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PubMed2005

MilkProtChip--a microarray of SNPs in candidate genes associated with milk protein biosynthesis--development and validation.

MilkProtChip is an oligonucleotide microarray based on the arrayed primer extension (APEX) technique, allowing genotyping of single nucleotide polymorphisms (SNPs) in genes of interest for bovine milk protein biosynthesis. APEX consists of a sequencing reaction primed by an oligonucleotide anchored with its 5'end to a glass slide and terminating one nucleotide before the polymorphic site. The extension with one fluorescently labeled dideoxy nucleotide complementary to the template reveals the polymorphism. A total of 75 SNPs were selected among those associated directly or potentially with milk protein content. Among the 75 SNPs, 4 did not produce a positive signal. Most of the remaining SNPs produced a signal for both strands, except for 4 (one strand). In the validation step, 12 Polish Holstein bulls, 1 Polish Red bull, 1 bison (Bison bonasus), 11 Jersey cows and 25 Polish Holstein cows were screened to validate SNPs. Among the 71 selected SNPs--26 were found monoallelic, the rest showing at least two genotypes for the entire population under study. All the animals were earlier genotyped for 2-5 SNPs by PCR-RFLP and PCR sequencing and all showed complete concordance with APEX genotyping. APEX reactions showed relatively high signal frequencies: more than 0.9, 0.9-0.8 and below 0.8, for 65, 4 and 2 DNA samples, respectively. The primary application of the MilkProtChip is the simultaneous genotyping of dozens of SNPs to reveal and clarify the genetic background of milk protein biosynthesis. The chip may possibly be used for dairy cattle identification and paternity analysis, evolutionary studies, the evaluation of genetic distances between wild and domestic cattle breeds and the domestication history of bovine species.

Animals↗
PubMed2004

SNPs, haplotypes, and model selection in a candidate gene region: the SIMPle analysis for multilocus data.

Modern molecular techniques make discovery of numerous single nucleotide polymorphims (SNPs) in candidate gene regions feasible. Conventional analysis relies on either independent tests with each variant or the use of haplotypes in association analysis. The first technique ignores the dependencies between SNPs. The second, though it may increase power, often introduces uncertainty by estimating haplotypes from population data. Additionally, as the number of loci expands for a haplotype, ambiguity in interpretation increases for determining the underlying genetic components driving a detected association. Here, we present a genotype-level analysis to jointly model the SNPs via a SNP interaction model with phase information (SIMPle) to capture the underlying haplotype structure. This analysis estimates both the risk associated with each variant and the importance of phase between pairwise combinations of SNPs. Thus, rather than selecting between genotype- or haplotype-level approaches, the SIMPle method frames the analysis of multilocus data in a model selection paradigm, the aim to determine which SNPs, phase terms, and linear combinations best describe the relation between genetic variation and a trait of interest. To avoid unstable estimation due to sparse data and to incorporate both the dependencies among terms and the uncertainty in model selection, we propose a Bayes model averaging procedure. This highlights key SNPs and phase terms and yields a set of best representative models. Using simulations, we demonstrate the utility of the SIMPle model to identify crucial SNPs and underlying haplotype structures across a variety of causal models and genetic architectures.

Bayes Theorem↗
PubMed2002

Highly multiplexed genotyping of coronary artery disease-associated SNPs using MALDI-TOF mass spectrometry.

Highly multiplexed genotyping methods are needed to support a comprehensive analysis of single nucleotide polymorphisms (SNPs) in coronary artery disease (CAD)-related genes. In this study we evaluated chip-based MALDI-TOF mass spectrometry for multiplexed genotyping of SNPs associated with CAD. Our analysis included 14 healthy Japanese individuals and 19 Japanese patients with myocardial infarction whose first attack occurred before age 50. We selected 29 candidate genes involved in 1) the renin-angiotensin system, 2) lipid metabolism, 3) cytokines and adhesion molecules, 4) growth factors, and 5) the coagulation-fibrinolysis system. Genotyping of candidate SNPs was performed by MALDI-TOF MS using a MassARRAY system, and 4-plex analysis was achieved at a maximum. All 39 SNPs determined by the fluorescent dye-terminator cycle sequencing method from four randomly selected patients were found to be in complete agreement with the results obtained from MassARRAY system. Significant differences were observed in the -1965delG of PAI1 (SERPINE1) with respect to allelic frequency, the G>A in the promoter region SNP in SM22 (TAGLN) for dominant genotype, and in two other SNPs (C>T in intron 1 of HGF, and -1965delG of PAI1) for recessive genotype. Three SNPs (803T>C of AGT, 677CT of MTHFR, 190T>C of ADRB3) showed weak differences in allelic frequency. MALDI-TOF-MS provided high performance with a multiplex assay design for analysis of CAD-related SNPs by increasing the throughput while maintaining a high level of accuracy.

