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PubMed2005

SSCP-SNP in pearl millet--a new marker system for comparative genetics.

A considerable array of genomic resources are in place in pearl millet, and marker-aided selection is already in use in the public breeding programme at ICRISAT. This paper describes experiments to extend these publicly available resources to a single nucleotide polymorphism (SNP)-based marker system. A new marker system, single-strand conformational polymorphism (SSCP)-SNP, was developed using annotated rice genomic sequences to initially predict the intron-exon borders in millet expressed sequence tags (ESTs) and then to design primers that would amplify across the introns. An adequate supply of millet ESTs was available for us to identify 299 homologues of single-copy rice genes in which the intron positions could be precisely predicted. PCR primers were then designed to amplify approximately 500-bp genomic fragments containing introns. Analysis of these fragments on SSCP gels revealed considerable polymorphism. A detailed DNA sequence analysis of variation at four of the SSCP-SNP loci over a panel of eight inbred genotypes showed complex patterns of variation, with about one SNP or indel (insertion-deletion) every 59 bp in the introns, but considerably fewer in the exons. About two-thirds of the variation was derived from SNPs and one-third from indels. Most haplotypes were detected by SSCP. As a marker system, SSCP-SNP has lower development costs than simple sequence repeats (SSRs), because much of the work is in silico, and similar deployment costs and through-put potential. The rates of polymorphism were lower but useable, with a mean PIC of 0.49 relative to 0.72 for SSRs in our eight inbred genotype panel screen. The major advantage of the system is in comparative applications. Syntenic information can be used to target SSCP-SNP markers to specific chromosomal regions or, conversely, SSCP-SNP markers can be used to unravel detailed syntenic relationships in specific parts of the genome. Finally, a preliminary analysis showed that the millet SSCP-SNP primers amplified in other cereals with a success rate of about 50%. There is also considerable potential to promote SSCP-SNP to a COS (conserved orthologous set) marker system for application across species by more specifically designing primers to precisely match the model genome sequence.

Base Sequence↗

PubMed2003

Genetic markers and their application in poultry breeding.

The current chicken genetic map contains at least 1,965 loci within 50 linkage groups, and it covers about 4,000 cM. About 235 of these loci have homology with known human or mammalian genes. The remaining loci are anonymous molecular DNA markers, including microsatellites, amplified fragment length polymorphism (AFLP), randomly amplified polymorphic DNA (RAPD), CR1 elements, and others. A third generation genetic map for human uses single nucleotide polymorphisms (SNP), which have allowed the mapping of complex traits by linkage disequilibrium. One advantage of SNP is that they are usually linked to the gene of interest, and association of the SNP with traits of economic importance can be analyzed using candidate gene approaches. With the tremendous advancements in characterizing chicken expressed sequence tags (EST), the identification of genetic polymorphisms such as SNP in chicken genes has become a reality. Our laboratory has undertaken an in silico analysis of the chicken EST at the University of Delaware by using a Phred/Phrap/Polyphred/Consed pipeline to identify candidate chicken SNP. Initial scanning of 23,427 chicken EST identified a total of 1,209 candidate SNP, with at least 182 non-synonymous SNP that result in an amino acid change observed. Validation of these candidate chicken SNP is ongoing. Placement of the SNP on the chicken genetic map will enhance marker density, thus allowing for mapping of complex traits through linkage analysis and linkage disequilibrium. Application of SNP to identify disease resistance genes in chickens is of special interest to our laboratory, especially in regards to Marek's disease and coccidiosis.

Animal Husbandry↗

PubMed2003

Genomewide linkage and linkage disequilibrium analyses identify COL6A1, on chromosome 21, as the locus for ossification of the posterior longitudinal ligament of the spine.

