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At least 631 records · Page 35Linked to original sources
PubMed1996

Polygenic disease and retinitis pigmentosa: albinism exacerbates photoreceptor degeneration induced by the expression of a mutant opsin in transgenic mice.

Expression of a mouse opsin transgene containing three point mutations (V20G, P23H, and P27L; termed VPP) causes a progressive photoreceptor degeneration that resembles in many important respects that seen in patients with autosomal dominant retinitis pigmentosa caused by a P23H point mutation. We have attempted to determine whether the degree of degeneration induced by expression of the transgene is influenced by albinism, a genetically mediated recessive trait that results in a deficiency in melanin formation in pigmented tissues throughout the body. Litters of albino and pigmented mice (normal as well as transgenic) were reared in either darkness or cyclic light. Retinal structure and function were evaluated by light microscopy, electroretinography (ERG), and retinal densitometry. The data were consistent in demonstrating that at similar ages, the extent of photoreceptor degeneration was greater in transgenic albino animals than in their pigmented counterparts. The albino VPP mice had significantly fewer cell bodies in the outer nuclear layer of the retina, a larger reduction in ERG amplitude, and a lower rhodopsin content in the rod photoreceptors. These structural and functional differences could not be attributed to the greater level of retinal illumination experienced by the albino retina under normal ambient conditions, because they persisted when pigmented and albino mice were reared in darkness from birth. Although the explanation remains unclear, our findings indicate that the rate of photoreceptor degeneration in VPP mice is adversely affected by the existence of the albino phenotype, a factor that may have implications for the counseling of human patients with retinitis pigmentosa and a familial history of other genetic disorders.

Albinism↗
PubMedDate not supplied

Francis Galton: his approach to polygenic disease.

Gregor Mendel is considered to be the founding father of modern genetics, and his laws of inheritance have led to the successful analysis of rare monogenic diseases such as cystic fibrosis, Duchenne muscular dystrophy, familial hypercholesterolaemia, and many others. Francis Galton chose multifactorial inheritance as his starting point, and his methods of analysis have withstood the test of time. He used detailed family records to study the inherited tendency of complex traits between parents and offspring, and between identical and non-identical twins to refine the analysis, and devised new statistics to attempt to measure the extent of inheritance. For all these reasons, he can be considered the founding father of quantitative genetics.

England↗
PubMed1998

Polygenic mutation in Drosophila melanogaster: genotype x environment interaction for spontaneous mutations affecting bristle number.

A highly inbred line of Drosophila melanogaster was subdivided into replicate sublines that were subsequently maintained independently with 10 pairs of parents per generation. The parents were randomly sampled for 19 'unselected' sublines and artificially selected for high or low abdominal or sternopleural bristle number for 12 'selected' sublines (with 3 replicate selection lines/trait/direction of selection). Divergence in mean bristle number among the unselected sublines, and response of the selected sublines to selection, are attributable to the accumulation of new mutations affecting bristle number. The input of mutational variance per generation, VM, can be estimated from the magnitude of response or divergence, assuming neutrality of mutations affecting the bristle traits. We reared unselected lines at generations 222 and 224, and selected lines at generations 182-184 of mutation accumulation at each of three temperatures (18 degrees C, 25 degrees C, 28 degrees C), and estimated the mutational variance common to all environments and the mutational variance from genotype x environment interaction. For sternopleural bristle number, the mutational interaction variance was 26% of the mutational variance common to all temperatures, and the interaction variance was due to temperature x line interaction. For abdominal bristle number, the mutational interaction variance was 142% of the mutational variance common to all temperatures, and the interaction variance was due to interactions of temperature x line, sex x line, and temperature x sex x line. It is possible that segregating variation for bristle number is maintained partly by genotype x environment interaction, but information on the fitness profiles of mutations affecting bristle number in each environment will be necessary to evaluate this hypothesis quantitatively.

Abdomen↗
PubMed1995

[Comparative analysis of patterns of localization of mobile genetic elements in genetic selection experiments on Drosophila melanogaster].

