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RAD-Seq-derived SNPs reveal no local population structure in the commercially important deep-sea queen snapper (Etelis oculatus) in Puerto Rico.

UNLABELLED: The queen snapper (Etelis oculatus Valenciennes in Cuvier & Valenciennes, 1828) is a deep-sea snapper whose commercial importance continues to increase in the US Caribbean. However, little is known about the biology and ecology of this species. In this study, the presence of a fine-scale population structure and genetic diversity of queen snapper from Puerto Rico was assessed through 16,188 SNPs derived from the Restriction site Associated DNA Sequencing (RAD-Seq) technique. Summary statistics estimated low genetic diversity (HO = 0.333-0.264) and did not reveal population differentiation within our samples (F ST = - 0.001-0.025). Principal component analysis and a model-based clustering method did not detect a fine-scale subpopulation structure among sampling sites, however, there was genetic variability within regions and sites. Our results have revealed comparable genetic and dispersal patterns to those observed in other shallow-water snapper species in Puerto Rico waters. It is crucial to further enhance our understanding of the ecological and biological aspect of the queen snapper to effectively manage and conserve this species as fishing pressure has been extended to deep water species in the US Caribbean. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42995-025-00289-7.

Caribbean Fisheries↗

SNPs and haplotypes in the S100B gene reveal association with schizophrenia.

The S100B gene locates in 21q22.3 and produces neurotrophin mainly in astrocytes of CNS which can act as an extensive marker of glial cell integrity. The synaptic destabilization hypothesis (GGF/SD) suggests that the functional deficiency of growth factors like S100B is involved in the etiology of schizophrenia and the S100B serum concentration is reported to be significantly increased in patients with acute schizophrenia and decreased in chronic schizophrenia patients. To validate the association between S100B and schizophrenia, 384 cases and 401 controls, all Chinese Han subjects, were recruited. Four SNPs V1 (-960C>G), V2 (-111C>T), V3 (2757C>G, rs1051169), and V4 (5748C>T, rs9722) were studied. And haplotype V3-V4 (G-C) showed a significant association with schizophrenia. Our study showed an association between schizophrenia and a possible susceptible haplotype V3-V4 (G-C) which possesses a genetic tendency for increased S100B expression. Our results suggest that S100B could be a susceptible gene for schizophrenia and provide indirect evidence for the GGF/SD hypothesis.

Adult↗

Functional SNPs of the breast cancer resistance protein-therapeutic effects and inhibitor development.

Breast cancer resistance protein (BCRP) is a half-molecule ATP-binding cassette transporter that pumps out various anticancer agents such as 7-ethyl-10-hydroxycamptothecin, topotecan and mitoxantrone. We have previously identified three polymorphisms within the BCRP gene, G34A (substituting Met for Val-12), C376T (substituting a stop codon for Gln-126) and C421A (substituting Lys for Gln-141). C421A BCRP-transfected murine fibroblast PA317 cells showed markedly decreased protein expression and low-level drug resistance when compared with wild-type BCRP-transfected cells. In contrast, G34A BCRP-transfected PA317 cells showed a similar protein expression and drug resistance profile to wild-type. The C376T polymorphism would be expected to have a considerable impact as active BCRP protein will not be expressed from a T376 allele. Hence, people with C376T and/or C421A polymorphisms may express low levels of BCRP, resulting in hypersensitivity of normal cells to BCRP-substrate anticancer agents. Estrogens, estrone and 17beta-estradiol, were previously found to restore drug sensitivity levels in BCRP-transduced cells by increasing the cellular accumulation of anticancer agents. BCRP transports sulfated estrogens but not free estrogens and in a series of screening experiments for synthesized and natural estrogenic compounds, several tamoxifen derivatives and phytoestrogens/flavonoids were identified that effectively circumvent BCRP-mediated drug resistance. The kinase inhibitors gefitinib and imatinib mesylate also interact with BCRP. Gefitinib, an inhibitor of epidermal growth factor receptor-tyrosine kinase, inhibits its transporter function and reverses BCRP-mediated drug resistance both in vitro and in vivo. BCRP-transfected human epidermoid carcinoma A431 cells and BCRP-transfected human non-small cell lung cancer PC-9 cells show gefitinib resistance. Imatinib, an inhibitor of BCR-ABL tyrosine kinase, also inhibits BCRP-mediated drug transport. Hence, both functional SNPs and inhibitors of BCRP reduce its transporter function and thus modulate substrate pharmacokinetics and pharmacodynamics.

