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PubMed2004

Issues in association analysis: error control in case-control association studies for disease gene discovery.

Several sources of errors are discussed. While genotyping errors have little effect on power in case-control association studies, they tend to strongly increase false positive results in TDT type tests unless occurrence of errors is allowed for in the analysis (e.g., TDTae test). Disregarding non-genetic risk factors is shown to lead to a form of hidden heterogeneity, which can strongly reduce power. Stratification of data into more homogeneous subgroups is advocated as a simple solution to allowing for non-genetic risk factors such as socio-economic status and food preferences.

Case-Control Studies↗

PubMed2004

Parental phenotypes in family-based association analysis.

Family-based association designs are popular, because they offer inherent control of population stratification based on age, sex, ethnicity, and environmental exposure. However, the efficiency of these designs is hampered by current analytic strategies that consider only offspring phenotypes. Here, we describe the incorporation of parental phenotypes and, specifically, the inclusion of parental genotype-phenotype correlation terms in association tests, providing a series of tests that effectively span an efficiency-robustness spectrum. The model is based on the between-within-sibship association model presented in 1999 by Fulker and colleagues for quantitative traits and extended here to nuclear families. By use of a liability-threshold-model approach, standard dichotomous and/or qualitative disease phenotypes can be analyzed (and can include appropriate corrections for phenotypically ascertained samples), which allows for the application of this model to analysis of the commonly used affected-proband trio design. We show that the incorporation of parental phenotypes can considerably increase power, as compared with the standard transmission/disequilibrium test and equivalent quantitative tests, while providing both significant protection against stratification and a means of evaluating the contribution of stratification to positive results. This methodology enables the extraction of more information from existing family-based collections that are currently being genotyped and analyzed by use of standard approaches.

Female↗

PubMed2005

Association analysis of chromosome 5 GABAA receptor cluster in Japanese schizophrenia patients.

BACKGROUND: Several investigations suggest that abnormalities in gamma-amino butyric acid (GABA) neurotransmission systems may be related to the pathophysiology of schizophrenia. A GABA(A) receptor gene cluster on 5q31-35 (beta2 [GABRB2], alpha6 [GABRA6], alpha1 [GABRA1], and gamma2 [GABRG2] subunit genes) is one of the most attractive candidate regions for schizophrenia susceptibility. METHODS: We performed 1) systematic polymorphism search of GABRB2, GABRA6, and GABRA1, in addition to our colleague's study of GABRG2; 2) evaluation of linkage disequilibrium (LD) within this cluster with 35 single nucleotide polymorphisms (SNPs); 3) "selection of haplotype-tagging (ht) SNPs"; and 4) two-stage association analysis that comprised first-set screening analysis of all htSNPs (288 Japanese schizophrenia patients and 288 control subjects) and second-set replication analysis of the positive htSNPs (901 schizophrenic patients and 806 control subjects). RESULTS: In the first-set scan, we found a significant association of two htSNPs in GABRA1, but no association of GABRB2, GABRA6, and GABRG2. In the following second-set analysis, however, we could not confirm these significant associations. CONCLUSIONS: These results indicate that this gene cluster may not play a major role in Japanese schizophrenia. They also raised an alert with regard to preliminary genetic association analysis using a small sample size.

Adult↗

PubMed2005

Comparison of population- and family-based methods for genetic association analysis in the presence of interacting loci.

We compared different ascertainment schemes for genetic association analysis: affected sib-pairs (ASPs), case-parent trios, and unrelated cases and controls. We found, with empirical type 1 diabetes data at four known disease loci, that studies based on case-parent trios and on unmatched cases and controls often gave higher odds ratio estimates and stronger significance test values than ASP designs. We used simulations and a simplified disease model involving two interacting loci, one of large effect and one smaller, to examine interaction models that could cause such an effect. The different ascertainment schemes were compared for power to detect an effect when only the locus of smaller effect was genotyped. ASPs showed the greatest power for association testing under most models of interaction except under additive and certain epistatic crossover models, for which case/controls and case-parent trios did better. All ascertainment schemes gave an unbiased estimation of log genotype relative risks (GRRs) under a multiplicative model. Under nonmultiplicative interactions, GRRs at the minor locus as estimated from ASPs could be biased upwards or downwards, resulting in either an increase or decrease in power compared to the case/control or trio design. For the four known type 1 diabetes loci, we observed decreased risks with ASPs, which could be due to additive interactions with the remaining susceptibility loci. Thus, the optimal ascertainment strategy in genetic association studies depends on the unknown underlying multilocus genetic model, and on whether the goal of the study is to detect an effect or to accurately estimate the resulting disease risks.

