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Segregation analysis of human red blood cell thiopurine methyltransferase activity.

Thiopurine methyltransferase (TPMT) catalyzes thiopurine S-methylation, an important metabolic pathway for drugs such as 6-mercaptopurine (6-MP). Inherited differences in the activity of this enzyme are related to individual differences in the therapeutic efficacy and toxicity of 6-MP and other thiopurine drugs. Variation of TPMT activity in the red blood cell (RBC) has been found to reflect activity differences in less accessible tissues. Previously reported qualitative analyses of inheritance of RBC TPMT in families suggested that a major gene plays a role in the regulation of activity of this enzyme. In the present study we completed complex segregation analyses of RBC TPMT activity of 213 individuals in 49 families that were randomly ascertained through children in the Rochester, MN, public school system. We found clear evidence of a major gene effect on RBC TPMT activity. Both transformed and untransformed data supported the segregation of a Mendelian major gene with frequency of 0.94 for the allele conferring high enzyme activity. The genotype distributions of individuals who were homozygous for the low activity allele, heterozygous, and homozygous for the high activity allele accounted for approximately 0.3%, 11.2%, and 88.5%, respectively, of the individuals in the sample. This major locus accounted for 66% of the total variance in untransformed RBC TPMT activity. Although there were significant residual family correlations among probable high activity homozygotes, there was insufficient power to detect additional major locus or polygenic inheritance effects on the residual variance.

Adolescent↗

Heritability and complex segregation analysis of hypoadrenocorticism in the standard poodle.

The heritability of hypoadrenocorticism (Addison's disease) was evaluated in 778 standard poodles with known Addisonian phenotypes. Addisonian status was confirmed clinically by adrenocorticotropic hormone (ACTH) challenge and 8.6 per cent of the poodles enrolled in the study were classified as being Addisonian. Hypoadrenocorticism affected both sexes with equal probability (P > 0.1). The most common coat colours had a negligible effect on the incidence of hypoadrenocorticism (P > 0.09), although red coat colour had a significant impact on the disease, probably due to the relatively small numbers of dogs with that coat colour. The heritability of hypoadrenocorticism in the standard poodle was estimated to be 0.75. Complex segregation analyses suggested that hypoadrenocorticism in the breed is influenced by an autosomal recessive locus. Clarification of both the heritability and mode of inheritance of hypoadrenocorticism in the standard poodle allows for better-informed breeding decisions.

Adrenal Insufficiency↗

Familial Aggregation and Segregation Analysis of Snoring and Symptoms of Obstructive Sleep Apnea.

To investigate possible modes of inheritance that would explain familial aggregation in obstructive sleep apnea (OSA), familial correlation and segregation analyses were performed on data derived from 584 pedigrees with 2019 cases enrolled in the Tucson Epidemiologic Study of Obstructive Airways Disease (TESOAD) who were at least 10 years of age and who had information pertaining to snoring and daytime sleepiness. Data were obtained from the 9th (May 1984 to October 1985) and 12th (February 1990 to October 1992) surveys of the TESOAD, which is a random, stratified sample of the non-Hispanic Caucasian population of Tucson, Arizona. A snoring phenotype was considered present if it occurred on at least some nights. A "sleep apnea" phenotype was constructed if participants snored and experienced daytime sleepiness. Familial correlations for snoring showed significant mother-child and sibling correlations but not father-child correlations. For sleep apnea, significant parent-daughter but not parent-son or sibling correlations were observed. Segregation analyses for snoring with regressive familial effects and sibling, age, and obesity covariates showed no evidence for mendelian transmission. However, additional familial effects were present that suggested phenotype aggregation from polygenic or environmental factors, or both. For the sleep apnea phenotype, similar segregation analyses indicated that mendelian dominant or codominant models were possible. However, the analyses also suggested that a nongenetic model fit the data as well. In addition, consistent with the familial correlations, specific maternal- and sibling-related effects remained even after inclusion of age, gender, and obesity covariates. These data support the concept that inheritable or shared environmental factors contribute to the development of OSA and that maternal components may be more important than paternal ones.

Journal Article↗

Genetic variability and segregation analysis in Glossina moristans moristans (Diptera: Glossinidae) using DNA fingerprinting.