ATP Binding Cassette Transporter, Subfamily G, Mem↗

Development of multiplex PCRs for evolutionary and forensic applications of 37 human Y chromosome SNPs.

This work describes an efficient and rapid test for typing 37 single nucleotide polymorphisms (SNPs) of the non-recombining region of Y chromosome (NRY) from a minimal amount of DNA using six PCR multiplexes. Markers were drawn following a hierarchical strategy based on the phylogenetic tree of Y chromosome proposed by the Y Chromosome Consortium [The Y Chromosome Consortium, A nomenclature system for the tree of human Y-chromosomal binary haplogroups, Genome Res. 12 (2002) 339-348]. Two multiplexes--arbitrarily named MY1 and MY2--were developed to explore the basal branches of the tree encompassing all the major clades A-R: MY1 for markers M35, M89, M172, M170, M9, M173, M45 and MY2 for markers M52, M216, M174, M181, M201, M91, M96, M214. Four multiplexes able of typing the more superficial branches typical of most frequent European haplogroups E3b, J2, R1 and I, were also developed and named MY-E3b (M78, M107, M224, M165, M148, M81), MY-J2 (M158, M68, M47, M102, M137, M67), MY-R1 (M17, M269, M18, P25, SRY10831.2) and MY-I (M72, M223, M26, M21, M161). SNP genotyping was carried out by hot-start PCR amplification with primers yielding fragments between 63 and 210 nucleotides, followed by minisequencing reaction based on dideoxy single-base extension and capillary electrophoresis of extension products. The sequential application of these multiplexes is a robust and effective resource for typing the most frequent European Y-SNP haplogroups, and appears to be suitable for forensic purposes and evolutionary studies.

Chromosomes, Human, Y↗

Could single-nucleotide polymorphisms (SNPs) affecting the tumour necrosis factor promoter be considered as part of rheumatoid arthritis evolution?

Tumour necrosis factor (TNF), a cytokine mainly produced by macrophages, is associated with a broad spectrum of biological effects, mainly associated with the host defense against microbes. The TNF gene is located on chromosome six within the major histocompatibility complex (MHC). Rheumatoid arthritis (RA) is a systemic autoimmune disease where TNF plays a central role in its etiology and pathogenesis. Written medical evidence of RA can be traced at least as far back as the 17th century, while human paleopathological studies appear to show the presence of RA prior to this period. The fact that RA has experienced an increment both in severity and mortality could be explained by many causes, particularly the crucial role of the immune system. Single-nucleotide polymorphisms (SNPs) are the most common genetic variations and occur at a frequency of approximately 1 in 1000 bp throughout the genome. The -308 TNF SNP is a mutation that affects the promoter region of the TNF gene. It defines the TNF1 and TNF2 alleles, determining low and high levels of TNF expression, respectively. The presence of the TNF2 allele has also been linked to increased susceptibility to and severity in a variety of autoimmune and inflammatory disorders, including RA, systemic lupus erythematosus, and ankylosing spondylitis. Studies on the functional significance of -308 SNP have detected higher levels of TNF production by cells from TNF2-carrying individuals than cells from TNF1 individuals. This difference does not appear to be due to other genes lying within the MHC region. Since the presence of the TNF2 allele may increase the host's resistance to local infection, by increasing local production of TNF at the infection site, we may suggest that such a mutation has emerged as a selective advantage to carriers of the TNF2 allele. This hypothesis may prove itself by observing the high incidence of tuberculosis and other infectious processes in those patients treated with anti-TNF therapy. Since the human lifespan has increased, the persistence of the TNF2 allele at high frequency in the population now confers what appears to be a marked survival disadvantage. As a result of the disregulation of the immune system, the genetically-predisposed host expresses larger amounts of TNF, leading to chronic inflammatory processes and autoimmune diseases, currently more prevalent. We suggest that RA, a relatively new and increasingly frequent disease, is favored by the presence of the -308 TNF promoter polymorphism, responsible for increased TNF production.

