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PubMed2006

Positive association between risk for late-onset Alzheimer disease and genetic variation in IDE.

Insulin degrading enzyme (IDE) is one of the principal proteases involved in the degradation of the beta-amyloid peptide, which is the major constituent of senile plaques in Alzheimer's disease (AD) brains. Previous association studies between AD and IDE have produced inconsistent results which may be indicative of a need for larger case-control series to identify what may be a relatively small effect size. Thus, we performed a large association study using four SNPs in the 276-kb haplotype block in and around IDE (IDE_7, IDE_9, IDE_14 and HHEX_23) in a previously unpublished Swedish and a UK case-control series, and combined our data with a previously reported Swedish case-control sample set from Prince et al., 2003. The combined genotype data from 1269 late-onset AD cases and 980 controls yielded a significant association to IDE_9 located in the 3'-end of the IDE gene after conservative multiple testing Bonferroni correction (p=0.005). The effect seemed to predominate in male cases. However, we did not observe a globally significant association to haplotypes generated from three "tag" SNPs. These findings indicate a role for IDE in AD, and provide models that may improve chances of further independent replication.

Aged↗
PubMed2006

Transferability of tag SNPs in genetic association studies in multiple populations.

A general question for linkage disequilibrium-based association studies is how power to detect an association is compromised when tag SNPs are chosen from data in one population sample and then deployed in another sample. Specifically, it is important to know how well tags picked from the HapMap DNA samples capture the variation in other samples. To address this, we collected dense data uniformly across the four HapMap population samples and eleven other population samples. We picked tag SNPs using genotype data we collected in the HapMap samples and then evaluated the effective coverage of these tags in comparison to the entire set of common variants observed in the other samples. We simulated case-control association studies in the non-HapMap samples under a disease model of modest risk, and we observed little loss in power. These results demonstrate that the HapMap DNA samples can be used to select tags for genome-wide association studies in many samples around the world.

Breast Neoplasms↗
PubMed2003

Genetic variability of the marine mussel Mytilus galloprovincialis assessed using two-dimensional electrophoresis.

Two-dimensional electrophoresis (2-DE) has been used to measure the degree of genetic variability of the marine mussel Mytilus galloprovincialis. Genetic polymorphisms were detected in 33 of a total of 86 polypeptides scored among the most abundant proteins from foot samples in 38 individuals. Estimates of average heterozygosity were 0.101+/-0.018 and 0.114+/-0.021 in a natural and a cultured population, respectively, from the NW of the Iberian Peninsula. These are the highest estimates of average heterozygosity reported by 2-DE in an animal species to date. We consider that these data throw open the question of the level of genetic variability detectable by two-dimensional electrophoresis. Multilocus genotype data were used to infer haplotypic frequencies by means of the EM algorithm in order to detect linkage disequilibrium between loci coding abundant proteins. Significant associations were found in 22.7% of the 406 two-locus pairs analysed. Also, clusters of loci in which all pairwise combinations exhibit statistically significant associations were detected and physical linkage between some of these loci is postulated from the linkage disequilibrium data.

Animals↗
PubMed2006

MLR-tagging: informative SNP selection for unphased genotypes based on multiple linear regression.

UNLABELLED: The search for the association between complex diseases and single nucleotide polymorphisms (SNPs) or haplotypes has recently received great attention. For these studies, it is essential to use a small subset of informative SNPs accurately representing the rest of the SNPs. Informative SNP selection can achieve (1) considerable budget savings by genotyping only a limited number of SNPs and computationally inferring all other SNPs or (2) necessary reduction of the huge SNP sets (obtained, e.g. from Affymetrix) for further fine haplotype analysis. A novel informative SNP selection method for unphased genotype data based on multiple linear regression (MLR) is implemented in the software package MLR-tagging. This software can be used for informative SNP (tag) selection and genotype prediction. The stepwise tag selection algorithm (STSA) selects positions of the given number of informative SNPs based on a genotype sample population. The MLR SNP prediction algorithm predicts a complete genotype based on the values of its informative SNPs, their positions among all SNPs, and a sample of complete genotypes. An extensive experimental study on various datasets including 10 regions from HapMap shows that the MLR prediction combined with stepwise tag selection uses fewer tags than the state-of-the-art method of Halperin et al. (2005). AVAILABILITY: MLR-Tagging software package is publicly available at http://alla.cs.gsu.edu/~software/tagging/tagging.html

Algorithms↗
PubMed2004

Family-based tests for associating haplotypes with general phenotype data: application to asthma genetics.

