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At least 271 records · Page 15Linked to original sources
PubMed2003

ABCA1 gene polymorphisms and their associations with coronary artery disease and plasma lipids in males from three ethnic populations in Singapore.

Mutations in the ATP-binding cassette transporter ABCA1 underlie Tangier disease and familial hypoalphaliproteinemia (FHA), disorders that are characterised by reduced high-density lipoprotein-cholesterol (HDL-C) concentration and cholesterol efflux, and increased coronary artery disease (CAD). We explored if polymorphisms in the ABCA1 gene are associated with CAD and variations in plasma lipid levels, especially HDL-C, and whether the associations may depend on ethnicity. Male cases and controls from the Singapore Chinese, Malay and Indian populations were genotyped for five ABCA1 single nucleotide polymorphisms. Various single-locus frequency distribution differences between cases and controls were detected in different ethnic groups: the promoter -14C>T in Indians, exon 18 M883I in Malays, and 3'-untranslated (UTR) region 8994A>G in Chinese. For the Malay population, certain haplotypes carrying the I825- A (exon 17) and M883- G alleles were more frequent among cases than controls, whereas the converse was true for the alternative configuration of V825- G and I883- A, and this association was reinforced in multi-locus disequilibrium analysis that utilized genotypic data. In the healthy controls, associations were found for -14C>T genotypes with HDL-C in Chinese; 237indelG (5'UTR) with apolipoprotein A1 (apoA1) in Malays and total cholesterol (TC) in Indians; M883I with lipoprotein(a) [Lp(a)] in Malays and apolipoprotein B (apoB) in Chinese; and 8994A>G with Lp(a) in Malays, and TC, low-density lipoprotein-cholesterol (LDL-C) as well as apoB in Indians. While genotype-phenotype associations were not reproduced across populations and loci, V825I and M883I were clearly associated with CAD status in Malays with no effects on HDL-C or apoA1.

ATP Binding Cassette Transporter 1↗
PubMed1991

Histologic, immunophenotypic and genotypic analyses of bone marrow trephines from patients with non-Hodgkin's lymphoma.

Marrow involvement in 20 patients with non-Hodgkin's lymphoma (NHL) were studied by histology, immunophenotypic and genotypic methods. Eighteen of these trephines were histologically involved with recognizable lymphomatous infiltrates and five of these were the primary disease site. In the remaining two cases (with histologically involved lymph nodes) the trephines were uninvolved with tumour. Three B-cell cases expressing surface immunoglobulin (sIg) and/or CD37 and one case not analysed phenotypically showed Ig gene rearrangements. The two remaining cases with B NHL showed no gene rearrangements, however, in one of these the trephine was histologically uninvolved with tumour. Twelve out of 14 T-cell cases were characterized by variable or absent expression of one or more T-cell antigens from the tumour population, one case was negative for all T-cell antigens and the remaining case was not histologically involved with tumour. All three lymphoblastic lymphomas and only 4/11 peripheral T-cell lymphomas (PTCL) cases revealed T-cell receptor (TcR) gene rearrangements. One of the latter cases also exhibited Ig JH gene rearrangements. This study demonstrates the usefulness of bone marrow trephines (BMT) in histologic, phenotypic and genotypic analyses. However, although genotypic data confirm clonality in B NHL and the lymphoblastic lymphomas there was genotypic heterogeneity within the PTCL group.

Antigens, CD↗
PubMed2002

Transmission/disequilibrium test when neither parent is available in some families: a non-iterative approach.

BACKGROUND: The transmission/disequilibrium test (TDT) is a simple method of detecting linkage between a marker locus and a disease-susceptibility locus. The test requires genotype data from the affected individuals (the probands) and their parents, the 'case-parents triads'. However, missing data from parents often complicate the situations. Several non-iterative methods, such as the sibling-based TDT, the reconstruction-combined TDT, and the 1-TDT have been proposed to deal with the problem. But when the father, the mother, and other non-proband siblings in a family are all unavailable for study, that family has to be excluded from analysis by any of the above methods. METHODS: The author proposes a new non-iterative method to deal with the situation when the data contain some 'orphaned' probands. The method utilises the complete data from case-parents triads to infer probabilistically the missing parental genotypes, under the assumption that the missingness is independent of genotype and ethnic origin. The methods can be tailored to specific genetic models, such as the gene-dose, dominance, and recessive alternatives. RESULTS: Simulation analysis shows that, under the null hypothesis of no linkage, the proposed method is not prone to produce an excess of false positive results, even in complex situations such as population stratification or assortive mating. Under the linkage alternative, the new method recaptures much of the information that would be lost by discarding the orphaned probands. DISCUSSION: The method provides a way for dealing with the situation where neither parents nor siblings are available in a TDT study.