Diabetes Mellitus, Type 1↗

PubMed2005

[Association analysis between polymorphisms of PON gene cluster with coronary heart disease in Chinese].

An extensive association analysis of PON gene cluster (PONs) with coronary heart disease (CHD) was performed in Chinese Han population. Eleven polymorphisms of PON1, PON2 and PON3 gene were investigated for association with CHD in 474 male patients and 475 controls. Univariate analyses showed the cases had significantly higher frequencies of PON1 192Q allele, 160R allele, -162A allele and PON2 311C allele than were seen in the controls. Logistic regression analyses revealed only the PON1 R160G and -162G/A polymorphisms remained significantly associated with CHD (P = 0.0054 and P = 0.0002). Haplotype analyses for various polymorphism combinations further confirmed the results of individual polymorphism analyses. Only the frequencies of haplotypes containing -162A allele were significantly higher,whereas only the frequencies of haplotypes containing 160G allele significantly lower in cases than those in controls in various polymorphism combinations. This extensive association study has identified the PON1 -162G/A and R160G polymorphisms to be independently associated with CHD in Chinese Han population,and warrants further study to elucidate the biological mechanism.

Adult↗

PubMed2006

Generalized genomic distance-based regression methodology for multilocus association analysis.

Large-scale, multilocus genetic association studies require powerful and appropriate statistical-analysis tools that are designed to relate genotype and haplotype information to phenotypes of interest. Many analysis approaches consider relating allelic, haplotypic, or genotypic information to a trait through use of extensions of traditional analysis techniques, such as contingency-table analysis, regression methods, and analysis-of-variance techniques. In this work, we consider a complementary approach that involves the characterization and measurement of the similarity and dissimilarity of the allelic composition of a set of individuals' diploid genomes at multiple loci in the regions of interest. We describe a regression method that can be used to relate variation in the measure of genomic dissimilarity (or "distance") among a set of individuals to variation in their trait values. Weighting factors associated with functional or evolutionary conservation information of the loci can be used in the assessment of similarity. The proposed method is very flexible and is easily extended to complex multilocus-analysis settings involving covariates. In addition, the proposed method actually encompasses both single-locus and haplotype-phylogeny analysis methods, which are two of the most widely used approaches in genetic association analysis. We showcase the method with data described in the literature. Ultimately, our method is appropriate for high-dimensional genomic data and anticipates an era when cost-effective exhaustive DNA sequence data can be obtained for a large number of individuals, over and above genotype information focused on a few well-chosen loci.

Chitinases↗

PubMedDate not supplied

Rapid prenatal diagnosis of trisomy 21 by polymerase chain reaction- associated analysis of small tandem repeats and S100B in chromosome 21.

OBJECTIVES: The incidence of Down syndrome increases with maternal age and a rapid and accurate method for prenatal diagnosis is a necessity. This study was devised to evaluate and compare the methods for detecting trisomy 21 by polymerase chain reaction (PCR)-associated analysis of small tandem repeats (STR) of D21S11 and semiquantitative analysis of S100B of chromosome 21. METHODS: PCR was performed with DNA template obtained from 20 normal samples (10 blood, 10 amniotic fluid) and 12 Down syndrome samples (10 blood, 2 amniotic fluid). 32P-labelled primers for D21S11 and S100B were used. PCR products for D21S11 were subjected to polyacrylamide urea gel (6%) electrophoresis, followed by exposure to X-ray film, and then the densities of signals were recorded by densitometer. PCR products for S100B and insulin-like growth factor-I (IGF-I) as an internal control were subjected to agarose gel (2%) electrophoresis and the relative amounts of radioactivity in their products were measured to assess the quantitation of template DNA. RESULTS: Analysis of D21S11 STR showed equivalent triplets in 4 cases and unequivalent doublets (1:2) in 8 Down syndrome samples. The normal control group showed singlets in 5 cases and equivalent doublets in 15 cases. In the analysis of S100B, the ratios of S100B to IGF-I was 1.4-1.6 in 7 of 12 Down syndrome samples, while the ratios of S100B in all normal samples were close to 1.0. All the results were obtained within 24 h. The D21S11 STR analysis managed to distinguish more clearly between normal and trisomy 21, while semiquantitative PCR analysis of S100B was less able to assess trisomy 21. CONCLUSION: Prenatal diagnosis of trisomy 21 by PCR-associated STR analysis of D21S11 and semiquantitative analysis of S100B are useful, innovative, accurate and rapid diagnostic methods, while D21S11 STR analysis is more discriminating in detecting trisomy 21 and also may be employed in preimplantation diagnosis of Down syndrome.