Cell Adhesion Molecules↗
PubMed2002

Data mining of public SNP databases for the selection of intragenic SNPs.

Different strategies to search public single nucleotide polymorphism (SNP) databases for intragenic SNPs were evaluated. First, we assembled a strategy to annotate SNPs onto candidate genes based on a BLAST search of public SNP databases (Intragenic SNP Annotation by BLAST, ISAB). Only BLAST hits that complied with stringent criteria according to 1) percentage identity (minimum 98%), 2) BLAST hit length (the hit covers at least 98% of the length of the SNP entry in the database, or the hit is longer than 250 base pairs), and 3) location in non-repetitive DNA, were considered as valid SNPs. We assessed the intragenic context and redundancy of these SNPs, and demonstrated that the SNP content of the dbSNP and HGBASE/HGVbase databases are highly complementary but also overlap significantly. Second, we assessed the validity of intragenic SNP annotation available on the dbSNP and HGVbase websites by comparison with the results of the ISAB strategy. Only a minority of all annotated SNPs was found in common between the respective public SNP database websites and the ISAB annotation strategy. A detailed analysis was performed aiming to explain this discrepancy. As a conclusion, we recommend the application of an independent strategy (such as ISAB) to annotate intragenic SNPs, complementary to the annotation provided at the dbSNP and HGVbase websites. Such an approach might be useful in the selection process of intragenic SNPs for genotyping in genetic studies. Hum Mutat 20:162-173, 2002.

DNA↗
PubMed2006

Characterization and functional investigation of single nucleotide polymorphisms (SNPs) in the human TLR5 gene.

Toll-like receptors recognize pathogen-associated molecular patterns (PAMPs) and TLR5 is the pathogen recognition receptor (PRR) for bacterial flagellin. Patients carrying a R392 stop polymorphism display an inflammatory phenotype and increased susceptibility to pneumonia caused by the flagellated bacteria Legionella pneumophila. While this suggests that TLR5 mutations may be clinically relevant, functional data are not available for the majority of the other TLR5 polymorphisms. We have characterized all known single nucleotide polymorphisms (SNPs) of TLR5 for their functional relevance upon stimulation in transiently transfected CHO-K1 cells. Among the 13 missense SNPs of TLR5 reported in the human genetic databases, three SNPs (c.1174C>T, p.R392X; c.2081A>G, p.D694G; and c.2464C>T, p.L822F) were found to be functionally relevant in transiently transfected CHO-K1 cells. The prevalences of these functionally relevant SNPs in our investigation were 11.9 %, 0 %, and 0 %, in healthy donors. The p.D694G and p.L822F SNPs are of low frequency in the Caucasian population though further investigations of the common p.R392X variant alone or of functional relevant TLR5 SNPs in combination with other TLR SNPs will elucidate their possible role on disease susceptibility in humans and may facilitate clinical diagnosis.

Alleles↗
PubMed2004

Optimisation and validation of methods to assess single nucleotide polymorphisms (SNPs) in archival histological material.