DNA hybridization, using the M13 sequence as a probe, was used to analyze the genetic variability in four inbred lines of the tsetse fly Glossina morsitans morsitans Westwood. An average of 11.2 bands (ranging from 2 to 10 kb) were found per fly. An average of nine loci were detected in each line; 40% of the loci were polymorphic and the mean heterozygosity per locus varied from 0.098 to 0.29. Averaging the data across the four inbred lines, the band sharing estimates were 82.5% in males and 81.2% in females, and the mean band frequency estimates were 0.71 and 0.70 for males and females, respectively. Segregation of fragments, determined in "three generation" pedigrees, conformed to expected Mendelian ratios and two of seven fragments studied were linked to an X chromosome marker gene, ocra (body color).

Animals↗

Familial correlations, segregation analysis, and nongenetic correlates of soy isoflavone-metabolizing phenotypes.

Particular intestinal bacteria metabolize the soy isoflavone daidzein to equol and O-desmethylangolensin (O-DMA), metabolites that can be identified in urine. Individuals that harbor bacteria capable of producing equol or O-DMA are known as equol producers (approximately 30%-50% of the population) and O-DMA producers (approximately 80%-90% of the population), respectively. The equol-producer phenotype has been associated with sex hormone-related outcomes in several studies. However, the bacteria responsible for these phenotypes have not yet been identified and factors that influence the manifestation of these phenotypes are not well understood. To evaluate familial clustering of and nongenetic factors associated with these phenotypes, 410 individuals from 112 families participated in phenotyping (3-day soy challenge and Day 4 spot urine collection). In segregation analyses of the equol-producer phenotype, the Mendelian dominant model provided the most parsimonious fit to the data, suggesting that the pattern of inheritance of the equol-producer phenotype is consistent with an autosomal dominant trait. This phenotype was positively associated with education (p trend = 0.01), but not with sex, smoking, or several dietary factors. Results of the segregation analyses of the O-DMA-producer phenotype were inconclusive; no other models provided a more parsimonious fit to the data than the general model. This phenotype was inversely associated with age in a nonlinear model (p = 0.01), positively associated with age- and sex-adjusted height (odds ratio [OR] 10-cm increase = 0.38, 95% confidence interval [CI] = 0.15, 0.95) and body mass index (kg/m(2)) (OR = 0.91, 95% CI = 0.85, 0.96), but not with sex, education, smoking, or several dietary factors. These results suggest the equol-producer phenotype may be under some degree of genetic control and that there are likely other environmental factors not evaluated in the present analysis that contribute to both of these phenotypes. These results provide a foundation for further work to refine our understanding of heritable and environmental determinants of daidzein-metabolizing phenotypes.

Female↗

Segregation analysis of epilepsy in the Belgian tervueren dog.

In 1986, a survey of the incidence of epileptic seizures among dogs in the American Belgian Tervuren Club was undertaken. By 1989, 557 of the 607 members had returned completed surveys, providing seizure information about 938 dogs. The survey classified the dogs into one of four categories: 1) no seizures observed (738 dogs); 2) one seizure observed (26 dogs); 3) two to five seizures observed (82 dogs); and 4) more than five seizures observed (92 dogs). To evaluate the plausibility of a major gene model, a regressive logistic model was applied to these data. The results suggest that a single locus with a large effect on the incidence of seizures may be segregating in this population.

Alleles↗

Comments on methods and results in: Sherman et al., "Segregation analysis of balanced pericentric inversions in pedigree data".

The analysis by Sherman et al. (1986), its basis and results have been examined. The analysis relies on general methods, which may give acceptable results under the special conditions considered by the authors, but will usually produce more or less misleading results. The program POINTER (Lalouel & Morton 1981) is shown to be based partly on a chain of irrelevant arguments for the actual context. The so-called "conventional ascertainment rules" (Morton et al. 1983) are shown to produce misleading results in cases where their assumptions are not satisfied. The mean risk for unbalanced offspring is underestimated because of an erroneous ascertainment correction. The segregation frequencies are found to be different in three national samples, contrary to the claim by Sherman et al. Only a small proportion of all information available in the data has been utilized. Alternative and more appropriate models, hypotheses and procedures have been suggested. The frequent use of packages with computer programmes of standard statistical procedures in nonstandard situations with data from collaborative studies in human cytogenetics is discussed.

Chromosome Inversion↗

Comparison of sequential and fixed-structure sampling of pedigrees in complex segregation analysis of a quantitative trait.

