Genome-Wide Association Studies Using Single Nucleotide Polymorphism Markers Developed by Re-Sequencing of the Genomes of Cultivated Tomato

With the aim of understanding relationship between genetic and phenotypic variations in cultivated tomato, single nucleotide polymorphism (SNP) markers covering the whole genome of cultivated tomato were developed and genome-wide association studies (GWAS) were performed. The whole genomes of six tomato lines were sequenced with the ABI-5500xl SOLiD sequencer. Sequence reads covering ∼13.7× of the genome for each line were obtained, and mapped onto tomato reference genomes (SL2.40) to detect ∼1.5 million SNP candidates. Of the identified SNPs, 1.5% were considered to confer gene functions. In the subsequent Illumina GoldenGate assay for 1536 SNPs, 1293 SNPs were successfully genotyped, and 1248 showed polymorphisms among 663 tomato accessions. The whole-genome linkage disequilibrium (LD) analysis detected highly biased LD decays between euchromatic (58 kb) and heterochromatic regions (13.8 Mb). Subsequent GWAS identified SNPs that were significantly associated with agronomical traits, with SNP loci located near genes that were previously reported as candidates for these traits. This study demonstrates that attractive loci can be identified by performing GWAS with a large number of SNPs obtained from re-sequencing analysis.     

Identifying Litchi (Litchi chinensis Sonn.) Cultivars and Their Genetic Relationships Using Single Nucleotide Polymorphism (SNP) Markers

Litchi is an important fruit tree in tropical and subtropical areas of the world. However, there is widespread confusion regarding litchi cultivar nomenclature and detailed information of genetic relationships among litchi germplasm is unclear. In the present study, the potential of single nucleotide polymorphism (SNP) for the identification of 96 representative litchi accessions and their genetic relationships in China was evaluated using 155 SNPs that were evenly spaced across litchi genome. Ninety SNPs with minor allele frequencies above 0.05 and a good genotyping success rate were used for further analysis. A relatively high level of genetic variation was observed among litchi accessions, as quantified by the expected heterozygosity (He = 0.305). The SNP based multilocus matching identified two synonymous groups, ‘Heiye’ and ‘Wuye’, and ‘Chengtuo’ and ‘Baitangli 1’. A subset of 14 SNPs was sufficient to distinguish all the non-redundant litchi genotypes, and these SNPs were proven to be highly stable by repeated analyses of a selected group of cultivars. Unweighted pair-group method of arithmetic averages (UPGMA) cluster analysis divided the litchi accessions analyzed into four main groups, which corresponded to the traits of extremely early-maturing, early-maturing, middle-maturing, and late-maturing, indicating that the fruit maturation period should be considered as the primary criterion for litchi taxonomy. Two subpopulations were detected among litchi accessions by STRUCTURE analysis, and accessions with extremely early- and late-maturing traits showed membership coefficients above 0.99 for Cluster 1 and Cluster 2, respectively. Accessions with early- and middle-maturing traits were identified as admixture forms with varying levels of membership shared between the two clusters, indicating their hybrid origin during litchi domestication. The results of this study will benefit litchi germplasm conservation programs and facilitate maximum genetic gains in litchi breeding programs.     

单核苷酸多态性技术在鸡遗传变异中的研究及应用

单核苷酸多态性(SNP)是继限制性片段长度多态性、微卫星标记之后的第三代分子标记,通常呈双等位基因多态。本文从SNP的特点、SNP的发现与检测、SNP数据库、SNP的频率及其与表型的关系等方面简述了SNP在鸡遗传变异中的研究及应用进展。     

Novel Single Nucleotide Polymorphism Markers for Low Dose Aspirin-Associated Small Bowel Bleeding

Background

Aspirin-induced enteropathy is now increasingly being recognized although the pathogenesis of small intestinal damage induced by aspirin is not well understood and related risk factors have not been established.

Aim

To investigate pharmacogenomic profile of low dose aspirin (LDA)-induced small bowel bleeding.

Methods

Genome-wide analysis of single nucleotide polymorphisms (SNPs) was performed using the Affymetrix DMET™ Plus Premier Pack. Genotypes of candidate genes associated with small bowel bleeding were determined using TaqMan SNP Genotyping Assay kits and direct sequencing.

