Data simulation for GAW9 problems 1 and 2.
Herein we describe the methods utilized to simulate the genetic marker data for GAW9 Problems 1 and 2, as well as the pedigree and phenotype data for GAW9 Problem 1.
Biomedical subjects
Publications and source records attributed to J Ott.
Herein we describe the methods utilized to simulate the genetic marker data for GAW9 Problems 1 and 2, as well as the pedigree and phenotype data for GAW9 Problem 1.
Previously, a maximum likelihood method was described to construct a support interval for the risk. This method is extended to incorporate genotype specific penetrance probabilities in the calculation of a risk support interval. As an empirical example, the support interval for the risk is calculated for a member of a published breast-ovarian cancer kindred.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Previously reported linkage of bipolar affective disorder to DNA markers in the pericentromeric region of chromosome 18 was reexamined in a larger homogeneous sample of Old Order Amish families. Four markers (D18S21, D18S53, D18S44, and D18S40) were examined in three kindreds containing 31 bipolar I (BP I) individuals. Although linkage findings were replicated in the one previously studied Amish pedigree containing four BP I individuals, linkage to this region was excluded in the larger sample. If a susceptibility locus for bipolar disorder is located in this region of chromosome 18, it is of minor significance in this population.
Sacral defect with anterior meningocele (SDAM) is a type of caudal dysgenesis. It is present at birth and becomes symptomatic later in life, usually because of obstructive labor in females, chronic constipation, rectal fistula and abscess, or meningitis. The inheritance is autosomal dominant. HLA has been implicated in caudal dysgenesis because of analogy with disorders of the T-locus complex, a tail length determining gene in mice which is linked to the major histocompatibility complex, H-2. Members of a 5-generation family with sacral defect and anterior meningocele (SDAM) were typed with polymorphic markers (dinucleotide repeats D6S89, D6S105, D6S109, and TCTE1) linked to HLA. Two-point and multipoint analysis exclude the HLA region as the location for the SDAM gene in this family.
Explore the source record for details and available documents.
Various mutations in the prion protein (PrP) gene are associated with Creutzfeldt-Jakob disease (CJD), a transmissible fatal neurodegenerative disorder. Among Libyan Jews, CJD is a familial disease with an incidence about 100 times higher than the worldwide population. CJD in this community segregates with a point mutation at codon 200 of the PrP gene which causes the substitution of lysine for glutamate. This mutation was found in all definitely affected individuals and yields a maximum lod score of 4.85. Some healthy elderly mutation carries above 65 years of age were identified, suggesting partial penetrance. Homozygous patients have the same disease pattern and age of onset as heterozygous patients, which argues that CJD associated with the codon 200 lysine mutation is a true dominant disorder. In the caucasian population, Palmer et al. (1991) reported an association between homozygosity in a polymorphic site at codon 129 of the PrP gene, coding for either valine or methionine, with a tendency to acquire the sporadic or iatrogenic forms of CJD, as well as with disease age of appearance in the genetic type. The incidence of the polymorphism at codon 129 in the control Libyan population is similar to the one found in the caucasian population. In the Libyan CJD patients, the codon 200 mutation is within a Met129-encoding allele. The incidence of the Met allele is significantly higher in the affected pedigrees than in the control Libyan population; however, no difference was detected between CJD patients, codon 200 healthy carriers, and their normal family members.(ABSTRACT TRUNCATED AT 250 WORDS)
One of the major challenges in genetic linkage analyses is the study of complex diseases. We demonstrate here the use of two-locus linkage analysis in multiple sclerosis (MS), a multifactorial disease with a complex mode of inheritance. In a set of Finnish multiplex families, we have previously found evidence for linkage between MS susceptibility and two independent loci, the myelin basic protein gene (MBP) on chromosome 18 and the HLA complex on chromosome 6. This set of families provides a unique opportunity to perform linkage analysis conditional on two loci contributing to the disease. In the two-trait-locus/two-marker-locus analysis, the presence of another disease locus is parametrized and the analysis more appropriately treats information from the unaffected family members than single-disease-locus analysis. As exemplified here in MS, the two-locus analysis can be a powerful method for investigating susceptibility loci in complex traits, best suited for analysis of specific candidate genes, or for situations in which preliminary evidence for linkage already exists or is suggested.
Explore the source record for details and available documents.
Genetic chiasma interference occurs when the occurrence of one crossover (or chiasma) influences the probability of another crossover occurring nearby. We investigated, by simulation studies, the power of three statistical methods to detect interference. Neither the traditional three-locus method nor a multiplicative model approach are very powerful, while a multilocus-feasible map function approach is more powerful, particularly as the number of loci increases. We show that the power to detect interference is quite sensitive to the underlying type of interference. When we tested for interference in two mouse data sets (from chromosomes 1 and 12), we found significant evidence of positive interference.
