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Direct detection of single nucleotide polymorphism (SNP) with genomic DNA by the ferrocenylnaphthalene diimide-based electrochemical hybridization assay (FND-EHA).

A ferrocenylnaphthalene diimide-based electrochemical hybridization assay (FND-EHA) was applied to the direct detection of a C-to-G transition in a codon (TCA) for Ser-447 of the human lipoprotein lipase (LPL) gene, which resulted in the termination of the LPL protein there. Either one of two 13-meric oligonucleotide probes, S447 WT and S447X MT, representing sequences complementary to those of the wild type (WT) and mutated (MT) forms, was immobilized on a gold electrode, followed by hybridization with chromosomal DNA extracted from human leukocytes under the condition in which both WT- and MT-type sequences can form a duplex. These two electrodes were soaked in an electrolyte containing FND under a condition [0.1 M HOAc/KOAc (pH 5.6) containing 0.1 KCl and 0.05 mM FND at 40 degrees C], in which only the MT duplex could undergo dissociation. FND was concentrated in proportion to the amount of the duplex formed on the electrode to give rise to a current signal. The electrochemical signal ratios obtained for WT/WT, WT/MT and MT/MT were close to the theoretical 2:1:0 with the S447 WT-modified electrode, and was again close to 0:1:2 with the S447X MT-modified one.

Base Sequence↗

[Genetics of atrial fibrillation: rare mutations, common variants and clinical relevance?].

Atrial fibrillation (AF) is considered the, by far, the most common arrhythmia of man, affecting millions of patients worldwide. The high socio-economic relevance is due to several severe complications and therefore requires profound scientific research in the field of etiology and treatment options. Atrial fibrillation typically occurs in the older patient who often suffers from a number of underlying diseases that act as predisposing factors. That genetics contribute strongly to this rhythm disorder is therefore not evident at a first glance. However, there are a number of investigations that prove familial accumulation for lone AF. Furthermore it is remarkable that many older patients suddenly develop atrial fibrillation without underlying disease, while others remain in sinus rhythm although suffering from a series of risk factors. Considering all this, genetic interference becomes most probable. Therefore in the recent past remarkable endeavours have been ventured to clarify the genetic basis of both lone AF and AF in the context of underlying diseases. For the former, until now four different genetic loci and three disease genes have been identified as causative. Concerning AF in the general population, mainly studies turning the spotlight on single-nucleotide polymorphisms (SNPs) have been applied. It is assumed that SNPs in disease-causing genes are distributed differentially among healthy and diseased individuals. These differences in frequency have been investigated with case-control studies. Up to now six different genes have been found to be associated with AF, including the genes for angiotensin-converting enzyme, angiotensinogen and several cardiac ion channels. Promising new technologies, especially high-throughput SNP genotyping and the genome wide scan for new candidate genes using chip arrays capable of genotyping up to 500 000 SNPs at a time, will multiply the speed to achieve new results. With that the possibility, approaches to optimize existing therapies and to open up new pathways to treat AF.

Atrial Fibrillation↗

Power of genome-wide linkage disequilibrium testing by using microsatellite markers.

Linkage disequilibrium (LD) testing is often used in the search for disease genes. In this study, we developed a method for calculating the expected power of genome-wide LD testing by using microsatellite markers under the following assumptions: (1) microsatellite markers have unequally frequent alleles, (2) markers are equally spaced through the human genome, (3) the degree of LD between the disease variant and the marker decays gradually because of recombination and mutation, (4) the population frequency of the disease variant is low (e.g., 0.05), (5) a single-marker test is performed in a case-control study, and (6) the significance level is adjusted by the number of tests to avoid inflation of the type I error. Our calculations revealed a markedly higher power for microsatellite markers than for single nucleotide polymorphism (SNP) markers, even if more SNPs are analyzed, suggesting that the use of microsatellite markers is preferable to the use of SNPs for genome-wide screening under the above assumptions. This method will be helpful to researchers who design genome-wide LD testing with microsatellite markers.

Alleles↗

Common variants in mismatch repair genes and risk of invasive ovarian cancer.