Results

In the validation study in overall 37 patients with small bowel bleeding and 400 controls, 4 of 27 identified SNPs: CYP4F11 (rs1060463) GG (p=0.003), CYP2D6 (rs28360521) GG (p=0.02), CYP24A1 (rs4809957) T allele (p=0.04), and GSTP1 (rs1695) G allele (p=0.04) were significantly more frequent in the small bowel bleeding group compared to the controls. After adjustment for significant factors, CYP2D6 (rs28360521) GG (OR 4.11, 95% CI. 1.62 -10.4) was associated with small bowel bleeding.

Conclusions

CYP4F11 and CYP2D6 SNPs may identify patients at increased risk for aspirin-induced small bowel bleeding.     

Developing Single Nucleotide Polymorphism (SNP) Markers for the Identification of Coffee Germplasm

Coffee is one of the most widely consumed beverages and represents a multibillion-dollar global industry. Accurate identification of coffee cultivars is essential for efficient management, exchange, and use of coffee genetic resources. To date, a universal platform that can allow data comparison across different laboratories and genotyping platforms has not been developed by the coffee research community. Using expressed sequence tags (EST) of Coffea arabica, C. canephora and C. racemosa from public databases, we developed 7538 single nucleotide polymorphism (SNP) markers and selected 180 for validation using 25 C. arabica and C. canephora accessions from Puerto Rico. Based on the validation result, we designated a panel of 55 SNP markers that are polymorphic across the two species. The average minor allele frequency and information index of this SNP panel are 0.281 and 0.690, respectively. This panel enabled the differentiation of all tested accessions of C. canephora, which accounts for 79.2 % of the total polymorphism in the samples. Only 21.8 % of the polymorphic SNPs were detected in the 12 C. arabica cultivars, which, nonetheless, were able to unambiguously differentiate the 12 Arabica cultivars into ten unique genotypes, including two synonymous groups. Several local Puerto Rican cultivars with partial Timor pedigree, including Limaní, Frontón, and TARS 18087, showed substantial genetic difference from the other common Arabica cultivars, such as Catuai, Borbón, and Mundo Nuevo. This coffee SNP panel provides robust and universally comparable DNA fingerprints, thus can serve as a genotyping tool to assist coffee germplasm management, propagation of planting material, and coffee cultivar authentication.     

Development and Application of Genomic Control Methods for Genome-Wide Association Studies Using Non-Additive Models

Genome-wide association studies (GWAS) comprise a powerful tool for mapping genes of complex traits. However, an inflation of the test statistic can occur because of population substructure or cryptic relatedness, which could cause spurious associations. If information on a large number of genetic markers is available, adjusting the analysis results by using the method of genomic control (GC) is possible. GC was originally proposed to correct the Cochran-Armitage additive trend test. For non-additive models, correction has been shown to depend on allele frequencies. Therefore, usage of GC is limited to situations where allele frequencies of null markers and candidate markers are matched. In this work, we extended the capabilities of the GC method for non-additive models, which allows us to use null markers with arbitrary allele frequencies for GC. Analytical expressions for the inflation of a test statistic describing its dependency on allele frequency and several population parameters were obtained for recessive, dominant, and over-dominant models of inheritance. We proposed a method to estimate these required population parameters. Furthermore, we suggested a GC method based on approximation of the correction coefficient by a polynomial of allele frequency and described procedures to correct the genotypic (two degrees of freedom) test for cases when the model of inheritance is unknown. Statistical properties of the described methods were investigated using simulated and real data. We demonstrated that all considered methods were effective in controlling type 1 error in the presence of genetic substructure. The proposed GC methods can be applied to statistical tests for GWAS with various models of inheritance. All methods developed and tested in this work were implemented using R language as a part of the GenABEL package.     

食蟹猴微卫星DNA标记遗传监测及多态性分析

目的研究国内食蟹猴种群的遗传背景特性,建立食蟹猴种群遗传质量监测方法。方法采用微卫星DNA遗传标记技术对50只食蟹猴种群个体进行遗传质量监测及DNA多态性分析。结果从100个微卫星DNA位点中筛选出20个多态性高的位点,其食蟹猴种群个体的等位基因数目为5-10条,个体间均呈现高度的多态性;其观察等位基因数（Na）为5.0～10.0,有效等位基因数（Ne）为4.6118～8.3404,基因多样性（H）为0.7832～0.8801和香隆信息指数（I）为1.5651～2.1592。结论本实验有效地分析了食蟹猴种群的遗传多态性,为今后筛选特异性微卫星位点来建立食蟹猴种群遗传质量监测方法提供了理论依据。     

