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At least 19 recordsLinked to original sources

PubMed2002

Testing candidate genes for non-syndromic oral clefts using a case-parent trio design.

Markers in five candidate genes were examined on 269 case-parent trios ascertained through a child with an isolated, non-syndromic oral cleft (cleft lip, CL; cleft palate, CP; or cleft lip and palate, CLP). Cases and their parents were ascertained through treatment centers in Maryland. Markers at two of the five candidate genes, transforming growth factor beta3 (TGFbeta3) and MSX1, showed consistent evidence of linkage and disequilibrium due to linkage using several statistical tests (e.g., the global chi-square for TGFbeta3 was 21.1 with 12 df, P = 0.03; that for MSX1 was 8.7 with 3 df, P = 0.03). There was little evidence of heterogeneity in the role of TGFbeta3 between different types of oral clefts, but MSX1 did yield marginal evidence for such heterogeneity. MSX1 also showed evidence for interaction between infant's genotype and maternal smoking, giving a likelihood ratio test for heterogeneity between smoker and non-smoker mothers of 7.16 (2 df, P = 0.03). Using a conditional logistic model to test for gene-gene interaction showed no evidence of interaction between TGFbeta3 and MSX1, with both seeming to contribute independently to risk of isolated, non-syndromic oral clefts.

Adult↗

PubMed2001

Multipoint linkage-disequilibrium-mapping approach based on the case-parent trio design.

In the present study we propose a multipoint approach, for the mapping of genes, that is based on the case-parent trio design. We first derive an expression for the expected preferential-allele-transmission statistics for transmission, from either parent to an affected child, for an arbitrary location within a chromosomal region demarcated by several genetic markers. No assumption about genetic mechanism is needed in this derivation, beyond the assumption that no more than one disease gene lies in the region framed by the markers. When one builds on this representation, the way in which one may maximize the genetic information from multiple markers becomes obvious. This proposed method differs from the popular transmission/disequilibrium test (TDT) approach for fine mapping, in the following ways: First, in contrast with the TDT approach, all markers contribute information, regardless of whether the parents are heterozygous at any one marker, and incomplete trio data can be utilized in our approach. Second, rather than performing the TDT at each marker separately, we propose a single test statistic that follows a chi(2) distribution with 1 df, under the null hypothesis of no linkage or linkage disequilibrium to the region. Third, in the presence of linkage evidence, we offer a means to estimate the location of the disease locus along with its sampling uncertainty. We illustrate the proposed method with data from a family study of asthma, conducted in Barbados.

Alleles↗

PubMed2002

[Use of case-parents trio for epidemiological studies of association between genetic polymorphisms and complex diseases].

In case-control studies, spurious associations between allelic variants in candidate genes and disease may arise as a result of population stratification by ethnicity. In epidemiological terms, the ethnic group would act as a confounding factor if both the genotype frequency and the incidence/prevalence of a given chronic disease vary across ethnic groups. Population stratification is a key element in the study of population dynamics and the knowledge of the disparity in health-related conditions among strata has important social and public health implications. However, it would not be scientifically correct to conclude a causal gene-disease association in situations in which the association arises as a consequence of a particular population structure. Although the relevance and magnitude of the bias derived from this confounding, effect would be different depending on the population considered, there has been an increased use of study designs such as the case-parent study, that avoids the effect of population stratification by ethnicity. In this article, we review the analysis of case-parent trios using unrelated affected cases as an epidemiological study design for testing association between genetic polymorphisms and disease.

Alleles↗

PubMed2002

Transmission disequilibrium test with discordant sib pairs when parents are available.

