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A high-resolution multistrain haplotype analysis of laboratory mouse genome reveals three distinctive genetic variation patterns.

Understanding of the structure and the origin of genetic variation patterns in the laboratory inbred mouse provides insight into the utility of the mouse model for studying human complex diseases and strategies for disease gene mapping. In order to address this issue, we have constructed a multistrain, high-resolution haplotype map for the 99-Mb mouse Chromosome 16 using approximately 70,000 single nucleotide polymorphism (SNP) markers derived from whole-genome shotgun sequencing of five laboratory inbred strains. We discovered that large polymorphic blocks (i.e., regions where only two haplotypes, thus one SNP conformation, are found in the five strains), large monomorphic blocks (i.e., regions where the five strains share the same haplotype), and fragmented blocks (i.e., regions of greater complexity not resembling at all the first two categories) span 50%, 18%, and 32% of the chromosome, respectively. The haplotype map has 98% accuracy in predicting mouse genotypes in two other studies. Its predictions are also confirmed by experimental results obtained from resequencing of 40-kb genomic sequences at 21 distinct genomic loci in 13 laboratory inbred strains and 12 wild-derived strains. We demonstrate that historic recombination, intra-subspecies variations and inter-subspecies variations have all contributed to the formation of the three distinctive genetic signatures. The results suggest that the controlled complexity of the laboratory inbred strains may provide a means for uncovering the biological factors that have shaped genetic variation patterns.

Alleles↗

HLA-G is associated with pemphigus vulgaris in Jewish patients.

Pemphigus is a group of life-threatening autoimmune blistering diseases of the skin and mucous membranes. The etiology and pathogenesis of this destructive autoimmune process remains unknown, but significant association with human leukocyte antigen (HLA) factors have been described in pemphigus vulgaris (PV) patient cohorts worldwide. We have recently analyzed DNA samples obtained from pemphigus patients and matched controls with a set of microsatellite markers, and found that markers mapped to HLA class I region are significantly associated with the disease. In order to narrow the region that is associated with the disease single nucleotide polymorphism (SNP) technology was used. In this study, a set of 26 SNP markers, which span a chromosomal region of about 600,000 bp, were used to screen DNA samples of the patients and their matched controls. Of the 26 SNPs, four markers were found informative, all mapped to HLA-G. Typing patients and controls for HLA-G polymorphism revealed significant differences in the exon 8 deletion/insertion variant. The latter is probably associated with the efficiency of transcription of this gene. Taken together, the results suggest that HLA-G is associated with PV in Jewish patients.

Alleles↗

Linkage disequilibrium and heritability of copy-number polymorphisms within duplicated regions of the human genome.

Studies of copy-number variation and linkage disequilibrium (LD) have typically excluded complex regions of the genome that are rich in duplications and prone to rearrangement. In an attempt to assess the heritability and LD of copy-number polymorphisms (CNPs) in duplication-rich regions of the genome, we profiled copy-number variation in 130 putative "rearrangement hotspot regions" among 269 individuals of European, Yoruba, Chinese, and Japanese ancestry analyzed by the International HapMap Consortium. Eighty-four hotspot regions, corresponding to 257 bacterial artificial chromosome (BAC) probes, showed evidence of copy-number differences. Despite a predisposing genetic architecture, no polymorphism was ever observed in the remaining 46 "rearrangement hotspots," and we suggest these represent excellent candidate sites for pathogenic rearrangements. We used a combination of BAC-based and high-density customized oligonucleotide arrays to resolve the molecular basis of structural rearrangements. For common variants (frequency >10%), we observed a distinct bias against copy-number losses, suggesting that deletions are subject to purifying selection. Heritability estimates did not differ significantly from 1.0 among the majority (30 of 34) of loci analyzed, consistent with normal Mendelian inheritance. Some of the CNPs in duplication-rich regions showed strong LD with nearby single-nucleotide polymorphisms (SNPs) and were observed to segregate on ancestral SNP haplotypes. However, LD with the best available SNP markers was weaker than has been reported for deletion polymorphisms in less complex regions of the genome. These observations may be accounted for by a low density of SNP data in duplicated regions, challenges in mapping and typing the CNPs, and the possibility that CNPs in these regions have rearranged on multiple haplotype backgrounds. Our results underscore the need for complete maps of genetic variation in duplication-rich regions of the genome.

