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PubMed1999

Parent-offspring trios: a resource to facilitate the identification of type 2 diabetes genes.

The transmission disequilibrium test with use of trios (an affected proband with both parents) is a robust method for assessing the role of gene variants in disease that avoids the problem of population stratification that may confound conventional case/control studies and allows the detection of parent-of-origin effects. Trios have played a major role in defining genes in a number of polygenic conditions, including type 1 diabetes. We assessed the prevalence, clinical characteristics, and suitability for defining type 2 susceptibility genes of European type 2 diabetes trios. In a Caucasian population in the U.K., only 2.5% of type 2 patients had both parents alive. Using a nationwide strategy, we collected 182 trios defined by strict clinical criteria. Immunological and genetic testing resulted in the exclusion of 25 trios as a result of latent autoimmune diabetes (n = 13), inconsistent family relationships (n = 7), and maternally inherited diabetes and deafness (n = 5). The 157 remaining probands had similar treatment requirements to familial type 2 diabetic subjects but presented at a younger age, were more obese, and more frequently had affected parents. Using this resource, we have not found any evidence for linkage disequilibrium between type 2 diabetes and the glucokinase gene markers GCK1 and GCK2 and the chromosome 20 marker D20S197. We conclude that European type 2 diabetes trios are difficult to collect but provide an important additional approach to dissecting the genetics of type 2 diabetes.

Adult↗
PubMed2000

A new method for the evaluation of matches in non-recombining genomes: application to Y-chromosomal short tandem repeat (STR) haplotypes in European males.

A 9-locus microsatellite framework (minimal haplotype), previously developed for forensic purposes so as to facilitate stain analysis, personal identification and kinship testing, has been adopted for the establishment of a large reference database of male European Y-chromosomal haplotypes. The extent of population stratification pertaining to this database, an issue crucial for its practical forensic application, was assessed through analysis of molecular variance (AMOVA) of the 20 regional samples included. Despite the notion of some significant haplotype frequency differences, which were found to correlate with known demographic and historic features of Europeans, AMOVA generally revealed a high level of genetic homogeneity among the populations analyzed. Owing to their high diversity, however, accurate frequency estimation is difficult for Y-STR haplotypes when realistic (i.e. moderately sized) datasets are being used. As expected, strong pair-wise and higher order allelic associations were found to exist between all markers studied, implying that haplotype frequencies cannot be estimated as products of allele frequencies. A new extrapolation method was therefore developed which treats haplotype frequencies as random variables and generates estimates of the underlying distribution functions on the basis of closely related haplotypes. This approach, termed frequency 'surveying', is based upon standard population genetics theory and can in principle be applied to any combination of markers located on the Y-chromosome or in the mitochondrial genome. Application of the method to the quality assured reference Y-STR haplotype database described herein will prove very useful for the evaluation of positive trace-donor matches in forensic casework.

Alleles↗
PubMed2004

A polymorphism in the CDKN1B gene is associated with increased risk of hereditary prostate cancer.

The loss of cell cycle control is believed to be an important mechanism in the promotion of carcinogenesis. CDKN1B (p27) belongs to the Cip/Kip family and functions as an important cell cycle gatekeeper. Several lines of evidence from clinical studies and laboratory experiments demonstrate that CDKN1B is an important tumor suppressor gene in prostate cancer etiology. In addition, a case-control study has shown that the 326T/G (V109G) polymorphism in CDKN1B is associated with advanced prostate cancer. In light of the evidence for linkage between the chromosomal location of the CDKN1B gene (12p13) and prostate cancer susceptibility in several hereditary prostate cancer (HPC) populations, we hypothesized that sequence variants of CDKN1B play a role in HPC. To test this hypothesis, we first resequenced this gene in 96 HPC probands to identify germ-line mutations and sequence variants. We then genotyped the identified sequence variants among all family members of 188 HPC families and tested for their cosegregation with prostate cancer. In total, 10 sequence variants were identified, including three nonsynonymous changes. A family-based test, which is free from the effects of population stratification, revealed a significant association between single nucleotide polymorphism (SNP) -79C/T and prostate cancer (with a nominal P of 0.0005). The C allele of -79C/T was overtransmitted from parents to their affected offspring. Evidence for this association was primarily contributed by affected offspring whose age at diagnosis was <65 years. Together with the previous association study in a sporadic prostate cancer population, our new findings additionally suggest that germ-line variants of this gene play a role in prostate cancer susceptibility.