A comparative selection-genetic analysis of three heterogeneous lines of Drosophila melanogaster with an interrupted longitudinal wing vein was performed. In the control line, riC, and two selection lines, riSP and riSN, overall patterns of localization of six families mobile genetic elements (MGE) (MGE) (MDG1, MDG2, MDG3, MDG4, copia, and 297) were compared. In all, the lines contained 220 sites (copies) in 153 segments of the Bridges' map. According to response to selection, six classes of sites were identified: strong positive (P), weak positive (p), neutral (n), weak negative (n), strong negative (N), and abnormal (A). More than 50% of the sites (P+N+p+n) were shown to respond to selection; the contrasting classes (P and N and p and n) counterbalanced each other. These sites are assumed to mark actual parts of the genome, where polygenes are located. In other words, more than 50% of the total number of the genome sites act as polygenes controlling this quantitative character and respond to selection. Pleiotropy of polygenes in such a system must be very high. 22.2% of sites are neutral (class 0); apparently, they do not mark polygenes. The remaining 21.8% of sites (class A) show an anomalous response to selection. They are assumed to mark the polygenes of another genetic system, which participated in the maintenance of homeostasis in the original line riC. On the basis of this evidence, the concept of oligogenes and polygenes is developed. Oligogenes and polygenes are genes that occupy respectively limiting and nonlimiting positions in systems of expression. Adaptive properties of oligogenes are evaluated first and evolve rapidly. Adaptive properties of polygenes are evaluated only with regard to their total set and are limited by oligogenes. Variation of polygenic systems is generated by polygenic combination and spontaneous transpositions and excisions of MGE.

Animals↗
PubMed1984

Segregation analysis of schizophrenia and related disorders.

Segregation analysis was applied to 79 nuclear families ascertained through chronic schizophrenic probands. Analysis was performed on the diagnosis of schizophrenia alone and on schizophrenia and schizotypal personality disorder (milder phenotype) combined. The models used were the transmission probability model and the mixed model. Because the disease is associated with reduced fertility, all likelihoods were calculated conditional on parental phenotypes. However, compatibility of the mating-type distribution predicted by each model with the observed was also examined. In all analyses, results suggested consistency with genetic transmission. In the analysis of schizophrenia alone, discrimination among models was difficult. In the analysis including the milder phenotypes, all single-locus models without polygenic background were excluded, while pure polygenic inheritance could not be eliminated. The polygenic model also gave good agreement with supplementary observations (lifetime disease incidences, mating-type distribution, and monozygotic twin concordance). The estimated components of variance for the polygenic model were: polygenes (H) 81.9%; common sib environment (B) 6.9%; random environment (R) 11.2%. Although the polygenic model was parsimonious, segregation analysis and the supplementary observations were also consistent with a mixed model, with a single major locus making a large contribution to genetic liability. Such a locus is more likely to be recessive than dominant, with a high gene frequency and low penetrance. The most likely recessive mixed model gave the following partition of liability variance: major locus, 62.9%; polygenes, 19.5%; common sib environment, 6.6%; and random environment, 11.0%.

Adolescent↗
PubMed2001

Using the mixed model for interval mapping of quantitative trait loci in outbred line crosses.

Interval mapping by simple regression is a powerful method for the detection of quantitative trait loci (QTLs) in line crosses such as F2 populations. Due to the ease of computation of the regression approach, relatively complex models with multiple fixed effects, interactions between QTLs or between QTLs and fixed effects can easily be accommodated. However, polygenic effects, which are not targeted in QTL analysis, cannot be treated as random effects in a least squares analysis. In a cross between true inbred lines this is of no consequence, as the polygenic effect contributes just to the residual variance. In a cross between outbred lines, however, if a trait has high polygenic heritability, the additive polygenic effect has a large influence on variation in the population. Here we extend the fixed model for the regression interval mapping method to a mixed model using an animal model. This makes it possible to use not only the observations from progeny (e.g. F2), but also those from the parents (F1) to evaluate QTLs and polygenic effects. We show how the animal model using parental observations can be applied to an outbred cross and so increase the power and accuracy of QTL analysis. Three estimation methods, i.e. regression and an animal model either with or without parental observations, are applied to simulated data. The animal model using parental observations is shown to have advantages in estimating QTL position and additive genotypic value, especially when the polygenic heritability is large and the number of progeny per parent is small.

Animals↗
PubMed2004

A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating.

Diallel mating is a frequently used design for estimating the additive and dominance genetic (polygenic) effects involved in quantitative traits observed in the half- and full-sib progenies generated in plant breeding programmes. Gibbs sampling has been used for making statistical inferences for a mixed-inheritance model (MIM) that includes both major genes and polygenes. However, using this approach it has not been possible to incorporate the genetic properties of major genes with the additive and dominance polygenic effects in a diallel mating population. A parent block Gibbs sampling method was developed in this study to make statistical inferences about the major gene and polygenic effects on quantitative traits for progenies derived from a half-diallel mating design. Using simulated data sets with different major and polygenic effects, the proposed method accurately estimated the major and polygenic effects of quantitative traits, and possible genotypes of parents and progenies. The impact of specifying different prior distributions was examined and was found to have little effect on inference on the posterior distribution. This approach was applied to an experimental data set of Loblolly pine (Pinus taeda L.) derived from a 6-parent half-diallel mating. The result indicated that there might be a recessive major gene affecting height growth in this diallel population.

