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PubMed2006

Automating sequence-based detection and genotyping of SNPs from diploid samples.

The detection of sequence variation, for which DNA sequencing has emerged as the most sensitive and automated approach, forms the basis of all genetic analysis. Here we describe and illustrate an algorithm that accurately detects and genotypes SNPs from fluorescence-based sequence data. Because the algorithm focuses particularly on detecting SNPs through the identification of heterozygous individuals, it is especially well suited to the detection of SNPs in diploid samples obtained after DNA amplification. It is substantially more accurate than existing approaches and, notably, provides a useful quantitative measure of its confidence in each potential SNP detected and in each genotype called. Calls assigned the highest confidence are sufficiently reliable to remove the need for manual review in several contexts. For example, for sequence data from 47-90 individuals sequenced on both the forward and reverse strands, the highest-confidence calls from our algorithm detected 93% of all SNPs and 100% of high-frequency SNPs, with no false positive SNPs identified and 99.9% genotyping accuracy. This algorithm is implemented in a software package, PolyPhred version 5.0, which is freely available for academic use.

Algorithms↗
PubMed2003

Evaluation of human leukocyte N-formylpeptide receptor (FPR1) SNPs in aggressive periodontitis patients.

Polymorphonuclear neutrophils (PMNs) are attracted to sites of infection by N-formylpeptide (fMLP) chemoattractants. The high-affinity fMLP receptor (FPR1) of phagocytic cells interacts with bacterial fMLP and mediates chemotaxis, degranulation, and superoxide production. These cellular functions are disrupted in PMN from aggressive periodontitis (AP) patients. Two FPR1 gene single nucleotide polymorphisms (SNPs), c.329T>C and c.378C>G, have been associated with a localized form of AP in African-American patients. To evaluate the generality of these SNPs in AP patients, we sequenced a 363 bp interval of the FPR1 gene in an ethnically diverse group of patients (n=111) and controls (n=115). Neither c.329T>C nor c.378C>G were detected in the 452 alleles sequenced. Six SNPs were identified including two located in the FPR1 second extracellular loop that were significantly associated with the AP phenotype in African-American patients (p.R190W, P=0.0033; and p.N192K, P=0.0018). These two SNPs show three predominant haplotypes, each associated with a different disease risk in African-Americans. These data do not support the hypothesis that the FPR1 SNPs c.329T>C and c.378C>G play an etiologic role in aggressive periodontitis, but do suggest that SNPs in the second extracellular loop may be etiologically important.

Black or African American↗
PubMed2005

PupasView: a visual tool for selecting suitable SNPs, with putative pathological effect in genes, for genotyping purposes.

We have developed a web tool, PupasView, for the selection of single nucleotide polymorphisms (SNPs) with potential phenotypic effect. PupasView constitutes an interactive environment in which functional information and population frequency data can be used as sequential filters over linkage disequilibrium parameters to obtain a final list of SNPs optimal for genotyping purposes. PupasView is the first resource that integrates phenotypic effects caused by SNPs at both the translational and the transcriptional level. PupasView retrieves SNPs that could affect 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 and changes in amino acids in the proteins for which a putative pathological effect is calculated. The program uses the mapping of SNPs in the genome provided by Ensembl. PupasView will be of much help in studies of multifactorial disorders, where the use of functional SNPs will increase the sensitivity of the identification of the genes responsible for the disease. The PupasView web interface is accessible through http://pupasview.ochoa.fib.es and through http://www.pupasnp.org.

Computer Graphics↗
PubMed2006

SNP@Domain: a web resource of single nucleotide polymorphisms (SNPs) within protein domain structures and sequences.