Ossification of the posterior longitudinal ligament (OPLL) of the spine is a subset of "bone-forming" diseases, characterized by ectopic ossification in the spinal ligaments. OPLL is a common disorder among elderly populations in eastern Asia and is the leading cause of spinal myelopathy in Japan. We performed a genomewide linkage study with 142 affected sib pairs, to identify genetic loci related to OPLL. In multipoint linkage analysis using GENEHUNTER-PLUS, evidence of linkage to OPLL was detected on chromosomes 1p, 6p, 11q, 14q, 16q, and 21q. The best evidence of linkage was detected near D21S1903 on chromosome 21q22.3 (maximum Zlr=3.97); therefore, the linkage region was extensively investigated for linkage disequilibrium with single-nucleotide polymorphisms (SNPs) covering 20 Mb. One hundred fifty positional candidate genes lie in the region, and 600 gene-based SNPs were genotyped. There were positive allelic associations with seven genes (P<.01) in 280 patients and 210 controls, and four of the seven genes were clustered within a region of 750 kb, approximately 1.2 Mb telomeric to D21S1903. Extensive linkage disequilibrium and association studies of the four genes indicated that SNPs in the collagen 6A1 gene (COL6A1) were strongly associated with OPLL (P=.000003 for the SNP in intron 32 [-29]). Haplotype analysis with three SNPs in COL6A1 gave a single-point P value of.0000007. Identification of the locus of susceptibility to OPLL by genomewide linkage and linkage disequilibrium studies permits us to investigate the pathogenesis of the disease, which may lead to the development of novel therapeutic tools.

Chromosome Mapping↗

PubMed2006

Study of the gyrB gene polymorphism as a tool to differentiate among Mycobacterium tuberculosis complex subspecies further underlines the older evolutionary age of 'Mycobacterium canettii'.

The present investigation evaluated the PCR-restriction fragment length polymorphism (RFLP) analysis of hsp65 and gyrB targets for differentiation of the species within the Mycobacterium tuberculosis complex (MTC) both by including new restriction enzymes and previously unstudied species. The hsp65 restriction analysis using HhaI resulted in a characteristic 'Mycobacterium canettii' pattern. A study of the gyrB gene polymorphism using TaqIalpha and HinfI allowed the initial division of MTC into two major groups, one consisting of M. tuberculosis and 'M. canettii' as opposed to another single group with other species. Three different patterns were observed with RsaI, the first characteristic of Mycobacterium microti, the second with Mycobacterium bovis, M. bovis BCG and Mycobacterium caprae (M. caprae was easily separated from M. bovis, and M. bovis BCG by SacII digestion), and the third with M. tuberculosis, 'M. canettii', Mycobacterium africanum, Mycobacterium pinnipedii, and the dassie bacillus. Although further discrimination within the last group was not obtained using additional restriction enzymes, the HaeIII and RsaI digestions highlighted an important gyrB polymorphism among 'M. canettii' strains. A study of the single nucleotide polymorphisms (SNP) within the gyrB by sequence analysis not only confirmed the results of the restriction analysis, but showed further differences among 'M. canettii' isolates that were not picked up using the existing battery of restriction enzymes. As many as 11 different SNPs were identified in the collection of eight 'M. canettii' isolates studied. Considering that gyrB variability among MTC member species other than 'M. canettii' is as restricted as hsp65 variability among MTC, our data corroborate a recent proposition that the 'M. canettii' group is evolutionary much older than the other MTC members. In conclusion, gyrB PCR-RFLP is a simple and rapid low-cost method that combined with phenotypic characteristics, may be helpful to differentiate most of the subspecies within the MTC.

Bacterial Typing Techniques↗

PubMed2006

Staphylococcus aureus genotyping using novel real-time PCR formats.

One approach to microbial genotyping is to make use of sets of single-nucleotide polymorphisms (SNPs) in combination with binary markers. Here we report the modification and automation of a SNP-plus-binary-marker-based approach to the genotyping of Staphylococcus aureus and its application to 391 S. aureus isolates from southeast Queensland, Australia. The SNPs used were arcC210, tpi243, arcC162, gmk318, pta294, tpi36, tpi241, and pta383. These provide a Simpson's index of diversity (D) of 0.95 with respect to the S. aureus multilocus sequence typing database and define 61 genotypes and the major clonal complexes. The binary markers used were pvl, cna, sdrE, pT181, and pUB110. Two novel real-time PCR formats for interrogating these markers were compared. One of these makes use of "light upon extension" (LUX) primers and biplexed reactions, while the other is a streamlined modification of kinetic PCR using SYBR green. The latter format proved to be more robust. In addition, automated methods for DNA template preparation, reaction setup, and data analysis were developed. A single SNP-based method for ST-93 (Queensland clone) identification was also devised. The genotyping revealed the numerical importance of the "South West Pacific" and "Queensland" community-acquired methicillin-resistant S. aureus (MRSA) clones and the clonal complex 239 "Aus-1/Aus-2" hospital-associated MRSA. There was a strong association between the community-acquired clones and pvl.