Aged↗
PubMed2003

Associations between total serum IgE levels and the 6 potentially functional variants within the genes IL4, IL13, and IL4RA in German children: the German Multicenter Atopy Study.

BACKGROUND: Increased total serum IgE levels are a common characteristic of atopic disorders. Six potentially functional variants, including C-590T in the IL4 gene, C-1055T and Arg130Gln in the IL13 gene, and Ile50Val, Ser478Pro, and Gln551Arg in the IL4RA gene, have been evaluated for their involvement in the control of total serum IgE levels and related atopic disorders, but the results of these studies have been inconsistent. OBJECTIVE: We examined whether these 6 variants had genotypic effects on total serum IgE levels in 823 unrelated German children from a large infant cohort, the German Multicenter Atopy Study. METHODS: Marginal effect models were used for the analyses of the repeated IgE measurements. Weighted linear regression and family-based tests of association were performed to minimize the possibility of spurious effects caused by selection bias or confounding on the basis of ethnic background. RESULTS: There are significant associations between increased total serum IgE levels and 2 variants in the IL13 gene (P <.005 and.0002 for Arg130Gln and C-1055T, respectively). These genetic effects are unlikely to be due to solely linkage disequilibrium between 2 polymorphisms, population stratification, or nonrepresentative samples. In addition, exposure to maternal smoking appears to modify the above effects on total serum IgE levels. However, no statistical association was observed between this quantitative phenotype and the other 4 variants examined. CONCLUSION: These findings suggest that variants C-1055T and Arg130Gln of the IL13 gene might play an important role on total serum IgE production in this study population.

Alleles↗
PubMed2006

[Integration of genetic factors into epidemiological studies].

During the last two decades, genetic epidemiology has been established in parallel to the area of classical epidemiology. This paper presents some essentials of the epidemiology of genetic factors. It begins with a discussion of complex diseases that are characterized by an involvement of several genes. The problems that are attached to modeling gene-gene and gene-environment interactions and their integration into causal pathways are elucidated and the role of genetic factors in the etiology of complex diseases is investigated. Classical and new epidemiological study designs that allow an integration of genetic data are introduced. The introduction of this data is partly motivated by the danger of bias due to genetic heterogeneity (population stratification) in classical designs. The problem of replication of study results is discussed and the concept of Mendelian randomization is presented.

Case-Control Studies↗
PubMed2005

Linear parameter haplotype models with stratification.

OBJECTIVES: The question of interest is estimating the relationship between haplotypes and an outcome measure, based upon unphased genotypes. The outcome of interest might be predicting the presence of disease in a logistic model, predicting a numeric drug response in a linear model, or predicting survival time in a parametric survival model with censoring. Explanatory variables may include phased haplotype design variables, environmental variables, or interactions between them. METHODS: We extend existing generalized linear haplotype models to parametric survival outcomes. To improve the stability of model variance estimates, a profile likelihood solution is proposed. An adjustment for population stratification is also considered. Here we investigate data sampled from known 'strata' (e.g., gender or ethnicity) that influence haplotype prior probabilities and thus the regression model weights. Differing linear model variance estimates, and the effect of stratification and departures from Hardy-Weinberg Equilibrium (HWE) on parameter estimates, are compared and contrasted via simulation. RESULTS: From simulations, we observed an improvement in statistical power when using a solution to profile likelihood equations. We also saw that stratification had little impact on estimates. Haplotypes that are not in HWE had a negative impact on power to test hypotheses. Finally, profile likelihood solutions for haplotypes deviating from HWE had improved power and confidence interval coverage of regression model coefficients.

