receptor gene and breast cancer susceptibility

In order to evaluate the role of inherited variation in the estrogen receptor (ESR1) gene in human breast cancer, we determined intronic sequences flanking each ESRI exon; identified multiple SNPs and length polymorphisms in the ESR1 coding sequence, splice junctions and regulatory regions; and genotyped families at high risk of breast cancer and population-based breast cancer patients and controls. Of 10 polymorphic sites in ESR1, four are synonymous SNPs, two are nonsynonymous SNPs and four are length polymorphisms; five are novel. No ESR1 polymorphisms were associated with breast cancer, either in the high-risk families or the case-control study. We therefore conclude that inherited genetic variation is not a mechanism by which the estrogen receptor is commonly involved in breast cancer development.     

Single nucleotide polymorphisms (SNPs) that map to gaps in the human SNP map

An international effort is underway to generate a comprehensive haplotype map (HapMap) of the human genome represented by an estimated 300000 to 1 million ‘tag’ single nucleotide polymorphisms (SNPs). Our analysis indicates that the current human SNP map is not sufficiently dense to support the HapMap project. For example, 24.6% of the genome currently lacks SNPs at the minimal density and spacing that would be required to construct even a conservative tag SNP map containing 300 000 SNPs. In an effort to improve the human SNP map, we identified 140 696 additional SNP candidates using a new bioinformatics pipeline. Over 51 000 of these SNPs mapped to the largest gaps in the human SNP map, leading to significant improvements in these regions. Our SNPs will be immediately useful for the HapMap project, and will allow for the inclusion of many additional genomic intervals in the final HapMap. Nevertheless, our results also indicate that additional SNP discovery projects will be required both to define the haplotype architecture of the human genome and to construct comprehensive tag SNP maps that will be useful for genetic linkage studies in humans.     

Single nucleotide polymorphisms in the human E-cadherin gene

We report four DNA variants in the gene coding for the cell adhesion molecule E-cadherin. The polymorphisms affect codons 115, 133, 582 and the 3-noncoding region.     

Single nucleotide polymorphisms (SNPs) are inherited from parents and they measure heritable events

Single nucleotide polymorphisms (SNPs) are extensively used in case-control studies of practically all cancer types. They are used for the identification of inherited cancer susceptibility genes and those that may interact with environmental factors. However, being genetic markers, they are applicable only on heritable conditions, which is often a neglected fact. Based on the data in the nationwide Swedish Family-Cancer Database, we review familial risks for all main cancers and discuss the evidence for a heritable component in cancer. The available evidence is not conclusive but it is consistent in pointing to a minor heritable etiology in cancer, which will hamper the success of SNP-based association studies. Empirical familial risks should be used as guidance for the planning of SNP studies. We provide calculations for the assessment of familial risks for assumed allele frequencies and gene effects (odds ratios) for different modes of inheritance. Based on these data, we discuss the gene effects that could account for the unexplained proportion of familial breast and lung cancer. As a conclusion, we are concerned about the indiscriminate use of a genetic tool to cancers, which are mainly environmental in origin. We consider the likelihood of a successful application of SNPs in gene-environment studies small, unless established environmental risk factors are tested on proven candidate genes.     

Single nucleotide polymorphisms (SNPs) within Bov-A2 SINE in the second intron of bovine and buffalo k-casein (CSN3) gene

The genetic polymorphism of an entire Bov-A2 element located in the second intron of the buffalo and bovine k-casein (CSN3) gene was investigated by amplification and sequencing of PCR products. Single nucleotide polymorphisms were detected. A PCR-RFLP method was developed to detect an A or G mutation at position 605 of bovine Bov-A2 element which creates a BfaI polymorphic site. The frequencies of the B allele, with the BfaI site, were for 0.275, 0.775, 0.750, 0.975, respectively, for Italian Holstein Friesian, Grey Alpine, Friuli Red Pied and Reggio bovine breeds. The mutation rate (substitutions and deletions/insertions per nucleotide site per year) was 2.5 x 10(-9) for Bov-A2 sequences in the second intron of CSN3. The comparison with other Bov-A2 elements suggests that this retroelement might be an important source of single nucleotide polymorphism for analysis of Bovidae genomes.     