Algorithms↗
PubMed1999

Genetic characterization of Cryptosporidium strains from 218 patients with diarrhea diagnosed as having sporadic cryptosporidiosis.

Samples of whole feces in which Cryptosporidium oocysts were recognized by hospital laboratories were collected from 218 patients with diarrhea. All samples were reexamined by light microscopy, and oocysts were detected in 211 samples. A simple and rapid procedure for the extraction of DNA from whole feces was developed, and this was used to amplify fragments of the Cryptosporidium outer wall protein (COWP), the thrombospondin-related adhesive protein C1 (TRAP-C1), and the 18S rRNA genes by PCR. For seven samples oocysts were not detected by microscopy and DNA failed to be amplified by the three PCR procedures. Among the 211 samples "positive" by microscopy, the sensitivities of PCRs for the 18S rRNA, COWP, and TRAP-C1 gene fragments were 97, 91, and 66%, respectively. The sensitivities of all three PCR procedures increased with increasing numbers of oocysts as observed by microscopy. Two genotypes of the COWP and TRAP-C1 genes can be detected by PCR-restriction fragment length polymorphism analysis. With this series of samples, the same genotypes of the COWP and TRAP-C1 genes always segregated together. A combined genotyping data set was produced for isolates from 194 samples: 74 (38%) were genotype 1 and 120 (62%) were genotype 2. Genotype 2 was detected in a significantly greater proportion of the samples with small numbers of oocysts, and genotype 1 was detected in a significantly greater proportion of the samples with larger numbers of oocysts. There were no significant differences in the distribution of the genotypes by patient sex and age. The distribution of the genotypes was significantly different both in patients with a history of foreign travel and in those from different regions in England.

Adolescent↗
PubMed2004

Polymorphisms in neprilysin gene affect the risk of Alzheimer's disease in Finnish patients.

OBJECTIVES: Neprilysin (NEP) is an amyloid beta-peptide (Abeta) degrading enzyme expressed in the brain, and accumulation of Abeta is the neuropathological hallmark in Alzheimer's disease (AD). In this study we investigated whether polymorphisms in the NEP gene have an effect on the risk for AD. METHODS: The frequencies of seven single nucleotide polymorphisms (SNPs) and apolipoprotein E (APOE) were assessed in 390 AD patients and 468 cognitively healthy controls. Genotypes of the study groups were compared using binary logistic regression analysis. Haplotype frequencies of the SNPs were estimated from genotype data. RESULTS: Two SNPs, rs989692 and rs3736187, had significantly different allelic and genotypic frequencies (uncorrected p = 0.01) between the AD and the control subjects and haplotype analysis showed significant association between AD and NEP polymorphisms. CONCLUSION: Taken together, these findings suggest that polymorphisms in the NEP gene increase risk for AD and support a potential role for NEP in AD.

Aged↗
PubMed2003

Haplotype tagging single nucleotide polymorphisms and association studies.

OBJECTIVES: Discrete blocks of low haplotype diversity exist within the human genome. The non-redundant subset of 'haplotype tagging' single nucleotide polymorphisms (htSNPs) in such blocks can distinguish a majority of the haplotypes. Several approaches have been proposed to determine htSNPs, ranging from visual inspection to formal analytic procedures. Optimal htSNPs can be estimated using a small subgroup of an association study population that have been genotyped for a dense SNP map, and it is just these htSNPs that are genotyped in the remainder of the samples. We investigated by simulation how the size of the subsample affects the power of association studies, and what type of subjects it should include. METHODS: We used the program tagSNPs [Stram et al., Hum Hered 2003;55:27-36], which selects htSNPs to minimize the uncertainty in predicting common haplotypes for individuals with unphased genotype data. RESULTS: On average, 27% of the SNPs were designated as htSNPs. Genotyping as few as 25 unphased individuals to select the htSNPs did not appear to reduce the power of an association study, as compared with using all SNPs. For the disease models considered, selecting htSNPs based on cases, controls, or a mixture of both gave similar results. CONCLUSIONS: These results suggest that the genotyping effort in an association study can be substantially reduced with little loss of power by identifying htSNPs in a small subsample of individuals.

Chromosome Mapping↗
PubMedDate not supplied

Interethnic differences in coronary heart disease mortality in 25 populations: association with the angiotensin-converting enzyme DD genotype frequency.

