汉族人群NOS3 A-922G、NOS3 T-786C 与NOS3 G894T SNP的等位基因及其组合分布与高血压的相关性

为了分析汉族人群一氧化氮合酶基因NOS3 A-922G、NOS3 T-786C 与NOS3 G894T单核苷酸多态性（single nucleotide polymorphism,SNP）的等位基因及其组合分布与高血压病的相关性,选取无亲缘关系的高血压病人192例(男97例,女95例)以及无亲缘关系的健康个体122例（男76例,女46例）为对照组,提取静脉血白细胞基因组DNA,采用等位基因特异性引物PCR技术检测NOS3 A-922G、NOS3 T-786C 与NOS3 G894T 3个位点的基因型。其结果显示：高血压病组与对照组NOS3 G894T、NOS3A-922G及NOS3 T-786C各等位基因型及其基因单倍型频率比较无显著性差异(P>0.05)。男、女性别分层研究：无论男亚组还是女亚组均未发现NOS3 A-922G、NOS3 T-786C 与NOS3 G894T各个位点SNP与高血压病有相关性。等位基因组合分布研究发现NOS3 G894G +A-922G+T-786T组合基因型总体频率分布在高血压病组与正常对照组之间有显著性差异(P<0.05,χ2= 4.5944)。男、女性别分层研究：男亚组上述3个位点SNP的各个组合基因型分布频率在高血压病组与正常对照组之间无显著性差异(P>0.05);女亚组中携带NOS3 G894G+A-922G+T-786C 的组合基因型分布频率在高血压病组与正常对照组之间有显著性差异(P<0.01,χ2=8.502)。研究发现,在中国汉族人群中NOS3A–922 G、NOS3 T-786C 与NOS3 G894T SNP与高血压病无明确的相关性,且无性别差异。组合分布研究发现,NOS3 G894G+A-922G+T-786C 的组合基因型分布频率在高血压病女性亚组较健康女性亚组明显减低,提示携带该组合基因型女性人群可能不易患高血压病。     

Detection of common mutations in the GALT gene through ARMS

Type I galactosemia is an inborn error resulting from mutations on both alleles of the GALT gene, which leads to the absence or deficiency of galactose-1-phosphate uridyltranseferase (GALT), the second of three enzymes catalyzing the conversion of galactose into glucose. On the basis of residual GALT activity, Type I galactosemia is classified into severe “Classical” and mild “Duarte” phenotypes. Classical galactosemia is frequently associated with S135L, Q188R and K285N mutations in the GALT gene. The functionally neutral N314D variation in the GALT gene is associated with Duarte galactosemia and is widespread among various worldwide populations. The present study aimed at detecting S135L, Q188R and K285N mutations and the N314D variant in the GALT gene by PCR using amplification refractory mutation system (ARMS). ARMS assays were established using standard DNA samples and were used for 8 galactosemia patients and 190 unrelated normal subjects all of Pakistani origin. S135L and K285N mutations were present neither in galactosemia patients nor in normal subjects. Only one galactosemia patient carried Q188R mutation that was in homozygous state. However, the N314D variant was frequently found both in affected (7 out of 16 alleles) and normal subjects (55 out of 380 alleles). This finding indicates that Duarte allele D314 might be far more common in Pakistani population than in European and North American ones.     

REDHORSE-REcombination and Double crossover detection in Haploid Organisms using next-geneRation SEquencing data

Background

Next-generation sequencing technology provides a means to study genetic exchange at a higher resolution than was possible using earlier technologies. However, this improvement presents challenges as the alignments of next generation sequence data to a reference genome cannot be directly used as input to existing detection algorithms, which instead typically use multiple sequence alignments as input. We therefore designed a software suite called REDHORSE that uses genomic alignments, extracts genetic markers, and generates multiple sequence alignments that can be used as input to existing recombination detection algorithms. In addition, REDHORSE implements a custom recombination detection algorithm that makes use of sequence information and genomic positions to accurately detect crossovers. REDHORSE is a portable and platform independent suite that provides efficient analysis of genetic crosses based on Next-generation sequencing data.

Results

We demonstrated the utility of REDHORSE using simulated data and real Next-generation sequencing data. The simulated dataset mimicked recombination between two known haploid parental strains and allowed comparison of detected break points against known true break points to assess performance of recombination detection algorithms. A newly generated NGS dataset from a genetic cross of Toxoplasma gondii allowed us to demonstrate our pipeline. REDHORSE successfully extracted the relevant genetic markers and was able to transform the read alignments from NGS to the genome to generate multiple sequence alignments. Recombination detection algorithm in REDHORSE was able to detect conventional crossovers and double crossovers typically associated with gene conversions whilst filtering out artifacts that might have been introduced during sequencing or alignment. REDHORSE outperformed other commonly used recombination detection algorithms in finding conventional crossovers. In addition, REDHORSE was the only algorithm that was able to detect double crossovers.