Animals↗

Scale invariant correlations between genes and SNPs on Human chromosome 1 reveal potential evolutionary mechanisms.

The local density of gene structures and single nucleotide polymorphisms (SNPs) along human chromosomes appears inhomogeneous. In chromosome 1, the density patterns from both these elements are shown here to exhibit similar scale invariant clustering, as well as long-ranged and scale invariant auto- and cross-correlations. The local densities of these elements sites can be accurately represented by the scale invariant exponential dispersion models, a group of stochastic models that act as limiting distributions for a wide range of generalized linear models. The scale invariant Poisson-gamma (PG) distribution is the most applicable of these models, since it describes the above findings and it lends itself to a stochastic mechanism for the accumulation of segmental chromosomal changes. This PG model describes the summation of neutral chromosomal mutations, deletions, rearrangements and recombinations, within chromosomal segments that are distinguished by their evolutionary genealogies. Scale invariance is a necessary property if such a description is to remain valid at different measurement scales. The observed density patterns, and proposed model, presumably represent the convergent summation of multiple stochastic processes within the evolutionary history of the chromosome.

Chromosomes, Human, Pair 1↗

Genotyping of triallelic SNPs using TaqMan PCR.

Methods for analysis of single nucleotide polymorphisms (SNP) are well developed. However, most ready-made SNP genotyping kits (e.g., those that use TaqMan PCR) are based on the assumption that the SNP is biallelic. Thus, most kits are unsuitable for triallelic SNPs. We have experienced difficulty genotyping an SNP using TaqMan PCR. In the present study, we developed a method of genotyping a triallelic SNP (rs3091244: alleles C, A and T) using TaqMan PCR. We used 2 different genotyping kits: one for C/A allele genotyping, and one for C/T allele genotyping. The results of these 2 kits were combined to complete the genotyping. The subjects were 320 essentially healthy elderly Japanese. The frequencies of the C, A and T alleles were 0.78, 0.155 and 0.065, respectively. This double-tube method using TaqMan SNP Genotyping Assays was very accurate and convenient, and it should be useful for genotyping in case-control association studies or linkage studies.

Aged↗

Gene therapy for the circumvention of inborn errors of metabolism (IEM) caused by single-nucleotide-polymorphisms (SNPs).

Single nucleotide polymorphisms (SNPs) are the result of point mutations in nuclear (and mitochondrial) DNA. Such localised damage to DNA (and its replicative mechanisms) may not be excised fully by the DNA repair mechanism in the genome: and therefore can become inheritable; subsequently to manifest later as an inborn error of metabolism (IEM). Causes of mutagenic damage to the DNA can include background radiation (such as emitted by radon gas), and by reactive oxygen species (ROS): and also by mutagenic chemicals that occur naturally (inter alia in the diet). Other causes of DNA damage are variable environmental hazards such as solar-derived short wave ultraviolet light A. Gene therapy involves the placement of missing genes into particular tissues by the harnessing of suitable vectors (originally these were animal viruses such as SV40). For example, gene therapy in the rat for diabetes has succeeded by liver-production of insulin (using genes obtained from pancreatic Islets of Langerhans cells). Many inborn errors of metabolism could be treated in this way: examples may include 100 haemoglobinopathies (such as sickle cell anaemia), phenylketonuria; and other diseases caused by lack of tissue-production of a particular enzyme (in its catalytically-active conformation).