BACKGROUND AND PURPOSE: An increasing amount of evidence indicates that single nucleotide polymorphisms (SNPs) may affect a variety of oncology related phenotypes. Occasionally, it is convenient to base studies addressing genotype-phenotype relationships on historical patient cohorts, from which only archival specimens are available. This study was conducted to validate protocols optimised for assessment of SNPs based on paraffin embedded, formalin fixed tissue samples. PATIENTS AND METHODS: In 137 breast cancer patients, three TGFB1 SNPs were assessed based on archival histological specimens. In 37 of these patients, the SNPs were also assessed using cultured fibroblasts and the assays were validated by direct comparison of the results. From the remaining 100 patients, only archival material was available. In these patients, the existence of a genetic linkage pattern between the assessed TGFB1 SNPs was used to provide an indirect validation of the genotyping results. Furthermore, two different methods for DNA extraction were compared (semi-automatic DNA extraction using the ABI Prism 6100 Nucleic Acid PrepStation versus Proteinase K digestion for 5 days followed by boiling and DNA precipitation). RESULTS: Assessment of SNPs based on archival histological material is encumbered by a number of obstacles and pitfalls. However, these can be widely overcome by careful optimisation of the methods used for sample selection, DNA extraction and PCR. Within 130 samples that fulfil the criteria for analysis a highly reliable SNP assessment was observed. The study demonstrated that different 'down-stream applications' ('single nucleotide primer extension' or 'TaqMan-based' real-time PCR) could be used as genotyping procedure. CONCLUSIONS: Reliable assessment of SNPs in formalin-fixed paraffin-embedded specimens is possible but a number of precautions should be carefully taken.

Biological Specimen Banks↗
PubMed2005

Dynamic model based algorithms for screening and genotyping over 100 K SNPs on oligonucleotide microarrays.

MOTIVATION: A high density of single nucleotide polymorphism (SNP) coverage on the genome is desirable and often an essential requirement for population genetics studies. Region-specific or chromosome-specific linkage studies also benefit from the availability of as many high quality SNPs as possible. The availability of millions of SNPs from both Perlegen and the public domain and the development of an efficient microarray-based assay for genotyping SNPs has brought up some interesting analytical challenges. Effective methods for the selection of optimal subsets of SNPs spanning the genome and methods for accurately calling genotypes from probe hybridization patterns have enabled the development of a new microarray-based system for robustly genotyping over 100,000 SNPs per sample. RESULTS: We introduce a new dynamic model-based algorithm (DM) for screening over 3 million SNPs and genotyping over 100,000 SNPs. The model is based on four possible underlying states: Null, A, AB and B for each probe quartet. We calculate a probe-level log likelihood for each model and then select between the four competing models with an SNP-level statistical aggregation across multiple probe quartets to provide a high-quality genotype call along with a quality measure of the call. We assess performance with HapMap reference genotypes, informative Mendelian inheritance relationship in families, and consistency between DM and another genotype classification method. At a call rate of 95.91% the concordance with reference genotypes from the HapMap Project is 99.81% based on over 1.5 million genotypes, the Mendelian error rate is 0.018% based on 10 trios, and the consistency between DM and MPAM is 99.90% at a comparable rate of 97.18%. We also develop methods for SNP selection and optimal probe selection. AVAILABILITY: The DM algorithm is available in Affymetrix's Genotyping Tools software package and in Affymetrix's GDAS software package. See http://www.affymetrix.com for further information. 10 K and 100 K mapping array data are available on the Affymetrix website.

Algorithms↗
PubMed2004

PupaSNP Finder: a web tool for finding SNPs with putative effect at transcriptional level.

We have developed a web tool, PupaSNP Finder (PupaSNP for short), for high-throughput searching for single nucleotide polymorphisms (SNPs) with potential phenotypic effect. PupaSNP takes as its input lists of genes (or generates them from chromosomal coordinates) and retrieves SNPs that could affect the conserved regions that the cellular machinery uses for the correct processing of genes (intron/exon boundaries or exonic splicing enhancers), predicted transcription factor binding sites (TFBS) and changes in amino acids in the proteins. The program uses the mapping of SNPs in the genome provided by Ensembl. Additionally, user-defined SNPs (not yet mapped in the genome) can be easily provided to the program. Also, additional functional information from Gene Ontology, OMIM and homologies in other model organisms is provided. In contrast to other programs already available, which focus only on SNPs with possible effect in the protein, PupaSNP includes SNPs with possible transcriptional effect. PupaSNP will be of significant help in studies of multifactorial disorders, where the use of functional SNPs will increase the sensitivity of identification of the genes responsible for the disease. The PupaSNP web interface is accessible through http://pupasnp.bioinfo.cnio.es.

Amino Acid Substitution↗
PubMed2007

Identification and analysis of single nucleotide polymorphisms (SNPs) in the mosquito Anopheles funestus, malaria vector.

