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M P Baur

Publications and source records attributed to M P Baur.

At least 37 records · Page 2Linked to original sources

Screening for linkage and association in nuclear families.

We applied linkage analysis with a sib-pair method, which also takes into account information on unaffected siblings, and family-based methods of association analysis to determine the disease affecting loci in Problem 1. Whereas the first two disease loci were correctly identified by association analysis, the sib-pair linkage method failed to detect the disease loci 3 and 4. We therefore determined the data structure and sample size necessary for demonstrating linkage to these loci.

Alleles↗

The relative efficiency of the Hardy-Weinberg equilibrium-likelihood and the conditional on parental genotype-likelihood methods for candidate-gene association studies.

Selecting a control group that is perfectly matched for ethnic ancestry with a group of affected individuals is a major problem in studying the association of a candidate gene with a disease. This problem can be avoided by a design that uses parental data in place of nonrelated controls. Schaid and Sommer presented two new methods for the statistical analysis using this approach: (1) a likelihood method (Hardy-Weinberg equilibrium [HWE] method), which rests on the assumption that HWE holds, and (2) a conditional likelihood method (conditional on parental genotype [CPG] method) appropriate when HWE is absent. Schaid and Sommer claimed that the CPG method can be more efficient than the HWE method, even when equilibrium holds. It can be shown, however that in the equilibrium situation the HWE method is always more efficient than the CPG method. For a dominant disease, the differences are slim. But for a recessive disease, the CPG method requires a much larger sample size to achieve a prescribed power than the HWE method. Additionally, we show how the relative risks for the various candidate-gene genotypes can be estimated without relying on iterative methods. For the CPG method, we represent an asymptotic power approximation that is sufficiently precise for planning the sample size of an association study.

Genetic Diseases, Inborn↗

Population data and forensic efficiency values for the STR systems HumVWA, HumMBP and HumFABP.

Population studies were carried out on Caucasians from north-west Germany using the short tandem repeat (STR) systems HumVWA (locus: 12p12-12pter), HumMBP (locus: 18q23-pter) and HumFABP (locus: 4q28-q31). After electrophoresis 9 alleles could be identified for HumVWA in a sample size of 321 unrelated individuals and 4 alleles were found for HumFABP in 106 individuals. For HumMBP-A 10 alleles and for HumMBP-B 7 alleles and 1 intermediate allele were determined in a sample size of 143 individuals. No deviations from Hardy-Weinberg equilibrium could be observed. In a small family study (HumVWA-n = 129; HumMBP-n = 59; HumFABP-n = 48) no new mutations could be found for HumMBP-A and HumFABP whereas 2 mutations were found in HumMBP-B and one mutation in HumVWA. Positive results could be obtained from 1 ng-20 pg (HumVWA, HumFABP) and 1 ng-100 pg (HumMBP) template DNA.

Alleles↗

An estimate on the frequency of duplicated haplotypes and silent alleles of human C4 protein polymorphism. II. Investigations in healthy Negro families.

The first investigation of complete MHC marker data in South African Negroes by segregation analysis in 11 families with up to three generations is presented, including quantitative evaluation of C4 allotype patterns and C4 beta chain determinations according to Steuer et al. (1). The frequency of homo- and heteroduplicated, hybrid, and non-expressed C4 alleles was determined from C4 protein phenotyping, including C4 alpha and beta chains, quantitative estimates of the relative electrophoretic C4 banding patterns by scanning densitometry, and from the other classical MHC markers by submitting all results to the family analysis program (FAP). From unrelated non-diseased individuals (n = 105) in these families with 62 haplotypes, the following frequencies were observed for non-expressed alleles: C4A*Q0 0.1189, C4B*Q0 0.2552, and for the total of heteroduplicated alleles: C4A 0.0645, C4B 0.0608. Applying additionally quantitative determinations of C4 banding patterns, homoduplications such as C4A*3 A*3, C4B*1 B*1, C4B*3 B*3, and the heteroduplication C4A*3 A*2 were assumed. In the investigated individuals the heteroduplications of C4A*12 and C4A*3 with the A*91 allele and of C4B*2 with C4B*92 were observed. It was concluded that not only allele frequencies but also the frequency of heteroduplications seems to be of specific ethnic character. Furthermore, the prior hypothesis that deletion or non-expression at one C4 locus is accompanied by duplication at the other was only confirmed for non-expressed B-alleles with C4A*3 A*91 or C4A*12 A*91.(ABSTRACT TRUNCATED AT 250 WORDS)

Alleles↗

Two-locus disease models with two marker loci: the power of affected-sib-pair tests.