Mismatch repair (MMR) is important for repairing of nucleotide mismatches during DNA replication. Germline mutations in MMR genes are associated with hereditary non-polyposis colorectal cancer (HNPCC). Ovarian cancer occurs as part of the HNPCC phenotype, and so common variants in MMR genes are candidates for ovarian cancer susceptibility. We performed a large multicentre case-control study to investigate associations of common variations in MMR genes and ovarian cancer using a single nucleotide polymorphism (SNP) tagging approach. A total of 2570 controls and 1531 cases from three separate studies were genotyped for 44 tagging SNPs (stSNP) in seven MMR genes (MLH1, MLH3, MSH2, MSH3, MSH6, PMS1 and PMS2). Genotype frequencies were marginally different between cases and controls for PMS2 rs7797466 (P(2df) = 0.046) with a 1.17-fold (95% CI 1.03-1.33) increase in risk for each 'a' allele carried (P-trend = 0.013). Haplotype analysis of PMS2 also showed significant differences in frequencies between cases and controls (P(7df) = 0.005), with one haplotype accounting for most of the effect. There was also marginal evidence for a recessive protective effect with common homozygote as the baseline comparator for two SNPs--MSH6 rs3136245 (OR 0.67; 95% CI 0.46-0.98) and MSH3 rs6151662 (OR 0.28; 95% CI 0.08-0.91)--but the comparisons of genotype frequencies for these variants were not significant (P = 0.10 and 0.054). In conclusion, it is unlikely that common variants in MLH1, MLH3, PMS1, MSH2, MSH3 and MSH6 contribute significantly to ovarian cancer susceptibility. The observed association of PMS2 rs7797466 with ovarian cancer warrants confirmation in an independent study.

Adenosine Triphosphatases↗

Characterization of the aldo-keto reductase 1C gene cluster on pig chromosome 10: possible associations with reproductive traits.

BACKGROUND: The rate of pubertal development and weaning to estrus interval are correlated and affect reproductive efficiency of swine. Quantitative trait loci (QTL) for age of puberty, nipple number and ovulation rate have been identified in Meishan crosses on pig chromosome 10q (SSC10) near the telomere, which is homologous to human chromosome 10p15 and contains an aldo-keto reductase (AKR) gene cluster with at least six family members. AKRs are tissue-specific hydroxysteroid dehydrogenases that interconvert weak steroid hormones to their more potent counterparts and regulate processes involved in development, homeostasis and reproduction. Because of their location in the swine genome and their implication in reproductive physiology, this gene cluster was characterized and evaluated for effects on reproductive traits in swine. RESULTS: Screening the porcine CHORI-242 BAC library with a full-length AKR1C4 cDNA identified 7 positive clones and sample sequencing of 5 BAC clones revealed 5 distinct AKR1C genes (AKR1CL2 and AKR1C1 through 4), which mapped to 126-128 cM on SSC10. Using the IMpRH7000rad and IMNpRH212000rad radiation hybrid panels, these 5 genes mapped between microsatellite markers SWR67 and SW2067. Comparison of sequence data with the porcine BAC fingerprint map show that the cluster of genes resides in a 300 kb region. Twelve SNPs were genotyped in gilts observed for age at first estrus and ovulation rate from the F8 and F10 generations of one-quarter Meishan descendants of the USMARC resource population. Age at puberty, nipple number and ovulation rate data were analyzed for association with genotypes by MTDFREML using an animal model. One SNP, a phenylalanine to isoleucine substitution in AKR1C2, was associated with age of puberty (p = 0.07) and possibly ovulation rate (p = 0.102). Two SNP in AKR1C4 were significantly associated with nipple number (p </= 0.03) and another possibly associated with age at puberty (p = 0.09). CONCLUSION: AKR1C genotypes were associated with nipple number as well as possible effects on age at puberty and ovulation rate. The estimated effects of AKR1C genotypes on these traits suggest that the SNPs are in incomplete linkage disequilibrium with the causal mutations that affect reproductive traits in swine. Further investigations are necessary to identify these mutations and understand how these AKR1C genes affect these important reproductive traits. The nucleotide sequence data reported have been submitted to GenBank and assigned accession numbers [GenBank:DQ474064-DQ474068, GenBank:DQ494488-DQ494490 and GenBank:DQ487182-DQ487184].