Single nucleotide polymorphisms in caprine calpastatin gene

The calpains and calpastatin (CAST) make up a major cytosolic proteolytic system, the calpain-calpastatin system, found in mammalian tissues. The relative levels of the components of the calpain-calpastatin system determine the extent of meat tenderization during postmortem storage. Calpastatin (CAST) is a protein inhibitor of the ubiquitous calcium-dependent proteases, μ-calpain, and m-calpain. Polymorphisms in the bovine, ovine and pig CAST gene have been associated with meat tenderness but little is known about how caprine CAST gene may affect goat meat quality traits. In this study we selected different parts of the CAST gene: (1) that have been previously reported to be polymorphic, intron 5 and 12 and 3’UTR; (2) first time explored (exon 3, 7 and 8 and part of intron 7 and 8) to investigate polymorphic status of caprine CAST gene. Using comparative sequencing ten novel SNPs located in exon 3 and intron 5, 7 and 8 were identified. Previously reported SNPs in intron 5, 3’UTR and intron 12 were absent. Sequence analysis revealed a non synonymous amino acid variation in exon 3, which would result in Lys/Arg substitution in the corresponding protein sequence. Considerable variation was detected in intronic regions. Twenty-four InDel were also recognized in intronic regions (15) and 3’UTR (9). All the sequences shared high homology with published bovine and ovine sequences. Three PCR-RFLP loci have been established for further analyzing genetic polymorphism in indigenous goats.     

Detection of exon polymorphisms in the human lactoferrin gene.

We previously demonstrated that lactoferrin gene polymorphisms occur in cancer cells of patients with leukemia and breast cancer. In this study, we established a non-radioactive polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) analysis, one of the most sensitive and simplest methods to detect polymorphisms and mutations of the human lactoferrin gene. We optimized the PCR conditions for nine different DNA templates and 16 pairs of exon primers for SSCP analysis. The DNA templates used in the analyses were prepared from a cosmid clone (CT6-1) that contains the human lactoferrin gene, human placental tissue, leukocytes from 10 normal volunteers, leukemic cells of two patients, and previously established three breast and two leukemic cell lines. With the appropriate exon-primer sets, PCR products from exon I to exon 16 of the lactoferrin gene were generated from the DNA templates and analyzed by SSCP. Compared with the homogenous cloned DNA, lactoferrin gene polymorphisms were detected within exons 2, 5, 7, 9, 13, 14, and 15 of the normal placental and leukocyte DNA. In addition, abnormal migration patterns of the lactoferrin gene in cancer cells were detected in exons 4, 5, 13, 14, and 15. The PCR-SSCP band migration patterns can be attributed either to gene polymorphism in normal cells or to DNA mutations in cancer cells and the employed method cannot distinguish between them. Nonetheless, the present analysis suggests that genetic polymorphisms of the lactoferrin gene exist in selected exons and additional mutations of the lactoferrin gene do occur in the cancer cells.     

Population frequencies of single nucleotide polymorphisms (SNPs) in immuno-modulatory genes

Inherited polymorphisms in immuno-modulatory genes may contribute to variations in immune function and genetic susceptibility for complex diseases, including cancer. We report results from a comprehensive study to discover novel single nucleotide polymorphisms (SNPs) and to estimate allelic frequency for both novel and known coding and regulatory region SNPs in genes encoding proteins that have been implicated in the immune response to tumors. We identified 12 novel nucleotide substitution variants and one deletion variant in 17 genes analyzed (TGFBETA;R, BETA;2M, IFNGAMMA;, TNFALPHA;, TNFALPHA;R, LTALPHA;, IL-6, IL-12, IL-2, IL-1ALPHA;, IL-1BETA;, IL-1RN, IL-10, CTLA4, CD40L, FAS and FASL). We determined the frequency of these novel polymorphisms, as well as 17 previously identified polymorphisms, in a control sample of 158 individuals, approximately half of which were Caucasian (n = 74) and half of which were African American (n = 84). Significant differences in allele frequencies were observed between the two racial groups for 13/17 genes tested. These allelic variations maybe associated with alterations in immune function and thus susceptibility to a number of complex disease states such as cancer.     

Single nucleotide polymorphisms and disease gene mapping

Single nucleotide polymorphisms are the most important and basic form of variation in the genome, and they are responsible for genetic effects that produce susceptibility to most autoimmune diseases. The rapid development of databases containing very large numbers of single nucleotide polymorphisms, and the characterization of haplotypes and patterns of linkage disequilibrium throughout the genome, provide a unique opportunity to advance association strategies in common disease rapidly over the next few years. Only the careful use of these strategies and a clear understanding of their statistical limits will allow novel genetic determinants for many of the common autoimmune diseases to be determined.     