Carcinoma, Squamous Cell↗
PubMed2005

Geographical heterogeneity of Y-chromosomal lineages in Norway.

Y-chromosomal variation at five biallelic markers (Tat, YAP, 12f2, SRY(10831) and 92R7) and nine multiallelic short tandem repeat (STR) loci (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385I/II and DYS388) in a Norwegian population sample are presented. The material consists of 1766 unrelated males of Norwegian origin. The geographical distribution of the population sample reflects fairly well the population distribution around the year 1942, which is the median birth year of the index persons. Seven hundred and twenty-one different Y-STR haplotypes but 726 different lineages (Y-STRs plus biallelic markers) were encountered. We observed six known (P*(xR1a), BR(xDE, J, N3, P), R1a, N3, DE, J), and one previously undescribed haplogroup (probably a subgroup within haplogroup P*(xR1a)). Four of the haplogroups (P*(xR1a), BR(xDE, J, N3, P), R1a and N3) represented about 98% of the population sample. The analysis of population pairwise differences indicates that the Norwegian Y-chromosome distribution most closely resembles those observed in Iceland, Germany, the Netherlands and Denmark. Within Norway, geographical substructuring was observed between regions and counties. The substructuring reflects to some extent the European Y-chromosome gradients, with higher frequency of P*(xR1a) in the south-west and of R1a in the east. Heterogeneity in major founder groups, geographical isolation, severe epidemics, historical trading links and population movements may have led to population stratification and have most probably contributed to the observed regional differences in distribution of haplotypes within two of the major haplogroups.

Analysis of Variance↗
PubMed2004

Trends in pharmacogenomics of drugs used in the treatment of asthma.

Pharmacogenetic studies of drugs used in the treatment of asthma have produced a few examples of reduced response in patients carrying specific genotypes in genes involved in the action of beta-2 agonists or leukotriene modifiers. Other candidate genes related to these drugs, as well as glucocorticoids, theophilline, anticholinergics, antihistaminics, and drug-metabolizing enzymes, may be proposed. Statistical power and population stratification may be issues of importance in case-control association studies. Future developments include expanded gene knowledge from asthma genetic and genomic studies, the development of new preventive and curative treatments, multiple contemporary genotyping methods for pharmacogenetically important genes in a given individual, and the construction of asthma functional pharmacogenomic profiles. In conclusion, it seems that asthma pharmacogenetic studies need to be replicated in prospective clinical trials in different populations with a large number of subjects being genotyped. It is suggested that large clinical trials which are proposed for asthma drugs experimentation should include a pharmacogenetic study as well.

Animals↗
PubMed2002

Association mapping, using a mixture model for complex traits.

Association mapping for complex diseases using unrelated individuals can be more powerful than family-based analysis in many settings. In addition, this approach has major practical advantages, including greater efficiency in sample recruitment. Association mapping may lead to false-positive findings, however, if population stratification is not properly considered. In this paper, we propose a method that makes it possible to infer the number of subpopulations by a mixture model, using a set of independent genetic markers and then testing the association between a genetic marker and a trait. The proposed method can be effectively applied in the analysis of both qualitative and quantitative traits. Extensive simulations demonstrate that the method is valid in the presence of a population structure.

Alleles↗
PubMed2004

Genomic profiling of interpopulation diversity guides prioritization of candidate-genes for autoimmunity.