Alcohol Oxidoreductases↗

Candidate-gene screening and association analysis at the autism-susceptibility locus on chromosome 16p: evidence of association at GRIN2A and ABAT.

Autism is a highly heritable neurodevelopmental disorder whose underlying genetic causes have yet to be identified. To date, there have been eight genome screens for autism, two of which identified a putative susceptibility locus on chromosome 16p. In the present study, 10 positional candidate genes that map to 16p11-13 were examined for coding variants: A2BP1, ABAT, BFAR, CREBBP, EMP2, GRIN2A, MRTF-B, SSTR5, TBX6, and UBN1. Screening of all coding and regulatory regions by denaturing high-performance liquid chromatography identified seven nonsynonymous changes. Five of these mutations were found to cosegregate with autism, but the mutations are not predicted to have deleterious effects on protein structure and are unlikely to represent significant etiological variants. Selected variants from candidate genes were genotyped in the entire International Molecular Genetics Study of Autism Consortium collection of 239 multiplex families and were tested for association with autism by use of the pedigree disequilibrium test. Additionally, genotype frequencies were compared between 239 unrelated affected individuals and 192 controls. Patterns of linkage disequilibrium were investigated, and the transmission of haplotypes across candidate genes was tested for association. Evidence of single-marker association was found for variants in ABAT, CREBBP, and GRIN2A. Within these genes, 12 single-nucleotide polymorphisms (SNPs) were subsequently genotyped in 91 autism trios (one affected individual and two unaffected parents), and the association was replicated within GRIN2A (Fisher's exact test, P<.0001). Logistic regression analysis of SNP data across GRIN2A and ABAT showed a trend toward haplotypic differences between cases and controls.

4-Aminobutyrate Transaminase↗

New clues on the origin of the Friedreich ataxia expanded alleles from the analysis of new polymorphisms closely linked to the mutation.

Friedreich's ataxia (FRDA) is an autosomal recessive neurodegenerative disorder commonly caused by large expansions of a GAA repeat in the first intron of the frataxin gene, FRDA. The expansion of the triplet repeat is localized within an Alu sequence. FRDA GAA-repeat alleles can be divided into three classes depending on their lengths: short normal alleles (SN), long normal alleles (LN) and expanded pathological alleles (E). We made an accurate analysis of the Alu sequence containing the GAA repeat. We found a new single-nucleotide polymorphism (SNP) that is the closest one to the GAA repeat. We studied this new SNP and the polymorphic polyA region contiguous to the GAA triplets in two populations with different frequencies of FRDA. We found that, while both E and LN alleles seem to be genetically homogeneous and likely related, SN represents a more heterogeneous class of alleles. Indeed, one SNP variation (T) was more frequently associated with (GAA)(8) alleles, whereas the other one (C) with (GAA)(9) repeat(s). The long normal and expanded alleles presented the C haplotype. The same correlation was described for polyA-tract polymorphisms. Thus, 14A was commonly associated with (GAA)(8) alleles and 17A with (GAA)(9) alleles. The long normal alleles more frequently showed the 17A haplotype. Our data seem to suggest that all the E alleles come from LN alleles, while LN alleles come from a defined subclass of SN alleles.

Alleles↗

Apparent intrachromosomal exchange on the human Y chromosome explained by population history.

The human Y chromosome displays an unusual content of repetitive sequences. Y-chromosomal repeats are potential targets for intrachromosomal recombination, which is thought to be involved in a number of Y-associated defects, such as male infertility. Such rearrangements could potentially be investigated by the use of highly polymorphic DNA markers located within the repeat units, such as microsatellites. Here we analyse the two copies of the Y-chromosomal microsatellite DYS385, which we identified and localized to an approximately 190 kb duplicated and inverted fragment at Yq11.223. We found a highly significant correlation (r=0.853, P&<0.001) and a nonsignificant difference in a chi(2)-test (chi(2)=15.45, P>0.05) between the allele frequency distributions at both copies of the Y-STR in a German population sample (n=70). Such nearly identical allele frequency distribution between two copies of a duplicated highly polymorphic microsatellite cannot be explained by the independent mutational process that creates microsatellite alleles. Instead, this might be interpreted as evidence for a reciprocal intrachromosomal exchange process between the duplicated fragments. However, more detailed analyses using additional human populations as well as additional Y chromosome markers revealed that this phenomenon is highly population-specific and disappears completely when Y-STR diversity is analysed in association with two Y-SNP haplogroups. We found that the diversity of the two DYS385 loci (and other Y-STRs) is highly depending on the haplogroup background, and that equal proportions of both haplogroups in the German sample explains the nearly identical allele frequency distributions at the two DYS385 loci. Thus, we demonstrate here that allele frequency distributions at duplicate loci that are suggestive of intrachromosomal recombination can be explained solely by population history.