Bacterial Typing Techniques↗

PubMed2005

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↗

PubMed2006

Periventricular nodular heterotopia and Williams syndrome.

We report here on the first case of a child with bilateral periventricular nodular heterotopia (PNH) and Williams syndrome. Fluorescent in situ hybridization (FISH) analyses demonstrated a deletion of the elastin gene in the Williams syndrome critical region (WSCR). Further mapping by loss of heterozygosity analysis both by microsatellite marker and SNP profiling demonstrated a 1.5 Mb deletion beyond the telomeric end of the typical WSCR. No mutations were identified in the X-linked filamin-A gene (the most common cause of PNH). These findings suggest another dominant PNH disorder along chromosome 7q11.23.

Cerebral Ventricles↗

PubMed2006

Detection of C:C mismatch base pair by fluorescence spectral change upon addition of silver (I) cation: toward the efficient analyses of single nucleotide polymorphism.

We have already found that silver (I) cation specifically binds to C:C mismatch base pair in heteroduplex, which increases the melting temperature of heteroduplex involving C:C mismatch base pair by about 4 degrees C. This result shows that addition of the metal cation is a promising strategy for the mismatch base pair detection in heteroduplex, but UV melting to determine the melting temperature is time-consuming. In the present study, to develop a more convenient way for the mismatch base pair detection, we examined the fluorescence spectral change of fluorescent-labelled duplex upon addition of the metal cation. Addition of silver (I) cation to the heteroduplex involving the C:C mismatch base pair significantly changed the fluorescence intensity, but no significant change in the fluorescence intensity was observed for the duplexes involving other base pairs. Our results certainly support the idea that the fluorescence spectral change upon the addition of the metal cation could be a convenient strategy for the mismatch base pair detection by the heteroduplex analysis, and may eventually lead to progress in SNP genotyping.

Base Pair Mismatch↗

PubMed2003

Association of a haplotype in the serotonin 5-HT4 receptor gene (HTR4) with Japanese schizophrenia.

The serotonin 5-HT(4) receptor (5-HT(4)) is implicated in cognitive function, of which impairment is hypothesized as one of the core disturbances of schizophrenia. Linkage analysis shows that 5q33.2, in which HTR4 is located, is schizophrenia-susceptibility loci. We therefore hypothesized that variation in the 5-HT(4) receptor gene (HTR4) modifies genetic susceptibility to schizophrenia. HTR4 coding regions and introns that include the branch sites of HTR4 were investigated in 96 unrelated Japanese schizophrenics using denaturing high-performance liquid chromatography analysis. One silent single nucleotide polymorphism (SNP) within the coding region and six intronic SNPs were detected. 353 + 6G > A was located in the branch site that could be effect to RNA splicing. None of the four SNPs, in which rare-allele frequencies were more than 10% was associated with 189 schizophrenics, in comparison to 299 controls. However, a highly significant association between schizophrenia and haplotype A-T (OR = 0.13 [0.03-0.58]) was detected. These findings suggest that haplotype A-T itself may inhibit the occurrence of schizophrenia, or that another susceptible genetic variants may exist within linkage disequilibrium.

DNA Mutational Analysis↗

PubMed2026

Genome-wide association study of body weight and body size traits in Langya hens.

Langya chicken is a Chinese indigenous chicken breed with high genetic diversity. To systematically analyse the genetic basis of body size traits, eight traits (including BW, comb shape, and body size) of 2 952 Langya hens were measured at 130 days of age and at first egg of age. A total of 9 708 856 high-quality single-nucleotide polymorphisms (SNPs) were obtained through whole-genome resequencing and used for subsequent genetic parameter estimation and genome-wide association study (GWAS). The results of genetic parameter analysis revealed significant differences in the SNP heritability of different body size traits, with an overall range of 0.13-0.64. In particular, BW, comb length, comb height, and tibia length exhibited moderate-to-high heritability (0.34-0.64) during both developmental stages. GWAS revealed significantly associated SNP loci distributed across multiple chromosomal regions, indicating that body size traits have a complex multilocus genetic regulatory structure and that some chromosomal regions recur for different body size traits and during different developmental stages, showing potential pleiotropic effects or shared genomic regions. Notably, multiple stable body size trait-associated regions were identified on Gallus gallus autosome (GGA) 1, 4, and 27, including genomic regions on GGA1 (167.56-178.18 Mb), GGA4 (68.24-81.17 Mb), and GGA27 (5.22-6.73 Mb), in which significantly associated signals were repeatedly detected for multiple body size traits, such as BW and tibia length. The significant SNPs in the above regions were characterised by strong linkage disequilibrium and were associated with multiple body size traits, indicating that these SNPs may serve as important genetic hotspots for the regulation of chicken body shape and structure. Candidate genes annotated in these core regions include NCAPG, KPNA3, LDB2, PPARGC1A, FNDC3A, SOST, RB1, STON2, and TARP; the functions of these genes are involved mainly in the regulation of cell proliferation, energy metabolism, bone development, and tissue growth. NCAPG was consistently associated with multiple traits at both developmental stages. Functional enrichment analysis further revealed that these candidate genes were significantly enriched in the phosphatidylinositol, GnRH, energy metabolism, skeletal development and protein biosynthesis signalling pathways. The genetic characteristics of Langya chicken body size traits during the growth stage at the genome-wide level and the underlying molecular mechanisms were systematically revealed in this study. The findings provide important candidate gene resources and a theoretical basis for the screening of molecular markers for body size traits and the genomic breeding of regional chicken breeds.