In designing a study to demonstrate the existence of a major locus for a quantitative trait, an investigator chooses a sampling rule to ascertain pedigrees. The choice of sampling rule can significantly affect the study's power. Here, we compare two types of sampling rules for family studies: fixed-structure rules, in which the same set of relatives are sampled for each proband, and sequential rules, in which the relative or relatives to be sampled next may depend on the trait values of the individuals already observed. We compare fixed-structure and sequential sampling in the setting of extended pedigrees, a quantitative trait, and the genetic mixed model. Using computer simulation, we show that sequential sampling can increase power to detect segregation at a dominant major locus by over 60% in comparison with fixed-structure sampling. Just as important, this substantially increased power is obtained with an easily implemented sampling rule, one that might reasonably be employed in a family study of a quantitative trait.

Alleles↗

Segregation analysis of breast cancer in a population-based sample of postmenopausal probands: The Iowa Women's Health Study.

Inheritance of a major susceptibility gene for breast cancer has been primarily investigated in families with early-onset disease. However, familial clustering of late-onset breast cancer is well documented, and genetic factors may also be relevant. In the Iowa Women's Health Study, we evaluated evidence for a major gene after allowing for measured environmental risk factors. Two hundred sixty-five incident breast cancer probands were identified from a prospective cohort study of 41,837 women aged 55 to 69 years at baseline in 1986. A pedigree development form was mailed to the probands to ascertain all first-degree female relatives. A questionnaire and body measurement protocol were mailed to identified living relatives or surrogates. Segregation analyses were conducted on a total of 1,145 women in 251 families using regressive models as implemented in S.A.G.E. Mendelian codominant inheritance of an allele that produced an earlier-age-at-onset provided the best fit to the data. Incorporation of measured environmental risk factors as covariates yielded no significant improvements in the likelihoods. Approximately 50% of this population could be expected to carry a late-onset breast cancer susceptibility gene, and 23% of the population is susceptible because of the environment in which they live. Homozygous gene carriers are predicted to have a mean age-at-onset of 48 years, over 20 years earlier than heterozygotes; few cases would be expected among non-gene carriers. In conclusion, the transmission pattern of late-onset breast cancer may be determined by a common susceptibility gene.

Age of Onset↗

PCR-based cloning and segregation analysis of functional gene homologues in Beta vulgaris.

To analyse genetic factors that potentially affect sugar quality and yield in Beta vulgaris, we designed primers based on 18 homologous ESTs and conserved regions of 32 heterologous ESTs encoding gene products that act in the Calvin cycle, the oxidative pentose phosphate cycle, photorespiration, synthesis, transport and degradation of sucrose, glycolysis, the citric acid cycle, nitrogen metabolism and osmoprotection. Data on the amplification of 54 gene homologues from B. vulgaris are presented. Among these are 35 homologues for which DNA sequence information from B. vulgaris is now available for the first time. For genetic mapping a PCR-based strategy using CAPS (cleaved amplified polymorphic sequence), DFLP (DNA fragment length polymorphism), SSCP (single-strand conformation polymorphism) and HD (heteroduplex) analysis was adopted. RFLP analysis was also used in some cases. The different techniques used for the detection of polymorphisms are evaluated with respect to their sensitivity and versatility. In all, 42 functional genes have been assigned to the nine linkage groups of sugar beet.

Alleles↗

Restimulation properties of human alloreactive cloned T-cell lines. Dissection of HLA-D-region alleles in population studies and in family segregation analysis.

Alloactivated human lymphocytes were cloned by limiting dilution. After 1 month in culture with T-cell growth factor several clones incorporated tritiated thymidine when stimulated with the appropriate allogeneic cells. Specificity of restimulation of two primed lymphocyte clones, designated 12-2 and 12-8, was studied in detail after varying periods of culture (up to 50 days). Clone 12-2 cells were stimulated only by cells expressing the HLA-Dw antigens of the original priming cells (Dw3); furthermore, this primed lymphocyte reagent specifically recognized antigens associated with only one of the three distinct Dw3-bearing haplotypes from an informative family (KOH). Clone 12-8 cells, on the other hand, failed to recognize Dw3 antigens in the random panel or on homozygous typing cells (including the original priming cell), but were strongly restimulated by certain cells expressing Dw4 antigens. In addition, within family KOH, these restimulating products segregated with another one of the three Dw3-bearing haplotypes but with none of the three Dw4-bearing haplotypes. These two clones exemplify a hitherto unknown precision in cellular typing of the HLA-D region. Clone 12-2 allows the discrimination of a probably rare and as yet undetected HLA-Dw3 subtypic specificity. Clone 12-8, on the other hand, apparently identifies an allelic system segregating with HLA but distinct from the HLA-D determinants definable by HTC-typing.