The single nucleotide polymorphisms (SNPs) in conserved protein regions have been thought to be strong candidates that alter protein functions. Thus, we have developed SNP@Domain, a web resource, to identify SNPs within human protein domains. We annotated SNPs from dbSNP with protein structure-based as well as sequence-based domains: (i) structure-based using SCOP and (ii) sequence-based using Pfam to avoid conflicts from two domain assignment methodologies. Users can investigate SNPs within protein domains with 2D and 3D maps. We expect this visual annotation of SNPs within protein domains will help scientists select and interpret SNPs associated with diseases. A web interface for the SNP@Domain is freely available at http://snpnavigator.net/ and from http://bioportal.net/.

Computer Graphics↗
PubMed2023

Pervasive correlations between causal disease effects of proximal SNPs vary with functional annotations and implicate stabilizing selection.

The genetic architecture of human diseases and complex traits has been extensively studied, but little is known about the relationship of causal disease effect sizes between proximal SNPs, which have largely been assumed to be independent. We introduce a new method, LD SNP-pair effect correlation regression (LDSPEC), to estimate the correlation of causal disease effect sizes of derived alleles between proximal SNPs, depending on their allele frequencies, LD, and functional annotations; LDSPEC produced robust estimates in simulations across various genetic architectures. We applied LDSPEC to 70 diseases and complex traits from the UK Biobank (average N=306K), meta-analyzing results across diseases/traits. We detected significantly nonzero effect correlations for proximal SNP pairs (e.g., -0.37±0.09 for low-frequency positive-LD 0-100bp SNP pairs) that decayed with distance (e.g., -0.07±0.01 for low-frequency positive-LD 1-10kb), varied with allele frequency (e.g., -0.15±0.04 for common positive-LD 0-100bp), and varied with LD between SNPs (e.g., +0.12±0.05 for common negative-LD 0-100bp) (because we consider derived alleles, positive-LD and negative-LD SNP pairs may yield very different results). We further determined that SNP pairs with shared functions had stronger effect correlations that spanned longer genomic distances, e.g., -0.37±0.08 for low-frequency positive-LD same-gene promoter SNP pairs (average genomic distance of 47kb (due to alternative splicing)) and -0.32±0.04 for low-frequency positive-LD H3K27ac 0-1kb SNP pairs. Consequently, SNP-heritability estimates were substantially smaller than estimates of the sum of causal effect size variances across all SNPs (ratio of 0.87±0.02 across diseases/traits), particularly for certain functional annotations (e.g., 0.78±0.01 for common Super enhancer SNPs)-even though these quantities are widely assumed to be equal. We recapitulated our findings via forward simulations with an evolutionary model involving stabilizing selection, implicating the action of linkage masking, whereby haplotypes containing linked SNPs with opposite effects on disease have reduced effects on fitness and escape negative selection.

Journal Article↗
PubMed2006

Linkage mapping of gene-associated SNPs to pig chromosome 11.

Single nucleotide polymorphisms (SNPs) were discovered in porcine expressed sequence tags (ESTs) orthologous to genes from human chromosome 13 (HSA13) and predicted to be located on pig chromosome 11 (SSC11). The SNPs were identified as sequence variants in clusters of EST sequences from pig cDNA libraries constructed in the Sino-Danish pig genome project. In total, 312 human gene sequences from HSA13 were used for similarity searches in our pig EST database. Pig ESTs showing significant similarity with HSA13 genes were clustered and candidate SNPs were identified. Allele frequencies for 26 SNPs were estimated in a group of 80 unrelated pigs from Danish commercial pig breeds: Duroc, Hampshire, Landrace and Large White. Eighteen of the 26 SNPs genotyped in the PiGMaP Reference Families were mapped by linkage analysis to SSC11. The EST-based SNPs published here are new genetic markers useful for linkage and association studies in commercial and experimental pig populations. This study represents the first gene-associated SNP linkage map of pig chromosome 11 and adds new comparative mapping information between SSC11 and HSA13. Furthermore, our data facilitate future studies aimed at the identification of interesting regions on pig chromosome 11, positional cloning and fine mapping of quantitative trait loci in pig.

Animals↗
PubMed2006

Complete DNA sequence variation in the apolipoprotein H (beta-glycoprotein I) gene and identification of informative SNPs.