BACKGROUND: Despite changes in dietary habits and steadily increasing serum cholesterol concentrations, coronary heart disease (CHD) mortality rates in developed South-East Asian populations are still one quarter those in many Western populations. We propose that genetic factors may, in part, contribute to these differences in CHD mortality. DESIGN: Using an ecological study design, we have investigated the comparative roles of serum cholesterol concentration and the angiotensin-converting enzyme (ACE) homozygote deletion (DD) genotype frequency, which has recently been implicated in CHD mortality. METHODS: Using our genotyping data from local Chinese populations, together with previously published data on ACE gene frequency and cholesterol concentrations, we correlated ACE DD genotype frequencies and mean serum cholesterol concentrations with World Health Organization age-adjusted CHD mortality rates in 25 ethnically diverse populations. RESULTS: Although mean serum cholesterol accounted for 67% of the variance in CHD mortality rates for all populations (r=0.82, 95% Cl 0.63-0.92, n=25, P<0.001), the ACE DD frequency accounted for 61% of the variance in 'low' cholesterol populations (r=0.78, 95% Cl 0.43-0.91, n= 14, P<0.001) with no additional contribution from serum cholesterol concentration. Moreover, in the 'low' cholesterol population, mean serum cholesterol accounted for only 37% of the variance. CONCLUSION: We hypothesize that differences in the frequency of the ACE DD genotype in populations with low mean serum cholesterol concentrations may play some part in determining interethnic differences in CHD mortality rates.

Adolescent↗
PubMed1996

Error detection for genetic data, using likelihood methods.

As genetic maps become denser, the effect of laboratory typing errors becomes more serious. We review a general method for detecting errors in pedigree genotyping data that is a variant of the likelihood-ratio test statistic. It pinpoints individuals and loci with relatively unlikely genotypes. Power and significance studies using Monte Carlo methods are shown by using simulated data with pedigree structures similar to the CEPH pedigrees and a larger experimental pedigree used in the study of idiopathic dilated cardiomyopathy (DCM). The studies show the index detects errors for small values of theta with high power and an acceptable false positive rate. The method was also used to check for errors in DCM laboratory pedigree data and to estimate the error rate in CEPH-chromosome 6 data. The errors flagged by our method in the DCM pedigree were confirmed by the laboratory. The results are consistent with estimated false-positive and false-negative rates obtained using simulation.

Cardiomyopathy, Dilated↗
PubMed2005

Aspects influencing genotyping method selection.

The variety of genotyping methods currently available and the evolution of their capabilities have facilitated an expansion of the field of pharmacogenomics. Traditionally, limited genotyping capabilities have restricted the generation and application of genotyping data for pharmacogenomic studies. With the variety of platforms and chemistries available for flexible, high-throughput genotyping, it is important to keep in mind the limitations imposed by both the polymorphisms that are to be interrogated and the type of pharmacogenomics study for which the data are being generated. This chapter is an overview of the constraints these factors impose on different genotyping methods and describes aspects important to the integration of genotyping into a pharmacogenomics study.

Alleles↗
PubMed1996

Testing for homogeneity of Hardy-Weinberg disequilibrium using data sampled from several populations.

Olson (1993, Annals of Human Genetics 57, 291-295) proposed a large-sample test of Hardy-Weinberg equilibrium when genotype data are sampled from several populations with different allele frequencies. The test assumes that a ratio measure of disequilibrium is constant across the populations. In this paper, we consider the problem of testing the assumption of homogeneity of that ratio and propose both a large-sample test and an exact test. The large-sample test is appropriate if sample sizes in all strata are sufficiently large, but is strongly anticonservative if some strata are small. In the latter case, the exact test is preferred and we approximate the P-value of this test using a Markov chain Monte Carlo approach.

Alleles↗
PubMed2001

Detecting population outliers and null alleles in linkage data: application to GAW12 asthma studies.

Error-checking procedures are essential to ensure accurate and powerful linkage analysis. Genotype information across families can be used to identify non-amplification of alleles (null alleles) and between-family population sub-structuring, which can result in loss of power in linkage studies if undetected. Methods to identify population outlier individuals and null alleles are applied to genotype data from two asthma genome searches (German and CSGA) available from Genetic Analysis Workshop 12. Two clear population outliers are observed in the German data set, with further evidence of population sub-structuring. In the CSGA data, a significant excess of homozygous individuals is found at D8S1106, suggestive of a null allele at this marker with an estimated frequency of 0.17 (African-American) and 0.20 (Caucasian).