Recently, Schork et al. found that two-trait-locus, two-marker-locus (parametric) linkage analysis can provide substantially more linkage information than can standard one-trait-locus, one-marker-locus methods. However, because of the increased burden of computation, Schork et al. do not expect that their approach will be applied in an initial genome scan. Further, the specification of a suitable two-locus segregation model can be crucial. Affected-sibpair tests are computationally simple and do not require an explicit specification of the disease model. In the past, however, these tests mainly have been applied to data with a single marker locus. Here, we consider sib-pair tests that make it possible to analyze simultaneously two marker loci. The power of these tests is investigated for different (epistatic and heterogeneous) two-trait-locus models, each trait locus being linked to one of the marker loci. We compare these tests both with the test that is optimal for a certain model and with the strategy that analyzes each marker locus separately. The results indicate that a straightforward extension of the well-known mean test for two marker loci can be much more powerful than single-marker-locus analysis and that is power is only slightly inferior to the power of the optimal test.

Alleles↗

The effect of misspecifying allele frequencies in incompletely typed families.

To examine the effect of a misspecified marker allele frequency, the segregation of a marker unlinked to Alzheimer's disease was simulated for the typed members of the GAW8-FAD4 pedigree. Lod scores were calculated for different assumed marker allele frequencies. The results show that a misspecification of marker frequency can lead to spuriously high lod scores. The affecteds-only method for linkage analysis is even more sensitive in regard to marker frequency misspecification. Therefore, we recommend estimation of marker allele frequencies from the actual family data. The simple estimator we considered in this paper seems to be sufficient.

Alleles↗

DNA-minisatellite mutations: recent investigations concerning distribution and impact on parentage testing.

At least 815 meioses were studied in the HinfI polymorphisms of DNA minisatellite loci D1S7, D2S44, D7S21, D7S22, and D12S11 in order to collect data on respective mutation rates. At locus D7S21 (probe MS31) a striking difference between the paternal and maternal mutation rate was observed (1.5% versus 0.2%). This study also describes, how to deal biostatistically with paternal mutations in parentage testing. Possible implications of mutations are illustrated by the description of 2 cases. Case 1 reports an "exclusion" of mother and father with probe MS1. Case 2 describes 2 paternal "exclusions" with probes MS31 and G3. The statistical likelihood for a paternal "exclusion" with 2 of the 5 probes is 0.13%. By omitting probe MS1, this frequency can be reduced to 0.02%. Nevertheless, the second case clearly shows, that informative blood group markers cannot be replaced by DNA polymorphisms.

Alleles↗

The haplotype-relative-risk (HRR) method for analysis of association in nuclear families.

One major problem in studying an association between a marker locus and a disease is the selection of an appropriate group of controls. However, this problem of population stratification can be circumvented in a quite elegant manner by family-based methods. The haplotype-relative-risk (HRR) method, which samples nuclear families with a single affected child and uses the parental haplotypes not transmitted to that child as a control individual, represents such a method for estimating the relative risk of a marker phenotype. In the special case of a recessive disease, it was already known that the equivalence of the HRR method with the classical relative risk (RR) obtained from independent samples holds only if the probability theta of a recombination between marker and disease locus is zero. We extend this result to an arbitrary mode of inheritance. Furthermore, we compare the distribution of the estimators for HRR and RR and show that, in the case of a positive linkage disequilibrium between a marker and disease allele, the distribution of the estimator for HRR is (stochastically) smaller than that for RR, irrespective of the recombination fraction. The practical implication of this result is that, for the HRR method, there is no tendency to give unduly high risk estimators, even for theta > 0. Finally, we give an expression for the standard error of the estimator for HRR by taking into account the nonindependence of transmitted and nontransmitted parental marker alleles in the case of theta > 0.