Diabetes Mellitus↗

Radiation-induced germline mutations detected by a direct comparison of parents and first-generation offspring DNA sequences containing SNPs.

Germline mutation induction has been detected in mice but not in humans. To estimate the genetic risk of germline mutation induction in humans, new techniques for extrapolating from animal data to humans or directly detecting radiation-induced mutations in man are expected to be developed. We have developed a new method to detect germline mutations by directly comparing the DNA sequences of parents and first-generation offspring. C3H male mice were irradiated with gamma-rays of 3, 2 and 1 Gy and 3 weeks later were mated with C57BL female mice of the same age. The nucleotide sequences of 160 UniSTS markers containing 300-900 bp and SNPs of the DNA of parent and offspring mice were determined by direct sequencing. At each dose of radiation, a total of 5 Mb DNA sequences were examined for radiation-induced mutations. We found 7 deletions in 3 Gy-irradiated mice, 1 deletion in 2 Gy-irradiated mice, 1 deletion in 1 Gy-irradiated mice and no mutations in control mice. The maximum mutation frequency was 2.0 x 10(-4)/locus/Gy at 3 Gy, and these results suggested that a non-linear increase of mutations with dose.

Animals↗

Association study of four activity SNPs of CYP3A4 with the precocious puberty in Chinese girls.

CYP3A4 plays an important role in the metabolism of a variety of endogenous and exogenous compounds. Earlier studies revealed that a high-activity variation of the CYP3A4 gene, CYP3A4*1B is significantly associated with the precocious puberty in girls. Other three variations, CYP3A4*4, CYP3A4*5 and CYP3A4*6, which were found in a study carried out in a Chinese population in Taiwan, were reported to down-regulate the enzymatic activity of CYP3A4. The four activity SNPs were typed in our study in two groups of Chinese girls: 176 girls with precocious puberty as the case group, and 192 normal girls as the control group. No variations of CYP3A4*1B and CYP3A4*4 were found in all the cases and controls. Heterozygous of CYP3A4*5 was found in five subjects of the 192 controls but none in the cases, heterozygous of CYP3A4*6 was found in two subjects of the controls but none in the cases. Fisher's exact test showed that the variation of CYP3A4*5 was associated with the onset of puberty in Chinese girls (P-trend=0.038), while the variation of CYP3A4*6 was not associated with the onset of puberty in Chinese girls (P-trend=0.272). The result suggests that these mutations in the CYP3A4 gene have no contribution to the early onset of puberty in Chinese girls, but are related in some way with the puberty development in Chinese girls.

Alleles↗

Fixation biases affecting human SNPs.

Under neutrality all classes of mutation have an equal probability of becoming fixed in a population. In this article, we describe our analysis of the frequency distributions of >5000 human SNPs and provide evident of biases in the process of fixation of certain classes of point mutation that are most likely to be attributable to biased gene conversion. The results indicate an increased fixation probability of mutations that result in the incorporation of a GC base pair. Furthermore, in transcribed regions this process exhibits strand asymmetry, and is biased towards preserving a G base on the coding strand. Biased gene conversion has the potential to explain both existence of isochores and the compositional asymmetry in mammalian transcribed regions.

Alleles↗

A Standard Reference Material to determine the sensitivity of techniques for detecting low-frequency mutations, SNPs, and heteroplasmies in mitochondrial DNA.

