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At least 1,153 records · Page 64Linked to original sources
PubMed1998

Calcium-binding proteins and GABA reveal spatial segregation of cell types within the developing lateral superior olivary nucleus of the ferret.

Chemical characteristics of developing neurons in the superior olivary complex of the ferret were analyzed using immunohistochemical methods. The present report of calcium-binding proteins in the developing and adult superior olivary complex shows distinct distribution patterns for parvalbumin, calbindin, and calretinin in the lateral superior olivary nucleus (LSO) of the developing ferret that correspond to distribution patterns for different projection cell types and neurotransmitters. In the neonate, there was an initial complementary distribution of calcium-binding proteins between the shell and core of the body of the developing LSO. Parvalbumin and calbindin-immunoreactive cells were present in the shell, whereas calretinin-immunoreactive cells were restricted to the core of the LSO. Gamma amino butyric acid (GABA), but not glycine, immunoreactive cells were distributed similarly in the shell of the LSO in the neonate. There were, in addition, reciprocal medial-to-lateral gradients of parvalbumin and calbindin-immunoreactive cells in the LSO shell of the neonate. These complementary patterns in the LSO were transient, however, and by the end of the second postnatal week, each calcium-binding protein differed markedly in its cellular distribution in the superior olive, including the LSO. GABA-immunoreactive cells also were restricted transiently to the shell of the LSO in neonates. The radial segregation of transient calcium-binding expression in LSO cells was orthogonal to the medial-to-lateral axis in the LSO and, therefore, parallels fibrodendritic layers and presumed isofrequency planes of the LSO. The early postnatal segregation of calcium-binding proteins in the isofrequency axis was congruent with the gradients of contralateral and ipsilateral projection cell types in adult LSO. It seems likely that developmental mechanisms regulate expression of calcium-binding protein and neurotransmitter phenotypes and that these mechanisms operate in development within the isofrequency axis as well as along the tonotopic axis of this auditory nucleus.

Age Factors↗
PubMed1996

Influence of apolipoprotein E genotypes on plasma lipid and lipoprotein concentrations: results from a segregation analysis in pedigrees with molecularly defined familial hypercholesterolemia.

Familial hypercholesterolemia (FH) is a monogenic disorder caused by mutations in the low-density lipoprotein (LDL) receptor gene. Large variations in plasma lipids and lipoprotein levels have been observed in FH families. These may be caused by other environmental and genetic factors of which apolipoprotein E (apo E) is a candidate. The possible influence of apo E polymorphism on components of variation in plasma LDL-C, triglycerides, high-density lipoprotein cholesterol (HDL-C), and lipoprotein(a) (Lp(a)) levels was investigated in 235 members of 14 families with FH. Sex-and age-adjusted mean LDL-C was influenced significantly by the apo E genotype in non-FH subjects (P <or= .01), and a similar trend was observed in FH cases. Mean plasma levels of triglyceride, HDL-C, and Lp(a) were not significantly different across the apo E genotypes in FH and in non-FH family members. Complex segregation analysis was first applied to these sex- and age-adjusted data. In addition to the major gene involved in LDL-C levels (i.e., the LDL receptor gene), there was evidence for a non-transmitted environmental major factor in addition to polygenic effect that explained the mixture of distributions in TG and a major effect in addition to polygenic loci which influenced Lp(a) levels. There was no evidence for a single major factor controlling HDL-C levels in these pedigrees. When the segregation models allowed apo E regression coefficients to be ousiotype (class) specific, the results suggested that apo E genotypes have a significant effect on LDL-C, TG, and Lp(a) levels. In conclusion, the analysis presented here supports the concept that the apo E gene has an important role in the regulation of plasma lipid and lipoproteins in FH.

Adolescent↗
PubMed1996

Segregation analysis of breast cancer: a comparison of type-dependent age-at-onset versus type-dependent susceptibility models.