Conclusion

REDHORSE is an efficient analytical pipeline that serves as a bridge between genomic alignments and existing recombination detection algorithms. Moreover, REDHORSE is equipped with a recombination detection algorithm specifically designed for Next-generation sequencing data. REDHORSE is portable, platform independent Java based utility that provides efficient analysis of genetic crosses based on Next-generation sequencing data. REDHORSE is available at http://redhorse.sourceforge.net/.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1309-7) contains supplementary material, which is available to authorized users.     

HLA-B*2736等位基因的序列分析

使用FLOW-SSO、PCR-SSP以及测序等分型技术, 发现一个与HLA-B*270401基因相关的未知基因。设计基因特异性引物单独扩增B*27基因的外显子2-5, 包括内含子2-4, 并进行双向测序, 分析与B*270401基因序列的差异。该基因的扩增产物为1 815 bp。与B*270401相比在外显子3和4共有10个碱基的改变, 从而使相应氨基酸发生错义或同义突变。碱基634 A→C (密码子130丝氨酸→精氨酸); 670 A→T (密码子142苏氨酸→丝氨酸); 683 G→T (密码子146色氨酸→亮氨酸); 698 A→T (密码子151谷氨酸→缬氨酸); 774 G→C (密码子176谷氨酸→天冬氨酸); 776 C→A (密码子177苏氨酸→赖氨酸); 781 C→G (密码子179谷氨酰胺→谷氨酸); 789 G→T (密码子181丙氨酸同义突变); 1 438 C→T (密码子206甘氨酸同义突变); 1 449 G→C (密码子210甘氨酸→丙氨酸)。在IMGT/HLA数据库中B*27组只有3个基因（B*270502 / 2706 / 2732）提交了内含子序列。该未知基因的内含子2序列与B*2706相同, 显示了与B*27组基因的同源性, 但其同源性在内含子3、4均未得到支持, 与B*27组基因相比, 内含子3的第106个碱基C→G, 碱基168缺失, 碱基179 G→A, 碱基536 G→A; 内含子4中碱基82 T→C。但其内含子3、4序列却与B*070201完全相同。该基因序列已提交GenBank, 编号为被DQ915176, 被WHO确认为HLA-B*2736等位基因。     

Between‐year variation of MHC allele frequencies in great reed warblers: selection or drift?

The major histocompatibility complex (MHC) genes are extremely polymorphic and this variation is assumed to be maintained by balancing selection. Cyclic interactions between pathogens and their hosts could generate such selection, and specific MHC alleles or heterozygosity at certain MHC loci have been shown to confer resistance against particular pathogens. Here we compare the temporal variation in allele frequencies of 23 MHC class I alleles with that of 23 neutral microsatellite markers in adult great reed warblers (a passerine bird) in nine successive cohorts. Overall, the MHC alleles showed a significantly higher variation in allele frequencies between cohorts than the microsatellite alleles, using a multi-variate genetic analysis (amova). The frequency of two specific MHC alleles, A3e (P = 0.046) and B4b (P = 0.0018), varied more between cohorts than expected from random, whereas none of the microsatellite alleles showed fluctuations exceeding the expectation from stochastic variation. These results imply that the variation in MHC allele frequencies between cohorts is not a result of demographic events, but rather an effect of selection favouring different MHC alleles in different years.     

Microsatellite loci from the northern house mosquito (Culex pipiens), a principal vector of West Nile virus in North America

Microsatellites were isolated and characterized in the northern house mosquito, Culex pipiens, a widespread pest species and important vector of diseases such as West Nile virus. An enrichment protocol yielded 150 positive clones. We designed primers to amplify 17 unique (GT)_n microsatellites, eight of which amplified cleanly and were polymorphic. A survey of 29 individuals showed that these loci are highly variable with the number of alleles ranging from seven to 19 and expected heterozygosity ranging from 0.66 to 0.93. These markers will be useful for studies of population structure and intraspecific variation in epidemiological characteristics of Cx. pipiens.     

Non-Mendelian transmission of alleles at microsatellite loci: an example in Ixodes ricinus, the vector of Lyme disease

Microsatellite loci are usually considered to be neutral co-dominant and Mendelian markers. We undertook to study the inheritance of five microsatellite loci in the European Lyme disease vector, the tick Ixodes ricinus. Only two loci appeared fully Mendelian while the three others displayed non-Mendelian patterns that highly frequent null alleles could not fully explain. At one locus, IR27, some phenomenon seems to hinder the PCR amplification of one allele, depending on its origin (maternal imprinting) and/or its size (short allele dominance). DNA methylation, which appeared to be a possible explanation of this amplification bias, was rejected by a specific test comparing the amplification efficiency that did not differ between unmethylated and experimentally methylated DNA. The role of allele size in heterozygous individuals was then revealed from the data available on field collected ticks and consistent with the results of a theoretical approach. These observations highlight the need for prudence while inferring reproductive systems (selfing rates), parentage or even allelic frequencies from microsatellite markers, in particular for parasitic organisms for which molecular approaches often represent the only way for population biology inferences.     