Human mitochondrial DNA (mtDNA) mutations are important for forensic identifications and mitochondrial disease diagnostics. Low-frequency mutations, heteroplasmies, or SNPs scattered throughout the DNA in the presence of a majority of mtDNA with the Cambridge Reference Sequence (CRS) are almost impossible to detect. Therefore, the National Institute of Science and Technology has developed heteroplasmic human mtDNA Standard Reference Material (SRM) 2394 to allow scientists to determine their sensitivity in detecting such differences. SRM 2394 is composed of mixtures ranging from 1/99 to 50/50 of two 285-bp PCR products from two cell lines that differ at one nucleotide position. Twelve laboratories using various mutation detection methods participated in a blind interlaboratory evaluation of a prototype of SRM 2394. Most of these procedures were unable to detect the mutation when present below 20%, an indication that, in many real-life cases, low-frequency mutations remain undetected and that more sensitive mutation detection techniques are urgently needed.

Cells, Cultured↗

SNPs and snails and puppy dogs' tails: analysis of SNP haplotype data using the gamete competition model.

The gamete competition model is a likelihood version of the transmission disequilibrium test (TDT) that is inspired by conditional logistic regression and the Bradley-Terry ranking procedure. In family-based association studies, both the TDT and the gamete competition model apply directly to data on a single nucleotide polymorphism (SNP). Because any given SNP has limited polymorphism, it is tempting to collect several SNPs within a gene into a single super marker whose alleles are haplotypes. Unfortunately, this tactic wreaks havoc with the traditional TDT, which requires codominant markers (Spielman et al. 1993; Terwilliger & Ott, 1992). Eliminating phase ambiguities by assigning haplotypes to individuals before conducting the TDT may give misleading results because only the most probable haplotypes are then considered. Because pedigree implementations of the gamete competition model can accommodate dominant as well as codominant markers, they circumvent the phase problem by including all possible phases weighted by their estimated frequencies.

Germ Cells↗

Reliable identification of large numbers of candidate SNPs from public EST data.

High-resolution genetic analysis of the human genome promises to provide insight into common disease susceptibility. To perform such analysis will require a collection of high-throughput, high-density analysis reagents. We have developed a polymorphism detection system that uses public-domain sequence data. This detection system is called the single nucleotide polymorphism pipeline (SNPpipeline). The analytic core of the SNPpipeline is composed of three components: PHRED, PHRAP and DEMIGLACE. PHRED and PHRAP are components of a sequence analysis suite developed to perform the semi-automated analysis required for large-scale genomes (provided courtesy of P. Green). Using these informatics tools, which examine redundant raw expressed sequence tag (EST) data, we have identified more than 3,000 candidate single-nucleotide polymorphisms (SNPs). Empiric validation studies of a set of 192 candidates indicate that 82% identify variation in a sample of ten Centre d'Etudes Polymorphism Humain (CEPH) individuals. Our results suggest that existing sequence resources may serve as a valuable source for identifying genetic variation.

Algorithms↗

The value of gene-based selection of tag SNPs in genome-wide association studies.

Genome-wide association scans are rapidly becoming reality, but there is no present consensus regarding genotyping strategies to optimise the discovery of true genetic risk factors. For a given investment in genotyping, should tag SNPs be selected in a gene-centric manner, or instead, should coverage be optimised based on linkage disequilibrium alone? We explored this question using empirical data from the HapMap-ENCODE project, and we found that tags designed specifically to capture common variation in exonic and evolutionarily conserved regions provide good coverage for 15-30% of the total common variation (depending on the population sample studied), and yield genotype savings compared with an anonymous tagging approach that captures all common variation. However, the same number of tags based on linkage disequilibrium alone captures substantially more (30-46%) of the total common variation. Therefore, the best strategy depends crucially on the unknown degree to which functional variation resides in recognisable exons and evolutionarily conserved sequence. A hypothetical but reasonable scenario might be one in which trait-causing variation is equally distributed between exons plus conserved sequence, and the rest of the genome. In this scenario, our analysis suggests that a tagging approach that captures variation in exons and conserved sequence provides only modestly better coverage of putatively causal variation than does anonymous tagging. In HapMap CEU samples (with northern and western European ancestry), we observed roughly equivalent coverage for equal investment for both tagging strategies.