BACKGROUND: Single nucleotide polymorphisms (SNPs) are the most common source of genetic variation in eukaryotic species and have become an important marker for genetic studies. The mosquito Anopheles funestus is one of the major malaria vectors in Africa and yet, prior to this study, no SNPs have been described for this species. Here we report a genome-wide set of SNP markers for use in genetic studies on this important human disease vector. RESULTS: DNA fragments from 50 genes were amplified and sequenced from 21 specimens of An. funestus. A third of specimens were field collected in Malawi, a third from a colony of Mozambican origin and a third form a colony of Angolan origin. A total of 494 SNPs including 303 within the coding regions of genes and 5 indels were identified. The physical positions of these SNPs in the genome are known. There were on average 7 SNPs per kilobase similar to that observed in An. gambiae and Drosophila melanogaster. Transitions outnumbered transversions, at a ratio of 2:1. The increased frequency of transition substitutions in coding regions is likely due to the structure of the genetic code and selective constraints. Synonymous sites within coding regions showed a higher polymorphism rate than non-coding introns or 3' and 5'flanking DNA with most of the substitutions in coding regions being observed at the 3rd codon position. A positive correlation in the level of polymorphism was observed between coding and non-coding regions within a gene. By genotyping a subset of 30 SNPs, we confirmed the validity of the SNPs identified during this study. CONCLUSION: This set of SNP markers represents a useful tool for genetic studies in An. funestus, and will be useful in identifying candidate genes that affect diverse ranges of phenotypes that impact on vector control, such as resistance insecticide, mosquito behavior and vector competence.

Animals↗
PubMed2005

Identifying SNPs predictive of phenotype using random forests.

There has been a great interest and a few successes in the identification of complex disease susceptibility genes in recent years. Association studies, where a large number of single-nucleotide polymorphisms (SNPs) are typed in a sample of cases and controls to determine which genes are associated with a specific disease, provide a powerful approach for complex disease gene mapping. Genes of interest in those studies may contain large numbers of SNPs that classical statistical methods cannot handle simultaneously without requiring prohibitively large sample sizes. By contrast, high-dimensional nonparametric methods thrive on large numbers of predictors. This work explores the application of one such method, random forests, to the problem of identifying SNPs predictive of the phenotype in the case-control study design. A random forest is a collection of classification trees grown on bootstrap samples of observations, using a random subset of predictors to define the best split at each node. The observations left out of the bootstrap samples are used to estimate prediction error. The importance of a predictor is quantified by the increase in misclassification occurring when the values of the predictor are randomly permuted. We extend the concept of importance to pairs of predictors, to capture joint effects, and we explore the behavior of importance measures over a range of two-locus disease models in the presence of a varying number of SNPs unassociated with the phenotype. We illustrate the application of random forests with a data set of asthma cases and unaffected controls genotyped at 42 SNPs in ADAM33, a previously identified asthma susceptibility gene. SNPs and SNP pairs highly associated with asthma tend to have the highest importance index value, but predictive importance and association do not always coincide.

Case-Control Studies↗
PubMed2005

Identifying interacting SNPs using Monte Carlo logic regression.

Interactions are frequently at the center of interest in single-nucleotide polymorphism (SNP) association studies. When interacting SNPs are in the same gene or in genes that are close in sequence, such interactions may suggest which haplotypes are associated with a disease. Interactions between unrelated SNPs may suggest genetic pathways. Unfortunately, data sets are often still too small to definitively determine whether interactions between SNPs occur. Also, competing sets of interactions could often be of equal interest. Here we propose Monte Carlo logic regression, an exploratory tool that combines Markov chain Monte Carlo and logic regression, an adaptive regression methodology that attempts to construct predictors as Boolean combinations of binary covariates such as SNPs. The goal of Monte Carlo logic regression is to generate a collection of (interactions of) SNPs that may be associated with a disease outcome, and that warrant further investigation. As such, the models that are fitted in the Markov chain are not combined into a single model, as is often done in Bayesian model averaging procedures. Instead, the most frequently occurring patterns in these models are tabulated. The method is applied to a study of heart disease with 779 participants and 89 SNPs. A simulation study is carried out to investigate the performance of the Monte Carlo logic regression approach.