Candidate genes↗

PubMed2001

Predicting quantitative trait levels by modeling SNP interaction.

Predicting phenotype from genotype is difficult when the phenotype is affected by a gene with numerous weakly penetrant alleles that differ only in the pattern of their single nucleotide polymorphisms (SNPs). While it is probable that SNP interactions affect phenotype, to our knowledge no one has determined the most effective way of evaluating whether SNPs interact and of modeling the interaction. Therefore, to explore this issue, we investigate here three methods of modeling SNP interaction using data from Genetic Analysis Workshop 12. Since major gene 5 (MG5) has sequence information and explains 37% of the variation in quantitative trait 5 (Q5), we focus on using SNPs within MG5 to predict Q5 among individuals who married into the pedigree. As a preliminary screening step, we reduced the number of SNPs from 269 to 34 based on their association with Q5. In our first models we assumed that SNPs affected Q5 in a simple additive manner. These models explained 34% and 15% of the variation in Q5 in women and men, respectively. Our second model was a linear model, which used individual SNPs and simple interaction terms as predictors. These models explained 36% and 16% of the variation in Q5 levels for women and men, respectively. Our last model was a "hit"-based model which was motivated by the hypothesis that disequilibrium between SNPs may reflect the fact that SNPs affect phenotype by acting in concert with other SNPs within their "disequilibrium set." Thus, the number of hits within the disequilibrium sets were used as predictors. These models explained 35% and 19% of the variation in Q5 for women and men, respectively. Our results suggest that phenotype can be predicted from complex patterns of weakly penetrant SNPs using relatively simple models. We concluded that SNP interaction either was not included in the simulation model, or had only a weak impact on Q5 levels.

Female↗

PubMed2001

A novel single-nucleotide polymorphism at the 5'-flanking region of SAA1 associated with risk of type AA amyloidosis secondary to rheumatoid arthritis.

OBJECTIVE: To address whether the gamma haplotype at exon 3 of the SAA1 gene is directly associated with type AA amyloidosis or is merely in linkage with an unknown polymorphism that is primarily associated with disease risk, we examined the SAA1 gene for new polymorphisms. METHODS: We analyzed DNA samples from 44 rheumatoid arthritis (RA) patients with AA amyloidosis (amyloid group), 55 RA patients without AA amyloidosis (RA group), and 58 non-RA healthy subjects (non-RA group). We also examined DNA samples from 50 Caucasians to compare linkage disequilibrium relationships involving SAA1 region polymorphisms between Japanese and Caucasoid populations. RESULTS: We observed 3 novel single-nucleotide polymorphisms (SNPs) in the 5'-flanking region of SAA1: -61C/G, -13T/C, and -2G/A. Comparison of allele frequencies and ratios of individuals with particular alleles between the study groups revealed statistically significant differences between the amyloid and RA groups and between the amyloid and non-RA groups. Statistical analysis revealed that the -13T/C SNP was strongly associated with AA amyloidosis. In addition, we found tight linkage between the -13T allele and the alpha haplotype, rather than the beta haplotype, at exon 3 in the Caucasoid population, while -13T was closely linked to the gamma and beta haplotypes, rather than the alpha haplotype, in the Japanese population. Since the linkage disequilibrium relationship was reversed between the Japanese and Caucasoid populations, different exon 3 haplotypes of SAA1 are found to be associated with the risk of AA amyloidosis in different ethnic groups. CONCLUSION: Our data suggest that the SAA1 -13T allele, rather than SAA1 exon 3 haplotypes, is primarily associated with AA amyloidosis risk.