Chromosome Mapping↗
PubMed1994

The use of mixture models to detect effects of major genes on quantitative characters in a plant breeding experiment.

An analysis based on Elston's model of mixed major locus and polygenic inheritance is extended to include populations of progeny testing such as F3, B1s and B2s families derived from F2 and backcrosses in a cross between two inbred lines. Genetic hypotheses that can be validly tested by the likelihood ratio method in the analysis of a breeding experiment include homogeneity of variances due to environment and/or polygenes with transformable scale effect by Box-Cox power function, random and independent segregation of major genes, invariance of the effects of major genes with population types and additive and dominant models for polygenes. Testing hypotheses in the order suggested here can lead to a gradual simplification of the models and increases the feasibility of the subsequent analysis, but caution must be paid to the possible bias in parameter estimation and hypotheses tests. The procedure is applied to a set of data on plant height of rice with the effects of dwarf genes in crosses among three varieties. Two recessive dwarf genes are shown to be nonallelic and unlinked. One dwarf gene is shown to reduce plant height about 36-56 cm, and another 52-61 cm. The effect of polygenes, estimated as the standard deviation among possible inbred lines derived from these crosses, is about 11.7 cm. Interactions between the dwarf genes and the polygenic background are found, especially for one of the two genes. Both the polygenic effects and the interactions are much smaller than the effects of the major dwarf genes.

Crosses, Genetic↗
PubMed2026

Effects of quetiapine on cognitive functioning in schizophrenia: evidence for the remyelination hypothesis?

Postmortem findings, neuroimaging data, and in-vitro models suggest a decrease in number and density of oligodendrocytes is driving cognitive deficits in schizophrenia (SCZ). Second-generation antipsychotics are discussed to improve oligodendrocyte dysfunction with most conclusive evidence available for quetiapine (QET). We postulate that sustained QET treatment leads to cognitive improvement in SCZ, particularly, in tests with high demands for working memory function. We further hypothesize that these effects are moderated by polygenic factors associated with hippocampus-related brain volumes, general white matter integrity, and/or oligodendroglia-related SCZ risk. Using data of the prospective PsyCourse study, we identified 166 patients with SCZ spectrum disorder receiving QET at one or two consecutive visits plus 166 matched patients without QET. Polygenic scores were calculated for subcortical brain volumes, measures of white matter integrity, and for cell type-specific genetic SCZ risks. QET treatment was consistently associated with improved cognitive function independent of time, specifically, in tests with high, but not with low to medium working memory load. Polygenic analyses did not reveal significant moderation effects. In contrary, low genetic SCZ risk specific for genes related to human oligodendrocyte function was associated with higher cognitive performance independent from QET. While we observed improved cognitive performance under QET in high working memory tests, we did not find evidence that polygenic factors associated with hippocampus-related brain volumes, white matter integrity, or oligodendroglia-related SCZ risk moderate this association. Thus, our tentative findings do not provide evidence for the hypothesis that polygenic estimates of hippocampal remyelination capacities influence the association between QET and cognitive performance in SCZ.

Humans↗
PubMed1996

Segregation analysis of two lung function indices in a random sample of young families: the Humboldt Family Study.

The Humboldt Family Study was conducted in the town of Humboldt, Saskatchewan, in 1993. Familial correlations and segregation analyses of lung function were carried out in 799 individuals in 214 nuclear families that included 214 fathers, 214 mothers, and 371 children. Forced expiratory volume in 1 second (FEV1) and maximal mid-expiratory flow rate (MMFR) were first regressed on age, height, weight, and their quadratic and cubic terms as well as on smoking status in four groups separately (mothers, fathers, daughters, and sons), with terms significant at the 0.10 level being retained. Residual phenotypes were standardized within the four groups. Class D regressive models were used to perform familial correlations and segregation analyses. For both FEV1 and MMFR, father-mother correlations were not significantly different from zero, and mother-offspring, father-offspring, and sibling-sibling correlations showed no statistically significant difference from each other. Based on the "polygenic" models, the estimated intraclass correlation is 0.132 (+/- 0.035) for FEV1 and 0.171 (+/- 0.039) for MMFR, and the narrow-sense heritability is 0.264 for FEV1 and 0.342 for MMFR. Segregation analysis shows that the "mixed" model with both single locus and polygenic components had a better fit for FEV1 than single-locus or polygenic only models. However, the model which included a nontransmitted environmental factor [tau(AA) = tau(AB) = tau(BB) = qA] and polygenic loci had a better fit than the Mendelian model [tau(AA) = 1, tau(AB) = 1/2, tau(BB) = 0] [Akaike's information criterion (AIC) = 2219.47 vs. AIC = 2222.14]. For MMFR, the Mendelian "mixed" model gave a nonsignificant improvement in loge likelihood compared to the simple polygenic model. Comparison of the single-locus model and Mendelian "mixed" model shows no difference in fitting the data. This study suggests that FEV1 and MMFR are controlled by many loci with no major effects and/or common environmental factors.