Alleles↗
PubMed2002

Haplotype frequency estimation in patient populations: the effect of departures from Hardy-Weinberg proportions and collapsing over a locus in the HLA region.

Haplotype analyses are an important area in the study of the genetic components of human disease. Associations between markers and disease loci that are not evident with a single marker locus may be identified in multi-locus marker analyses using estimated haplotype frequencies (HFs). Procedures that make use of the expectation-maximization (EM) algorithm to estimate HFs from unphased genotype data are in common use in genetic studies. The EM algorithm uses these unphased genotype frequencies along with the assumption of Hardy-Weinberg proportions (HWP) to converge on HF estimates. In this paper, we assess the accuracy of EM estimates of HFs in patients with type I diabetes for whom the true haplotypes are known, but the data are analyzed ignoring family information to allow comparison between estimated and true frequencies. The data consist of six HLA loci with high levels of polymorphism and a range of departures from HWP and linkage equilibrium. While the overall accuracy of the EM estimates is good, there can be large over- and underestimates of particular HFs, even for common haplotypes, especially when the loci involved deviate significantly from HWP. Estimating HFs for three or more loci and then collapsing over loci so as to generate two locus haplotypes can improve the accuracy of the estimation. The collapsing procedure is most beneficial when one of the loci in the two-locus haplotype of interest deviates significantly from HWP and the locus collapsed over is in linkage disequilibrium with the other loci.

Algorithms↗
PubMed2006

An analysis paradigm for investigating multi-locus effects in complex disease: examination of three GABA receptor subunit genes on 15q11-q13 as risk factors for autistic disorder.

Gene-gene interactions are likely involved in many complex genetic disorders and new statistical approaches for detecting such interactions are needed. We propose a multi-analytic paradigm, relying on convergence of evidence across multiple analysis tools. Our paradigm tests for main and interactive effects, through allele, genotype and haplotype association. We applied our paradigm to genotype data from three GABAA receptor subunit genes (GABRB3, GABRA5, and GABRG3) on chromosome 15 in 470 Caucasian autism families. Previously implicated in autism, we hypothesized these genes interact to contribute to risk. We detected no evidence of main effects by allelic (PDT, FBAT) or genotypic (genotype-PDT) association at individual markers. However, three two-marker haplotypes in GABRG3 were significant (HBAT). We detected no significant multi-locus associations using genotype-PDT analysis or the EMDR data reduction program. However, consistent with the haplotype findings, the best single locus EMDR model selected a GABRG3 marker. Further, the best pairwise genotype-PDT result involved GABRB3 and GABRG3, and all multi-locus EMDR models also selected GABRB3 and GABRG3 markers. GABA receptor subunit genes do not significantly interact to contribute to autism risk in our overall data set. However, the consistency of results across analyses suggests that we have defined a useful framework for evaluating gene-gene interactions.

Autistic Disorder↗
PubMed2006

Power-based, phase-informed selection of single nucleotide polymorphisms for disease association screens.

Single nucleotide polymorphisms (SNPs) are becoming widely used as genotypic markers in genetic association studies of common, complex human diseases. For such association screens, a crucial part of study design is determining what SNPs to prioritize for genotyping. We present a novel power-based algorithm to select a subset of tag SNPs for genotyping from a map of available SNPs. Blocks of markers in strong linkage disequilibrium (LD) are identified, and SNPs are selected to represent each block such that power to detect disease association with an underlying disease allele in LD with block members is preserved; all markers outside of blocks are also included in the tagging subset. A key, novel element of this method is that it incorporates information about the phase of LD observed among marker pairs to retain markers likely to be in coupling phase with an underlying disease locus, thus increasing power compared to a phase-blind approach. Power calculations illustrate important issues regarding LD phase and make clear the advantages of our approach to SNP selection. We apply our algorithm to genotype data from the International HapMap Consortium and demonstrate that considerable reduction in SNP genotyping may be attained while retaining much of the available power for a disease association screen. We also demonstrate that these tag SNPs effectively represent underlying variants not included in the LD analysis and SNP selection, by using leave-one-out tests to show that most (approximately 90%) of the "untyped" variants lying in blocks are in coupling-phase LD with a tag SNP. Additional performance tests using the HapMap ENCyclopedia of DNA Elements (ENCODE) regions show that the method compares well with the popular r2 bin tagging method. This work is a concrete example of how empirical LD phase may be used to benefit study design.

Algorithms↗
PubMed2005

EPHX1 gene polymorphisms and individual susceptibility to lung cancer.