Gene Dosage↗

Genetic control of conventional labeling through the bovine meat production chain by single nucleotide polymorphisms using real-time PCR.

Since January 2002, the European Union has adopted precise guidelines aimed at protecting the safety of meat and controlling the production chain. To this purpose, the conventional traceability of livestock and meat represents the main tool, but verification of traceability requires genetic support. At present, single nucleotide polymorphisms (SNPs) represent the most innovative molecular markers in genotyping studies. The aim of this study was to verify correct labeling in a bovine meat production chain by a real-time PCR protocol based on SNP analysis. Reference hair samples from 5,000 animals were randomly collected from 22 farms. Twelve hundred meat samples were collected at different steps of the bovine meat production chain. In particular, 1,000 meat samples were collected at the slaughterhouse and 200 samples from the same animals directly at the butcher's shop. The protocol was optimized and validated by testing a set of 16 SNP markers on 95 DNA samples from bovine sires of different breeds. Thereafter, the genotyping of 2,200 samples was conducted with a set of 12 selected SNPs to verify traceability of the meat production chain at three different stages: farm, slaughterhouse, and butcher's shop. Irregularities in conventional traceability were evidenced directly in 1.87% of the samples at the slaughterhouse. This percentage increased to 3.25% when sampling was conducted at the butcher's shop. This study demonstrates that despite the precautions adopted over the meat production chain, some critical points still exist that cause the loss of a correct association between registration numbers and samples.

Animal Identification Systems↗

BARCSoySNP23: a panel of 23 selected SNPs for soybean cultivar identification.

This report describes a set of 23 informative SNPs (BARCSoySNP23) distributed on 19 of the 20 soybean linkage groups that can be used for soybean cultivar identification. Selection of the SNPs to include in this set was made based upon the information provided by each SNP for distinguishing a diverse set of soybean genotypes as well as the linkage map position of each SNP. The genotypes included the ancestors of North American cultivars, modern North American cultivars and a group of Korean cultivars. The procedure used to identify this subset of highly informative SNP markers resulted in a significant increase in the power of identification versus any other randomly selected set of equal number. This conclusion was supported by a simulation which indicated that the 23-SNP panel can uniquely distinguish 2,200 soybean cultivars, whereas sets of randomly selected 23-SNP panels allowed the unique identification of only about 50 cultivars. The 23-SNP panel can efficiently distinguish each of the genotypes within four maturity group sets of additional cultivars/lines that have identical classical pigmentation and morphological traits. Comparatively, the 13 trinucleotide SSR set published earlier (BARCSoySSR13) has more power on a per locus basis because of the multi-allelic nature of SSRs. However, the assay of bi-allelic SNP loci can be multi-plexed using non-gel based techniques allowing for rapid determination of the SNP alleles present in soybean genotypes, thereby compensating for their relatively low information content. Both BARCSoySNP23 and BARCSoySSR13 were highly congruent relative to identifying genotypes and for estimating population genetic differences.

Alleles↗

Association between chromogranin A gene polymorphism and schizophrenia in the Japanese population.

It has been reported that expression of the chromogranin A (CHGA) gene is reduced in the prefrontal cortex and cerebrospinal fluid of patients with schizophrenia. Single-marker and haplotype analyses of SNPs within the CHGA gene were performed in 633 subjects with schizophrenia and 589 healthy controls. A significant association with schizophrenia was observed to one SNP marker, rs9658635 (p=0.0269), and with a 2 marker haplotype (p=0.0016). Significant association of rs9658635 was then replicated in a second independent cohort (377 schizophrenia and 338 control samples) (p=0.007). These results suggest that the CHGA gene is associated with the risk of developing schizophrenia in the Japanese population.