Apolipoprotein H (APOH), also known as beta2-glycoprotein I, is a major antigen for the production of antiphospholipid antibodies in autoimmune diseases. Previously we have examined DNA variation in the coding region of the APOH gene and determined the molecular basis of the common protein polymorphism. Here we report the results of DNA sequence variation in the entire APOH gene encompassing a 20.3 kb region in 46 Caucasian Americans and 48 African American chromosomes. A total of 150 single nucleotide polymorphisms (SNPs) and one tri-allelic polymorphism were identified, including 8 in the coding region, 14 in the 5'-region and 2 in the 3'- region; the remainder were observed in introns. The observed number of SNPs was higher in the African American sample than in the Caucasian sample (130 vs. 84). We examined the race-specific linkage disequilibrium pattern among SNPs and identified maximally informative SNPs for future association studies. Altogether, we have identified 17 informative SNPs among Caucasians and 35 in blacks. The discovery of a full range of sequence variation and identification of race-specific informative SNPs in the APOH gene may facilitate the rapid evaluation of this variation in relation to autoimmune diseases.

Black or African American↗
PubMed2005

Polymorphism study of seven SNPs at ADH genes in 15 Chinese populations.

It has been shown that the variants of alcohol dehydrogenase (ADH) genes exhibit great diversities among various populations and are associated with susceptibility to alcoholism. To investigate the distribution of SNPs at ADH genes in Chinese populations and the genetic relationship of these groups, we collected 467 individuals from 15 groups distributing widely from north to south in China and genotyped 7 SNPs at ADH genes respectively. The statistic analyses of allele frequencies, estimated haplotype frequencies, pairwise linkage disequilibrium, AMOVA (analysis of molecular variance), pairwise Fst', and cluster analysis indicated (1) that six of these seven SNPs showed great variations in the 15 Chinese populations, and three of them (RsaI, SspI, EcoRI), were confirmed to be informative SNPs. However, the causative SNP ADH1B Arg47His confirmed in case-control studies could not act as significant indicator to distinguish bibulous groups from non-bibulous groups in healthy individuals; (2) haplotypes constructed with ADH SNPs could be used as markers to discern different populations in China, and six-allele haplotype "221211" was the most common one defined in present study; (3) on the basis of SNPs analysis of ADH genes, the 15 populations were grouped into northern groups and southern groups. Moreover, the origin relationship among the populations was indicated according to the results of cluster analysis.

Alcohol Dehydrogenase↗
PubMed2023

Pervasive correlations between causal disease effects of proximal SNPs vary with functional annotations and implicate stabilizing selection.

The genetic architecture of human diseases and complex traits has been extensively studied, but little is known about the relationship of causal disease effect sizes between proximal SNPs, which have largely been assumed to be independent. We introduce a new method, LD SNP-pair effect correlation regression (LDSPEC), to estimate the correlation of causal disease effect sizes of derived alleles between proximal SNPs, depending on their allele frequencies, LD, and functional annotations; LDSPEC produced robust estimates in simulations across various genetic architectures. We applied LDSPEC to 70 diseases and complex traits from the UK Biobank (average N=306K), meta-analyzing results across diseases/traits. We detected significantly nonzero effect correlations for proximal SNP pairs (e.g., -0.37±0.09 for low-frequency positive-LD 0-100bp SNP pairs) that decayed with distance (e.g., -0.07±0.01 for low-frequency positive-LD 1-10kb), varied with allele frequency (e.g., -0.15±0.04 for common positive-LD 0-100bp), and varied with LD between SNPs (e.g., +0.12±0.05 for common negative-LD 0-100bp) (because we consider derived alleles, positive-LD and negative-LD SNP pairs may yield very different results). We further determined that SNP pairs with shared functions had stronger effect correlations that spanned longer genomic distances, e.g., -0.37±0.08 for low-frequency positive-LD same-gene promoter SNP pairs (average genomic distance of 47kb (due to alternative splicing)) and -0.32±0.04 for low-frequency positive-LD H3K27ac 0-1kb SNP pairs. Consequently, SNP-heritability estimates were substantially smaller than estimates of the sum of causal effect size variances across all SNPs (ratio of 0.87±0.02 across diseases/traits), particularly for certain functional annotations (e.g., 0.78±0.01 for common Super enhancer SNPs)-even though these quantities are widely assumed to be equal. We recapitulated our findings via forward simulations with an evolutionary model involving stabilizing selection, implicating the action of linkage masking, whereby haplotypes containing linked SNPs with opposite effects on disease have reduced effects on fitness and escape negative selection.