Chromosome Mapping↗

A new single nucleotide polymorphism in the chicken pituitary-specific transcription factor (POU1F1) gene associated with growth rate.

The pituitary-specific transcription factor (POU1F1) is a protein which binds to and transactivates promoters of growth hormone (GH), prolactin (PRL) and thyroid-stimulating hormone chain (TSHB)-encoding genes. Ten chicken populations (n = 662), including six Chinese indigenous breeds, White Leghorn, paternal/maternal lines of brown egg layer and a paternal line of broiler, were used to detect single nucleotide polymorphisms in the pituitary-specific transcription factor gene (PIT1) by means of PCR-SSCP. A nucleotide transversion from adenine (A) to thymidine (T) at position 980 of the open reading frame of the PIT1 cDNA (GenBank accession no. AF029892) was identified. This nucleotide transversion results in an alteration of codon 299 from AAC to ATC, which leads to a change from asparagine (Asn) to isoleucine (Ile) in the POU domain of POU1F1. The distribution of allele and genotype frequencies differed significantly between meat-type chickens (higher frequencies of A and A/A) and layer-type chickens (P < 0.01). Another experimental population with growth records was used to evaluate the relationship between this polymorphism and growth rate. The results revealed a positive relationship between genotype A/A and body weight at 8 weeks of age, indicating that the SNP in PIT1 gene is a potential molecular marker for early growth rate in chicken.

Animals↗

Association analysis of adiponectin and somatostatin polymorphisms on BTA1 with growth and carcass traits in Angus cattle.

This study tested positional candidate genes adiponectin (ADIPOQ) and somatostatin (SST) for effects on carcass traits in a commercially relevant cattle population. Both genes are located within a region of BTA1 previously reported to harbour quantitative trait loci (QTL) that affect marbling, quality grade, yield grade, ribeye area and weaning weight in Bos taurus x Bos indicus crosses. Except for the first intron of ADIPOQ, both genes, including over 2 kb upstream of the promoters, were sequenced in five registered Angus sires to identify polymorphisms. A variable copy duplication and three single nucleotide polymorphisms (SNPs) in ADIPOQ and one SNP in SST were genotyped and tested for association with 19 traits in a 14-generation pedigree of 1697 registered Angus artificial insemination sires representing all the major USA lineages of the breed. Linear models that parameterized predicted genetic merits in terms of allele substitution effects were fit by weighted least squares, and goodness-of-fit tests were employed to differentiate causal mutations or polymorphisms in strong linkage disequilibrium (LD) with causal mutations from markers in weak LD with QTL. We confirmed the presence of QTL affecting marbling, ribeye muscle area and fat thickness in the vicinity of SST and ADIPOQ on BTA1 in Angus; excluded SST as underlying the ribeye muscle area QTL; and excluded ADIPOQ as underlying the marbling score QTL. However, association analysis provides very limited information about QTL location and has little intrinsic value when performed in the absence of linkage or LD analysis using flanking marker data to localize the QTL effect relative to positional candidate genes.

Adiponectin↗

Application of haplotype pair analysis for the identification of hemizygous loci.

An expectation maximisation based prediction algorithm was created to identify unusual haplotypes in patient samples that may be caused by small intragenic deletions. In this approach, unphased SNP genotypes are compared to pairs of canonical haplotypes to identify potentially hemizygous regions. This method was successfully applied to identify five deletions in the 3' region of BRCA1.

Algorithms↗

Improvements in the analysis strategy make single nucleotide polymorphism analysis a powerful tool in the detection and characterization of amplified chromosomal regions in human tumors.