Autoimmune diseases seem to have strong genetic attributes, and are affected to some extent by shared susceptibility loci. The latter potentially amount to hundreds of candidate genes (CG), creating the need for a prioritization strategy in genetic association studies. To form such a strategy, 26 autoimmune-related CG were genotyped for a total of 72 single nucleotide polymorphisms (SNPs) in three distinct Israeli ethnic populations: Ashkenazi Jews, Sephardic Jews and Arabs. Four quantitative criteria reflecting population stratification were analyzed: allele frequencies, haplotype frequencies, the Fst statistic for homozygotes distribution and linkage disequilibrium extents. According to the consequent interpopulation genomic diversity profiles, the genes were classified into conserved, intermediate and diversified gene groups. Our results demonstrate a correlation between the biological role of autoimmune-related CG and their interpopulation diversity profiles as classified by the different analyses. Annotation analysis suggests that genes more readily influenced by environmental conditions, such as immunological mediators, are 'population specific'. Conversely, genes showing genetic conservation across all populations are characterized by apoptotic and cleaving functions. We suggest a research strategy by which CG association studies should focus first on likely conserved gene categories, to increase the likelihood of attaining significant results and promote the development of gene-based therapies.

Adult↗
PubMed1998

DRD2 allele frequencies and linkage disequilibria, including the -141CIns/Del promoter polymorphism, in European-American, African-American, and Japanese subjects.

Although many studies have addressed the possible association of D2 dopamine receptor (DRD2) alleles-particularly in the TaqI "A" system (with the DRD2*A1 allele)-with positive results for a range of behavioral phenotypes in populations of European origin, the interpretation of those results remains controversial; they could reflect physiological relationships between gene and phenotype, population stratification, or random variation. Since mutational analysis studies of the DRD2 gene have thus far failed to reveal a mutation that could provide a physiological basis for these results, functional meaning for them depends on linkage disequilibrium with a functional variant. A recently described functional variant in the DRD2 promoter (-141CIns/Del), which is about 250 kb 5' to the variants studied in psychiatric illness, could conceivably provide an explanation for the positive findings, if it were in linkage disequilibrium with DRD2*A1 in populations similar to those for which an association has been reported. We studied linkage disequilibrium (LD) and frequencies of haplotypes containing the DRD2*A, DRD2*D, and -141CIns/Del systems in European-Americans, African-Americans, and Japanese subjects. Although we found evidence for LD across the 250-kb first intron in both American populations, we did not find significant LD between the DRD2*A system and the -141CIns/Del system in the European-Americans. This newly described functional variant therefore does not provide a straightforward physiological explanation for previously reported genetic associations with DRD2*A1 in European-American subjects.

Alleles↗
PubMed2006

A comparison of major histocompatibility complex SNPs in Han Chinese residing in Taiwan and Caucasians.

Genetic dissection of complex diseases is both important and challenging. The human major histocompatibility complex is involved in many human diseases and genetic mechanisms. This highly polymorphic chromosome region has been extensively studied in Caucasians but not as well in Asians. Thus, we compared genotypic distributions, linkage disequilibria and haplotype blocks between Caucasian and Taiwan's Han Chinese populations. Moreover, we investigated the population admixture and phylogenetic system in Han Chinese residing in Taiwan. The results show that Taiwan's Han Chinese differ drastically in genotypic information compared with Caucasians but are relatively homogeneous among the three major ethnic subgroups, Minnan, Hakka and Mainlanders. Differences in allele frequency (AF) between Taiwanese and Caucasians in some disease-associated loci may reveal clues to differences in disease prevalence. The results of ethnic heterogeneity imply that public databases should be used with caution in cases where the study population(s) differs from the population characterized in the database. The high homogeneity we observed among the Taiwanese subpopulations mitigates the possibility of spurious association caused by ignoring population stratification in Taiwanese disease gene association studies. These results are useful for understanding our genetic background and designing future disease gene mapping studies.

Asian People↗
PubMed2007

Two-sample comparison based on prediction error, with applications to candidate gene association studies.