Journal Article↗
PubMed2005

SNPs and MALDI-TOF MS: tools for DNA typing in forensic paternity testing and anthropology.

DNA markers used for individual identification in forensic sciences are based on repeat sequences in nuclear DNA and the mitochondrial DNA hypervariable regions 1 and 2. An alternative to these markers is the use of single nucleotide polymorphisms (SNPs). These have a particular advantage in the analysis of degraded or poor samples, which are often all that is available in forensics or anthropology. In order to study the potential of SNP analysis in these fields, 41 SNPs were selected on the basis of following criteria: conservation, lack of phenotypic expression, and frequency of occurrence in populations. Thirty-six autosomal SNPs were used for genotyping 21 inclusionary and 3 exclusionary paternity cases. The behavior of 5 X-chromosome SNPs was analyzed in a French representative population. Our approach to SNP typing is a multiplex PCR based amplification followed by simultaneous detection by primer extension (PEX) analyzed by Matrix Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS). The selected autosomal SNPs showed independent inheritance and gave clear results in paternity investigation. All X-SNPs were useful as both paternity and identification markers. PEX and MALDI-TOF MS, with their high sensitivity, precision and speed, gave a powerful method for forensic and anthropological exploitation of biallelic markers.

Chromosomes, Human, X↗
PubMed2006

Transferability of tag SNPs to capture common genetic variation in DNA repair genes across multiple populations.

Genetic association studies can be made more cost-effective by exploiting linkage disequilibrium patterns between nearby single-nucleotide polymorphisms (SNPs). The International HapMap Project now offers a dense SNP map across the human genome in four population samples. One question is how well tag SNPs chosen from a resource like HapMap can capture common variation in independent disease samples. To address the issue of tag SNP transferability, we genotyped 2,783 SNPs across 61 genes (with a total span of 6 Mb) involved in DNA repair in 466 individuals from multiple populations. We picked tag SNPs in samples with European ancestry from the Centre d'Etude du Polymorphisme Humain, and evaluated coverage of common variation in the other samples. Our comparative analysis shows that common variation in non-African samples can be captured robustly with only marginal loss in terms of the maximum r2. We also evaluated the transferability of specified multi-marker haplotypes as predictors for untyped SNPs, and demonstrate that they provide equivalent coverage compared to single-marker tests (pairwise tags) while requiring fewer SNPs for genotyping. The efficacy of a tagging-based approach in studying genotype-phenotype correlations in complex traits is strongly supported by our empirical results.

Computational Biology↗
PubMed2004

PromoLign: a database for upstream region analysis and SNPs.

The study of transcriptional regulation at the genomic level has been hindered by the lack of functional annotation in the putative regulatory regions. Phylogenetic footprinting, in which cross-species sequence alignment among orthologous genes is applied to locate conserved sequence blocks, is an effective strategy to attack this problem. Single nucleotide polymorphisms (SNPs) in transcription factor (TF) binding sites contribute to the heterogeneity of TF binding sites and might disrupt or enhance their regulatory activity. The correlation of SNPs with the TF sites will not only help in functional evaluation of SNPs, but will also help in the study of transcription regulation by focusing attention on specific TF sites. PromoLign (http://polly.wustl.edu/promolign/main.html) is an online database application that presents SNPs and TF binding profiles in the context of human-mouse orthologous sequence alignment with a hyperlinked graphical interface. PromoLign could be applied to a variety of SNPs and transcription related studies, including association genetics, population genetics, and pharmacogenetics.