The transmission disequilibrium test (TDT) has been employed to map disease susceptibility loci (DSL), while being immune to the problem of population admixture. The customary TDT test (TDT(D)) was developed for affected child(ren) and their parents and was most often applied to case-parent trios. Recently, the TDT has been extended to the situations when (1) parents are not available but affected and nonaffected sibs from each family are available, (2) unrelated control-parent trios are available for combined analyses with case-parent trios (TDT(DC)), and (3) large pedigrees. For many diseases, affected children in the case-parent trios enlisted into the TDT(D) have unaffected sibs who can be recruited. We present an extension of the TDT by effectively incorporating one unaffected sib of each of the affected children in the case-parent trios into a single analysis (TDT(DS), where DS denotes discordant sib pairs). We have developed a general analytical method for computing the statistical power of the TDT(DS) under any genetic model, the accuracy of which is validated by computer simulations. We compare the power of the TDT(D), TDT(DC), and TDT(DS) under a range of parameter space and genetic models. We find that the TDT(DS) is generally more powerful than the TDT(DC) and TDT(D), particularly when the disease is prevalent (>30%) in the population. The relative power of the TDT(D) and the TDT(DS) largely depends upon the allele frequencies and genetic effects at the DSL, whereas the recombination rate, the degree of linkage disequilibrium, and the marker allele frequencies have little effect. Importantly, the TDT(DS) not only may be more powerful, it also has the advantage of being able to test for segregation distortion that may yield false linkage/association in the TDT(D).

Alleles↗

PubMed2001

The power of the transmission disequilibrium test (TDT) with both case-parent and control-parent trios.

The transmission disequilibrium test (TDT) customarily uses affected children and their parents (often case-parent trios, TDTD). Control-parent trios are necessary to guard against spurious significant results due to segregation distortion but are not generally utilized in the identification of disease susceptibility loci (DSL). Controls are often easy to recruit and the TDT can easily be extended to include control-parent trios into the analyses with unrelated case-parent trios. We present an extension of the TDT (TDTDC) that incorporates unrelated cases and controls and their parents into a single analysis. We develop a simple and accurate analytical method for computing the statistical power of various TDT (e.g. the TDTD, TDTDC, TDTDC and TDTC that employ control-parent trios only) under any genetic model. We investigated the power of these TDT, and particularly compared the relative power of the TDTD and TDTDC. We found that the TDTDC is almost always more powerful than the TDTC and TDTD. The relative power of the TDTDC and TDTD depends largely upon a number of parameters identified in the study. This study provides a basis for efficient use of control-parent trios in DSL identification.

Case-Control Studies↗

PubMed2002

Sample size requirements for association studies of gene-gene interaction.

In the study of complex diseases, it may be important to test hypotheses related to gene-gene (G x G) interaction. The success of such studies depends critically on obtaining adequate sample sizes. In this paper, the author investigates sample size requirements for studies of G x G interaction, focusing on four study designs: the matched-case-control design, the case-sibling design, the case-parent design, and the case-only design. All four designs provide an estimate of interaction on a multiplicative scale, which is used as a unifying theme in the comparison of sample size requirements. Across a variety of genetic models, the case-only and case-parent designs require fewer sampling units (cases and case-parent trios, respectively) than the case-control (pairs) or case-sibling (pairs) design. For example, the author describes an asthma study of two common recessive genes for which 270 matched case-control pairs would be required to detect a G x G interaction of moderate magnitude with 80% power. By comparison, the same study would require 319 case-sibling pairs but only 146 trios in the case-parent design or 116 cases in the case-only design. A software program that computes sample size for studies of G x G interaction and for studies of gene-environment (G x E) interaction is freely available (http://hydra.usc.edu/gxe).

Case-Control Studies↗

PubMed2001

Association between HLA-DQB1 alleles and type 1 diabetes in a case-parents study conducted in Santiago, Chile.

The human leukocyte antigen (HLA) system plays a crucial role in the autoimmune process leading to childhood diabetes. The purpose of this study was to evaluate the association between type 1 diabetes and the polymorphism encoded by the HLA-DQB1 gene by using case-parents trios. The study area was the metropolitan region of Santiago, Chile, and cases were ascertained from March 1997 to August 1998. Genotyping was performed in 94 trios comprising incident cases less than 17 years of age at the time of diagnosis and their parents. The transmission/disequilibrium test was used to detect differential transmission in the HLA-DQB1 locus. The authors found that alleles DQB1(*)0302 and DQB1(*)0201 were strongly associated with the disease. By using 1:3 matched sets of cases-pseudosibs and conditional logistic regression models, allelic relative risks were estimated for DQB1(*)0302 (r = 7.2, 95% confidence interval: 2.8, 18.5) and DQB1(*)0201 (r = 4.7, 95% confidence interval: 1.9, 11.6); DQB1(*)0301 was considered the baseline allele. When case-parents trios were used, alleles DQB1(*)0302 and DQB1(*)0201 were strongly associated with a higher risk of type 1 diabetes in the population of SANTIAGO:

Adolescent↗

PubMed2003

Possible parent-of-origin effect of Dopa decarboxylase in susceptibility to bipolar affective disorder.

Dopa decarboxylase (DDC) catalyses the synthesis of both dopamine and serotonin as well as trace amines suggested to possess neuromodulating capabilities. We have previously reported evidence suggesting an association between DDC and bipolar affective disorder (BPAD) [Børglum et al., 1999]. To further investigate the possible role of DDC in BPAD, we analyzed a 1- and a 4-bp deletion variant-both of putative functional significance-in two new samples: a case-control sample with 140 cases and 204 controls, and 100 case-parents trios. We also tested for association in subjects with familial disease in both the new and the previously investigated samples. The previously reported association was not replicated in either of the new samples. However, a preponderance of the 1-bp deletion was increased by analysis of the familial cases separately for all case-control samples investigated, indicating a possible association with familial disease (combined analysis, P = 0.02). In the trio sample, a preferential paternal transmission of the 4-bp deletion was observed (P = 0.006). DDC is located next to the imprinted gene GRB10, which is expressed specifically from the paternal allele in fetal brains. Increased transmission of paternal DDC alleles has also been suggested in attention deficit hyperactivity disorder. We suggest that DDC might confer susceptibility to BPAD predominantly when paternally transmitted.

Bipolar Disorder↗

PubMed2003

Does accounting for gene-environment (GxE) interaction increase the power to detect the effect of a gene in a multifactorial disease?

Despite tremendous efforts, few genes involved in the susceptibility for complex disorders have been identified. One explanation is that these disorders are a result of an interaction between genes and environment, and under such conditions, it may be difficult to measure the true genetic effect without accounting for the interaction. Umbach and Weinberg ([2000] Am. J. Hum. Genet. 66:251-261) proposed an association test which looks at the joint effects of genotype and environment, using case-parent trios. In this study, we explore under which conditions accounting for GxE interaction enhances one's ability to detect the role of genetic factors in complex diseases. Using asymptotic power calculations, we investigate the power to detect the gene effect over varying exposure frequencies and different scenarios of GxE interaction. We show that for a given sample size, interaction scenario, and allele frequency, the actual gain in power while accounting for the interaction depends on the magnitude of the exposure frequency: the largest gains are seen for relatively low exposure frequencies. Moreover, a loss of power can be observed when the exposure is frequent and/or the exposure effect is strong. If we consider a gene with a disease allele frequency of 0.2, with no effect in the absence of exposure, an exposure with a 10-fold increase risk and a GxE relative risk of 2, then when the exposure frequency is 0.1, accounting for GxE interaction increases the power to detect the gene effect in 200 trios by 10%; alternatively, when the exposure frequency is 0.9, it decreases the power by 15%.

Alleles↗

PubMed2003

Multipoint linkage disequilibrium mapping approach: incorporating evidence of linkage and linkage disequilibrium from unlinked region.