Single nucleotide polymorphisms in the equine transferrin gene

Single nucleotide polymorphisms (SNPs) in exons 13, 15 and 16 of equine transferrin for common, rare and mutant variants were investigated. Compared with previous work a further 13 SNPs have been identified, allowing for the two previously identified clades to be subdivided into 11 groups. A combination of one or more of eight SNPs can be used to classify the equine variants into these 11 groups, since most are co-inherited. Putative sites of glycosylation in exons 13 and 16 showed no polymorphism, suggesting that presence or absence of sugar moieties does not lead to electrophoretic variation between the variants. Using the 26 SNPs currently identified in transferrin it is still not possible to differentiate variants F1 from F2, or D from H2, which represent 75% of the variants occurring in Thoroughbred equine population. This suggests that further SNPs exist in equine transferrin. The significance of the high level of variation in exon 15 is discussed.     

Genotyping single nucleotide polymorphisms (SNPs) across species in Old World Monkeys

The development of DNA markers is becoming increasingly useful in the field of primatology for studies on paternity, population history, and biomedical research. In this study, we determine the efficacy of using cross-species amplification to identify single nucleotide polymorphisms (SNPs) in closely related species. The DNA of 93 individuals representing seven Old World Monkey species was analyzed to identify SNPs using cross-species amplification and genotyping. The loci genotyped were 653 SNPs identified and validated in rhesus macaques. Of the 653 loci analyzed, 27% were estimated to be polymorphic in the samples studied. SNPs identified at the same locus among different species (coincident SNPs) were found in six of the seven species studied with longtail macaques exhibiting the highest number of coincident SNPs (84). The distribution of coincident SNPs among species is not biased based on proximity to genes in the samples studied. In addition, the frequency of coincident SNPs is not consistent with expectations based on their phylogenetic relationships. This study demonstrates that cross-species amplification and genotyping using the Illumina Golden Gate Array is a useful method to identify a large number of SNPs in closely related species, although issues with ascertainment bias may limit the type of studies where this method can be applied.     

The influence of neighboring-nucleotide composition on single nucleotide polymorphisms (SNPs) in the mouse genome and its comparison with human SNPs

We analyzed the neighboring-nucleotide composition of 433,192 biallelic substitutions, representing the largest public collection of SNPs across the mouse genome. Large neighboring-nucleotide biases relative to the genome- or chromosome-specific average were observed at the immediate adjacent sites and small biases extended farther from the substitution site. For all substitutions, the biases for A, C, G, and T were 0.21, 2.63, 0.71, and -3.55%, respectively, on the immediate adjacent 5' site and -3.67, 0.75, 2.69, and 0.23%, respectively, on the immediate adjacent 3' side. Further examination of the six categories of substitution revealed that the neighboring-nucleotide patterns for transitions were strongly influenced by the hypermutability of dinucleotide CpG and the neighboring effects on transversions were complex. Probability of a transversion increased with increasing A + T content of the two immediate adjacent sites, which was similarly observed in the human and Arabidopsis genomes. Overall, the bias patterns for the neighboring nucleotides in the mouse and human genomes were essentially the same; however, the extent of the biases was notably less in mice. Our results provide the first comprehensive view of the neighboring-nucleotide effects in the mouse genome and are important for understanding the mutational mechanisms and sequence evolution in the mammalian genomes.     

特发性少精子症和无精子症与Pygo2基因蛋白编码区SNPs的相关性

男性不育常伴随精子数量减少。Pygo2基因在染色质重塑的伸长精细胞中表达, 其功能受损会导致精子形成阻滞和精子生成减少而引发不育。文章旨在检测引起人特发性少精子症和无精子症的Pygo2基因突变。从77例正常生育力男性和195例特发性少精子症和无精子症患者静脉血提取DNA, 采用聚合酶链式反应-测序方法对Pygo2基因3个蛋白质编码区进行测序对比, 非同义单核苷酸多态性(Single nucleotide polymorphisms, SNPs)位点分别用SIFT、Polyphen-2和 Mutation Taster软件进行诱发蛋白质结构和表型改变的检测和分析。结果表明, 195例患者中, 178例(30例轻度或中度少精子症, 57例重度少精子症和91例无精子症)基因序列分析报告完好, 无精子症中3例患者分别在2个位点(rs61758740, rs141722381)发生了非同义突变SNPs, 重度少精子症中1例患者在位点rs61758741发生了非同义突变, 3个突变位点在SNPs基因数据库都已有报道, 轻度或中度少精子症患者以及正常生育力男性中不存在SNPs。rs61758740可使PYGO2蛋白第141位蛋氨酸(M)变为异亮氨酸(I), rs61758741使PYGO2蛋白第261位碱性赖氨酸(K)变为酸性谷氨酸(E), rs141722381使PYGO2蛋白第240位亲水侧链天冬酰胺(N)变为疏水侧链异亮氨酸(I)。软件分析表明, 在所发现的3个SNP非同义突变位点中, rs141722381引起的单个氨基酸改变会导致PYGO2蛋白空间结构破坏和诱发相关疾病。因此, Pygo2基因蛋白质编码序列区SNPs可能是特发性少精子症和无精子症的诱发因素之一, 导致男性不育。     