Haplotypes↗
PubMed2006

The contribution of individual and pairwise combinations of SNPs in the APOA1 and APOC3 genes to interindividual HDL-C variability.

Apolipoproteins (apo) A-I and C-III are components of high-density lipoprotein-cholesterol (HDL-C), a quantitative trait negatively correlated with risk of cardiovascular disease (CVD). We analyzed the contribution of individual and pairwise combinations of single nucleotide polymorphisms (SNPs) in the APOA1/APOC3 genes to HDL-C variability to evaluate (1) consistency of published single-SNP studies with our single-SNP analyses; (2) consistency of single-SNP and two-SNP phenotype-genotype relationships across race-, gender-, and geographical location-dependent contexts; and (3) the contribution of single SNPs and pairs of SNPs to variability beyond that explained by plasma apo A-I concentration. We analyzed 45 SNPs in 3,831 young African-American (N=1,858) and European-American (N=1,973) females and males ascertained by the Coronary Artery Risk Development in Young Adults (CARDIA) study. We found three SNPs that significantly impact HDL-C variability in both the literature and the CARDIA sample. Single-SNP analyses identified only one of five significant HDL-C SNP genotype relationships in the CARDIA study that was consistent across all race-, gender-, and geographical location-dependent contexts. The other four were consistent across geographical locations for a particular race-gender context. The portion of total phenotypic variance explained by single-SNP genotypes and genotypes defined by pairs of SNPs was less than 3%, an amount that is miniscule compared to the contribution explained by variability in plasma apo A-I concentration. Our findings illustrate the impact of context-dependence on SNP selection for prediction of CVD risk factor variability.

Adolescent↗
PubMed2005

SNPs in the promoter region of the osteopontin gene as a marker predicting the efficacy of interferon-based therapies in patients with chronic hepatitis C.

BACKGROUND: The T-helper (Th)1 immune reaction is essential for the eradication of hepatitis C virus (HCV) during interferon (IFN) therapy in patients with chronic hepatitis C. Osteopontin is a cytokine crucial for the initiation of the Th1 response. Recently, we identified four single-nucleotide polymorphisms (SNPs) in the promoter region of the osteopontin gene (OPN), at nucleotide (nt) -155, -443, -616, and -1748, and suggested that the SNP at nt -443 was a marker reflecting hepatitis activity in patients with HCV. Therefore, we examined the possibility that SNPs in OPN were also markers predicting the therapeutic efficacy of IFN in patients with chronic hepatitis C. METHODS: Blood was collected from 77 patients with chronic hepatitis C who had received either IFN monotherapy or IFN-ribavirin combination therapy (IFN-based therapies). SNPs in OPN, MxA, MBL, and LMP7 were analyzed by Invader assay. RESULTS: Promoter SNPs of OPN at nt -155, -616, and -1748 showed linkage disequilibrium at 100% to each other. Sustained virological response (SVR) was observed in 58% of all patients. The SVR rate was higher in patients with the G/G or G/A alleles in the OPN promoter SNP at nt -1748 than in those with A/A (85% vs 45%; P < 0.05). The SVR rate was also higher in patients with T/T at nt -443 than in those with C/C or C/T (86% vs 47%; P < 0.05). Such differences were particularly evident in patients with HCV genotype 1b who had a pretreatment viral load greater than 100 KIU/ml. All the patients who had G/G or G/A at nt -1748 and T/T at nt -443 obtained an SVR. On the other hand, there was no relationship between the efficacy of IFN-based therapies and SNPs in MxA, MBL, and LMP7, which had been shown to have association with the response to IFN monotherapies. CONCLUSIONS: SNPs in the promoter region of OPN may be useful as a marker to predict the efficacy of IFN-based therapies in patients with chronic hepatitis C, and further investigation regarding their real significance is warranted in a large series of patients.

Adult↗
PubMed2001

Catalog of 434 single-nucleotide polymorphisms (SNPs) in genes of the alcohol dehydrogenase, glutathione S-transferase, and nicotinamide adenine dinucleotide, reduced (NADH) ubiquinone oxidoreductase families.