The aggregate site frequency spectrum for comparative population genomic inference

Understanding how assemblages of species responded to past climate change is a central goal of comparative phylogeography and comparative population genomics, an endeavour that has increasing potential to integrate with community ecology. New sequencing technology now provides the potential to perform complex demographic inference at unprecedented resolution across assemblages of nonmodel species. To this end, we introduce the aggregate site frequency spectrum (aSFS), an expansion of the site frequency spectrum to use single nucleotide polymorphism (SNP) data sets collected from multiple, co‐distributed species for assemblage‐level demographic inference. We describe how the aSFS is constructed over an arbitrary number of independent population samples and then demonstrate how the aSFS can differentiate various multispecies demographic histories under a wide range of sampling configurations while allowing effective population sizes and expansion magnitudes to vary independently. We subsequently couple the aSFS with a hierarchical approximate Bayesian computation (hABC) framework to estimate degree of temporal synchronicity in expansion times across taxa, including an empirical demonstration with a data set consisting of five populations of the threespine stickleback (Gasterosteus aculeatus). Corroborating what is generally understood about the recent postglacial origins of these populations, the joint aSFS/hABC analysis strongly suggests that the stickleback data are most consistent with synchronous expansion after the Last Glacial Maximum (posterior probability = 0.99). The aSFS will have general application for multilevel statistical frameworks to test models involving assemblages and/or communities, and as large‐scale SNP data from nonmodel species become routine, the aSFS expands the potential for powerful next‐generation comparative population genomic inference.     

Use of allele-specific sequencing primers is an efficient alternative to PCR subcloning of low-copy nuclear genes

Direct Sanger sequencing of polymerase chain reaction (PCR)-amplified nuclear genes leads to polymorphic sequences when allelic variation is present. To overcome this problem, most researchers subclone the PCR products to separate alleles. An alternative is to directly sequence the separate alleles using allele-specific primers. We tested two methods to enhance the specificity of allele-specific primers for use in direct sequencing: using short primers and amplification refractory mutation system (ARMS) technique. By shortening the allele-specific primer to 15-13 nucleotides, the single mismatch in the ultimate base of the primer is enough to hinder the amplification of the nontarget allele in direct sequencing and recover only the targeted allele at high accuracy. The deliberate addition of a second mismatch, as implemented in the ARMS technique, was less successful and seems better suited for allele-specific amplification in regular PCR rather than in direct sequencing.     

Genetic factors in individual radiation sensitivity

Cancer risk and radiation sensitivity are often associated with alterations in DNA repair, cell cycle, or apoptotic pathways. Interindividual variability in mutagen or radiation sensitivity and in cancer susceptibility may also be traced back to polymorphisms of genes affecting e.g. DNA repair capacity. We studied possible associations between 70 polymorphisms of 12 DNA repair genes with basal and initial DNA damage and with repair thereof. We investigated DNA damage induced by ionizing radiation in lymphocytes isolated from 177 young lung cancer patients and 169 cancer-free controls. We also sought replication of our findings in an independent sample of 175 families (in total 798 individuals). DNA damage was assessed by the Olive tail moment (OTM) of the comet assay. DNA repair capacity (DRC) was determined for 10, 30 and, 60 min of repair.Genes involved in the single-strand-repair pathway (SSR; like XRCC1 and MSH2) as well as genes involved in the double-strand-repair pathway (DSR; like RAD50, XRCC4, MRE11 and ATM) were found to be associated with DNA damage. The most significant association was observed for marker rs3213334 (p = 0.005) of XRCC1 with basal DNA damage (B), in both cases and controls. A clear additive effect on the logarithm of OTM was identified for the marker rs1001581 of the same LD-block (p = 0.039): B_CC = −1.06 (95%-CI: −1.16 to −0.96), B_CT = −1.02 (95%-CI: −1.11 to −0.93) and B_TT = −0.85 (95%-CI: −1.01 to −0.68). In both cases and controls, we observed significantly higher DNA basal damage (p = 0.007) for carriers of the genotype AA of marker rs2237060 of RAD50 (involved in DSR). However, this could not be replicated in the sample of families (p = 0.781). An alteration to DRC after 30 min of repair with respect to cases was observed as borderline significant for marker rs611646 of ATM (involved in DSR; p = 0.055), but was the most significant finding in the sample of families (p = 0.009).Our data indicate that gene variation impacts measurably on DNA damage and repair, suggesting at least a partial contribution to radiation sensitivity and lung cancer susceptibility.