Becker's model and prenatal diagnosis in proximal spinal muscular atrophy (SMA): a note of caution.
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Female↗
Biomedical subjects
F Clerget-Darpoux
Publications and source records attributed to F Clerget-Darpoux.
Complementation and maternal effect in insulin-dependent diabetes.
The marker association segregation chi-square (MASC) method was applied to a sample of 416 Caucasians affected with insulin-dependent diabetes mellitus (IDDM), for which information on the parental and sibship status was available, as well as HLA typing. We show that the model which best explains all the observations assumes a cis or trans complementation of two tightly linked genes within the HLA region, an additional maternal effect, and other familial factors. The HLA molecule corresponding to the complementation of Arg52(+) and Asp57(-) has been recently proposed as explaining susceptibility to IDDM. However, this hypothesis does not account for the overall observations made on the HLA marker in IDDM patients and their relatives. The MASC method may also be applied to evaluate the risk for relatives of an affected individual (the "index"). For example, the risk for a sib depends not only on the parental status and on the number of HLA haplotypes he shares with the index, but also on which haplotype the index himself inherited from his mother and father.
Diabetes Mellitus, Type 1↗
Assessing the effect of multiple linkage tests in complex diseases.
The significance of a lod score value of 3 is very difficult to assess in linkage studies between a genetic marker and a complex disease. One reason is that multiple tests may have been performed, voluntarily or otherwise. For the same disease, linkage may be tested by different laboratories with several markers under various genetic models and diagnostic schemes for the disease. In such a case, we show that the probability of getting a lod score value of 3 under independent transmission of the disease and the marker may be not negligible.
Female↗
Hereditary retinoblastoma: can balanced insertion entirely explain the differences of expressivity among families?
Although the retinoblastoma gene has been isolated and sequenced, the difference in penetrance and expressivity among families has not yet been fully explained. Balanced chromosomal insertion involving the 13q14 regions has been shown to account for some families with several unaffected carriers. Since there could be cases with karyotypically undetectable insertions, we tested whether this mechanism was general enough to explain the whole difference in expressivity among families. Using 166 pedigrees, reported in nine series available in the literature (including our own), we conclude that balanced insertion cannot entirely explain the familial data, even if we allow for a reduced viability of unbalanced gametes. Other mechanisms are proposed and discussed in this paper.
Chromosome Aberrations↗
Excess of maternal HLA-DR3 antigens in HLA DR3,4 positive type 1 (insulin-dependent) diabetic patients.
The susceptibility determinants of Type 1 (insulin-dependent) diabetes mellitus are known to be associated with both HLA-DR3 and DR4. In our study we wished to determine if the parental origin of these antigens could influence susceptibility to the disease. We analysed the inheritance of DR3 and DR4 haplotypes from the father or mother (DR3p, DR4p, DR3m and DR4m, respectively), in the index cases and in the affected and non-affected siblings of 246 diabetic simplex and 41 multiplex families without affected parents. An independent series of 80 multiplex families (GAW 5) was also studied. Among the DR3,4 positive index cases and affected siblings, the paternal and maternal DR3 and DR4 antigens were not distributed randomly: 62% and 72%, respectively, had received DR4 from their father and DR3 from their mother (DR4p/DR3m), while only 38% and 28%, respectively, had received a paternal DR3 together with a maternal DR4 (DR3p/DR4m). This differed significantly from the 50% expected ratio (p less than 0.01) and was not observed in unaffected siblings. No excess of maternal DR3 in the absence of DR4 and no excess of paternal DR4 in the absence of DR3 were observed. The finding suggests that some maternal DR3 related event (presumably during pregnancy) might play an enhancing role in the pathogenesis of Type 1 diabetes. It also implies that siblings with both DR4p and DR3m have a significantly higher risk for disease than those with DR3p and DR4m.
Adult↗
Sampling strategy in linkage studies of affective disorders.
Evidence of linkage in families of bipolar patients has so far been identified with genetic markers on chromosome X and 11. However, replications of these data have not consistently been reported in either case, which favours the hypothesis of genetic heterogeneity. Therefore, we have tried to outline a sampling strategy for linkage replication in affective disorders. We estimated the average number of nuclear families required to replicate X or 11 linkage as a function of the degree of heterogeneity as well as the number to prove heterogeneity given that linkage exists. The results are presented and discussed.
Bipolar Disorder↗
Two-disease-locus model: segregation analysis using information on two markers in nuclear families. Application to IDDM.
In the present paper, an extension of segregation analysis is proposed using information on the joint segregation of two unlinked markers conditional on the disease status in nuclear families, in order to consider two-locus models with one locus linked to the first marker and the other linked to the second marker. We propose tests for examining evidence for the effect of genes located at these two loci and whether this effect is multiplicative or not. This method is then applied to a sample of IDDM families typed for the HLA and Gm markers to test, in addition to a factor of the HLA region, the potential involvement of the Gm system in the susceptibility to IDDM. The analysis does not provide evidence for such an involvement.
Chromosome Mapping↗
On the use of chi 2 tests for nested categorized data.
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Chi-Square Distribution↗
Genetic analysis of IDDM: summary of GAW5 IDDM results.