Most segregation analyses of breast cancer susceptibility have modeled the effect of the major gene on the age-at-onset distribution. However, in families linked to BRCA1 or BRCA2, there is wide variation in the age-at-onset among gene carriers. We performed a segregation analysis of 544 Minnesota breast cancer families using models which parameterized the putative major gene effect in two ways: earlier age-at-onset, with a common level of susceptibility (model I), and greater susceptibility, with a common mean age-at-onset (model II). Five hypothetical modes of transmission and an unrestricted general hypothesis were fitted to the data. Twice the difference between the log(e) likelihood for the data under the specified hypothesis (recessive, no major gene, etc.) and the log(e) likelihood under the general hypothesis is distributed asymptotically as a chi-square statistic with the degrees of freedom equal to the difference in the number of parameters estimated. This difference was compared to the critical value for the chi-square distribution to assess goodness-of-fit. Under model I, both Mendelian and non-Mendelian hypotheses were rejected. When model II was used, the non-Mendelian hypotheses were rejected whereas all Mendelian hypotheses were not. Mendelian recessive inheritance of a common allele (qA = 0.11) with a high penetrance (87%) provided the best fit to the data. We then stratified the families into two subsets based on the age at diagnosis of the proband [< or = 55 years (n = 265) versus > 55 years (n = 279)]; there was no evidence of heterogeneity under either model (I or II). These data suggest that, in some breast cancer families, the effect of the putative susceptibility gene is better represented as increasing overall susceptibility to breast cancer rather than as a shift in the age-at-onset distribution.

Adult↗
PubMed1997

Segregation analysis of cardiovascular reactivity to laboratory stressors.

To better understand the contribution of major gene influences to individual differences in cardiovascular reactivity, we performed a segregation analysis on blood pressure responses to two laboratory tasks, mental arithmetic and bicycle exercise. The study population consisted of 1,451 adults (age > or = 18 years) who were members of 81 Utah pedigrees. Only 864 members performed the bicycle task because persons age 60 years or older or with heart disease were excluded. Blood pressure reactivity to mental arithmetic was defined as change from resting values, and reactivity to the bicycle task was defined as the difference between maximum blood pressure during exercise and resting values adjusted for the individual's workload. Complex segregation analysis and likelihood procedures were used to test for a major gene effect controlling blood pressure reactivity to each task. Two modifiers of the penetrance, age and sex, were considered parameters in these models. We found that diastolic blood pressure (DBP) but not systolic blood pressure reactivities to the mental arithmetic and bicycle exercise tasks were controlled by major gene effects. The best-fitting model, however, differed for the two tasks. For DBP reactivity to mental arithmetic, a major codominant model with gene frequency 0.10 was the best-fitting model; for the bicycle task, the best-fitting model was a mixed recessive model with gene frequency 0.21. Sex differences in DBP reactivity were significant in both tasks: the effect of age was significant only for the mental arithmetic task. These results suggest a significant genetic component for DBP reactivity to laboratory stressors.

Adult↗
PubMed1998

Sample size calculations for linkage analysis using extreme sib pairs based on segregation analysis with the quantitative phenotype body weight as an example.

One approach to establish linkage is based on allele-sharing methods for sib pairs. Recently, the use of extreme sib pairs (ESP) has been proposed to increase power for mapping quantitative traits in humans. Several approaches have been discussed. In this study, we calculate sample sizes for the various ESP approaches using segregation analyses of quantitative traits. We illustrate this approach by using previously published segregation analyses of body weight despite the fact that the assumptions imposed by these analyses do not hold up for this quantitative phenotype.

Body Weight↗
PubMed1999

Heritability and segregation analysis of immune responses to specific malaria antigens in Papua New Guinea.

Familial patterns of inheritance of immune responses to specific Plasmodium falciparum antigens were studied in 214 adults in an area of Papua New Guinea highly endemic for malaria. Preliminary variance component analysis indicated familial aggregation in both humoral and cellular immune responses against the ring-infected erythrocyte surface antigen (RESA) and the FC27 allele of the Merozoite surface antigen 2 (MSA-2). Including a term for sharing houses in the models affected only the antibody response to RESA. Segregation analysis of the antibody responses against RESA indicated inheritance via a multifactorial model and analysis of the proliferation response suggested a possible recessive major gene. The best fitting models for the immune responses against MSA-2 (FC27) postulated dominant major gene inheritance. We found no significant associations between HLA class I or II alleles and these two antigens in this population. Although there was evidence of familial aggregation of antibody responses to MSA-2 (3D7), the segregation analysis failed to identify a mode of inheritance. There was little or no heritability of either humoral or cellular immune responses against the NANP repeats of the Circumsporozoite protein (NANP), the synthetic malaria vaccine SPf66, or a preparation of MSA-2 (3D7) from which the repetitive part was deleted (MSA-2 (d3D7)). Although it is often difficult to separate genetic effects from the effects of living in the same environment, it appears that some immune responses against certain malaria antigens may be partly influenced by genetic factors.

Adult↗
PubMed2000

Yeast mitochondrial dynamics: fusion, division, segregation, and shape.