OBJECTIVE: Single nucleotide polymorphism analysis (SNP) has recently been proposed as an alternative technique to comparative genomic hybridization (CGH) for defining loss of heterozygosity and gene copy number changes in a single experimental setup. In order to assess the potential of SNP analysis to complement or, ultimately, substitute CGH results, we applied both techniques to five primary tumor samples and two tumor cell lines. This was complemented by dilution experiments based on normal lymphocyte DNA to decipher the lower detection limit for genetic alterations. METHODS/RESULTS: Using an in-house software tool, we demonstrated that SNP analysis permits the generation of chromosomal alteration patterns that largely resemble conventional CGH ratio profiles of a given tumor/cell line. Moreover, compared to CGH, our SNP software tool allows a much more detailed definition of amplicon sizes and involved candidate genes. This advantage even persisted when the technique was applied to DNA with more than 60% of nontumor content. However, the detection of chromosomal losses is severely hampered by the presence of nontumor DNA so that the use of the SNP technique should be limited to tumor samples with more than 80% tumor DNA. CONCLUSION: SNP analysis is a very valuable tool for the detection and characterization of high-level chromosomal amplifications in the vast majority of primary tumor samples. Our software tool improves the analysis of SNP data and the presentation of the results, bridging the gap to existing CGH knowledge (http://bioinformatics.uni-muenster.de, 'Publications and Supplements').

Algorithms↗

Applications of whole-genome high-density SNP genotyping.

The technology to simultaneously genotype hundreds of thousands of single nucleotide polymorphisms in a single assay has only recently been developed. These advances have the potential to revolutionize our ability to identify disease-associated proteins and their corresponding pathways as drugable targets. Several strategies that can take advantage of extremely high-density, genome-wide single nucleotide polymorphism genotyping to hone in on pathogenic genetic variants will be discussed. In familial linkage studies, high-density single nucleotide polymorphism genotyping has already been proven to speed up mutation identification of Mendelian traits several fold. Many studies now report examining loss of heterozygosity and genomic amplifications on a whole-genome level. Genotyping hundreds of thousands of single nucleotide polymorphisms in a single set of assays now also allows for whole-genome association studies in complex, multigenic diseases. The technology of high-density single nucleotide polymorphism genotyping has emerged rapidly, leaving data analysis and bioinformatic challenges only partially met. In this review, the immediate applications and implications of the rapidly changing high-density, whole-genome single nucleotide polymorphism genotyping field on translational research will be described.

Genetic Predisposition to Disease↗

A transforming growth factorbeta1 signal peptide variant increases secretion in vitro and is associated with increased incidence of invasive breast cancer.

There is evidence that transforming growth factor (TGF)beta acts as a suppressor of tumor initiation but also as a promoter of tumor progression when the antiproliferative effect of the TGFbeta signaling pathway has been overridden by other oncogenic mutations. Several somatic mutations that disrupt the TGFbeta-SMAD signaling pathway have been reported in human breast tumors. We have examined the association between single nucleotide polymorphisms (SNPs) in the TGFbeta1 gene and the incidence of invasive breast cancer in three case-control series, with a maximum of 3987 patients and 3867 controls, median age approximately 50 years, and range 22-92 years. The promoter SNP, C-509T, and the T +29C signal-peptide SNP (encoding Leu10Pro) are in strong linkage disequilibrium. They are both significantly associated with increased incidence of invasive breast cancer in a recessive manner [odds ratios: (TT versus C-carrier), 1.25; 95% confidence intervals 1.06-1.48; P = 0.009 and (ProPro versus Leu-carrier), 1.21; 95% confidence intervals 1.05-1.37; P = 0.01]. The G-800A SNP was not significantly associated with incidence of breast cancer. The C-509T SNP is not contained within a known consensus sequence for a promoter regulatory element and therefore unlikely to affect TGFbeta1 expression, whereas the Leu10Pro signal peptide substitution potentially affects TGFbeta1 secretion. Transfections of HeLa cells with constructs encoding either the Pro or Leu forms of TGFbeta1 and driven by the cytomegalovirus promoter indicate that the signal peptide with Pro at residue 10 causes a 2.8-fold increase in secretion compared with the Leu form. These data indicate that the allele encoding Pro10 is associated with increased rates of TGFbeta1 secretion and with increased incidence of invasive breast cancer for the population samples described. It is estimated that 3% of all breast cancer cases may be attributable to Pro10 homozygosity.