Alleles↗

Major histocompatibility complex haplotypes and complement C4 alleles in systemic lupus erythematosus. Results of a multicenter study.

In a multicenter study more than 300 central European systemic lupus erythematosus (SLE) patients were examined for HLA-B, HLA-DR, and complement C4 phenotypes. For 174 SLE patients MHC haplotypes were determined by family segregation analysis, and for 155 patients C4 gene deletions were determined by TaqI restriction fragment length polymorphism. Two haplotypes, B8-C4AQ0-C4B1-DR3 and B7-C4A3-C4B1-DR2, were identified as risk factors for SLE. These findings were confirmed by applying the haplotype frequency difference (HFD) method, which uses nontransmitted haplotypes from the family study as internal controls. Furthermore, only HLA-DR2, but not DR3, B7, or B8, was significantly increased in SLE patients independently of the two risk haplotypes. C4A gene deletions, but not silent C4AQ0 alleles, were increased in SLE patients and neither C4BQ0 alleles nor C4B gene deletions were increased. The observed frequencies of homozygosity and heterozygosity for the two haplotypes and the frequencies of homozygotes for C4AQ0 and C4A deletions did not differ from the expected values, indicating that the risk for SLE is conveyed by single allele effects. In conclusion, there are two MHC-linked susceptibility factors for Caucasian SLE patients carried by the haplotypes B7-DR2 and B8-DR3. The results argue against C4Q0 alleles being the decisive factors increasing susceptibility to SLE.

Alleles↗

Testing for association in SLE families.

Systemic lupus erythematosus (SLE) is a complex disease which is partly determined by genetic factors which influence susceptibility to the disease phenotype. In this association study we try to define the high risk haplotypes which are responsible for this disease, together with other environmental factors. In many other association studies a set of SLE patients is compared to a set of controls. The basic assumption about the underlying population is that the disease and control sample should originate from the same genetic population, which is not always completely satisfied in many studies. Therefore, we analyse our family data by applying the Haplotype Frequency Difference (HFD) Method, which constructs its internal control group from those haplotypes not transmitted to the affected individual. Results partially conform with other studies, showing that the haplotypes B8 DR3 as well as B7 DR2 have a high positive association with SLE. When the DR locus was analyzed alone, we found besides the alleles DR2 and DR3 a negative association for DR1, DR5, and DR6.

Adult↗

[Current status of linkage studies for gene localization in corneal dystrophies].

Corneal dystrophies with primarily autosomal dominant inheritance have been clearly identified both histologically and histochemically. No information is available to date on the causal enzymatic protein defect of the individual forms of dystrophy. By using linkage analysis to study families with various corneal dystrophies, an attempt is being made with polymorphous markers to find an indirect indication for localization in a chromosome. Numerous factors which exclude linkage can be named for granular, lattice and Schnyder's corneal dystrophy. Our linkage analysis studies of a second family with Schnyder's dystrophy support our indications of linkage with the sites for adenylate kinase (AK1) and the AB0 blood groups on chromosome 9.

Chromosome Aberrations↗

Inheritance of some electrophoretic phenotypes of human hair.

Four isokeratin patterns were demonstrated by means of one-dimensional SDS electrophoresis of low sulfur proteins in human hair. The phenotypes had the following frequencies: K1 = 69.70%, K1m = 18.18%, K3 = 9.09%, K3m = 3.03%. Pedigree analysis and evaluation of observed and expected frequencies of the phenotypes gave rise to the conclusion that the phenotypes are controlled by genes of two independent autosomal loci K and m. We believe that *K3 and *m are dominant, whereas *K1 and *non-m are recessive.