Mitochondria are essential organelles found in virtually all eukaryotic cells that play key roles in a variety of cellular processes. Mitochondria show a striking heterogeneity in their number, location, and shape in many different cell types. Although the dynamic nature of mitochondria has been known for decades, the molecules and mechanisms that mediate these processes are largely unknown. Recently, several laboratories have isolated and analyzed mutants in the yeast Saccharomyces cerevisiae defective in mitochondrial fusion and division, in the segregation of mitochondria to daughter cells, and in the establishment and maintenance of mitochondrial shape. These studies have identified several proteins that appear to mediate different aspects of mitochondrial morphogenesis. Although it is clear that many additional components have yet to be identified, some of the newly discovered proteins raise intriguing possibilities for how the processes of mitochondrial division, fusion, and segregation occur. Below we summarize our current understanding of the molecules known to be required for yeast mitochondrial dynamics.

Cell Division↗
PubMed2001

Tissue-specific segregation of TCRgamma delta+ NKT cells according to phenotype TCR repertoire and activation status: parallels with TCR alphabeta+NKT cells.

Whereas the majority of NKT cells in the mouse express an alpha beta TCR (NKTalpha beta cells), a small subset of NKT cells express a gamma delta TCR (NKTgamma delta). Here we have systematically analyzed the phenotype, TCR repertoire and activation status of NKTgamma delta cells in the thymus, liver, spleen and bone marrow of normal C57BL/6 mice. Our data indicate that NKTgamma delta cells segregate in a tissue-specific manner according to these parameters. While most NKTgamma delta cells in the thymus and liver have a recently activated CD62L(lo) phenotype and a TCR repertoire that is heavily biased to Vgamma1.1 and Vdelta6.3, the majority of NKTgamma delta cells in the spleen and bone marrow are CD62L(hi) and have a much less biased TCR repertoire. Moreover, expression of NK markers is high on NKTgamma delta cells in spleen and bone marrow but low in thymus and liver. Collectively our results reveal a tissue-specific segregation of NKTgamma delta cells that is strikingly similar to that recently described for CD1d-dependent and Cd1d-independent NKTalpha beta cells. We therefore propose that chronic TCR activation by tissue-specific endogenous ligands is a generic property of NKT cells of both the alpha beta and gamma delta lineages.

Animals↗
PubMed2001

Postprocessing method to segregate and quantify the broad components underlying the phosphodiester spectral region of in vivo (31)P brain spectra.

In a typical, in vivo (31)P brain spectrum, the phosphomonoester (PME) and phosphodiester (PDE) spectral region not only contains signals from freely mobile PMEs and PDEs (which are anabolic and catabolic products of membrane phospholipids) but also signals of broader underlying lineshapes from less-mobile molecules. In general, either the PME and PDE resonances are quantified as a combined value of freely mobile metabolites plus less-mobile molecules or the broader underlying signal is reduced/eliminated prior to or post data collection. In this study, a postprocessing method that segregates and quantifies the individual contributions of the freely mobile metabolites and the less-mobile molecules is introduced. To demonstrate the precision and accuracy of the method, simulated data and in vivo (31)P brain spectroscopy data of healthy individuals were quantified. The ability to segregate and quantify these various PME and PDE contributions provides additional spectral information and improves the accuracy of the interpretation of (31)P spectroscopy results. Magn Reson Med 45:390-396, 2001.

Adult↗
PubMed1998

Evidence for a Mendelian gene in a segregation analysis of generalized radiographic osteoarthritis: the Framingham Study.

OBJECTIVE: To investigate the inheritance of generalized osteoarthritis (OA). METHODS: OA was identified on hand and knee radiographs obtained from members of the Framingham Study cohort (the parents) in 1967-1970 and 1992-1993, and from their adult children in the Framingham Offspring Study in 1993-1994. All hand and knee radiographs evaluated for OA were graded using the Kellgren and Lawrence (K/L) scale. A measure of generalized OA was defined as the count of the number of hand and knee joints affected, as determined by the proportion of joints with a K/L grade > or =2. The OA count, treated as a continuous variable, was adjusted for age, body mass index, and a measure of physical activity for each joint area (hand or knee). Calculations were made separately for each generation and each sex, and correlations were analyzed against the standardized residual of OA. Segregation analysis was used to test whether OA aggregated in families, and if its transmission fit a Mendelian pattern. RESULTS: A total of 337 nuclear families with 2 parents and at least 1 biologic offspring were studied. In parents, the mean age was 61.2 years at the time of hand radiographs and 72.8 years at the time of knee radiographs, which were mostly obtained at a later examination. The mean age at the time of radiographs in offspring was 53.9 years. Using standardized residuals, parent-offspring and sibling-sibling correlations ranged from 0.115 to 0.306. In segregation analyses, models testing the hypotheses of no familial aggregation, no familial transmission, or a Mendelian gene alone were all rejected (P < 0.001 for each of these models). The best-fitting models were mixed models with a Mendelian mode of inheritance and a residual multifactorial component. The Mendelian recessive model provided the best fit. CONCLUSION: These analyses support a significant genetic contribution to OA, with evidence for a major recessive gene and a multifactorial component, representing either polygenic or environmental factors.