We provide a general purpose family-based testing strategy for associating disease phenotypes with haplotypes when phase may be ambiguous and parental genotype data may be missing. These tests for linkage and association can be used in candidate gene studies with tightly linked markers. Our proposed weighted conditional approach extends the method described in Rabinowitz and Laird to multiple markers. It is attractive because it provides haplotype tests for family-based studies that are efficient and robust to population admixture, phenotype distribution specification, and ascertainment based on phenotypes. It can handle missing parental genotypes and/or missing phase in both offspring and parents. It yields either haplotype-specific (univariate) tests or multi-haplotype (global) tests. This extension has been implemented in the freely available software haplotype FBAT. We used the haplotype FBAT program to test for associations between asthma phenotypes and single nucleotide polymorphisms (SNPs) in the beta-2 adrenergic receptor gene. Whereas no single SNP showed significant association with asthma diagnosis or bronchodilator responsiveness (quantitative trait), a haplotype-based global test found a highly significant association with asthma diagnosis (P value <0.00005) and the measure of bronchodilator responsiveness (P value =0.016).

Algorithms↗
PubMed2005

An artificial neural network for estimating haplotype frequencies.

The problem of estimating haplotype frequencies from population data has been considered by numerous investigators, resulting in a wide variety of possible algorithmic and statistical solutions. We propose a relatively unique approach that employs an artificial neural network (ANN) to predict the most likely haplotype frequencies from a sample of population genotype data. Through an innovative ANN design for mapping genotype patterns to diplotypes, we have produced a prototype that demonstrates the feasibility of this approach, with provisional results that correlate well with estimates produced by the expectation maximization algorithm for haplotype frequency estimation. Given the computational demands of estimating haplotype frequencies for 20 or more single-nucleotide polymorphisms, the ANN approach is promising because its design fits well with parallel computing architectures.

Algorithms↗
PubMed2006

SNP-based markers for discriminating olive (Olea europaea L.) cultivars.

A set of 11 polymorphic markers (1 cleaved amplified polymorphic sequence (CAPS), 2 sequence-characterized amplified regions (SCARs), and 8 single-nucleotide polymorphism (SNP)-derived markers) was obtained for olive cultivar identification by comparing DNA sequences from different accessions. Marker development was more efficient, using sequences from the database rather than cloning arbitrary DNA fragments. Analyses of the sequences of 3 genes from 11 diverse cultivars revealed an SNP frequency of 1 per 190 base pairs in exons and 1 per 149 base pairs in introns. Most mutations were silent or had little perceptible effect on the polypeptide encoded. The higher incidence of transversions (55%) suggests that methylation is not the major driving force for DNA base changes. Evidence of linkage disequilibrium in 2 pairs of markers has been detected. The set of predominantly SNP-based markers was used to genotype 65 olive samples obtained from Europe and Australia, and was able clearly to discriminate 77% of the cultivars. Samples, putatively of the same cultivar but derived from different sources, were revealed as identical, demonstrating the utility of these markers as tools for resolving nomenclature issues. Genotyping data were used for constructing a dendrogram by UPGMA cluster analysis using the simple matching similarity coefficient. Relationships between cultivars are discussed in relation to the route of olive's spread.

Base Sequence↗
PubMed2006

Identification of EFHC2 as a quantitative trait locus for fear recognition in Turner syndrome.

One-third of women with Turner syndrome (45,X) have autism-like social and communication difficulties, despite normal verbal IQ. Deletion mapping of the X-chromosome implicated 5 Mb of Xp11.3-4 as critical for recognition of facial fear, a quantitative measure of social cognition. Variability in fear recognition accuracy in Turner syndrome suggested the existence of a quantitative trait locus (QTL) revealed by X-monosomy. We aimed to identify the gene(s) influencing fear recognition by dense mapping of the 5 Mb region. Initial regression-based association mapping of fear recognition in 93 women with Turner syndrome across the critical region was performed, using genotype data at 242 single nucleotide polymorphisms (SNPs). We identified three regions of interest, in which 52 additional SNPs were genotyped. The third region then contained four SNPs associated with fear recognition (0.0030 > P > 0.00046). We obtained an independent sample of 77 Turner syndrome females that we genotyped for 77 SNPs in the initial regions of interest. Region three showed association in the same direction, maximal at SNPs rs7055196 and rs7887763 (P = 0.022 each). Four SNPs in strong linkage disequilibrium (LD), including this pair, span 40 kb within a novel transcript, EF-hand domain containing 2 (EFHC2). In the combined Turner syndrome samples, the most strongly associated SNP (P = 0.00007) has frequency of 8.8% and an estimated effect size accounting for over 13% of the variance in fear recognition. EFHC2 shows genealogy and extended LD consistent with directional selection. This novel QTL may influence social cognition in the general population and in autism.