大规模单核苷酸多态性分析与肿瘤易感性

单核苷酸多态性(SNPs)是人类基因组中最常见的变异形式。作为第三代遗传标记,SNP在基因定位、克隆、遗传多态性方面具有广泛应用,特别是作为基因诊断标记在预防医学中具有十分重要的作用。近年来,随着人类基因组计划的发展,数以百万计的SNP被陆续发现,并可在公共数据库中免费获得。SNP数量的快速增加和SNP检测方法的发展,为其在肿瘤易感性领城的应用提供了可能。在本综述中,我们介绍了几种高通量检测SNP的分析方法,总结了大规模SNP分析技术在肿瘤易感性中的应用,介绍了目前人们对于不同人群中的SNP分析、肿瘤易感基因、个体肿瘤易感性的理解,以及研究SNP标记与肿瘤易感性关系时存在的难点。     

应用微卫星标记对不同基因组组合生物型遗传多态性的研究(英文)

微卫星ＤＮＡ在真核基因组中分布频率为每２０～３０ｋｂ一个,具有片段长度短、序列 高度重复、种类多以及高度多态的特点,极适于遗传变异研究。本文报道：采用微卫星 标记对不同基因组组合的鱼类进行了基因组指纹图谱构建。受试材料为红鲤（ＲＣ）、红鲫 （ＲＡ）、镜鲤（ＭＣ）、鲤鲫杂种二倍体（ＣＡ）鲫鲤杂种三倍体（ＣＡＡ）,人工复合三倍体（ＣＣＡ） 等六种生物型。微卫星ＤＮＡ座位（探针）ＭＦＷ２、ＭＦＷ８和ＭＦＷ１６各自存在１２、１６和 １０个等位基因（Ｆｉｇ．１,２,＆３）。通过对微卫星标记图谱的量化分析,利用ＵＰＧＭＡ构建了 不同生物型的遗传关系树系图（Ｔａｂｌｅ　１,Ｆｉｇ．４）。本研究发现,徽卫星和ＲＡＰＤ分析两种 手段反映六种生物型之间的聚类模式完全一致。然而由微卫星标记获得的生物型内和生 物型之间的遗传距离均大于ＲＡＰＤ的,此结果表明微卫星标记在揭示群体内个体间差 异上有独到之处。     

单核苷酸多态性及其在水稻中的应用(综述)

单核苷酸多态性(single nucleotide polymorphism,SNP)主要是指基因组的DNA由于单个核苷酸的变异所引起的DNA序列多态性。本文介绍SNP的检测方法及其在水稻中的研究进展和应用。     

High Concordance of Bovine Single Nucleotide Polymorphism Genotypes Generated Using Two Independent Genotyping Strategies

Single nucleotide polymorphisms (SNPs) represent the most common form of DNA sequence variation in mammalian livestock genomes. While the past decade has witnessed major advances in SNP genotyping technologies, genotyping errors caused, in part, by the biochemistry underlying the genotyping platform used, can occur. These errors can distort project results and conclusions and can result in incorrect decisions in animal management and breeding programs; hence, SNP genotype calls must be accurate and reliable. In this study, 263 Bos spp. samples were genotyped commercially for a total of 16 SNPs. Of the total possible 4,208 SNP genotypes, 4,179 SNP genotypes were generated, yielding a genotype call rate of 99.31% (standard deviation ± 0.93%). Between 110 and 263 samples were subsequently re-genotyped by us for all 16 markers using a custom-designed SNP genotyping platform, and of the possible 3,819 genotypes a total of 3,768 genotypes were generated (98.70% genotype call rate, SD ± 1.89%). A total of 3,744 duplicate genotypes were generated for both genotyping platforms, and comparison of the genotype calls for both methods revealed 3,741 concordant SNP genotype call rates (99.92% SNP genotype concordance rate). These data indicate that both genotyping methods used can provide livestock geneticists with reliable, reproducible SNP genotypic data for in-depth statistical analysis.     