Adult↗
PubMed1994

Non-linearities in texture segregation.

The existence of complex (non-Fourier, second-order) channels is suggested by some characteristics of segregation perceived between regions distinguished by visual texture. These complex channels consist of two linear-filtering stages separated by a rectification-type non-linearity. We have investigated (i) the spatial frequency selectivity and orientation selectivity of their first-stage filters; (ii) the relationship between the preferred values of orientation and spatial frequency at the first and second filters; (iii) spatial pooling and its implications for the non-linearity at the middle of the complex channel; and (iv) the dynamics of complex and simple linear channels. An intensive non-linearity is also necessary to explain perceived region segregation. This intensive non-linearity might arise from an early local non-linearity preceding the channels (perhaps retinal light adaptation) or from normalization among the channels themselves (perhaps due to intracortical inhibition). Deciding between these two candidates has been more difficult than we had hoped. It appears that: (i) this intensive non-linearity operates for both simple and complex channels; (ii) the effects on it of changing mean luminance or spatial scale may be accounted for by a sensitivity parameter; (iii) it can be dramatically compressive even at contrasts less than 25% for high mean luminances and large scales; and (iv) at even lower contrasts there is an accelerating non-linearity that acts before the second filter of the complex channels.

Animals↗
PubMed2005

Awkward work postures: association with occupational gender segregation.

BACKGROUND: Segregation of men and women into different jobs is often cited as one of the most plausible explanations for gender differences in exposure and musculoskeletal disorders. METHODS: Direct measurements of sitting, arm, and trunk postures were taken with two different technical instruments on 156 subjects (78 matched pairs of one female and one male worker) over one full workday in diverse labor markets. RESULTS: Exposure differences between workers were strongly associated with vertical occupational segregation (measured as level of status/authority). The results showed that this association was strongest for female-dominated jobs. Workers in female-dominated jobs with a low status/authority experienced longer duration in standing posture (P = 0.001), and higher frequency of arm elevation (P = 0.028 and 0.040 for the dominant and the non-dominant arm, respectively). They also had longer duration of work with bent trunk compared to corresponding workers with high status/authority (P = 0.035). The association was less pronounced for male-dominated jobs, and no such association was found for gender-integrated jobs. CONCLUSION: The findings have implications for prevention as well as for future research.

Adolescent↗
PubMed1980

Neural tube malformations: complex segregation analysis and recurrence risk.

A sample of 223 families with at least one child with anencephaly and/or spina bifida was ascertained in Southern Poland, where the incidence of neural tube malformations is 0.92/1,000. The recurrence risk in proband's sibs was 3.4%. The calculated heritability (h2) was 76%, implying a substantial contribution of genetic factors to the cause of neural tube defects. Complex segregation analysis was applied in an attempt to discriminate between the hypothesis of a single locus and that of quasi-continuity under multifactorial inheritance. The results excluded the hypothesis of dominant inheritance with full penetrance. The hypothesis of the two-allele model (at a single locus) fit the data with the same degree of exactness; however, for all hypotheses the estimated penetrance was low, and the phenocopy frequency was high. Less accurate conformity was observed for the multifactorial hypothesis. In view of very low penetrance and high frequency of phenocopies in single locus hypotheses and the finding that empirical data gave better support to the multifactorial model, the differences in chi 2 values should not be viewed as sufficient to discriminate between single locus and multifactorial models. The recurrence risks, assessed in the complex segregation analysis, showed an increase together with the growing number (r) of affected children. For constant r the recurrence risks decreased in successive pregnancies. Although discrimination between the mendelian and multifactorial inheritance models was incomplete, the risk values obtained can be employed in genetic counseling.

Anencephaly↗
PubMed1982

Neural tube defects in France: segregation analysis.