Gene mapping for complex diseases is still a challenge in genetic studies. For family-based studies, the single-locus methods for detecting linkage and linkage disequilibrium (LD) one at a time may not capture the assumed interaction between multiple causal genes efficiently. We propose a multipoint LD approach for assessing the evidence of linkage and LD in a targeted chromosomal region by incorporating evidence from an unlinked region using the case-parent trio design. The paternal and maternal preferential transmission statistics defined in Liang et al. ([2001] Am. J. Hum. Genet. 68:937-950) are the primary statistics for this approach. Our generalized estimating equation (GEE) method builds on a model using the expected preferential transmission statistic from the targeted region conditional on this same statistic from the unlinked region. The major assumption is that there is no more than one trait locus in both the targeted region and unlinked region. The map position of an unobserved trait locus and its confidence interval can be calculated. Finally, we apply this approach to the African-American families drawn from the Collaborative Study on the Genetics of Asthma (CSGA). Previous analysis using this GEE approach developed by Liang et al. ([2001] Am. J. Hum. Genet. 68:937-950) suggested strong evidence of linkage and LD on chromosome 11, but only marginal evidence on chromosome 8. While conditioning on marker D11S937 on chromosome 11, a separate trait locus on chromosome 8 was estimated at tau(2) empty set = 11.67 cM, with a 95% confidence interval of (8.75, 14.59), and the test statistic shows significant evidence of linkage and LD (P-value=0.0198) in this region of chromosome 8.

Black or African American↗

PubMed2003

Pedigree disequilibrium tests for multilocus haplotypes.

Association tests of multilocus haplotypes are of interest both in linkage disequilibrium mapping and in candidate gene studies. For case-parent trios, I discuss the extension of existing multilocus methods to include ambiguous haplotypes in tests of models which distinguish between the cis and trans phase. A likelihood-ratio test is proposed, using the expectation-maximization (E-M) algorithm to account for haplotype ambiguities. Assumptions about the population structure are required, but realistic situations, including population stratification, which violate the assumptions lead to conservative tests. I describe a permutation procedure for the null hypothesis of interest, which controls for violation of the assumptions. For general pedigrees, I describe extensions of the pedigree disequilibrium test to include uncertain haplotypes. The summary statistics are replaced by their expected values over prior distributions of haplotype frequencies. If prior distributions are not available, a valid test is possible by using the E-M algorithm to estimate the null distribution of haplotype frequencies. Similar methods are available for quantitative traits. Exact permutation tests are difficult to construct in small samples, but an approximate procedure is appropriate in large samples, and can be used to account for dependencies between tests of multiple haplotypes and loci.

Algorithms↗

PubMed2003

Evidence for asthma susceptibility genes on chromosome 11 in an African-American population.

Initial genome-wide scan data provided suggestive evidence for linkage of the asthma phenotype in African-American (AA), but not Caucasian, families to chromosome 11q markers (peak at D11S1985; LOD=2). To refine this region, mapping analysis of 91 AA families (51 multiplex families and 40 asthmatic case-parent trios) was performed with an additional 17 markers flanking the initial peak linkage marker. Multipoint analyses of the 51 multiplex families yielded significant evidence of linkage with a peak non-parametric linkage score of 4.38 at marker D11S1337 (map position 68.6 cM). Furthermore, family-based association and transmission disequilibrium tests conducted on all 91 families showed significant evidence of linkage in the presence of disequilibrium for several individual markers in this region. A putative susceptibility locus was estimated to be at map position 70.8 cM with a confidence interval spanning the linkage peak. Evidence from both linkage and association analyses suggest that this region of chromosome 11 contains one or more susceptibility genes for asthma in these AA families.

Adolescent↗

PubMed2026

Trio-based GWAS reveals loci associated with different forms of isolated cleft lip.

Orofacial clefts (OFCs) are the most common craniofacial birth defect and comprise a diverse group of traits with complex and heterogeneous etiologies. Genetic studies of OFCs typically approach this diversity by stratifying cases into broad diagnostic classes, including cleft lip (CL), cleft palate (CP), and cleft lip with palate (CLP). Although this strategy has yielded important insights into OFC risk, it ignores the phenotypic heterogeneity within each subtype. CL exhibits marked phenotypic variability, involving differences in alveolar involvement, laterality, and sidedness that may reflect distinct etiologies. Given this phenotypic diversity within CL, we assembled a multi-ancestry cohort of 837 nonsyndromic CL case-parent trios with whole-genome sequencing and detailed phenotyping. We performed genome-wide association scans (GWAS) via transmission disequilibrium tests for CL overall and for 14 CL subtypes defined by involvement of the alveolus (with and without), laterality (uni- and bilateral), and sidedness (left and right). We identified four genome-wide significant loci. Two loci, IRF6 and 8q24.21, were both detected in the overall CL GWAS. PLCB1/PLCB4 and MAFB were detected in GWASs of alveolar cleft involvement and CL left sidedness, respectively. These subtype-specific associations were followed by case-only comparisons that reflect the presence or absence of alveolus cleft or left-sided bias of CL to confirm the specificity of the association signal to the particular subtype. Our results provide evidence of within-class CL subtype-specific genetic links for loci previously discussed in the context of primary OFC classes and demonstrate the value of granular OFC subtype characterization to capture trait-specific associations.