We investigated the roles of EPHX1 Tyr113His and His139Arg polymorphisms in lung cancer susceptibility in a Finnish study population comprising of 230 lung cancer cases and a large control group (n=2105). The controls were distributed into five age strata, which enabled us to examine the potential age-related changes in the putative EPHX1 at-risk genotypes in the cancer free population. Although the exon 3 slow activity associated allele (His113) containing genotypes posed a decreased lung cancer risk compared with the homozygous wild-type Tyr113/Tyr113 genotype (OR, 0.68; 95% CI, 0.49-0.94), no association was seen for the EPHX1 phenotypes interpreted from the combined exons 3 and 4 genotype data. Neither was any difference seen in the prevalence of the EPHX1 Tyr113His genotypes or interpreted EPHX1 phenotypes in the different age groups.

Adult↗
PubMed2004

Detection of genotyping errors by Hardy-Weinberg equilibrium testing.

Genotyping data sets may contain errors that, in some instances, lead to false conclusions. Deviation from Hardy-Weinberg equilibrium (HWE) in random samples may be indicative of problematic assays. This study has analysed 107,000 genotypes generated by TaqMan, RFLP, sequencing or mass spectrometric methods from 443 single-nucleotide polymorphisms (SNPs). These SNPs are distributed both within genes and in intergenic regions. Genotype distributions for 36 out of 313 assays (11.5%) whose minor allele frequencies were >0.05 deviated from HWE (P<0.05). Some of the possible reasons for this deviation were explored: assays for five SNPs proved nonspecific, and genotyping errors were identified in 21 SNPs. For the remaining 10 SNPs, no reasons for deviation from HWE were identified. We demonstrate the successful identification of a proportion of nonspecific assays, and assays harbouring genotyping error. Consequently, our current high-throughput genotyping system incorporates tests for both assay specificity and deviation from HWE, to minimise the genotype error rate and therefore improve data quality.

DNA↗
PubMed2005

Identification of polymorphic motifs using probabilistic search algorithms.

The problem of identifying motifs comprising nucleotides at a set of polymorphic DNA sites, not necessarily contiguous, arises in many human genetic problems. However, when the sites are not contiguous, no efficient algorithm exists for polymorphic motif identification. A search based on complete enumeration is computationally inefficient. We have developed probabilistic search algorithms to discover motifs of known or unknown lengths. We have developed statistical tests of significance for assessing a motif discovery, and a statistical criterion for simultaneously estimating motif length and discovering it. We have tested these algorithms on various synthetic data sets and have shown that they are very efficient, in the sense that the "true" motifs can be detected in the vast majority of replications and in a small number of iterations. Additionally, we have applied them to some real data sets and have shown that they are able to identify known motifs. In certain applications, it is pertinent to find motifs that contain contrasting nucleotides at the sites included in the motif (e.g., motifs identified in case-control association studies). For this, we have suggested appropriate modifications. Using simulations, we have discovered that the success rate of identification of the correct motif is high in case-control studies except when relative risks are small. Our analyses of evolutionary data sets resulted in the identification of some motifs that appear to have important implications on human evolutionary inference. These algorithms can easily be implemented to discover motifs from multilocus genotype data by simple numerical recoding of genotypes.

Africa↗
PubMed2000

The effects of pollen and seed migration on nuclear-dicytoplasmic systems. II. A new method for estimating plant gene flow from joint nuclear-cytoplasmic data.

A new maximum-likelihood method is developed for estimating unidirectional pollen and seed flow in mixed-mating plant populations from counts of joint nuclear-cytoplasmic genotypes. Data may include multiple unlinked nuclear markers with a single maternally or paternally inherited cytoplasmic marker, or with two cytoplasmic markers inherited through opposite parents, as in many conifer species. Migration rate estimates are based on fitting the equilibrium genotype frequencies under continent-island models of plant gene flow to the data. Detailed analysis of their equilibrium structures indicates when each of the three nuclear-cytoplasmic systems allows gene flow estimation and shows that, in general, it is easier to estimate seed than pollen migration. Three-locus nuclear-dicytoplasmic data only increase the conditions allowing seed migration estimates; however, the additional dicytonuclear disequilibria allow more accurate estimates of both forms of gene flow. Estimates and their confidence limits for simulated data sets confirm that two-locus data with paternal cytoplasmic inheritance provide better estimates than those with maternal inheritance, while three-locus dicytonuclear data with three modes of inheritance generally provide the most reliable estimates for both types of gene flow. Similar results are obtained for hybrid zones receiving pollen and seed flow from two source populations. An estimation program is available upon request.

Cell Nucleus↗