Segregation analysis was performed on a subset of a large body of French data comprising 298 nuclear families. Two models were used in this analysis: the transmission probability model [Elston and Stewart, 1971; Elston, 1981] and the mixed model [Morton and MacLean, 1974]. Both models are consistent with familial aggregation of neural tube defects, in this sample, being due to either the segregation of a recessive major gene or a sibling environmental effect, or both factors. In each case, other environmental factors are also involved. These results were compared to the findings of other studies and discussed in respect to the diversity of the epidemiological features displayed by different populations. Some observations of vertical transmission in a British study and the proportion of affected first cousins, in both France and Great Britain, lead us to reject a possible absence of transmission. We propose a monogenic component with a large influence of environmental factors, some of which may be common to sibs, to explain the occurrence of neural tube defects in this sample.

Environment↗
PubMed1983

Pedigree discriminant analysis: a method to identify monogenic segregation.

We describe a method for obtaining a linear discriminant function to identify monogenic segregation in multivariate pedigree data. It differs from Fisher's linear discriminant function in that it does not assume that the genotype of each individual in the pedigree already known. The method consists of finding that linear function of the variables that maximizes the likelihood of a set of pedigree data, under the hypothesis of single gene segregation, subject to the constraint that the total sample variance of the function remains constant. To simplify the computation the variables are first transformed to their standardized principal components. Reanalysis of a set of pedigree data suggests that age and powers of age should be considered as extra variables from which the principal components are obtained, and virtually all of the variance should be accounted for by the principal components used to obtain the discriminant function.

Age Factors↗
PubMed1984

Segregation analysis in reciprocal translocation carriers.

Segregation analysis of the offspring of balanced translocation carriers was performed on 327 pedigrees collated from published sources and personal communications. Correction was made for bias of ascertainment. Translocations studied involved chromosome arms 1p, 4q, 6p, 6q, 7p, 8p, 10p, 10q, 11q, 14q, 16q, and 17p. Findings included similar rates of occurrence of abnormal liveborn offspring in male and female carriers except for a reduction of risk in male carriers of translocations segregating by 3:1 mode; an elevated risk of fetal loss (spontaneous abortions and stillbirths) in female carriers of 6q, 11q, and 16q translocations compared to male carriers of these translocations; a fetal loss rate exceeding general population estimates in female carriers of 6q and 10q translocations and in male carriers of 6p, 8p, 10q, and 14q translocations including a rate of nearly 50% among female 6q translocation carriers; a higher than expected number of balanced carriers among liveborn offspring; and a low risk of abnormal liveborn children among carriers ascertained by means other than through unbalanced probands. We propose that some translocation carriers may be helped by consideration of more specific empiric risk figures than have traditionally been used.

Abortion, Spontaneous↗
PubMed1985

Segregation and linkage analysis of alpha-N-acetyl-D-glucosaminidase (NAG) levels in a black family.

Alpha-N-acetyl-D-glucosaminidase (NAG) activities were evaluated on serum samples from 67 persons in a large black family. These data were analyzed in conjunction with those from 126 previously tested unrelated blacks [Vance et al, 1980]. After loge transformation, admixture analysis indicated a significantly better fit (P less than .01) of a mixture of 2 normal distributions for NAG activity versus a single normal distribution. Segregation analysis using the transmission probability model of Elston and Stewart [1971] demonstrated that a genetic model fits the data better than the random "environmental" model. Thus, the existence of a major gene is suggested in the family, although the possibility of polygenic or other familial effects cannot be ruled out. These results confirm the existence of a polymorphism for NAG reported earlier in a series of White half-sib twin families [Vance et al, 1980]. However, the estimates of the means of the three genotypes (AA, AA', A'A') appear to differ in the two racial groups. Thus, the data suggest either a racial polygenic effect and/or different alleles segregating in the two populations. In fact, thermal stability data [Vance et al, 1981a] suggest that at least two alleles are structurally distinct. Linkage analysis of the pedigree with 20 marker loci gave no clear indication of linkage. A lod score of 1.44 was found at 0 recombination with orosomucoid (ORM).

Acetylglucosaminidase↗
PubMed1985

Wolf-Hirschhorn syndrome owing to 1:3 segregation of a maternal 4;21 translocation.

We describe a child with Wolf-Hirschhorn syndrome with the karyotype 45,XY,inv(9)(p11q13)pat,-4,-21,+der(4),t(4;21)(p15.3;q11.2)mat. This is the second case known to us of Wolf-Hirschhorn syndrome caused by 1:3 segregation of a parental rearrangement. This mode of segregation can be predicted in both cases by a pachytene-diagram model. It is uncertain whether or not the proximal 21q monosomy in this case has affected the phenotype.

Abnormalities, Multiple↗