Amyloidosis↗

PubMed2006

Association between phosphodiesterase 4D gene and ischaemic stroke.

BACKGROUND: An association between the phosphodiesterase 4D (PDE4D) gene and risk of ischaemic stroke in an Icelandic population has been suggested by the deCODE group. METHODS: A case-control study of 151 hospitalised patients with first-ever ischaemic stroke and 164 randomly selected age-matched and sex-matched community controls was conducted. PDE4D genotypes for the six single-nucleotide polymorphisms (SNPs) previously reported to be independently associated with stroke were determined, common haplotypes were inferred using the expectation-maximisation algorithm, and SNP and haplotype associations with stroke were examined. A meta-analysis of published studies examining the association between PDE4D and stroke was also carried out. RESULTS: Our study of Australian patients with stroke showed an independent association between ischaemic stroke and PDE4D SNP 89 (CC: odds ratio (OR) 5.55, 95% confidence interval (CI) 1.02 to 30.19; CA: OR 1.68, 95% CI 0.96 to 2.96; AA: OR 1 (reference)), SNP 87 (CC: OR 2.13, 95% CI 1.08 to 4.20; TC: OR 1.64, 95% CI 0.89 to 3.00; TT: OR 1 (reference)) and SNP 83 (TT: OR 2.16, 95% CI 1.08 to 4.32; TC: OR 1.37, 95% CI 0.77 to 2.43; CC: OR 1 (reference)), and between ischaemic stroke and PDE4D haplotypes at SNP 89-87-83 (A-C-C: OR 2.13, 95% CI 1.15 to 3.96; C-C-T: OR 2.25, 95% CI 1.29 to 3.92), but no association between ischaemic stroke and PDE4D SNP 56, SNP 45 or SNP 41, or with PDE4D haplotypes at SNP 56-45-41. A meta-analysis of nine case-control studies (including our current results) of 3808 stroke cases and 4377 controls confirmed a significant association between stroke and PDE SNP 87 (pooled p = 0.002), SNP 83 (0.003) and SNP 41 (0.003). However, there was statistical heterogeneity (p < 0.1) among the studies in the direction of association for each of the individual SNPs tested. CONCLUSIONS: Our results and the pooled analyses from all the studies indicate a strong association between PDE4D and ischaemic stroke. This strengthens the evidence that PDE4D plays a key part in the pathogenesis of ischaemic stroke. Heterogeneity among the studies in the direction of association between individual SNPs and stroke suggests that the SNPs tested are in linkage disequilibrium with the causal allele(s).

3',5'-Cyclic-AMP Phosphodiesterases↗

PubMed2005

[Detection for single nucleotide polymorphisms].

As the third generation of genetic markers SNPs (single nucleotide polymorphisms) has been used extensively in gene mapping,disease-correlativity analysis ,population genetics and drug research. Here methods for detection are reviewed. Most SNP genotyping are a combination of method for interrogating SNPs and analysis technique.It described both parts and give a outlook for detection.

Fluorescence Polarization↗

PubMed2002

Applications of single nucleotide polymorphisms in crop genetics.

The discovery of single nucleotide polymorphisms (SNPs) and insertions/deletions, which are the basis of most differences between alleles, has been simplified by recent developments in sequencing technology. SNP discovery in many crop species, such as corn and soybean, is relatively straightforward because of their high level of intraspecific nucleotide diversity, and the availability of many gene and expressed sequence tag (EST) sequences. For these species, direct readout of SNP haplotypes is possible. Haplotype-based analysis is more informative than analysis based on individual SNPs, and has more power in analyzing association with phenotypes. The elite germplasm of some crops may have been subjected to bottlenecks relatively recently, increasing the amount of linkage disequilibrium (LD) present and facilitating the association of SNP haplotypes at candidate gene loci with phenotypes. Whole-genome scans may help identify genome regions that are associated with interesting phenotypes if sufficient LD is present. Technological improvements make the use of SNP and indel markers attractive for high-throughput use in marker-assisted breeding, EST mapping and the integration of genetic and physical maps.

Base Sequence↗

PubMed2004

The dysbindin gene in major depression: an association study.