Calcium-Binding Proteins↗

PubMed2003

Extensive association analysis between polymorphisms of PON gene cluster with coronary heart disease in Chinese Han population.

OBJECTIVE: An extensive association analysis of PON gene cluster (PONs) with coronary heart disease (CHD) was performed in Chinese Han population. METHODS AND RESULTS: Thirty polymorphisms of PON1, PON2, and PON3 gene were identified by direct sequencing of genomic DNA derived from 48 randomly selected patients. Twelve polymorphisms were additionally investigated for association with CHD in 474 male patients and 475 controls. Univariate analyses showed the cases had significantly higher frequencies of PON1 192Q allele, 160R allele, -162A allele, and PON2 311C allele than were seen in the controls. Logistic regression analyses revealed only the PON1 R160G and -162G/A polymorphisms remained significantly associated with CHD (P=0.0054 and P=0.0002). Haplotype analyses for various polymorphism combinations additionally confirmed the results of individual polymorphism analyses. Only the frequencies of haplotypes containing -162A allele were significantly higher, whereas only the frequencies of haplotypes containing 160G allele were significantly lower in cases than in controls in various polymorphism combinations. CONCLUSIONS: This extensive association study has identified the PON1 -162G/A and R160G polymorphisms to be independently associated with CHD in Chinese Han population and warrants additional study to elucidate the biological mechanism.

Alleles↗

PubMed2003

Association analysis of bone mineral density and single nucleotide polymorphisms in two candidate genes on chromosome 1p36.

Two candidate genes for bone mineral density (BMD), tumor necrosis factor alpha receptor 2 (TNFRSF1B) and lysyl hydroxylase (PLOD1), have been scanned for single nucleotide polymorphisms (SNPs) within their coding and promoter regions. These two genes, separated by about 200 kb, are located within the chromosomal interval 1p36.2-1p36.3 that has been linked to femoral neck BMD. In a patient population (n = 104) of European descent, there were four SNPs within TNFRSF1B and six SNPs within PLOD1 that occurred with greater than 5% frequency. There was significant linkage disequilibrium within both genes. Single marker analysis revealed significant association for one SNP located in intron 6 of PLOD1 and lumbar spine BMD (P = 0.01). Allelic haplotypes that encompassed the four SNPs in TNFRSF1B or the six SNPs in PLOD1 were assigned using a Bayesian algorithm as implemented in the program Haplotyper. Association of TNFRSF1B haplotypes with femoral neck BMD was statistically significant (P = 0.01). Similarly, PLOD1 haplotypes demonstrated a statistically significant association with spinal BMD (P = 0.04). These findings strengthen the potential importance of chromosome 1p36.2-1p36.3 in contributing to BMD variation, and are consistent with genetic variation in either PLOD1, TNFRSF1B or nearby genes playing a role in the phenotype.

Antigens, CD↗

PubMed2005

Genetic association analysis of the IGFBP7, ADAMTS3, and IL8 genes as the potential osteoarthritis susceptibility that maps to chromosome 4q.

OBJECTIVES: To determine by genetic association analysis whether the 4q functional candidate genes IGFBP7, ADAMTS3, and IL8 might encode for susceptibility to osteoarthritis (OA). METHODS: Expression of IGFBP7, ADAMTS3, and IL8 in adult OA articular cartilage chondrocytes was demonstrated by reverse transcription-polymerase chain reaction. The genes were screened for common polymorphic DNA variants by direct sequencing of exons, intron-exon boundaries, and the 5' and 3' untranslated regions. The variants were genotyped in the female probands from the 146 families which each contained two or more sisters who had undergone total hip replacement (THR) and in 375 female controls matched for age. Variants showing evidence for association were subsequently genotyped in 244 female-THR patients with OA. Allele frequencies between the probands (or patients) and the controls were compared by chi(2) analysis. RESULTS: Fourteen common variants were identified in the three genes. An ADAMTS3 single nucleotide polymorphism was associated in the probands (p = 0.015) and an ADAMTS3 insertion/deletion approached significance (p = 0.059). However, neither variant was associated in the additional 244 patients with hip OA, with p values of 0.12 and 0.19, respectively. CONCLUSIONS: The analysis implies that the chromosome 4q female hip OA susceptibility is not coded for by polymorphism within the functional candidates IGFBP7, ADAMTS3, or IL8.

ADAM Proteins↗

PubMed2002

Association analysis for quantitative traits by data mining: QHPM.