Electrophoresis, Polyacrylamide Gel↗

Genetic analysis of IDDM: the GAW5 multiplex family dataset.

In a collaborative effort by 12 centers from Europe and North America, data were assembled from 94 multiplex families with insulin-dependent diabetes mellitus (IDDM) for analysis of genetic and other factors of possible etiological importance. The dataset contains information on the following genetic markers: HLA-DR beta and -DQ beta restriction fragment length polymorphisms (RFLPs), three RFLPs detected with two probes that map 5' to the insulin gene, the serologically defined HLA loci, and the immunoglobulin allotypes. Data also were included for auto-antibodies to insulin and pancreatic islet cells as possible indicators of pathogenesis and for antibodies to certain viruses that have been implicated as "triggering" agents in IDDM. Medical history of family members was obtained by means of a uniform questionnaire. Identical copies of the dataset were distributed to anyone wishing to participate in the analysis for the IDDM component of GAW5. The multiplex IDDM family dataset is now available on request for further analysis.

Adolescent↗

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↗

Association and sibpair analysis for the HLA, Gm, Km, and insulin polymorphisms in multiplex IDDM families.

A log-linear model was used to analyze three-way interactions between IDDM and pairs of genetic markers. To do this, a special sample dataset was selected by taking one affected and one unaffected child from each family. Some three-way interactions were found for associations between insulin-dependent diabetes mellitus (IDDM), HLA-DR, and DQ restriction enzyme fragment length polymorphism (RFLP) patterns. No three-way interaction was found for IDDM, HLA-DR, and Gm or Km. An extended sibpair analysis was applied to the HLA-B,DR loci and to the Gm, Km, and insulin gene polymorphisms. The well-known result for IDDM and HLA was reproduced. For Gm, Km, and the insulin gene no cosegregation with IDDM could be found.

Child↗

Linkage analysis in granular corneal dystrophy (Groenouw I), Schnyder's crystalline corneal dystrophy, and Reis-Bücklers' corneal dystrophy.

Tight linkage was excluded for 8 markers in 37 blood relatives from 3 families, 29 of whom had granular corneal dystrophy (Groenouw I). Inconclusive results were obtained for linkage with four marker loci. The highest positive LOD score was 0.57 for linkage between glutamic pyruvic transaminase and granular corneal dystrophy. Tight linkage was excluded for glyoxalase-1 in eight individuals from one family with Schnyder's crystalline corneal dystrophy. Results were inconclusive for another six markers. Positive LOD scores were obtained for linkage with adenylate-kinase 1 and the ABO blood group, with values of 1.16 and 0.67, respectively. Among six blood relatives with Reis-Bücklers' corneal dystrophy, the highest positive LOD score was 1.17 for linkage with mitochondrial malic enzyme. For another six markers informative for linkage analysis, the results were inconsistent.

Blood Group Antigens↗

An estimate on the frequency of duplicated haplotypes and silent alleles of human C4 protein polymorphism. I. Investigations in healthy Caucasoid families.

The frequency of duplicated and non-expressed C4 alleles was determined by segregation analysis in 31 German and five French families with altogether 274 individuals by submitting the complete data from C4 protein phenotyping, including C4 beta chains, and the other classical MHC markers to the family analysis programme (FAP). From 120 unrelated German haplotypes the following frequencies were derived for silent alleles: C4A*Q0 0.2000, C4B*Q0 0.2083, and for the total of homo- and heteroduplicated C4A resp. C4B alleles: C4"DA"* 0.1333, C4"DB"* 0.1000. The true occurrence of the duplicated C4A*2, "DB*21" haplotype, first observed in French families, was found to be 0.0250 in the German sample. While the frequency of duplicated C4 haplotypes confirms earlier estimates, the increase in the frequency of silent alleles corresponds to those assumed from investigations at the DNA level. The results demonstrate classical protein typing with inclusion of C4 beta chain types to be an indispensable and powerful tool for haplotype recognition; they support the hypothesis that deletion at one C4 locus is accompanied by duplication at the other in a majority of haplotypes.

Alleles↗