We performed a genomic search for linkage to autosomal recessive retinitis pigmentosa in a large pedigree obtained from the Dominican Republic using microsatellite markers. Regions of the genome known to contain genes for retinitis pigmentosa were preferentially tested. One of these regions, on chromosome 6p, which contains the gene for peripherin, gave positive lod scores. Use of a mononucleotide repeat polymorphism in the peripherin gene excluded this locus. Two- and multi-point analyses suggest that the most likely location for the disease gene is near D6S291, which is located approximately 20 centimorgans telomeric from peripherin.
Genetic risks are usually computed under the assumption that genetic parameters, such as the recombination fraction, are known without error. Uncertainty in the estimates of these parameters must translate into uncertainty regarding the risk. To allow for uncertainties in parameter values, one may employ Bayesian techniques or, in a maximum-likelihood framework, construct a support interval (SI) for the risk. Here we have implemented the latter approach. The SI for the risk is based on the SIs of parameters involved in the pedigree likelihood. As an empirical example, the SI for the risk was calculated for probands who are members of chronic spinal muscular atrophy kindreds. In order to evaluate the accuracy of a risk in genetic counseling situations, we advocate that, in addition to a point estimate, an SI for the risk should be calculated.
OBJECTIVE: To specify in detail the clinical phenotype in 2 Finnish families demonstrating linkage between the type II procollagen gene (COL2A1) and osteoarthritis (OA). We also reevaluated the linkage and screened the exon sequences of the COL2A1 gene for mutations. METHODS: We used single-stranded conformation polymorphism and denaturing gradient-gel electrophoresis techniques for the analyses. RESULTS: The patients' phenotype represented typical, but early-onset, OA. There was no clinical or radiographic evidence of chondrodysplasia. No mutation in the protein-coding regions of the COL2A1 gene could be identified. However, the linkage analysis with a new multiallelic marker resulted in a statistically more significant logarithm of odds (LOD) score than has been reported. CONCLUSION: Familial OA with classic clinical and radiographic findings is tightly linked to the COL2A1 gene. Systematic screening of the 54 exons did not, however, reveal any mutations; this suggests that the mutation may lie in the promoter region or within the introns of this 35-kb gene.
Computer-based simulation has been an important method in human linkage analysis for a long time. Typically, such analyses have been performed by simulating a set of linked markers according to the intermarker recombination fractions, under the assumption of no genetic interference. A novel approach is proposed in which such simulations can be performed using chromosome-based methods, rather than traditional recombination fraction-based methods. We propose simulating pedigree data using a crossover formation (CF) process to generate the number of crossovers and their locations in Morgans along the entire length of a chromosome. By this method, one can generate simulated multilocus data for any number of loci on a chromosome much more efficiently than with the currently available methods like those used in the SLINK or SIMLINK programs. Further, interference can be incorporated directly in this method, which is not possible with existing packages.
We present two new approaches to the problem of genetic heterogeneity encountered in linkage analysis of familial Alzheimer's disease. We used two-locus models to represent the possible existence of two disease genes while allowing for intrafamilial heterogeneity, and modeled the occurrence of the early onset form of the disease with epistasis. We developed a mixture model of heterogeneity where the early and late onset family types can be either linked to chromosome 19, 21, or unlinked, and where it is not necessary to arbitrarily preclassify a family into an early or late onset family type.
We examined the power of detecting linkage heterogeneity when the null hypothesis is that all families are linked to one locus (A) and the two alternative hypotheses are either 1) a proportion of the families are linked to locus A and the remaining families are linked to a second locus B or 2) a proportion of the families are linked to locus A or B and a third proportion of the families are unlinked to either locus. The power of detecting linkage heterogeneity is estimated for various proportions of families linked to loci A, B or unlinked to either locus (sampling under the alternative hypothesis). To estimate the significance level, the data set is sampled under the null hypothesis. For sampling under both hypotheses, a bootstrap approach is employed, sampling the simulated pedigrees with replacement. The power to detect linkage heterogeneity is strongest when the recombination fraction is 0 and equal proportions of the families are linked to loci A and B. The power decreases as the recombination fraction increases, the proportion of unlinked families increases and the disparity between the proportion of the families linked to either locus A or B increases. In the data set of 32 Duke Familial Alzheimer Disease families, when equal proportions of families are linked to loci A and B, the power to detect linkage heterogeneity is 0.94 using a likelihood ratio criterion of 10:1. The p value that corresponds to the likelihood ratio of 10:1 is estimated as 0.013 with a 95% confidence interval for p ranging from 0.012 to 0.014.
Explore the source record for details and available documents.