Adult↗

TNF-alpha promoter single nucleotide polymorphisms are markers of human ancestry.

We present a map of single nucleotide polymorphisms (SNPs) in the human tumor necrosis factor (TNF)-alpha promoter based upon exploratory sequencing of 333 human TNF-alpha gene promoters from individuals of distinct ancestral backgrounds. We detect 10 TNF-alpha promoter SNPs that occur with distinct frequencies in populations of different ancestry. Consistent with these findings, we show that two TNF-alpha SNPs, the -243 SNP and the -856 SNP, are the first SNP markers of a sub-Saharan African-derived extended haplotype and an Amerindian HLA haplotype, respectively. Comparisons of TNF-alpha promoter SNP allele frequencies can thus help elucidate variation of HLA haplotypes and their distribution among existing ethnic groups and shed light into the history of human populations.

Evolution, Molecular↗

[Screening susceptibility genes of type 2 diabetes in Chinese population by single nucleotide polymorphism analysis].

OBJECTIVE: To search for the susceptibility variant (s) of type 2 diabetes in the susceptible regions on chr.1 (1p36.23-36.33, 1q24.3-25.1, and 1q42.12-42.13) by genotyping SNP markers in case-control DNA samples and identifying the haplotype associated with type 2 diabetes. METHODS: Totally 124 SNPs in 33 candidate genes in the mapped regions were chosen from public SNP data or identified by sequencing the samples that were used to search for SNP locus. Sequencing method was used to genotype the loci for 236 sporadic type 2 diabetes patients and 152 normal subjects in Northern Han Chinese population. The haplotypes with significant difference were further analyzed. RESULTS: Of 124 SNPs successfully typed, 4 SNPs that showed association with diabetes status were found: rs203849 (P=0.005, OR=1.60) and rs203826 (P=0.016, OR=1.60) located in sAC gene, rs7535528 (P=0.028, OR=1.45) located in PANK4, rs884363 (P=0.043, OR=1.37) located in CASP9 gene. In addition, the frequencies of two combination types from these 4 SNP genotypes were significantly different between case and control groups (P < 0.001). Furthermore, four haplotypes associated with diabetes were found in haplotype analysis of sAC gene. CONCLUSION: sAC, PANK4, and CA SP9 may be associated with type 2 diabetes in Han population in north China, and it seems that the synergetic effect of these genes is responsible for the development of type 2 diabetes.

Adult↗

Magnitude and distribution of linkage disequilibrium in population isolates and implications for genome-wide association studies.

The genome-wide distribution of linkage disequilibrium (LD) determines the strategy for selecting markers for association studies, but it varies between populations. We assayed LD in large samples (200 individuals) from each of 11 well-described population isolates and an outbred European-derived sample, using SNP markers spaced across chromosome 22. Most isolates show substantially higher levels of LD than the outbred sample and many fewer regions of very low LD (termed 'holes'). Young isolates known to have had relatively few founders show particularly extensive LD with very few holes; these populations offer substantial advantages for genome-wide association mapping.

Chromosomes, Human, Pair 22↗

[Single nucleotide polymorphism (SNP) and its application in rice].