Databases, Nucleic Acid↗

Application of SNPs for assessing biodiversity and phylogeny among yeast strains.

We examined the efficacy of single-nucleotide polymorphism (SNP) markers for the assessment of the phylogeny and biodiversity of Saccharomyces strains. Each of 32 Saccharomyces cerevisiae strains was genotyped at 30 SNP loci discovered by sequence alignment of the S. cerevisiae laboratory strain SK1 to the database sequence of strain S288c. In total, 10 SNPs were selected from each of the following three categories: promoter regions, nonsynonymous and synonymous sites (in open reading frames). The strains in this study included 11 haploid laboratory strains used for genetic studies and 21 diploids. Three non-cerevisiae species of Saccharomyces (sensu stricto) were used as an out-group. A Bayesian clustering-algorithm, Structure, effectively identified four different strain groups: laboratory, wine, other diploids and the non-cerevisiae species. Analysing haploid and diploid strains together caused problems for phylogeny reconstruction, but not for the clustering produced by Structure. The ascertainment bias introduced by the SNP discovery method caused difficulty in the phylogenetic analysis; alternative options are proposed. A smaller data set, comprising only the nine most polymorphic loci, was sufficient to obtain most features of the results.

Biodiversity↗

DRD4 promoter SNPs and gender effects on Extraversion in African Americans.

There is strong evidence for genetic influences on personality traits. Interest in one such gene, the dopamine D4 receptor (DRD4) grew after an exon III polymorphism was associated with Novelty Seeking and related measures of Extraversion. However, the findings were not confirmed in later studies. Recently, a -521C/T single nucleotide polymorphism (SNP) within the promoter region of the DRD4 gene was found to be related to Novelty Seeking scores in populations from Japan and Hungary. Since little is known about the role DRD4 plays in personality in other populations we evaluated if two DRD4 promoter SNPs, -521C/T and -616C/G, were related to personality traits in African Americans. Personality traits were measured by the NEO-FFI in 71 unrelated African Americans. Genotyping was performed using PCR-RFLP. Multivariate analyses of variance (MANOVA) were performed to evaluate the effects of gender and -616 and -521 genotypes on personality traits. A significant three-way interaction effect from gender, -616 genotype, and -521 genotype was observed for Extraversion scores (F(1,54) 5.86, P < 0.02). Subsequent analyses revealed that the association was mainly due to -521C/T genotype among females (P = 0.01). This study provides further evidence that genetic variation within the DRD4 promoter and gender differences contribute to variation in Novelty Seeking behaviors such as Extraversion.

Adult↗

Sequence variations in the UDP-glucuronosyltransferase 2B7 (UGT2B7) gene: identification of 10 novel single nucleotide polymorphisms (SNPs) and analysis of their relevance to morphine glucuronidation in cancer patients.

We have screened a cohort of 239 Norwegian cancer patients for sequence variation in the coding and regulatory regions of the UDP-glucuronosyltransferase 2B7 gene (UGT2B7) and analyzed the impact of gene variants on morphine glucuronidation in vivo. In all, 12 single nucleotide polymorphisms (SNPs) were identified, 10 of which have not been previously described. Only one SNP causes a change in amino acid sequence (H268Y). Seven UGT2B7 genotypes were observed and three main haplotypes predicted. There was no correlation between UGT2B7 genotype or haplotype and morphine glucuronide to morphine serum ratios among 175 patients who received chronic oral morphine therapy, and who had normal renal and hepatic function. The apparent lack of functional polymorphisms fits well with the near unimodal, but broad, distributions of the ratios (morphine 3-glucuronide/morphine: 6.4-309.2; morphine 6-glucuronide/morphine: 0.5-72.8). Our results suggest that factors other than UGT2B7 polymorphism may be more deciding for the variability in morphine glucuronide to morphine serum ratios.

Adult↗