Alleles↗

Physical mapping of the factor VIII gene proximal to two polymorphic DNA probes in human chromosome band Xq28: implications for factor VIII gene segregation analysis.

Genomic DNA segments for the coagulation factor VIIIc gene (F8C), which exhibits only limited restriction length polymorphism, map to the proximal region of band Xq28 by somatic cell hybridization analysis and in situ hybridization. Using somatic cell hybrids, we have obtained data which place probes DX13 (used to detect locus DXS15) and St14 (used to detect DXS52) distal to F8C, within band Xq28. Previous studies have mapped the factor IX gene (F9) and probe 52A (used to detect DXS51) proximal to F8C, in Xq26----q27 and Xq27, respectively (Camerino et al., 1984; Drayna et al., 1984; Mattei et al., 1985). Thus, the relative order of genetic marker loci in the Xq27----qter region is most likely cen-F9-DXS51-F8C-(DXS15, DXS52)-Xqter. The collection of these molecular probes is thus potentially useful in three-factor crosses of factor VIII gene segregation.

Animals↗

Likelihood formulation of parent-of-origin effects on segregation analysis, including ascertainment.

We developed a likelihood-based method for testing for parent-of-origin effect in complex diseases. The likelihood formulations model parent-of-origin effect and allow for incorporation of ascertainment, as well as differential male and female ascertainment probabilities. The results based on simulated data indicated that the estimates of parental effect (either maternal or paternal) were biased when ascertainment was ignored or when the wrong ascertainment model was used. The exception was single ascertainment, in which we proved that ignoring ascertainment does not bias the estimation of parental effect, in a simple parent-of-origin model. These results underscore the importance of considering ascertainment models when testing for parent-of-origin effect in complex diseases.

Bias↗

Effects of implicit parameters in segregation analysis.

In human genetic analysis, data are collected through the so-called 'ascertainment procedure'. Statistically this sampling scheme can be thought of as a multistage sampling method. At the first stage, one or several probands are ascertained. At the subsequent stages, a sequential sampling scheme is applied. Sampling in such a way is virtually a nonrandom procedure, which, in most cases, causes biased estimation which may be intractable. This paper focuses on the underlying causes of the intractability problem of ascertained genetic data. Three types of parameters, i.e. target, design and nuisance parameters, are defined as the essences to formulate the true likelihood of a set of data. These parameters are also classified into explicit or implicit parameters depending on whether they can be expressed explicity in the likelihood function. For ascertained genetic data, a sequential scheme is regarded as an implicit design parameter, and a true pedigree structure as an implicit nuisance parameter. The intractability problem is attributed to loss of information of any implicit parameter in likelihood formulation. Several approaches to build a likelihood for estimation of the segregation ratio when only an observed pedigree structure is available are proposed.

Female↗

Segregation analysis of dopamine-beta-hydroxylase (DBH) and catechol-O-methyltransferase (COMT): identification of major locus and polygenic components.

Enzymes of catecholamine metabolism, plasma dopamine-beta-hydroxylase (DBH), and erythrocyte catechol-O-methyltransferase (COMT) were each previously shown to be transmitted as single codominant loci in a sample of approximately 30 multigenerational families that were analyzed with the single major locus model. Here, both major locus and polygenic hypotheses are tested by applying the mixed model of analysis to the identical samples, after breaking the families into two-generation units. For plasma DBH, the most parsimonious model is a dominant major locus (ie, high values dominant to low values) accounting for 41% of the variance and a polygenic component accounting for 25% of the variance. For erythrocyte COMT, the most parsimonious model is a dominant major locus accounting for 56% of the variance and a polygenic component accounting for 27% of the variance. The major locus for COMT has been supported by previous biochemical studies. The major locus for DBH is supported by the finding from our previous study of possible linkage to the ABO locus. Further biochemical and molecular genetic investigations are needed to better define the genetic loci determining the activity of these enzymes.

Catechol O-Methyltransferase↗