To take advantage of the increasingly available high-density SNP maps across the genome, various tests that compare multilocus genotypes or estimated haplotypes between cases and controls have been developed for candidate gene association studies. Here we view this two-sample testing problem from the perspective of supervised machine learning and propose a new association test. The approach adopts the flexible and easy-to-understand classification tree model as the learning machine, and uses the estimated prediction error of the resulting prediction rule as the test statistic. This procedure not only provides an association test but also generates a prediction rule that can be useful in understanding the mechanisms underlying complex disease. Under the set-up of a haplotype-based transmission/disequilibrium test (TDT) type of analysis, we find through simulation studies that the proposed procedure has the correct type I error rates and is robust to population stratification. The power of the proposed procedure is sensitive to the chosen prediction error estimator. Among commonly used prediction error estimators, the .632+ estimator results in a test that has the best overall performance. We also find that the test using the .632+ estimator is more powerful than the standard single-point TDT analysis, the Pearson's goodness-of-fit test based on estimated haplotype frequencies, and two haplotype-based global tests implemented in the genetic analysis package FBAT. To illustrate the application of the proposed method in population-based association studies, we use the procedure to study the association between non-Hodgkin lymphoma and the IL10 gene.

Adult↗
PubMed2003

High-resolution joint linkage disequilibrium and linkage mapping of quantitative trait loci based on sibship data.

This paper proposes variance component models for high resolution joint linkage disequilibrium (LD) and linkage mapping of quantitative trait loci (QTL) based on sibship data; this can include population data if independent individuals are treated as single sibships. One application of these models is late onset complex disease gene mapping, when parental data are not available. The models simultaneously incorporate both LD and linkage information. The LD information is contained in mean coefficients of sibship data. The linkage information is contained in the variance-covariance matrices of trait values for sibships with at least two siblings. We derive formulas for calculating the probability of sharing two trait alleles identical by descent (IBD) for sibpairs in interval mapping of QTL; this is the coefficient of dominant variance of the trait covariance of sibpairs on major QTL. To investigate the performance of the formulas, we calculate the numerical values via the formulas and get satisfactory approximations. We compare the power and sample sizes for both LD and linkage mapping. By simulation and theoretical analysis, we compare the results with those of Fulker and Abecasis "AbAw" approach. It is well known that the resolution of linkage analysis can be low for complex disease gene mapping. LD mapping, on the other hand, can increase mapping precision and is useful in high resolution mapping. Linkage analysis is less sensitive to population subdivisions and admixtures. The level of LD is sensitive to population stratification which may easily lead to spurious association. Performing a joint analysis of LD and linkage mapping can help to overcome the limits of both approaches. Moreover, the advantages of the two complementary strategies can be utilized maximally. In practice, linkage analysis may be performed using pedigree data to identify suggestive linkage between markers and trait loci based on a sparse marker map. In the presence of linkage, joint LD and linkage mapping can be carried out to do fine gene mapping based on a dense genetic map using both pedigree and population data. Population and pedigree data of any type can be combined to perform a joint analysis of high resolution LD and linkage mapping of QTL by generalizing the method.

Alleles↗
PubMed2002

DNA sequence variants in epithelium-specific ETS-2 and ETS-3 are not associated with asthma.

Epithelium-specific ETS-2 and ETS-3 are transcription factors that have been proposed as asthma candidate genes. To investigate the association of sequence variants in these genes with asthma, we conducted a case-control association analysis in a sample of 311 white subjects with asthma and 177 white subjects without asthma. Common polymorphisms in these genes were detected by sequencing DNA from 32 cell lines obtained from Coriel (Camden, NJ). Seven noncoding or synonymous single-nucleotide polymorphisms were detected: three in epithelium-specific ETS-2 and four in epithelium-specific ETS-3. Subjects were genotyped at all loci by mass spectroscopy. To ensure the suitability of our control subjects, we also genotyped subjects at 49 unlinked polymorphisms evenly distributed throughout the autosomes and found no evidence of population stratification. Logistic regression adjusted for age and sex suggested a weak association of one epithelium-specific ETS-2 polymorphism with asthma diagnosis (odds ratio = 1.89, 95% confidence interval = 1.13-3.18, p = 0.02). Total serum immunoglobulin E and FEV1 predicted levels were not associated with any of the polymorphisms. Extended haplotyping indicated linkage disequilibrium in these genes; however, no association or epistatic interaction was found. This study suggests that epithelium-specific ETS-2 and ETS-3 genes are unlikely to contain polymorphic loci that have a major impact on asthma susceptibility in our population.