Animals↗
PubMed2005

dbQSNP: a database of SNPs in human promoter regions with allele frequency information determined by single-strand conformation polymorphism-based methods.

We present a database, dbQSNP (http://qsnp.gen.kyushu-u.ac.jp/), that provides sequence and allele frequency information for single-nucleotide polymorphisms (SNPs) located in the promoter regions of human genes, which were defined by the 5' ends of full-length cDNA clones. We searched for the SNPs in these regions by sequencing or single-strand conformation polymorphism (SSCP) analysis. The allele frequencies of the identified SNPs in two ethnic groups were quantified by SSCP analyses of pooled DNA samples. The accuracy of our estimation is supported by strong correlations between the frequencies in our data and those in other databases for the same ethnic groups. The frequencies vary considerably between the two ethnic groups studied, suggesting the need for population-based collections and allele frequency determination of SNPs, in, e.g., association studies of diseases. We show profiles of SNP densities that are characteristic of transcription start site regions. A fraction of the SNPs revealed a significantly different allele frequency between the groups, suggesting differential selection of the genes involved.

Alleles↗
PubMed2003

Three-dimensional structural location and molecular functional effects of missense SNPs in the T cell receptor Vbeta domain.

The mechanisms by which human single nucleotide polymorphisms (SNPs) influence susceptibility to disease are not yet well understood. In a previous study, we developed a structure-based model that may be used to identify which missense SNPs are neutral and which are deleterious to protein function and so potentially involved in disease (Wang and Moult, Hum Mutat 2001;263-270). The model has now been applied to a set of 54 missense cSNPs in the 46 functional T-cell receptor Vbeta-genes. Most of these missense cSNPs are found to be neutral, but 10 are identified as likely deleterious to protein function. Only one was previously associated with disease. We suggest that the others may be disease related but that redundancy in the T-cell response prevents any simple, monogenic effect. Therefore, these SNPs are the most likely contributors to complex, polygenic disease traits. It has been noted that there is a surprisingly high (74%) fraction of nonsynonymous SNPs in these genes. Contrary to expectation, the analysis shows that these are not associated with an unusually high fraction of deleterious SNPs, nor do they significantly contribute to a larger range of antigen recognition or a reduced superantigen-binding repertoire.

Binding Sites↗
PubMed2003

Identification of SNPs and development of allele-specific PCR markers for gamma-gliadin alleles in Triticum aestivum.

The coding regions of 28 entries of hexaploid wheat gamma-gliadin genes, gene fragments or pseudogenes in GenBank were used for nucleotide alignment. These sequences could be divided into nine subgroups based on nucleotide variation. The chromosomal locations of five of the seven unassigned subgroups were identified through subgroup-specific polymerase chain reactions (PCR) using Chinese Spring group-1 nulli-tetrasomic lines. Multiple single nucleotide polymorphisms (SNPs) and small insertions/deletions were identified in each subgroup. With further mining from wheat expressed sequence tag databases and targeted DNA sequencing, two SNPs were confirmed and one SNP was discovered for genes at the Gli-A1, Gli-B1 and Gli-D1 loci. A modified allele-specific PCR procedure for assaying SNPs was used to generate dominant DNA markers based on these three SNPs. For each of these three SNPs, two allele-specific primer sets were used to test Chinese Spring and 52 commercial Australian wheat varieties representing a range of low-molecular-weight (LMW) alleles. PCR results indicated that all were positive with one of the primer sets and negative with the other, with the exception of three varieties containing the 1BL/1RS chromosomal translocation that were negative for both. Furthermore, markers GliA1.1, GliB1.1 and GliD1.1 were found to be correlated with Glu-A3 a, b or c, Glu-B3 b, c, d or e and Glu-D3 a, b or e LMW glutenin alleles, respectively. Markers GliA1.2, GliB1.2 and GliD1.2 were found to be correlated with the Glu-A3 d or e, Glu-B3 a, g or h and Glu-D3 c alleles, respectively. These results indicated that the gamma-gliadin SNP markers could be used for detecting linked LMW glutenin subunit alleles that are important in determining the quality attributes of wheat products.