An approach based on development of a large archive of single-nucleotide polymorphisms (SNPs) throughout the human genome is expected to facilitate large-scale studies to identify genes associated with drug efficacy and side effects, or susceptibility to common diseases. We have already described collections of SNPs present among various genes encoding drug-metabolizing enzymes. Here we report SNPs for such enzymes at additional loci, including 8 alcohol dehydrogenases, 12 glutathione S-transferases, and 18 belonging to the NADH-ubiquinone oxidoreductase family. Among DNA samples from 48 Japanese volunteers, we identified a total of 434 SNPs at these 38 loci: 27 within coding elements, 52 in 5' flanking regions, five in 5' untranslated regions, 293 in introns, 20 in 3' untranslated regions, and 37 in 3' flanking regions. The ratio of transitions to transversions was approximately 2.1 to 1. Among the 27 coding SNPs, 13 were nonsynonymous changes that resulted in amino acid substitutions. Our collection of SNPs derived from this study should prove useful for investigations designed to detect associations between genetic variations and common diseases or responsiveness to drug therapy.

Alcohol Dehydrogenase↗
PubMed2002

Catalog of 605 single-nucleotide polymorphisms (SNPs) among 13 genes encoding human ATP-binding cassette transporters: ABCA4, ABCA7, ABCA8, ABCD1, ABCD3, ABCD4, ABCE1, ABCF1, ABCG1, ABCG2, ABCG4, ABCG5, and ABCG8.

Single-nucleotide polymorphisms (SNPs) at some gene loci are useful as markers of individual risk for adverse drug reactions or susceptibility to complex diseases. We have been focusing on identifying SNPs in and around genes encoding drug-metabolizing enzymes and transporters, and have constructed several high-density SNP maps of such regions. Here we report SNPs at additional loci, specifically 13 genes belonging to the superfamily of ATP-binding cassette transporters ( ABCA4, ABCA7, ABCA8, ABCD1, ABCD3, ABCD4, ABCE1, ABCF1, ABCG1, ABCG2, ABCG4, ABCG5, and ABCG8). Sequencing a total of 416 kb of genomic DNA from 48 Japanese volunteers identified 605 SNPs among these 13 loci: 14 in 5' flanking regions, 5 in 5' untranslated regions, 37 within coding elements, 529 in introns, 8 in 3' untranslated regions, and 12 in 3' flanking regions. By comparing our data with SNPs deposited in the dbSNP database of the National Center for Biotechnology Information (US) and with published reports, we determined that 491 (81%) of the SNPs reported here were novel. We also detected 107 genetic variations of other types among the loci examined (insertion-deletions or mono- di-, or trinucleotide polymorphisms). The high-density SNP maps we constructed on the basis of these data should provide useful information for investigating associations between genetic variations and common diseases or responsiveness to drug therapy.

ATP-Binding Cassette Transporters↗
PubMed2006

Evaluation of an algorithm of tagging SNPs selection by linkage disequilibrium.

BACKGROUND: Single nucleotide polymorphisms (SNPs) are the most abundant kind of genetic polymorphism in the human genome. They are important in both genetic research and genetic testing in a clinical setting, such as in the area of pharmacogenetics. In order to improve efficiency, tagging SNPs (tagSNPs) are selected in genes of interest to represent other co-related SNPs in linkage disequilibrium (LD) with the tagSNPs. Various algorithms have been proposed to identify a subset of single nucleotide polymorphisms as tagSNPs. Most algorithms of tagSNPs selection are haplotype-based, in which the spatial relationship between SNPs is considered. Currently, a more efficient cluster-based algorithm is proposed which clusters SNPs solely by a LD parameter, such as r(2). Here, we evaluated the sample distribution of r(2) and its effect on the cluster-based tagSNPs selection. DESIGN AND METHODS: The genotype data of 198 individual within a 500-kb region on 5q31 was used to evaluate the sample distribution of r(2) and its effect on the cluster-based tagSNPs selection. RESULTS: It was found that the degree of variation of LD depends on the LD structure of genes. CONCLUSION: As a cluster-based tagSNPs selection algorithm does not take into account the spatial position of SNPs, a more stringent r(2) threshold is required to achieve more reliable tagSNPs selection.

Algorithms↗
PubMed2026

Upper airway microbiome interacts with GSDMB and ORMDL3 asthma risk SNPs to influence early-life wheeze risk.