Single nucleotide polymorphisms (SNPs) distribute numerously and high-density throughout rice (Oryza sativa L.) genome. A total of 80,127 SNP sites were identified in rice genome, and one SNP every 154 bp was found between two rice subspecies indica and japonica. The SNP rate is 0.65%. SNPs also are very considerable among within-subspecies cultivars, even it can be found between closely related cultivars, in which it has been difficult to find polymorphic sites by conventional methods. The frequency of SNPs in rice genome varied between chromosomes, moreover it showed uneven distribution of polymorphism-rich and -poor regions along each chromosome. Several routes have been used for identification of SNP in rice, such as sequencing PCR products of DNA samples, screening SNPs in SSR fragments, and searching for SNPs through the rice genome sequences and EST database. A number of genotyping systems have been developed to identify SNPs in rice genome. High automation in SNPs identification has become a very convenient operation by the automatized systems. SNPs can be converted to CAPS (cleaved amplified polymorphic sequence) or dCAPS (derived-CAPS), and allele-specific PCR markers. SNP has shown huge potential in establishing rice genetic maps, genes cloning and functional genomics, MAS (marker assisted selection) in rice breeding, and studying on classification and evolution of germplasm.

Breeding↗

Haplotypes and haplotype-tagging single-nucleotide polymorphism: presentation Group 8 of Genetic Analysis Workshop 14.

Moderately dense maps of single-nucleotide polymorphism (SNP) markers across the human genome for both the simulated data set and data from the Collaborative Study of the Genetics of Alcoholism were available at Genetic Analysis Workshop 14 for the first time. This allowed examination of various novel and existing methods for haplotype analyses. Three contributors applied Mantel statistics in different ways for both linkage and association analysis by using the shared length between two haplotypes at a marker locus as a measure of genetic similarity. The results indicate that haplotype-sharing based on Mantel statistics can be a powerful approach and needs further methodological evaluation. Four contributors investigated haplotype-tagging SNP (htSNP) selection procedures, two contributors examined the use of multilocus haplotypes compared to single loci in association tests, and two contributors compared the accuracy of various methods for reconstructing haplotypes and estimating haplotype frequencies for both pedigree data and data from unrelated individuals. For all three different tasks, software packages and procedures gave similar results in regions of high linkage disequilibrium (LD). However, they were not as consistent in regions of moderate to low LD. One coalescence-based approach for estimating haplotype frequencies, coupled with a Markov chain Monte Carlo technique, outperformed the other haplotype frequency estimation methods in regions of low LD. In conclusion, regardless of the task, results were similar in chromosomal regions of high LD. However, based on the differing results observed here, methodological improvements are required for chromosomal regions of low to moderate LD.

Alcoholism↗

PCR screening for 22q11.2 microdeletion: development of a new cost-effective diagnostic tool.

BACKGROUND: Del22q11.2 syndrome is the most frequent known chromosomal microdeletion syndrome. Previous studies suggest that a substantial number of patients with congenital heart disease have a 22q11 deletion. The molecular diagnosis of Del22q11.2 is usually made by fluorescence in situ hybridization, an expensive and not widely available technique. We developed an efficient and cost-effective PCR SNP assay designed for the screening of 22q11.2 deletion through consecutive homozygosity. METHODS: Through the screening of dbSNP we have selected SNP markers located in the 22q11.2 microdeleted region. Population heterozygosities were determined in 213 normal individuals. Designed assays consisted of PCR amplification followed by restriction enzyme digestion. Fragments generated were visualized on agarose gel and genotyped. RESULTS: Selected markers were: rs5748411, rs2238778, rs4819523 and rs4680. All selected markers were localized in the 22q11.2 deleted region. Allele and genotype frequencies of all selected markers were under Hardy-Weinberg equilibrium. Selected SNPs were not in linkage disequilibrium. Predicted assay specificity was estimated to be 92.86% in the Brazilian population. CONCLUSIONS: The use of consecutive homozygosity in this SNP-based diagnostic test may be used as a cost-effective tool in reference molecular genetics laboratories.

Adult↗

Expression-based genetic/physical maps of single-nucleotide polymorphisms identified by the cancer genome anatomy project.