Alleles↗
PubMed2002

Catalog of 86 single-nucleotide polymorphisms (SNPs) in three uridine diphosphate glycosyltransferase genes: UGT2A1, UGT2B15, and UGT8.

We report here three high-density maps of variations found among 48 Japanese individuals in three uridine diphosphate glycosyltransferase (UGT) genes, UGT2A1, UGT2B15, and UGT8. A total of 86 single-nucleotide polymorphisms (SNPs) were identified through systematic screening of genomic regions containing these genes: 8 in 5' flanking regions, 7 in coding regions, 67 in introns, 3 in 3' untranslated regions, and 1 in a 3' flanking region. We also discovered 14 variations of other types. Of the 86 SNPs, 63 (73%) were considered to be novel on the basis of comparison of our data with the Database of SNPs (dbSNP) of the National Center for Biotechnology Information. Among the seven SNPs identified in exonic sequences, five were non-synonymous changes that would result in amino-acid substitutions. The collection of SNPs derived from this study will serve as an additional resource for studies of complex genetic diseases and responsiveness to drug therapy.

Chromosome Mapping↗
PubMed2005

SNPs at the APOA5 gene account for the strong association with hypertriglyceridaemia at the APOA5/A4/C3/A1 locus on chromosome 11q23 in the Northern Irish population.

Serum triglyceride levels (TG) are important independent risk factors for coronary heart disease. The apolipoproteins C-III (apoCIII) and A-V (apoAV) are central to normal TG metabolism and the complete sequence analysis of these genes was carried out in severe cases (TG > 9 mmol/l) and controls (TG < 2 mmol/l). A total of 53 SNPs were identified in these genes with 17 being novel to this study. Further analysis defined four APOC3 SNPs and three APOA5 SNPs showing strong association with TG levels. Analysis of the two major SNPs from APOA5 [c.56C > G, c.-3A > G] and from APOC3 [c.102C > T, c.340C > G] using THESIAS has identified two major haplotypes relative to the most common CACC haplotype showing very strong association with hypertriglyceridaemia, CGTG and GATC (odds ratio 7.45 and 5.26). Logistic regression analysis of these four SNPs revealed that, carriage of the APOA5 c.56 G allele (odd ratios 4.49) and the APOA5 c.-3 G allele (odds ratio 3.23) were strong independent predictors of hypertriglyceridaemia (P < 0.001), whereas in contrast, carriage of the APOC3 c102 T allele (odds ratio 1.35) and the APOC3 c.340 G allele (odds ratio 1.37), did not show any significant effects that were independent of APOA5.

Apolipoprotein A-I↗
PubMed2005

Pros and cons in the use of SNPs in forensic kinship investigation: a comparative analysis with STRs.

Recent advances in single nucleotide polymorphisms (SNPs) research have raised the possibility that these markers could replace the forensically established short tandem repeats (STRs). In this work, we compare STRs and SNPs applicability for kinship investigation in terms of expected informative content and probability of occurrence of "difficult cases" (when isolated Mendelian incompatibilities between alleged father and child are found). Since SNPs have a much lower mutation rate than STRs, these difficulties were expected to occur less frequently if SNPs were used instead of STRs. The purpose of this paper is to make some simulations allowing the estimation of how often such difficult cases are expected to occur using both types of markers and how serious can be their impact in routine work. Our results demonstrate that a battery based exclusively on SNPs matching the informative power of current STR kits would be prone, if applied to routine paternity investigation, to the occurrence of cases where the statistical evidence would be inconclusive. We infer that the introduction of a SNP based strategy, as a substitute to the now classical STR approach poses statistical problems that must be carefully evaluated.

Adult↗