Previously, we have presented a data mining-based algorithmic approach to genetic association analysis, Haplotype Pattern Mining. We have now extended the approach with the possibility of analysing quantitative traits and utilising covariates. This is accomplished by using a linear model for measuring association. We present results with the extended version, QHPM, with simulated quantitative trait data. One data set was simulated with the population simulator package Populus, and another was obtained from GAW12. In the former, there were 2-3 underlying susceptibility genes for a trait, each with several ancestral disease mutations, and 1 or 2 environmental components. We show that QHPM is capable of finding the susceptibility loci, even when there is strong allelic heterogeneity and environmental effects in the disease models. The power of finding quantitative trait loci is dependent on the ascertainment scheme of the data: collecting the study subjects from both ends of the quantitative trait distribution is more effective than using unselected individuals or individuals ascertained based on disease status, but QHPM has good power to localize the genes even with unselected individuals. Comparison with quantitative trait TDT (QTDT) showed that QHPM has better localization accuracy when the gene effect is weak.

Chromosome Mapping↗

PubMed2004

Haplotype association analysis of discrete and continuous traits using mixture of regression models.

We present a regression-based method of haplotype association analysis for quantitative and dichotomous traits in samples consisting of unrelated individuals. The method takes account of uncertain phase by initially estimating haplotype frequencies and obtaining the posterior probabilities of all possible haplotype combinations in each individual, then using these as weights in a finite mixture of regression models. Using this method, different combinations of marker loci can be modeled, to find a parsimonious set of marker loci that are most predictive and therefore most likely to be closely associated with the a quantitative trait locus. The method has the additional advantage of being able to use individuals with some missing genotype data, by considering all possible genotypes at the missing markers. We have implemented this method using the SNPHAP and Mx programs and illustrated its use on published data on idiopathic generalized epilepsy.

Chromosome Mapping↗

PubMed2002

Association analysis of single nucleotide polymorphisms in cartilage-specific collagen genes with knee and hip osteoarthritis in the Japanese population.

Osteoarthritis (OA) is one of the most common diseases in the elderly. Although its pathophysiology is complex and its molecular basis remains to be determined, much evidence suggests that OA has strong genetic determinants. To search for susceptibility loci of OA, we selected seven candidate genes encoding cartilage-specific collagens (type II, IX, X, and XI collagens) and performed association analysis for OA using single nucleotide polymorphisms (SNPs) in the coding region of these genes. Four hundred seventeen OA samples and 280 control samples were collected from the Japanese population, and 12 SNPs were genotyped. Our studies have identified two susceptibility loci of OA: COL2A1 and COL9A3. An SNP in COL9A3 showed significant association with knee OA (p = 0.002, odds ratio [OR] = 1.48). Haplotype analysis showed significant association between a specific haplotype of COL2A1 and hip OA (p = 0.024; OR = 1.30). Further analysis of these two genes will shed light on the molecular mechanisms of OA.

Aged↗

PubMed2002

Association analysis of polymorphisms in the interleukin-4 receptor (alpha) gene with atopic asthma in patients from western Mexico.

We undertook an association analysis between the ile50val, glu375ala, cys406arg, and ser761pro polymorphisms of the IL-4Ralpha gene and atopic asthma, total IgE levels and IL-4 serum levels in a population from western Mexico. We found that the ser761pro polymorphism was monomorphic for ser761, while there was no association between any of the other polymorphisms and the three phenotypes analysed.

Amino Acid Substitution↗

PubMed2001

Exon/intron boundaries, novel polymorphisms, and association analysis with schizophrenia of the human synaptic vesicle monoamine transporter (SVMT) gene.

The synaptic vesicular monoamine transporter (SVMT), alternatively vesicular monoamine transporter 2 (VMAT2), pumps cytosolic monoamines including dopamine, norepinephrine, serotonin, and histamine into synaptic vesicles. Altered functions of SVMT have been implicated in the pathogensis of several neuropsychiatric diseases. We determined exon/intron boundaries of the human SVMT gene and performed mutational analysis for the exonic and neighboring intronic regions of the gene. Detected polymorphisms were subject to association analysis with schizophrenia in a family-based design. The human SVMT gene consists, of 16 exons and 15 introns, which is consistent with the murine SVMT gene. When mutational analysis was performed by the single strand conformational polymorphism (SSCP) analysis, we found two and four single nucleotide polymorphisms (SNPs) in exons and neighboring introns, respectively. Neither exonic SNP results in an amino acid change. In family-based association analyses in a sample of 50 Japanese schizophrenics and their parents, no significant association was found for the intronic polymorphisms. Our data suggest that there is no common polymorphism in the SVMT gene affecting the primary structure of the human SVMT protein. Furthermore, we obtained no evidence for the major effect of the novel polymorphisms on susceptibility to schizophrenia.