SNPs (Single-Nucleotide Polymorphisms), the most common DNA variant in humans, represent a valuable resource for the genetic analysis of cancer and other illnesses. These markers may be used in a variety of ways to investigate the genetic underpinnings of disease. In gene-based studies, the correlations between allelic variants of genes of interest and particular disease states are assessed. An extensive collection of SNP markers may enable entire molecular pathways regulating cell metabolism, growth, or differentiation to be analyzed by this approach. In addition, high-resolution genetic maps based on SNPs will greatly facilitate linkage analysis and positional cloning. The National Cancer Institute's CGAP-GAI (Cancer Genome Anatomy Project Genetic Annotation Initiative) group has identified 10,243 SNPs by examining publicly available EST (Expressed Sequence Tag) chromatograms. More than 6800 of these polymorphisms have been placed on expression-based integrated genetic/physical maps. In addition to a set of comprehensive SNP maps, we have produced maps containing single nucleotide polymorphisms in genes expressed in breast, colon, kidney, liver, lung, or prostate tissue. The integrated maps, a SNP search engine, and a Java-based tool for viewing candidate SNPs in the context of EST assemblies can be accessed via the CGAP-GAI web site (http://cgap.nci.nih.gov/GAI/). Our SNP detection tools are available to the public for noncommercial use.

Chromosome Mapping↗

An Amplicon Panel for High-Throughput and Low-Cost Genotyping of Yesso Scallop Mizuhopecten yessoensis.

The Yesso scallop Mizuhopecten yessoensis was imported from Japan to western Canada in the late 1980s to establish an economically viable scallop aquaculture industry. Since this time, the industry in Canada has operated with existing genetic diversity within the broodstock, which is considerably limited relative to wild populations. The sector has not been able to realise its full potential in part due to idiopathic hatchery failures and farm stock collapses due to disease outbreaks associated with the intracellular bacterial pathogen Francisella halioticida. To support Yesso scallop production and breeding, here we generate a low-density, genotyping-by-sequencing amplicon panel using single nucleotide polymorphism (SNP) markers that are evenly spaced across the M. yessoensis genome and that show high heterozygosity in Canada and Japan. The panel can also exploit the high genetic polymorphism of the M. yessoensis genome, with de novo SNP calling identifying over 2,500 high quality SNPs within the 579 sequenced amplicons. We demonstrate the utility and versatility of this new genotyping tool for breeding applications including parentage assignment, low density family-based genome-wide association study, trait heritability evaluation to determine potential for genomic selection, and species differentiation (against the weathervane scallop Patinopecten caurinus). We did not find any genomic regions significantly associated with F. halioticida resistance but did identify potential for genomic selection. We could separate the two species based on genotypes, and did not see evidence of a past M. yessoensis x P. caurinus hybridization event within the M. yessoensis breeding population at Vancouver Island University. This low-cost genotyping panel is expected to accelerate selective breeding improvements for M. yessoensis in Canada and elsewhere.

Animals↗

Phylogenetic discovery bias in Bacillus anthracis using single-nucleotide polymorphisms from whole-genome sequencing.

Phylogenetic reconstruction using molecular data is often subject to homoplasy, leading to inaccurate conclusions about phylogenetic relationships among operational taxonomic units. Compared with other molecular markers, single-nucleotide polymorphisms (SNPs) exhibit extremely low mutation rates, making them rare in recently emerged pathogens, but they are less prone to homoplasy and thus extremely valuable for phylogenetic analyses. Despite their phylogenetic potential, ascertainment bias occurs when SNP characters are discovered through biased taxonomic sampling; by using whole-genome comparisons of five diverse strains of Bacillus anthracis to facilitate SNP discovery, we show that only polymorphisms lying along the evolutionary pathway between reference strains will be observed. We illustrate this in theoretical and simulated data sets in which complex phylogenetic topologies are reduced to linear evolutionary models. Using a set of 990 SNP markers, we also show how divergent branches in our topologies collapse to single points but provide accurate information on internodal distances and points of origin for ancestral clades. These data allowed us to determine the ancestral root of B. anthracis, showing that it lies closer to a newly described "C" branch than to either of two previously described "A" or "B" branches. In addition, subclade rooting of the C branch revealed unequal evolutionary rates that seem to be correlated with ecological parameters and strain attributes. Our use of nonhomoplastic whole-genome SNP characters allows branch points and clade membership to be estimated with great precision, providing greater insight into epidemiological, ecological, and forensic questions.