Amino Acid Substitution↗

Ligation detection reaction-TaqMan procedure for single nucleotide polymorphism detection on genomic DNA.

In this article, we describe a genotyping approach applicable to both individual and multiplexed single nucleotide polymorphism (SNP) analysis, based on a ligation detection reaction (LDR) performed directly on genomic DNA. During the ligation, the biallelic state of the SNP locus is converted into a bimarker state of ligated detector oligonucleotides. The state of the markers is then determined by a 5'-nuclease assay (TaqMan) with universal fluorescent probes. The LDR-TaqMan method was successfully applied for the genotyping of 30 SNP loci of Arabidopsis thaliana. The technology is cost-effective, needs no locus-specific optimization, requires minimal manipulations, and has very good potential for automation.

Alleles↗

Novel, replicated associations between dopamine D3 receptor gene polymorphisms and schizophrenia in two independent samples.

BACKGROUND: Meta-analyses have suggested an association between schizophrenia (SZ) and a coding polymorphism (rs6280/Ser9Gly) at the dopamine D3 receptor gene (DRD3), but results have been inconsistent. Because most studies have evaluated only rs6280, the inconsistencies might reflect associations with other variants. METHODS: We analyzed polymorphisms spanning 109kb in two independent samples (United States: 13 single nucleotide polymorphisms (SNPs), 331 cases, 151 trios, 274 control subjects; India: 11 SNPs, 141 trios). RESULTS: In the U.S. samples, significant associations were detected with eight SNPs, including rs6280 (p = .001, odds ratio: 1.5). Consistent associations in the case-control and family-based analyses were detected with a common haplotype spanning intron 1 to the 3' region of the gene (rs324029-rs7625282-rs324030-rs2134655-rs10934254; case-control, p = .002; transmission disequilibrium test [TDT], p = .0009; global p-values = .002 and .007, respectively). In the Indian sample, one SNP was associated (rs10934254, p = .03). Moreover, over-transmission of the same common haplotype as the U.S. sample was observed in this cohort (TDT, p = .005; global test, p = .009). Ser9Gly (rs6280) was associated with SZ against this haplotype background but not other haplotypes. CONCLUSIONS: These data suggest previous inconsistencies might have resulted from associations with other DRD3 variants. A liability locus might be in linkage disequilibrium (LD) with or carried against, an associated haplotype 3' to rs6280. Comprehensive SNP evaluation in larger samples is needed.

Case-Control Studies↗

Automated SNP detection in expressed sequence tags: statistical considerations and application to maritime pine sequences.

We developed an automated pipeline for the detection of single nucleotide polymorphisms (SNPs) in expressed sequence tag (EST) data sets, by combining three DNA sequence analysis programs: Phred, Phrap and PolyBayes. This application requires access to the individual electrophoregram traces. First, a reference set of 65 SNPs was obtained from the sequencing of 30 gametes in 13 maritime pine (Pinus pinaster Ait.) gene fragments (6671 bp), resulting in a frequency of 1 SNP every 102.6 bp. Second, parameters of the three programs were optimized in order to retrieve as many true SNPs, while keeping the rate of false positive as low as possible. Overall, the efficiency of detection of true SNPs was 83.1%. However, this rate varied largely as a function of the rare SNP allele frequency: down to 41% for rare SNP alleles (frequency < 10%), up to 98% for allele frequencies above 10%. Third, the detection method was applied to the 18498 assembled maritime pine (Pinus pinaster Ait.) ESTs, allowing to identify a total of 1400 candidate SNPs, in contigs containing between 4 and 20 sequence reads. These genetic resources, described for the first time in a forest tree species, were made available at http://www.pierroton.inra/genetics/Pinesnps. We also derived an analytical expression for the SNP detection probability as a function of the SNP allele frequency, the number of haploid genomes used to generate the EST sequence database, and the sample size of the contigs considered for SNP detection. The frequency of the SNP allele was shown to be the main factor influencing the probability of SNP detection.

Algorithms↗