Single Nucleotide Polymorphism (SNP)-Strings: An Alternative Method for Assessing Genetic Associations

Background

Genome-wide association studies (GWAS) identify disease-associations for single-nucleotide-polymorphisms (SNPs) from scattered genomic-locations. However, SNPs frequently reside on several different SNP-haplotypes, only some of which may be disease-associated. This circumstance lowers the observed odds-ratio for disease-association.

Methodology/Principal Findings

Here we develop a method to identify the two SNP-haplotypes, which combine to produce each person’s SNP-genotype over specified chromosomal segments. Two multiple sclerosis (MS)-associated genetic regions were modeled; DRB1 (a Class II molecule of the major histocompatibility complex) and MMEL1 (an endopeptidase that degrades both neuropeptides and β-amyloid). For each locus, we considered sets of eleven adjacent SNPs, surrounding the putative disease-associated gene and spanning ∼200 kb of DNA. The SNP-information was converted into an ordered-set of eleven-numbers (subject-vectors) based on whether a person had zero, one, or two copies of particular SNP-variant at each sequential SNP-location. SNP-strings were defined as those ordered-combinations of eleven-numbers (0 or 1), representing a haplotype, two of which combined to form the observed subject-vector. Subject-vectors were resolved using probabilistic methods. In both regions, only a small number of SNP-strings were present. We compared our method to the SHAPEIT-2 phasing-algorithm. When the SNP-information spanning 200 kb was used, SHAPEIT-2 was inaccurate. When the SHAPEIT-2 window was increased to 2,000 kb, the concordance between the two methods, in both of these eleven-SNP regions, was over 99%, suggesting that, in these regions, both methods were quite accurate. Nevertheless, correspondence was not uniformly high over the entire DNA-span but, rather, was characterized by alternating peaks and valleys of concordance. Moreover, in the valleys of poor-correspondence, SHAPEIT-2 was also inconsistent with itself, suggesting that the SNP-string method is more accurate across the entire region.

Conclusions/Significance

Accurate haplotype identification will enhance the detection of genetic-associations. The SNP-string method provides a simple means to accomplish this and can be extended to cover larger genomic regions, thereby improving a GWAS’s power, even for those published previously.     

Using Molecular Markers to Estimate Quantitative Trait Locus Parameters: Power and Genetic Variances for Unreplicated and Replicated Progeny

Many of the progeny types used to estimate quantitative trait locus (QTL) parameters can be replicated, e.g., recombinant inbred, doubled haploid, and F3 lines. These parameters are estimated using molecular markers or QTL genotypes estimated from molecular markers as independent variables. Experiment designs for replicated progeny are functions of the number of replications per line (r) and the number of replications per QTL genotype (n). The value of n is determined by the size of the progeny population (N), the progeny type, and the number of simultaneously estimated QTL parameters (q - 1). Power for testing hypotheses about means of QTL genotypes is increased by increasing r and n, but the effects of these factors have not been quantified. In this paper, we describe how power is affected by r, n, and other factors. The genetic variance between lines nested in QTL genotypes (sigma 2n:q) is the fraction of the genetic variance between lines (sigma 2n) which is not explained by simultaneously estimated intralocus and interlocus QTL parameters (phi 2Q); thus, sigma 2n:q = sigma 2n - phi 2Q. If sigma 2n:q not equal to 0, then power is not efficiently increased by increasing r and is maximized by maximizing n and using r = 1; however, if sigma 2n:q = 0, then r and n affect power equally and power is efficiently increased by increasing r and is maximized by maximizing N.r. Increasing n efficiently increases power for a wide range of values of sigma 2n:q.sigma 2n:q = 0 when the genetic variance between lines is fully explained by QTL parameters (sigma 2n = phi 2Q).(ABSTRACT TRUNCATED AT 250 WORDS)     