Chromosome Mapping↗
PubMed2006

Variant in promoter region of platelet-derived growth factor receptor-alpha (PDGFRalpha) gene is associated with the severity and allergic status of childhood asthma.

BACKGROUND: Upregulation of the platelet-derived growth factor receptor-alpha (PDGFRalpha) in airway myofibroblast cells is one of the mechanisms of airway remodeling. The genetic association between PDGFRalpha promoter polymorphism and severity of childhood asthma was examined. METHODS: Five single nucleotide polymorphisms (SNPs) at the promoter regions of the PDGFRalpha gene were genotyped in 277 unrelated allergic and nonallergic asthmatic children and 93 age-matched controls. Promoter haplotypes were constructed using SNP genotyping data. The serum level of PDGF-AA, the ligand for PDGFRalpha, was assayed by ELISA kits. RESULTS: The genotype distribution of SNP rs1800810 (-1171G/C) in nonallergic asthma was significantly different from controls (p=0.038), as well as its allele distribution (p=0.028). Using haplotype analysis, the combination frequency of the low expression of H1 homozygous and heterozygous genotype (H1/H1+H1/H2) was significantly higher in nonallergic asthma as compared to controls (OR=1.94, CI=1.11-3.39, p<0.02). The frequency of H2/H2 homozygous was higher in persistent asthma than in intermittent asthma (p=0.008, OR=2.625). In addition, the PDGF-AA serum level in H2/H2 homozygous haplotype was significantly lower as compared to non-H2/H2 homozygous haplotype both in asthmatic (138.1+/-62.9 vs. 249.7+/-97.1 ng/ml, p<0.05) and nonallergic asthmatic children (113.8+/-38.0 vs. 256.6+/-58.3 ng/ml, p<0.05). CONCLUSIONS: The developmental deficiency due to the low expression of PDGFRalpha may be one of the susceptible factors for nonallergic asthmatic children. There was also an autocrine effect of lower PDGF-AA and higher PDGFRalpha expression that might lead to airway remodeling causing the severity of asthma.

Adolescent↗
PubMed2006

Evaluating and improving power in whole-genome association studies using fixed marker sets.

Emerging technologies make it possible for the first time to genotype hundreds of thousands of SNPs simultaneously, enabling whole-genome association studies. Using empirical genotype data from the International HapMap Project, we evaluate the extent to which the sets of SNPs contained on three whole-genome genotyping arrays capture common SNPs across the genome, and we find that the majority of common SNPs are well captured by these products either directly or through linkage disequilibrium. We explore analytical strategies that use HapMap data to improve power of association studies conducted with these fixed sets of markers and show that limited inclusion of specific haplotype tests in association analysis can increase the fraction of common variants captured by 25-100%. Finally, we introduce a Bayesian approach to association analysis by weighting the likelihood of each statistical test to reflect the number of putative causal alleles to which it is correlated.

Genetic Markers↗
PubMed2001

High-performance genetic analysis using microfabricated capillary array electrophoresis microplates.

This review focuses on some recent advances in realizing microfabricated capillary array electrophoresis (microCAE). In particular, the development of a novel rotary scanning confocal fluorescence detector has facilitated the high-speed collection of sequencing and genotyping data from radially formatted microCAE devices. The concomitant development of a convenient energy-transfer cassette labeling chemistry allows sensitive multicolor labeling of any DNA genotyping or sequencing analyte. High-performance hereditary haemochromatosis and short tandem repeat genotyping assays are demonstrated on these devices along with rapid mitochondrial DNA sequence polymorphism analysis. Progress in supporting technology such as robotic fluid dispensing and batched data analysis is also presented. The ultimate goal is to develop a parallel analysis platform capable of integrated sample preparation and automated electrophoretic analysis with a throughput 10-100 times that of current technology.

