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Catherine Bourgain

Publications and source records attributed to Catherine Bourgain.

11 recordsLinked to original sources

Are genome-wide association studies all that we need to dissect the genetic component of complex human diseases?

With the availability of dense maps of anonymous and frequent SNPs spanning the whole human genome, genome-wide association studies are now becoming a reality. In this paper, we discuss the utility of these approaches to detect genetic risk variants involved in complex disease susceptibility and, in the best case scenario where a signal is detected, how helpful it will be to the understanding of the pathological process.

Genetic Diseases, Inborn↗

New susceptibility locus for hypertension on chromosome 8q by efficient pedigree-breaking in an Italian isolate.

Essential hypertension (EH) affects a large proportion of the adult population in Western countries and is a major risk factor for cardiovascular diseases. EH is a multifactorial disease with a complex genetic component. To tackle the complexity of this genetic component, we have initiated a study of Campora, an isolated village in South Italy. A random sample of 389 adults was genotyped for a very dense microsatellite genome scan and phenotyped for EH. Of this sample, 173 affected individuals were all related through a 2,180-member pedigree and could be integrated within a linkage analysis. The complexity of the pedigree prevented its direct use for a non-parametric linkage (NPL) analysis. Therefore, the method proposed by Falchi et al. [2004, Am. J. Hum. Genet., 75, 1015-1031] was used for automatic pedigree-breaking. We identified a new locus for EH on chromosome 8q22-23 and detected linkage with two known loci for EH: 1q42-43 and 4p16. Simulations showed that the linkage with 8q22-23 is highly genome-wide significant, even when accounting for the breaking of the pedigree. An extension to qualitative traits of another pedigree-breaking approach [Pankratz et al., 2001, Genet. Epidemiol., 21 (Suppl. 1), S258-S263] also detected a significant linkage on 8q22-23 using a remarkably different set of sub-pedigrees and helped to refine the location of the linkage signal. This work both identifies a new locus strongly linked to hypertension and shows that the power of linkage analysis can be improved by the appropriate use of efficient pedigree-breaking strategies.

Chromosomes, Human, Pair 8↗

Impact of the diagnosis definition on linkage detection.

Previous genome scan linkage analyses of the disease Kofendrerd Personality Disorder (KPD) with microsatellites led to detect some regions on chromosomes 1, 3, 5, and 9 that were identical for the three populations AI, KA, and DA but with large differences in significance levels. These differences in results may be explained by the different diagnosis definitions depending on the presence/absence of 12 traits that were used in the 3 populations AI, KA, and DA. Heterogeneity of linkage was thus investigated here according to the absence/presence of each of the 12 traits in the 3 populations. For this purpose, two methods, the triangle test statistic and the predivided sample test were applied to search for genetic heterogeneity. Three regions with a strong heterogeneity of linkage were detected: the region on chromosome 1 according to the presence/absence of the traits a and b, the region on chromosome 3 for the trait b, and the region on chromosome 9 for the traits k and l. These 3 regions were the same as those detected by linkage analyses. No novel region was detected by the heterogeneity tests. Concerning chromosome 1, linkage analyses showed a much stronger evidence of linkage for traits a and b and for a combination of these traits than for KPD. Moreover, there was no indication of linkage to any of the other traits used to define the diagnosis of KPD. A genetic factor located on the chromosome 1 may have been detected here which would be involved specifically in traits a and b or in a combination of these traits.

Chromosomes, Human, Pair 1↗

Detection of susceptibility loci by genome-wide linkage analysis.

The objective of this study is to evaluate the efficacy of a model-free linkage statistics for finding evidence of linkage using two different maps and to illustrate how the comparison of results from several populations might provide insight into the underlying genetic etiology of the disease of interest. The results obtained in terms of detection of the risk loci and threshold for declaring linkage and power are very similar for a dense SNP map and a sparser microsatellite map. The populations differed in terms of family ascertainment and diagnosis criteria, leading to different power to detect the individual underlying disease loci. Our results for the individual replicates are consistent with the disease model used in the simulation.

Chromosome Mapping↗

Modeling the effect of a genetic factor for a complex trait in a simulated population.

Genetic Analysis Workshop 14 simulated data have been analyzed with MASC(marker association segregation chi-squares) in which we implemented a bootstrap procedure to provide the variation intervals of parameter estimates. We model here the effect of a genetic factor, S, for Kofendrerd Personality Disorder in the region of the marker C03R0281 for the Aipotu population. The goodness of fit of several genetic models with two alleles for one locus has been tested. The data are not compatible with a direct effect of a single-nucleotide polymorphism (SNP) (SNP 16, 17, 18, 19 of pack 153) in the region. Therefore, we can conclude that the functional polymorphism has not been typed and is in linkage disequilibrium with the four studied SNPs. We obtained very large variation intervals both of the disease allele frequency and the degree of dominance. The uncertainty of the model parameters can be explained first, by the method used, which models marginal effects when the disease is due to complex interactions, second, by the presence of different sub-criteria used for the diagnosis that are not determined by S in the same way, and third, by the fact that the segregation of the disease in the families was not taken into account. However, we could not find any model that could explain the familial segregation of the trait, namely the higher proportion of affected parents than affected sibs.

Alleles↗

Comparing strategies for association mapping in samples with related individuals.