单核苷酸多态性在作物遗传及改良中的应用

单核苷酸多态性（single nucleotide polymorphism,SNP）是等位基因间序列差异最为普遍的类型,可作为一种高通量的遗传标记。已建立了PCR扩增目标序列及其产物测序和电子SNP（eSNP）等多种发现和检测SNP的方法。玉米和大豆等作物也已开展了SNP分析。一些栽培作物种质的多样性不断减少,其结果使连锁不平衡（linkage disequilibrium,LD）增加,这有利于目的基因座上SNP单元型（haplotype）与表型的相关性分析。SNP已在作物基因作图及其整合、分子标记辅助育种和功能基因组学等领域展示了广泛的应用价值。 Abstract:Single nucleotide polymorphism(SNP) is the most common type of sequence difference between alleles,which can be used as a kind of high-throughput genetic marker.Several different routes have been developed to discover and identify SNP.These include the direct sequencing of PCR amplicons,electronic SNP(eSNP) and so on.SNP assays have been made in many crop species such as maize and soybean.The elite germplasm of some crops have been narrowed in genetic diversity,increasing the amount of linkage disequilibrium(LD) present and facilitating the association of SNP haplotypes at candidate gene loci with phenotypes.SNP analysis has been broadly used in the field of plant gene mapping,integration of genetic and physical maps,DNA marker-assisted breeding and functional genomics.     

单核苷酸多态性及其在鸡QTL定位上的应用

单核苷酸多态性是指DNA序列上的单个碱基变异,它具有分布广、多态信息含量大、易于检测和统计分析等优点,能较好用于基因图谱构建和数量性状QTL定位研究,被称为继RFLP和微卫星标记之后的第3代基因遗传标记。本文综述了单核苷酸多态性的性质及检测技术、利用候选基因SNP进行鸡QTL定位研究的现状,并对未来SNP的应用前景进行了展望。Abstract:Single nucleotide polymorphism (SNP) refers to the change of single nucleotide in DNA sequence.Because of its high density in genomes and easy in detection and analysis statistically,SNP can be used in genetic linkage map construction and QTL mapping.Here,the characters and detecting technology of SNP,as well as the status and foreground of the use of candidate gene SNP in chicken QTL mapping are introduced.     

Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

The availability of genomewide dense markers brings opportunities and challenges to breeding programs. An important question concerns the ways in which dense markers and pedigrees, together with phenotypic records, should be used to arrive at predictions of genetic values for complex traits. If a large number of markers are included in a regression model, marker-specific shrinkage of regression coefficients may be needed. For this reason, the Bayesian least absolute shrinkage and selection operator (LASSO) (BL) appears to be an interesting approach for fitting marker effects in a regression model. This article adapts the BL to arrive at a regression model where markers, pedigrees, and covariates other than markers are considered jointly. Connections between BL and other marker-based regression models are discussed, and the sensitivity of BL with respect to the choice of prior distributions assigned to key parameters is evaluated using simulation. The proposed model was fitted to two data sets from wheat and mouse populations, and evaluated using cross-validation methods. Results indicate that inclusion of markers in the regression further improved the predictive ability of models. An R program that implements the proposed model is freely available.     

水稻单核苷酸多态性及其应用现状

单核苷酸多态性（single nucleotide polymorphisms, SNPs）在水稻中数量多,分布密度高,遗传稳定性高。水稻SNPs的发现方法主要有对样本DNA的PCR产物直接测序、从SSR区段检测SNPs和从基因组序列直接搜索等。目前已有多种基因分型技术运用到了水稻SNPs检测,SNPs检测的高度自动化使水稻SNPs基因分型非常方便。单核苷酸多态性在水稻遗传图谱的构建、基因克隆和功能基因组学研究、标记辅助选择育种、遗传资源分类及物种进化等方面的应用具有巨大潜力。     

Genetic Polymorphism and Bottleneck Analysis of Balkhi,Hashtnagri, and Michni Sheep Populations Using Microsatellite Markers

Pakistan is rich in sheep genetic resources. Balkhi, Hashtnagri, and Michni are neighboring sheep populations found in Khyber Pakhtunkhwa province of Pakistan. In this study, we analyzed the genetic structures and bottleneck incidents within these sheep populations using 31 microsatellite DNA markers. Total numbers of 116, 100, and 95 alleles, with average numbers of 3.20, 3.26, and 3.74 alleles per locus were observed, respectively, in Balkhi, Hashtnagri, and Michni population. Mean observed heterozygosity was 0.402 in Balkhi, 0.416 in Hashtnagri, and 0.522 in Michni population. All the three sheep populations showed significantly high inbreeding. Michni population was found to be in mutation drift equilibrium, showing the absence of genetic bottleneck. The data of Balkhi and Hashtnagri indicated the presence of genetic bottleneck in these populations. These results suggest a moderate level of genetic diversity within Michni population that may be useful for breed improvement programs. Hashtnagri and Balkhi populations having low within breed genetic variability may contain some valuable characteristics that need to be conserved.