The pathophysiological mechanisms, as well as the molecular loci of antidepressant drug action have not yet been established, but recent models proposed that several adaptive mechanisms in signal transduction cascades beyond the receptor and reuptake systems are involved in antidepressant action and play an important role in the etiology of affective disorders. In this context, the dysbindin gene (dystrobrevin-binding-protein 1, DTNBP1), which was recently reported to be associated with schizophrenia seems to be an interesting candidate gene for affective disorders. Dysbindin is widely expressed in the human brain and binds to the dystrophin-associated protein complex (DPC) which appears to be involved in signal transduction pathways, which have been repeatedly investigated and described as altered or disturbed in affective disorders [McLeod et al. [2003: Psychopharmacol Bull 35:24-41]; Brambilla et al. [2003: Mol Psychiatry 8:721-737]]. Therefore, we investigated whether five SNPs in the dysbindin gene could be susceptibility factors in the ethiology of major depression or for the response to antidepressant treatment in a sample of 293 patients compared to 220 healthy controls. Applying single SNP evaluation, as well as haplotype analysis we could not detect an association between the dysbindin polymorphisms and major depression or the response to antidepressant treatment. In conclusion, our results suggest that SNPs in the dysbindin gene are unlikely to play a major role in the pathophysiology of major depression or are in linkage disequilibrium (LD) with a neighboring mutation or gene. Further analysis are needed to confirm these results.

Adult↗

PubMed2005

Failure to confirm association between RGS4 haplotypes and schizophrenia in Caucasians.

The regulator of G-protein signaling (RGS) and RGS-like proteins are a diverse family of over 30 molecules that function as GTPase activating proteins for Galpha subunits of the Gq and Gi families of heterotrimeric guanine nucleotide-binding proteins (G proteins). By accelerating GTPase activity, RGS proteins drive G proteins into their inactive GDP-bound forms. G-protein coupled dopamine, metabotropic glutamate, and other neurotransmitter receptors can be modulated by RGS4, the predominant form in brain. The recent finding of decreased RGS4 mRNA expression in post-mortem brains from schizophrenic patients, coupled with the map position of RGS4 to a region previously linked to schizophrenia, as well as other biological data, prompted the investigation of the gene as a disease candidate. Multiple family-based and case-control association studies have been conducted, with modest and conflicting support for particular single nucleotide polymorphism (SNP) markers and SNP marker haplotypes. The present case-control analysis of 568 patients and 689 controls, one of the largest single studies to date, failed to confirm support for association of particular RGS4 SNP alleles, or for association of any particular four, three, or two SNP haplotype.

Adult↗

PubMed2006

Mutational screening of the CYP26A1 gene in patients with caudal regression syndrome.

BACKGROUND: The retinoic acid (RA)-catabolizing enzyme Cyp26a1 plays an important role in protecting tailbud tissues from inappropriate exposure to RA. Cyp26a1-null animals exhibit caudal agenesis and spina bifida, imperforate anus, agenesis of the caudal portions of the digestive and urogenital tracts, and malformed lumbosacral skeletal elements. This phenotype closely resembles the most severe form of caudal agenesis in humans. In view of these findings, we investigated a potential involvement of the human CYP26A1 gene in the pathogenesis of caudal regression syndrome (CRS). METHODS: Mutational screening of 49 CRS patients and 132 controls was performed using denaturing high-performance liquid chromatography and sequencing. Differences in the genotype and allele frequency of each SNP were evaluated by chi(2) analysis. The biological significance of the intronic variants was investigated by transfection assays of mutant constructs and by analysis of the splicing patterns with RT-PCR. RESULTS: Mutational screening allowed us to identify 6 SNPs, 4 of which (447 C>G, 1134 G>A, IVS 1+10 G>C, and IVS 4+8 AG>GA) are new. In addition, we describe a novel 2-site haplotype consisting of the 2 intronic SNPs. Both single-locus and haplotype analyses revealed no association with increased risk for CRS. The consequences of the 2 intronic polymorphisms on the mRNA splicing process were also investigated. Moreover, using functional and computational methods we demonstrated that both of these intronic polymorphisms affect the intron splicing efficiency. CONCLUSIONS: Our research did not provide evidence that CYP26A1 has implications for the pathogenesis of human CRS. However, the relationship between CRS risk and the CYP26A1 genotype requires further study with a larger number of genotyped subjects.

Cytochrome P-450 Enzyme System↗