In this paper, different strategies to test for association in samples with related individuals designed for linkage studies are compared. Because no independent controls are available, a family-based association test and case-control tests corrected for the presence of related individuals in which unaffected relatives are used as controls were tested. When unrelated controls are available, additional strategies including selection of a single case per family considering either all families or a subset of linked families, are also considered. Analyses are performed on the simulated dataset, blind to the answers. The case-control test corrected for the presence of related individuals is the most powerful strategy to detect three loci associated with the disease under study. Using a correction factor for the case-control test performed conditional on the marker information rather than unconditional does not impact the power significantly.

Case-Control Studies↗

Complex trait mapping in isolated populations: Are specific statistical methods required?

In this paper, we review the statistical methods that can be used in isolated populations to map genes involved in complex diseases. Our intention is to highlight the fact that if the features of population isolates may help in the identification of susceptibility factors for complex traits, the choice and design of methods for statistical analysis in these populations deserve particular care. We show that methods designed for outbred samples are generally not appropriate for isolated populations and could lead to false conclusions.

Chromosome Mapping↗

Testing for Hardy-Weinberg equilibrium in samples with related individuals.

When the classical chi(2) goodness-of-fit test for Hardy-Weinberg (HW) equilibrium is used on samples with related individuals, the type I error can be greatly inflated. In particular the test is inappropriate in population isolates where the individuals are related through multiple lines of descent. In this article, we propose a new test for HW (the QL-HW test) suitable for any sample with related individuals, including large inbred pedigrees, provided that their genealogy is known. Performed conditional on the pedigree structure, the QL-HW test detects departures from HW that are not due to the genealogy. Because the computation of the QL-HW test becomes intractable for very polymorphic loci in large inbred pedigrees, a simpler alternative, the GCC-HW test, is also proposed. The statistical properties of the QL-HW and GCC-HW tests are studied through simulations considering a sample of independent nuclear families, a sample of extended outbred genealogies, and samples from the Hutterite population, a North American highly inbred isolate. Finally, the method is used to test a set of 143 biallelic markers spanning 82 genes in this latter population.

Chi-Square Distribution↗

Are common disease susceptibility alleles the same in outbred and founder populations?

Founder populations have been the subjects of complex disease studies because of their decreased genetic heterogeneity, increased linkage disequilibrium and more homogeneous environmental exposures. However, it is possible that disease alleles identified in founder populations may not contribute significantly to susceptibility in outbred populations. In this study we examine the Hutterites, a founder population of European descent, for 103 polymorphisms in 66 genes that are candidates for cardiovascular or inflammatory diseases. We compare the frequencies of alleles at these loci in the Hutterites to their frequencies in outbred European-American populations and test for associations with cardiovascular disease-associated phenotypes in the Hutterites. We show that alleles at these loci are found at similar frequencies in the Hutterites and in outbred populations. In addition, we report associations between 39 alleles or haplotypes and cardiovascular disease phenotypes (P<0.05), with five loci remaining significant after adjusting for multiple comparisons. These data indicate that this founder population is informative and offers considerable advantages for genetic studies of common complex diseases.

Cardiovascular Diseases↗

Novel case-control test in a founder population identifies P-selectin as an atopy-susceptibility locus.

To avoid problems related to unknown population substructure, association studies may be conducted in founder populations. In such populations, however, the relatedness among individuals may be considerable. Neglecting such correlations among individuals can lead to seriously spurious associations. Here, we propose a method for case-control association studies of binary traits that is suitable for any set of related individuals, provided that their genealogy is known. Although we focus here on large inbred pedigrees, this method may also be used in outbred populations for case-control studies in which some individuals are relatives. We base inference on a quasi-likelihood score (QLS) function and construct a QLS test for allelic association. This approach can be used even when the pedigree structure is far too complex to use an exact-likelihood calculation. We also present an alternative approach to this test, in which we use the known genealogy to derive a correction factor for the case-control association chi2 test. We perform analytical power calculations for each of the two tests by deriving their respective noncentrality parameters. The QLS test is more powerful than the corrected chi2 test in every situation considered. Indeed, under certain regularity conditions, the QLS test is asymptotically the locally most powerful test in a general class of linear tests that includes the corrected chi2 test. The two methods are used to test for associations between three asthma-associated phenotypes and 48 SNPs in 35 candidate genes in the Hutterites. We report a highly significant novel association (P=2.10-6) between atopy and an amino acid polymorphism in the P-selectin gene, detected with the QLS test and also, but less significantly (P=.0014), with the transmission/disequilibrium test.

Alleles↗

Comparison of family based haplotype methods using intragenic SNPs in candidate genes.

The choice of an optimal marker strategy while analysing intragenic SNPs is presently of crucial importance, given the increasing amount of available data. Classical case/control association studies or family based association tests such as the TDT are very popular. However, as these methods are not able to analyse multiple markers simultaneously, different extensions have been proposed in order to use multiple markers. In the present study, the efficiency of five family based haplotypic methods to detect the role of candidate genes is evaluated and compared between them and with the classical single point TDT. Simulations of intragenic SNP maps are performed in recently founded populations. One or several SNPs are assumed to be the functional polymorphisms following different genetic models. Different modes of SNP combinations underlying the genetic susceptibility (epistasis or heterogeneity) are considered. Whereas haplotypic methods perform better in situations of heterogeneity, the TDT remains the most powerful approach in epistasis models as long as the marginal effect of one the SNPs involved in the susceptibility remains important. Haplotypic methods perform better than the TDT when the marginal effect of each SNP is small. Given the similar characteristics of intragenic LD in both old large populations and recently founded populations, in particular the weak correlation between LD and distance, our results are not likely to be specific to founder populations and can be generalized.

Epistasis, Genetic↗