3' Untranslated Regions↗

PubMed1999

Association analysis between the MIC-A and HLA-B alleles in Japanese patients with Behçet's disease.

OBJECTIVE: Behçet's disease is known to be strongly associated with HLA-B51 in many different ethnic groups. Recently, by association analysis using refined microsatellite mapping, the critical region for Behçet's disease was identified as a 46-kb segment centromeric to the HLA-B gene. No expressed gene has been detected in this segment to date except the MIC-A (major histocompatibility complex class I chain-related gene A) and HLA-B genes. The present study was undertaken to analyze allelic distribution of the MIC-A gene among Japanese patients with Behçet's disease. METHODS: Ninety-five Japanese patients with Behçet's disease and 116 ethnically matched healthy controls were enrolled in this study. MIC-A genotyping was performed by direct sequencing of polymerase chain reaction products from exons 2, 3, and 4 of the MIC-A gene, using an automated DNA sequencer. RESULTS: The MIC-A009 allele was significantly more frequent in the patient group (69.5%) compared with the healthy controls (31.0%) (relative risk 5.06, corrected P = 0.00000024). In stratification analysis on the confounding effect of MIC-A009 on HLA-B*51 association and vice versa, Behçet's disease was distinctively associated only with HLA-B*51. Further, MIC-A009 was found to be strongly associated not only with HLA-B51, but also with HLA-B52, which was not increased in the patient group to any degree. CONCLUSION: These results imply that the real disease susceptibility gene involved in the development of Behçet's disease is the HLA-B*51 allele itself and that the significant increase of the MIC-A009 allele in the patient group results secondarily from a strong linkage disequilibrium with HLA-B*51.

Adult↗

PubMed1994

What association analysis can and cannot tell us about the genetics of complex disease.

Human genetics researchers have been intrigued for many years by weak-to-moderate associations between markers and diseases. However, in most cases of association, the cause of this phenomenon is still unknown. Recently, interest has grown in pursuing association studies for complex psychiatric diseases, either instead of or in addition to linkage studies. However, it is one thing to detect association; the next important step is to determine why. Here we consider what a disease-marker association in the weak-to-moderate range (relative risk < 5) can tell us about disease etiology. Two distinct models (not the only possibilities) which could explain such an association are formulated. One is a linkage disequilibrium or major disease gene model, involving tight linkage with a "necessary" major gene. The other is a pure association model, involving a "susceptibility" gene that has only a minor effect on disease state. It will be shown that association analysis cannot distinguish between these two models, and hence cannot elucidate the biological mechanism behind the association. (This statement holds for traditional population-based association tests, as well as for more recent family-based association tests.) The importance of drawing the distinction between these two genetic models and the implications for understanding the genetics of complex human disease will also be discussed.

Alcoholism↗

PubMed2006

Association analysis of 6,736 U.K. subjects provides replication and confirms TCF7L2 as a type 2 diabetes susceptibility gene with a substantial effect on individual risk.

Recent data suggest that common variation in the transcription factor 7-like 2 (TCF7L2) gene is associated with type 2 diabetes. Evaluation of such associations in independent samples provides necessary replication and a robust assessment of effect size. Using four TCF7L2 single nucleotide polymorphisms (SNPs; including the two most associated in the previous study), we conducted a case-control study in 2,158 type 2 diabetic subjects and 2,574 control subjects and a family-based association analysis in 388 parent-offspring trios all from the U.K. All SNPs showed powerful associations with diabetes in the case-control analysis, with strongest effects at rs7903146 (allele-wise relative risk 1.36 [95% CI 1.24-1.48], P = 1.3 x 10(-11)). Data were consistent with a multiplicative model. The family-based analyses provided independent evidence for association at all loci (e.g., rs4506565, 62% transmission, P = 7 x 10(-5)) with no parent-of-origin effects. The frequency of diabetes-associated TCF7L2 genotypes was greater in cases ascertained for positive family history and early onset (rs4606565, P = 0.02); the population-attributable risk, estimated from the least-selected cases, is approximately 16%. The overall evidence for association for these variants (P = 4.4 x 10(-14) combining case-control and family-based analyses for rs4506565) exceeds genome-wide significance criteria and clearly establishes TCF7L2 as a type 2 diabetes susceptibility gene of substantial importance.

Adult↗