Alveolus Cleft↗

PubMed2000

A common measure of disease-gene associations for case-control and tdt studies.

PURPOSE: Associations between a disease and a candidate gene can be evaluated in case-control studies, or using the transmission/disequilibrium test (TDT) in data from studies of case-parent trios. Consequently, data for a given disease-gene association are often available from both case-control and "TDT studies." The present investigation was undertaken to identify a measure of the magnitude of a disease-gene association that could be estimated using data from either type of study.METHODS: The magnitude of a disease-gene association detected using the TDT can be estimated by the frequency (T) with which heterozygous parents transmit the putative, high-risk allele to affected offspring. To derive an expression for T that could be solved using data from a case-control study, T was first rewritten as a function of the relative frequencies of the genotypes, at the candidate gene, among the affected offspring of a heterozygous parent. By application of Bayes' theorem, this equation was reduced to a form that could be solved using case-control data.RESULTS: T can be expressed as a function of the genotypic probabilities among individuals with the disease of interest and the frequency of the high-risk allele in the general population, which can be estimated from cases and controls, respectively. Hence, estimates of T can be derived from the data available in a case-control study.CONCLUSIONS: The parameter T, which provides a measure of the magnitude of a disease-gene association, can be estimated from either case-control or TDT data and, therefore, provides a means by which to compare results from these two types of studies. As in other areas of epidemiology, comparison of a quantitative measure of the magnitude of an association, as well as the direction and statistical significance of the association, should greatly aid in the interpretation of the overall body of literature on a particular disease-gene association, and may help to clarify seemingly discrepant results.

Journal Article↗

PubMed2001

A case-control study of nonsyndromic oral clefts in Maryland.

PURPOSE: Isolated, nonsyndromic oral clefts cases (n = 171) and unaffected controls (n = 182) were used to identify both genetic and environmental risk factors. METHODS: Infants born in Maryland between 1992 to 1998 with an isolated, nonsyndromic oral cleft [cleft lip (CL), cleft lip and palate (CLP), or cleft palate (CP)] were recruited and exposure plus family history data were collected. Controls were unaffected infants. DNA was collected from all cases and their parents, plus controls. RESULTS: No statistically significant association was found between any of the following: maternal smoking, vitamin use, urinary tract infection, or recreational drug use in either univariate analysis or after adjusting for maternal age and education. More control mothers reported alcohol use during the critical time period of pregnancy (one month before conception through the first trimester) as compared to case mothers. There was a 10-fold increase in risk to siblings of cases as compared to siblings of controls. Markers at four candidate genes were examined: transforming growth factor alpha (TGF alpha), transforming growth factor beta 3 (TGF beta 3), MSX1, and BCL3. Only MSX1 showed significant differences in allele frequencies between CP cases and controls. MSX1 also showed significant evidence of linkage disequilibrium with a susceptibility gene controlling risk for CP. CONCLUSION: Most environmental risk factors examined here gave little evidence of association with risk to isolated, nonsyndromic oral clefts, although any alcohol consumption seemed protective. MSX1 showed evidence of linkage disequilibrium in both case-control and case-parent trio analysis.

Case-Control Studies↗

PubMed2000

Associations between HLA-DQB1 high-risk alleles and type I diabetes do not depend on cytomegalovirus antibody status at onset: a case-parent study conducted in Chile.