Bacillus anthracis↗

Association of neuregulin 1 with schizophrenia confirmed in a Scottish population.

Recently, we identified neuregulin 1 (NRG1) as a susceptibility gene for schizophrenia in the Icelandic population, by a combined linkage and association approach. Here, we report the first study evaluating the relevance of NRG1 to schizophrenia in a population outside Iceland. Markers representing a core at-risk haplotype found in Icelanders at the 5' end of the NRG1 gene were genotyped in 609 unrelated Scottish patients and 618 unrelated Scottish control individuals. This haplotype consisted of five SNP markers and two microsatellites, which all appear to be in strong linkage disequilibrium. For the Scottish patients and control subjects, haplotype frequencies were estimated by maximum likelihood, using the expectation-maximization algorithm. The frequency of the seven-marker haplotype among the Scottish patients was significantly greater than that among the control subjects (10.2% vs. 5.9%, P=.00031). The estimated risk ratio was 1.8, which is in keeping with our report of unrelated Icelandic patients (2.1). Three of the seven markers in the haplotype gave single-point P values ranging from .000064 to .0021 for the allele contributing to the at-risk haplotype. This direct replication of haplotype association in a second population further implicates NRG1 as a factor that contributes to the etiology of schizophrenia.

Algorithms↗

Generation and comparison of EST-derived SSRs and SNPs in barley (Hordeum vulgare L.).

The progress of genome sequencing projects of model plants like barley, combined with the recent advances of high throughput assays, has provided a wealth of sequence information. This information is being employed to develop a high density transcript map of barley (Hordeum vulgare L.). To achieve this goal, the available EST database is being used as a resource for the development of novel microsatellite (SSR) and single nucleotide polymorphism (SNP) markers. So far, a total of 692 microsatellites representing different di-, tri- and tetra-nucleotide repeats were identified from a set of 19,000 EST sequences. Non-redundant SSRs have been used for mapping and so far 76 microsatellite loci were mapped. In addition to the 180 SNP primer pairs, which were designed to target specific ESTs, 72 were polymorphic among the seven genotypes examined here. Of these, 60 SNPs have been mapped applying a denaturing HPLC approach. To examine the potential of the EST-derived markers for pedigree studies, EST-derived SSRs (75 loci) and SNPs (72 loci) were used to fingerprint a set of seven genotypes. The results show that although both marker types yielded similar groupings, a larger data set of both SSRs and SNPs is necessary to obtain stable clusters in unrelated germplasm.

Chromatography, High Pressure Liquid↗

Failure to confirm genetic association between schizophrenia and markers on chromosome 1q23.3 in the region of the gene encoding the regulator of G-protein signaling 4 protein (RGS4).

The chromosome 1q23.3 region, which includes the RGS4 gene has been implicated in genetic susceptibility to schizophrenia by two linkage studies with lod scores of 6.35 and 3.20 and with positive lod between 2.00 and 3.00 scores in several other studies. Reduced post mortem RGS4 gene expression in the brain of schizophrenics was reported as well as positive allelic association between markers at the RGS4 gene locus and schizophrenia. We have attempted to replicate the finding of allelic association with schizophrenia in a UK based sample of 450 subjects with schizophrenia and 450 supernormal controls. We genotyped the same SNP marker alleles investigated in the earlier studies and also a di-nucleotide (GT)14 repeat microsatellite marker, which was 7 kb distal to RGS4. In the new UK sample there was no evidence for allelic or haplotypic association between RGS4 markers and schizophrenia. This might reflect genetic heterogeneity between the population samples, genotyping or other methodological problems. The finding weakens the evidence that mutations or variation in the RGS4 gene have an effect on schizophrenia susceptibility.

Alleles↗