BACKGROUND: Single-nucleotide polymorphisms (SNPs) in the chromosome 17q12-q21 region and, independently, early-life nasal microbiota dominated by Moraxella, Streptococcus, or Haemophilus (MSH) increase risk of chronic wheeze and asthma development. OBJECTIVE: We sought to determine whether 17q12-q21 risk SNPs and nasal microbiota interact to modulate childhood wheeze risk. METHODS: Nasal wash samples from 12-month-old infants in 2 birth cohorts, COAST (Childhood Origins of Asthma; n = 180) and URECA (Urban Environment and Childhood Asthma; n = 139), underwent 16S ribosomal RNA variable region 4 sequencing. Nasal microbiota dominated by MSH or Corynebacterium, Dolosigranulum, Staphylococcus, or Bacillus (CDSB) were assessed. Paired blood was genotyped for 9 17q12-q21 risk SNPs. Logistic regression tested interactions between 17q12-q21 SNPs and MSH or CDSB on wheeze risk in the first 3 years of life. A549 lung epithelial cells, CRISPR-edited to encode the rs7216389 risk genotype (rs7216389TT) were compared to the heterozygous (rs7216389CT) line using bulk RNA sequencing. RESULTS: SNPs, particularly those in the ORMDL3 (rs8076131; odds ratio [OR]: 1.72; 95% CI: 1.09-2.71; Pint = .031) and GSDMB (rs2305480; OR: 1.72; 95% CI: 1.09-2.71; Pint = 0.042; and rs7216389; OR: 1.73; 95% CI: 1.09-2.70; Pint = .047) genes, interact with MSH microbiota to increase early-life wheeze risk (false discovery rate Pint = .016 for all), while interactions with CDSB reduce risk. A549 airway epithelial cells homozygous for rs7216389TT exhibited decreased expression of genes involved in antimicrobial responses and neutrophil recruitment and evidence increased microbial adherence compared with the heterozygous cell line. CONCLUSION: Airway microbiota interact with SNPs at the 17q12-q21 locus in genes involved in sphingolipid metabolism and intracellular antimicrobial responses, to modulate wheeze risk.

Humans↗
PubMed2004

Ethnic differences of coronary artery disease-associated SNPs in two Israeli healthy populations using MALDI-TOF mass spectrometry.

Differences in prevalence and mortality from coronary artery disease (CAD) were observed among the different Israeli ethnic groups. The incidence of CAD in Israel is highest among Ashkenazi Jews and is much lower among Yemenite Jews. In this present study, we selected 15 single nucleotide polymorphisms (SNPs) from 14 candidate genes involved in (1) the renin-angiotensin system, (2) lipid metabolism, (3) cytokines and adhesion molecules, and (4) growth factors, and (5) the coagulation-fibrinolysis system. We analyzed the 15 SNPs in 94 Israeli healthy populations (47 Ashkenazi Jews and 47 Yemenite Jews) obtained from the National Laboratory for the Genetics of Israeli Populations. We applied chip-based MALDI-TOF mass spectrometry as a method for screening multiplexed genotyping of SNPs for ethnic difference in these healthy populations. Among the 15 candidate SNPs, significant differences in allelic frequency were observed in the 1166A>C of the AGTR1 gene, R158C of the Apo E gene, W64R of the ADRB3 gene, S101S of the TIMP 2 gene, and A222V of the MTHFR gene with respect to allele frequency. The incidence of A/C allele of the AGTR1 gene were 0.638/0.362 vs 0.765/0.235, C/T allele in the apo E gene was 0.915/0.085 vs 0.989/0.011, T/C allele of the ADRB3 gene was 0.989/0.0011 vs 0.926/0.074, G/A allele of the TIMP2 gene was 0.974/0.054 vs 0.830/0.170, and C/T allele in the MTHFR gene was 0.521/0.479 vs 0.819/0.181 for Ashkenazi Jews and Yemenite Jews, respectively. We demonstrated an ethnic difference of CAD-associated SNPs in two Israeli healthy populations using MALDI-TOF mass spectrometry. Further study is necessary to prove causal relation with CAD-associated SNPs and the prevalence of CAD.

Apolipoproteins E↗