Electrophoresis, Capillary↗
PubMed1993

Typing method for N2-fixing bacteria based on PCR-RFLP--application to the characterization of Frankia strains.

DNA sequences of an intergenic spacer (IGS) and parts of genes in the nif cluster were amplified by the polymerase chain reaction (PCR) using two primers derived from nifD- and nifK-conserved sequences. The PCR products were cleaved by ten 4-base cutting restriction enzymes and the restriction patterns were used as fingerprints to type Frankia strains. The feasability of this PCR-RFLP method for typing Frankia strains was investigated on Frankia reference strains belonging mainly to the Elaeagnaceae infectivity group but also on new Frankia isolates and on other N2-fixing microorganisms. By modulating the stringency of the amplifications, we showed the method allowed to target either Frankia strains or the whole N2-fixing microbial community. DNA digestion patterns were used to estimate the sequence divergence between the Frankia nifD-K fragment. The estimated relationships deduced from these genotypic data correlated well with established Frankia taxonomic schemes.

Actinomycetales↗
PubMed2005

A note on exact tests of Hardy-Weinberg equilibrium.

Deviations from Hardy-Weinberg equilibrium (HWE) can indicate inbreeding, population stratification, and even problems in genotyping. In samples of affected individuals, these deviations can also provide evidence for association. Tests of HWE are commonly performed using a simple chi2 goodness-of-fit test. We show that this chi2 test can have inflated type I error rates, even in relatively large samples (e.g., samples of 1,000 individuals that include approximately 100 copies of the minor allele). On the basis of previous work, we describe exact tests of HWE together with efficient computational methods for their implementation. Our methods adequately control type I error in large and small samples and are computationally efficient. They have been implemented in freely available code that will be useful for quality assessment of genotype data and for the detection of genetic association or population stratification in very large data sets.

Genetics, Population↗
PubMed2006

A Bayesian toolkit for genetic association studies.

We present a range of modelling components designed to facilitate Bayesian analysis of genetic-association-study data. A key feature of our approach is the ability to combine different submodels together, almost arbitrarily, for dealing with the complexities of real data. In particular, we propose various techniques for selecting the "best" subset of genetic predictors for a specific phenotype (or set of phenotypes). At the same time, we may control for complex, non-linear relationships between phenotypes and additional (non-genetic) covariates as well as accounting for any residual correlation that exists among multiple phenotypes. Both of these additional modelling components are shown to potentially aid in detecting the underlying genetic signal. We may also account for uncertainty regarding missing genotype data. Indeed, at the heart of our approach is a novel method for reconstructing unobserved haplotypes and/or inferring the values of missing genotypes. This can be deployed independently or, alternatively, it can be fully integrated into arbitrary genotype- or haplotype-based association models such that the missing data and the association model are "estimated" simultaneously. The impact of such simultaneous analysis on inferences drawn from the association model is shown to be potentially significant. Our modelling components are packaged as an "add-on" interface to the widely used WinBUGS software, which allows Markov chain Monte Carlo analysis of a wide range of statistical models. We illustrate their use with a series of increasingly complex analyses conducted on simulated data based on a real pharmacogenetic example.

Bayes Theorem↗
PubMed1987

A primary genetic linkage map for human chromosome 12.

A primary genetic map for human chromosome 12 has been constructed from data on 23 restriction fragment length polymorphic systems collected in 38 normal families with large sibships. Linkage analysis of the genotypic data has ordered 16 loci into a continuous genetic map of 111 cM in males and 258 cM in females. Although most of the genetic map reflects a higher rate of recombination in females relative to males, significantly more frequent recombination was observed in males than in females in intervals between loci on the distal portion of the short arm of the chromosome. The mapping data shown here will serve as a first step toward a high-resolution genetic map for human chromosome 12.

Animals↗
PubMed2005

Evaluation of molecular methods to determine enterotoxigenic status and molecular genotype of bovine, ovine, human and food isolates of Staphylococcus aureus.