This paper summarizes the analyses by participants in the insulin-dependent diabetes mellitus (IDDM) component of Genetic Analysis Workshop 5 (GAW5). The data were obtained from 94 families with two or more IDDM sibs. Topics treated in the Workshop analysis included the following: methods for detecting associations and linkage, the contribution by HLA-linked and -unlinked loci to IDDM susceptibility, the role of subtypes of the serologically defined HLA specificities, the implications of associated diseases other than IDDM in the families, the significance of antibodies to Coxsackie viruses, and of autoantibodies to pancreatic islet cells and insulin, and the use of genetic models to analyze the inheritance of IDDM. There was agreement that an explanation for the data on multiplex IDDM families must include the following features: 1) There is a susceptibility locus (or loci) in the HLA region. 2) The HLA-linked factor(s) are more complex than a single locus with one disease and one nondisease allele. 3) There is additional familial correlation beyond that explained by HLA-linked susceptibility, which may be genetic and/or environmental. With regard to the third feature, IDDM-GAW5 included data on variation in Gm haplotypes and at the insulin gene, two regions unlinked to HLA. However, there was no direct evidence (i.e., from marker segregation) that the additional factor, if genetic, is linked to either Gm or the insulin gene. Nevertheless, a significant difference was found between "diabetic" and "control" insulin genes with respect to frequency of class 1 alleles for the 5' flanking polymorphism, strongly suggesting linkage.
Data Collection↗
Testing genetic models for IDDM by the MASC method.
The MASC method has been applied to the GAW5 data. The method uses the simultaneous information on association and segregation of the HLA marker with the disease and the segregation of the HLA marker in affected families. It also takes into account the differential risk for parents of a patient, as well as the different HLA haplotype sharing, according to the HLA genotype of the patient. The goodness of fit of several genetic models has been tested. The observed data are not compatible with a two-allele, one-locus model, but they fit a three-allele, one-locus model and a complementation two-locus model if additional familial correlation is allowed.
Diabetes Mellitus, Type 1↗
Segregation analysis of two genetic markers in IDDM families under two-locus models.
The purpose of our study was to examine evidence for the role of a second genetic factor in the susceptibility to IDDM, in addition to that located in the HLA region. To do this, we have studied the joint segregation of HLA and another marker conditional on disease status using the IDDM families of GAW5, under a two-locus model, one locus in the HLA region, the other close to the other marker. This marker has been, successively, Gm and the DNA polymorphism of the insulin gene 5' region. The study has been carried out using a segregation analysis method developed to make use of information on the segregation of two markers and the disease in nuclear families. The GAW5 data do not provide evidence for the role of a genetic factor in the Gm or insulin region in the etiology of IDDM.
Alleles↗
Performance of linkage analysis under misclassification error when the genetic model is unknown.
Linkage analysis of complex diseases raises a number of important methodological problems. One of them concerns the clinical classification of disease phenotypes. In this study, we investigate the effects of false positive misclassification on the estimation of the recombination fraction and on the power and the robustness of tests for linkage. These effects are investigated 1) when the genetic model of the trait locus is known; and 2) when it is unknown, by maximizing the likelihood of the marker configuration given the disease status in the family. Results show that linkage analysis of misclassified data leads to an overestimation of the recombination fraction and a loss of power of the linkage test. The results are quite similar in both situations. However, the linkage test itself is robust to this kind of misclassification error.
Affective Disorders, Psychotic↗
[Increased risk of insulin-dependent diabetes for siblings of diabetic children with the DR 3 haplotype of the mother].
Among 285 caucasoid families genotyped for HLA-A, B, C, DR including at least one insulin-dependent diabetic child, we have studied the effect of the DR3 and DR4 antigens inherited from the father or the mother (DR3p, DR3m, DR4p and DR4m, respectively) on the recurrence of the disease among siblings; families with affected parents being excluded, a total of 37 affected and 200 non affected siblings have been taken into consideration. Among the DR3, DR4 positive siblings, the DR4p/DR3m genotype was observed at a greater frequency than the DR3p/DR4m genotype among affected, but not among unaffected siblings. Comparing the respective frequencies between affected and unaffected siblings, the relative risk was 8.1 (p less than 10(-6) among DR4p/DR3m positive siblings, but is was not significantly increased among DR3p/DR4m positive siblings. The excess of maternal DR3 among affected siblings of diabetic children could be due to a gestational event associated with HLA-DR3, e.g. education of the fetal immune repertoire or the transmission of a viral infection by the mother to the fetus during pregnancy, after reactivation of the latent viral disease.
Diabetes Mellitus, Type 1↗
Pairwise permutation algorithm for ordering loci.
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Algorithms↗
A new method to test genetic models in HLA associated diseases: the MASC method.
We propose a new method to analyse data on HLA associated diseases. The method uses the simultaneous information on the marker associations and segregation with the disease. It may also take into account the differential risk of being affected for specific relatives of a patient as well as the differential HLA haplotype sharing according to the marker genotype of the patient. It is based on the principle of minimization of a sum of independent chi-squares. It allows us to test the goodness-of-fit of various models in an easy and economical way. The method is applied to a sample of 269 French IDDM patients and their relatives leading to the rejection of models with one locus closely linked to HLA with two and three alleles.
Alleles↗
Power and robustness of the linkage homogeneity test in genetic analysis of common disorders.
The power and robustness of the admixture test are studied. The power of the test depends on the genetic parameters at the disease locus. In particular, the power decreases drastically with the level of penetrance. The test is robust to errors in genetic parameters provided that the recombination fraction is not fixed a priori. However, misspecifying genetic parameters leads to a bias in the estimates of both the recombination fraction and the proportion of linked families.
Chromosome Mapping↗
Two-disease locus model: sib pair method using information on both HLA and Gm.
An adaptation of the sib pair method is given for testing the independence of transmission of Gm and the disease, using variable X (which gives information on the phenotypic identity of a sib pair for Gm). Then the joint distribution of IBD for HLA and X for Gm among affected sib pairs was derived under different two-locus models (multiplicative and other) in which one locus is strictly linked to HLA and the other to Gm. We also propose a test for a joint effect of HLA and Gm and whether this effect is multiplicative or not.
Genetic Diseases, Inborn↗