The purpose of the present study is to ascertain whether the associations between HLA-DQB1*0201 and DQB1*0302 alleles and childhood diabetes depend on the presence of antibodies to human cytomegalovirus (CMV). A study of incident type I diabetes cases and parents was conducted in Santiago, Chile. HLA-DQB1 polymorphisms were determined in 85 case-parent trios (255 subjects), while the detection of CMV was carried out only in the incident cases. As expected, HLA-DQB1 polymorphisms are strongly associated with type I diabetes, with crude odds ratios of 3.7 (95% confidence interval (CI) 1.8-7.7) for the DQB1*0201 allele and 10.3 (95% CI 5.0-21.4) for the DQB1*0302 allele. In the subset of families with CMV+ cases, the odds ratios were estimated as 3.7 (95% CI 1.6-8.6) for the DQB1*0201 allele and 11.1 (95% CI 4.8-25.8) for the DQB1*0302 allele. In families with patients who tested negative for CMV antibodies, the odds ratios were calculated as 3.5 (95% CI 0.7-16.8) for the DQB1*0201 allele, and 8.0 (95% CI 1.8-34.7) for the DQB1*0302 allele. There was no evidence of statistical interaction between CMV antibodies and the DQB1*0201 allele (P value = 0.9) or the DQB1*0302 allele (P value = 0.7). In conclusion, alleles DQB1*0302 and DQB1*0201 do not display distinct associations with type I diabetes depending on the presence of antibodies for CMV.

Adolescent↗

PubMed2003

Nonparametric disequilibrium mapping of functional sites using haplotypes of multiple tightly linked single-nucleotide polymorphism markers.

As the speed and efficiency of genotyping single-nucleotide polymorphisms (SNPs) increase, using the SNP map, it becomes possible to evaluate the extent to which a common haplotype contributes to the risk of disease. In this study we propose a new procedure for mapping functional sites or regions of a candidate gene of interest using multiple linked SNPs. Based on a case-parent trio family design, we use expectation-maximization (EM) algorithm-derived haplotype frequency estimates of multiple tightly linked SNPs from both unambiguous and ambiguous families to construct a contingency statistic S for linkage disequilibrium (LD) analysis. In the procedure, a moving-window scan for functional SNP sites or regions can cover an unlimited number of loci except for the limitation of computer storage. Within a window, all possible widths of haplotypes are utilized to find the maximum statistic S* for each site (or locus). Furthermore, this method can be applied to regional or genome-wide scanning for determining linkage disequilibrium using SNPs. The sensitivity of the proposed procedure was examined on the simulated data set from the Genetic Analysis Workshop (GAW) 12. Compared with the conventional and generalized TDT methods, our procedure is more flexible and powerful.

Algorithms↗

PubMed2002

Backward Haplotype Transmission Association (BHTA) algorithm - a fast multiple-marker screening method.

The mapping of complex traits is one of the most important and central areas of human genetics today. Recent attention has been focused on genome scans using a large number of marker loci. Because complex traits are typically caused by multiple genes, the common approaches of mapping them by testing markers one after another fail to capture the substantial information of interactions among disease loci. Here we propose a backward haplotype transmission association (BHTA) algorithm to address this problem. The algorithm can administer a screening on any disease model when case-parent trio data are available. It identifies the important subset of an original larger marker set by eliminating the markers of least significance, one at a time, after a complete evaluation of its importance. In contrast with the existing methods, three major advantages emerge from this approach. First, it can be applied flexibly to arbitrary markers, regardless of their locations. Second, it takes into account haplotype information; it is more powerful in detecting the multifactorial traits in the presence of haplotypic association. Finally, the proposed method can potentially prove to be more efficient in future genomewide scans, in terms of greater accuracy of gene detection and substantially reduced number of tests required in scans. We illustrate the performance of the algorithm with several examples, including one real data set with 31 markers for a study on the Gilles de la Tourette syndrome. Detailed theoretical justifications are also included, which explains why the algorithm is likely to select the 'correct' markers.

Algorithms↗