This study evaluated the use of PFGE and single enzyme AFLP techniques for the determination of the genetic relationships between Staphyloccocus aureus isolates from human, bovine, ovine and food related sources and reports the prevalence of 'classic' (sea to see) and 'new' (seg, seh, sei, sej, sem, sen and seo) staphylococcal enterotoxin (se) genes in 92 S. aureus strains. A sub-set of the se genotyping results was confirmed by ELISA and the presence of SE toxin determined in isolates from different sources. A 100% correlation was observed, between detection of enterotoxin genes sea-see and expression of corresponding enterotoxin proteins in vitro. The se genotyping data generated from 90 of the S. aureus isolates showed that many of the S. aureus strains producing identical se genotypes correlated with both AFLP and PFGE pattern types. However, single enzyme AFLP technique did not possess the discriminatory power of the PFGE method, but similar clonal relationships were observed by both techniques in many of the isolates tested. Results reported here include the first comprehensive study using a single enzyme AFLP technique to investigate the genetic background of S. aureus isolates from a wide distribution including animal, human and food related sources.

Animals↗
PubMed2001

Age-related maculopathy: an expanded genome-wide scan with evidence of susceptibility loci within the 1q31 and 17q25 regions.

PURPOSE: We seek to identify genetic loci that contribute to age-related maculopathy susceptibility. METHODS: Families consisting of at least two siblings affected by age-related maculopathy were ascertained using eye care records and fundus photographs. Additional family members were used to increase the power to detect linkage. Microsatellite genotyping was conducted by the National Heart, Lung and Blood Institute Mammalian Genotyping Service and the National Institutes of Health Center for Inherited Disease Research. Linkage analyses were conducted with parametric (autosomal dominant; heterogeneity lod score) and nonparametric methods (S(all) statistic) using three diagnostic models. False-positive rates were determined from simulations using actual pedigrees and genotyping data. RESULTS: Under our least stringent diagnostic model, model C, 860 affected individuals from 391 families (452 sib pairs) were genotyped. Sixty-five percent of the affected individuals had evidence of exudative disease. Four regions, 1q31, 9p13, 10q26, and 17q25, showed multipoint heterogeneity lod scores or S(all) scores of 2.0 or greater (under at least one model). Under our most stringent diagnostic model, model A, the 1q31 heterogeneity lod score was 2.46 between D1S1660 and D1S1647. Under model C, the 17q25 heterogeneity lod score at D17S928 was 3.16. Using a threshold of 1.5, additional loci on chromosomes 2 and 12 were identified. CONCLUSIONS: The locus on chromosome 1q31 independently confirms a report by Klein and associates mapping an age-related maculopathy susceptibility gene to this region. Simulations indicate that the 1q31 and 17q25 loci are unlikely to be false positives. There was no evidence that other known macular or retinal dystrophy candidate gene regions are major contributors to the genetics of age-related maculopathy.

Aged↗
PubMed2003

Candidate genes for anorexia nervosa in the 1p33-36 linkage region: serotonin 1D and delta opioid receptor loci exhibit significant association to anorexia nervosa.

Serotonergic and opioidergic neurotransmitter system alterations have been observed in people with eating disorders; the genes for the serotonin 1D receptor (HTR1D) and the opioid delta receptor (OPRD1) are found on chr1p36.3-34.3, a region identified by our group in a linkage analysis of anorexia nervosa (AN). These candidate genes were evaluated for sequence variation and for linkage and association of this sequence variation to AN in family and case : control data sets. Resequencing of the HTR1D locus and a portion of the OPRD1 locus identified novel SNPs and confirmed existing SNPs. Genotype assay development and genotyping of nine SNPs (four at HTR1D and five at OPRD1) was performed on 191 unrelated individuals fulfilling DSM-IV criteria (w/o amenorrhea criterion) for AN, 442 relatives of AN probands and 98 psychiatrically screened controls. Linkage analysis of these candidate gene SNPs with 33 microsatellite markers in families including relative pairs concordantly affected with restricting AN (N=37) substantially increased the evidence for linkage of this region to restricting AN to an NPL score of 3.91. Statistically significant genotypic, allelic, and haplotypic association to AN in the case : control design was observed at HTR1D and OPRD1 with effect sizes for individual SNPs of 2.63 (95% CI=1.21-5.75) for HTR1D and 1.61 (95% CI=1.11-2.44) for OPRD1. Using genotype data on parents and AN probands, three SNPs at HTR1D were found to exhibit significant transmission disequilibrium (P&<0.05). The combined statistical genetic evidence suggests that HTR1D and OPRD1 or linked genes may be involved in the etiology of AN.

Anorexia Nervosa↗