In silico analysis of Single Nucleotide Polymorphisms (SNPs) in human BRAF gene

BRAF gene mutations are frequently seen in both inherited and somatic diseases. However, the harmful mutations for BRAF gene have not been predicted in silico. Owing to the importance of BRAF gene in cell division, differentiation and secretion processes, the functional analysis was carried out to explore the possible association between genetic mutations and phenotypic variations. Genomic analysis of BRAF was initiated with SIFT followed by PolyPhen and SNPs&GO servers to retrieve the 85 deleterious non-synonymous SNPs (nsSNPs) from dbSNP. A total of 5 mutations i.e. c.406T>G (S136A), c.1446G>T (R462I), c.1556 A>G (K499E), c.1860 T>A (V600E) and c.2352 C>T (P764L) that are found to exert benign effects on the BRAF protein structure and function were chosen for further analysis. Protein structural analysis with these amino acid variants was performed by using I-Mutant, FOLD-X, HOPE, NetSurfP, Swiss PDB viewer, Chimera and NOMAD-Ref servers to check their solvent accessibility, molecular dynamics and energy minimization calculations. Our in silico analysis suggested that S136A and P764L variants of BRAF could directly or indirectly destabilize the amino acid interactions and hydrogen bond networks thus explain the functional deviations of protein to some extent. Screening for BRAF, S136A and P764Lvariants may be useful for disease molecular diagnosis and also to design the molecular inhibitors of BRAF pathways.     

Association of single nucleotide polymorphisms (SNPs) of PADI4 gene with rheumatoid arthritis (RA) in Indian population

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease affecting ~ 1% of the population worldwide. The genome wide association studies on RA patients revealed linkage with 1p36 locus containing peptidyl arginine deiminase 4 (PADI4) genes. Case-control association studies and mRNA stability assays reported the association of PADI4 gene with RA in Korean and Japanese populations. However, such association was not found in Spanish population. Differences in the association of PADI4 with RA in different populations prompted the present study in Indian population. Anti-CCP antibodies, RF antibody, disease activity scores at 28 joints (DAS28) and mutations in three exons of PADI4 were investigated in RA patients and control group. Among the patients anti-CCP antibody levels were found to be associated with high DAS28 values (r = 0.4526, P < 0.0001). Polymorphism in exon-4 (padi4_104, [rs1748033]) of PADI4 showed significant association of 'C' allele with RA in the study population (P = 0.0008). Polymorphism in exon-3 (padi4_92, [rs874881]) also exhibited moderate association with the disease (P = 0.075). However, no association of the disease was found with the SNPs padi4_89 [rs11203366] and padi4_90 [rs11203367] in exon-2 of PADI4.     

Assessment of population structure by single nucleotide polymorphisms (SNPs) in goat breeds

Single nucleotide polymorphisms (SNPs) may be used in biodiversity studies and commercial tasks like traceability, paternity testing and selection for suitable genotypes. Twenty-seven SNPs were characterized and genotyped on 250 individuals belonging to eight Italian goat breeds. Multilocus genotype data were used to infer population structure and assign individuals to populations. To estimate the number of groups (K) to test in population structure analysis we used likelihood values and variance of the bootstrap samples, deriving optimal K from a drop in the likelihood and a rise in the variance plots against K.     

African American-preponderant single nucleotide polymorphisms (SNPs) and risk of breast cancer

Background: African American women more often present with more aggressive types of breast cancer than Caucasian women, but little is known whether genetic polymorphisms specific to or disproportionate in African Americans are associated with their risk of breast cancer. Methods: A population-based case-control study was conducted including 194 cases identified through the Metropolitan Detroit Cancer Surveillance System and 189 controls recruited through random digit dialing to examine polymorphisms in genes involved in estrogen metabolism and action. Results: The African American-specific CYP1A1 5639C allele was associated with an increased risk of breast cancer (odds ratio (OR) = 2.34, 95% confidence interval (CI) 1.23–4.44) and this association with the CYP1A1 5639 locus was dependent on another polymorphism in the CYP3A4 gene (P = 0.043 for the interaction). In addition, African American-predominant CYP1B1 432 Val allele was significantly more often found in the cases than in the controls overall and the HSD17B1 312 Gly allele was specifically associated with premenopausal breast cancer risk (OR = 3.00, 95%CI 1.29–6.99). Conclusion: These observations need to be confirmed in larger studies due to the limited statistical power of the study based on a small number of cases.