Adolescent↗
PubMed2006

ADAM33 haplotypes are associated with asthma in a large Australian population.

The ADAM33 gene has recently been identified as being a potentially important asthma candidate gene, and polymorphisms in this gene have been shown to be associated with asthma and bronchial hyperresponsiveness in Caucasian individuals from several populations. We performed chip-based matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry using the MassARRAY system and multiplexed genotyping assays to investigate the association between 10 single nucleotide polymorphisms (SNPs) in the ADAM33 gene (F_+1, Q_-1, S_1, ST_+4, ST_+7, V_-2, V_-1, V_2, V_4, V_5) and asthma and asthma severity in a large Australian Caucasian population of nonasthmatic controls (n = 473), and patients with mild (n = 292), moderate (n = 238) and severe (n = 82) asthma. No significant association was found between any one of the 10 SNPs and asthma or asthma severity, however, there was a significant global haplotypic association with asthma (P = 0.0002) and disease severity (P = 0.0001), driven by the combination of two key SNPs, V_-1 and ST_+7. A meta-analysis of all the genetic studies conducted to date found significant between-study heterogeneity, likely to reflect population stratification. Our analysis of ADAM33 haplotypes further suggests a likely role for ADAM33 in the asthma phenotype, although it does not exclude an association with another locus in linkage disequilibrium with ADAM33.

ADAM Proteins↗
PubMed1999

Family-based association studies.

We review case-control designs for studying gene associations in which relatives of case patients are used as control subjects. These designs have the advantage that they avoid the problem of population stratification that can lead to spurious associations with noncausal genes. We focus on designs that use sibling, cousin, or pseudosibling controls, the latter formed as the set of genotypes not transmitted to the case from his or her parents. We describe a common conditional likelihood framework for use in analyzing data from any of these designs and review what is known about the validity of the various design and analysis combinations for estimating the genetic relative risk. We also present comparisons of efficiency for each of the family-based designs relative to the standard population-control design in which unrelated controls are selected from the source population of cases. Because of overmatching on genotype, the use of sibling controls leads to estimates of genetic relative risk that are approximately half as efficient as those obtained with the use of population controls, while relative efficiency for cousin controls is approximately 90%. However, we find that, for a rare gene, the sibling-control design can lead to improved efficiency for estimating a G x E interaction effect. We also review some restricted designs that can substantially improve efficiency, e.g., restriction of the sample to case-sibling pairs with an affected parent. We conclude that family-based case-control studies are an attractive alternative to population-based case-control designs using unrelated control subjects.

Case-Control Studies↗
PubMed1999

The DRD2 TaqI polymorphism and symptoms of attention deficit hyperactivity disorder.

The relationship of the DRD2 TaqI-A1 allele to hyperactive/impulsive and inattentive symptoms of attention deficit hyperactivity disorder (ADHD) in children and adolescents was examined in a sample of clinic-referred children and their siblings, and control children and their siblings (n = 236). The contribution of genetic dominance and additivity to mean differences among the A2A2, A1A2, and A1A1 genotypes was estimated using structural equation modeling. The effect of genetic additivity was statistically significant for both traits in an analysis of all children. The heritability from the DRD2 locus was estimated at 4.27% for hyperactive-impulsive symptoms and 2.12% for inattentive symptoms. Children with the A2A2 genotype had the highest mean level of symptoms. To control for any possible effects of population stratification, this analysis was repeated with parental genotypes as controls. In this smaller sample, although the direction of the effect was the same as that in the whole sample, the genotypic differences failed to reach conventional significance levels and the effect sizes were smaller (h2 = 1.62% and 0.79%, respectively). Furthermore, a genotype relative risk test of children who had questionnaire-based diagnoses of ADHD also failed to yield evidence of either association or linkage. Given that the A1 allele was expected to be the high risk allele, and that results were non-significant in tests that controlled for population heterogeneity, we doubt that this DRD2 polymorphism influences symptoms of ADHD in childhood.

Adolescent↗