Adolescent↗
PubMed2001

Evidence for further breast cancer susceptibility genes in addition to BRCA1 and BRCA2 in a population-based study.

We used data from a population based series of breast cancer patients to investigate the genetic models that can best explain familial breast cancer not due to the BRCA1 and BRCA2 genes. The data set consisted of 1,484 women diagnosed with breast cancer under age 55 registered in the East Anglia Cancer registry between 1991-1996. Blood samples taken from the patients were analysed for mutations in BRCA1 and BRCA2. The genetic models were constructed using information on breast and ovarian cancer history in first-degree relatives and on the mutation status of the index patients. We estimated the simultaneous effects of BRCA1, BRCA2, a third hypothetical gene BRCA3, and a polygenic effect. The models were assessed by likelihood comparisons and by comparison of the observed numbers of mutations and affected relatives with the predicted numbers. BRCA1 and BRCA2 could not explain all the familial clustering of breast cancer. The best-fitting single gene model for BRCA3 was a recessive model with a disease allele frequency 24% and penetrance 42% by age 70. However, a polygenic model gave a similarly good fit. The estimated population frequencies for BRCA1 and BRCA2 mutations were similar under both recessive and polygenic models, 0.024 and 0.041%, respectively. A dominant model for BRCA3 gave a somewhat worse fit, although the difference was not significant. The mixed recessive model was identical to the recessive model and the mixed dominant very similar to the polygenic model. The BRCA3 genetic models were robust to the BRCA1 and BRCA2 penetrance assumptions. The overall fit of all models was improved when the known effects of parity on breast and ovarian cancer risks were included in the model-in this case a polygenic model fits best. These findings suggest that a number of common, low-penetrance genes with additive effects may account for the residual non-BRCA1/2 familial aggregation of breast cancer, but Mendelian inheritance of an autosomal recessive allele cannot be ruled out.

Adult↗
PubMed1993

A bivariate genetic analysis of HDL- and LDL-cholesterol incorporating measured covariates: a Gibbs sampling application.

We analyzed HDL- and LDL-cholesterol levels as a bivariate phenotype in 27 families as a function of major genes, polygenes, and measured covariates using a Monte Carlo sampling technique called Gibbs sampling. Major genes and polygenes exhibited strong effects, when considered separately. While a major gene versus polygene model could not be clearly differentiated for HDL-C, polygenes appeared to play a stronger role than a major gene for LDL-C. There was no evidence of linkage between the two major genes for HDL- and LDL-C, and the correlation in polygenes was negative. The analysis illustrate the potential applicability of Gibbs sampling to such complex problems as the multivariate analysis of continuous phenotypes.

Cholesterol, HDL↗
PubMed1994

Segregation analysis of NIDDM in Caucasian families.

Non-insulin-dependent diabetes mellitus (NIDDM) has a substantial genetic component, but the mode of inheritance and the molecular basis are unknown. We have undertaken segregation analysis of NIDDM after studying 247 subjects in 59 Caucasian nuclear pedigrees ascertained without regard to family history of the disorder. The analyses were performed using POINTER and COMDS, which are computer programs which apply statistical models to the data. POINTER analysis was performed defining the phenotype as a presence or absence of hyperglycaemia. Among single locus hypothesis, the analyses rejected a recessive model and favoured a dominant model, but could not statistically show that this fitted better than a mixed model (a single locus against a polygenic background) or a polygenic model. COMDS analysis assumed a continuum of hyperglycaemia from normality to NIDDM, classified family members into a series of diathesis classes with increasing plasma glucose levels and compared the distribution with that found by screening the normal population. This analysis improved the likelihood of a dominant single locus model and suggested a gene frequency of 7.4%. It raised the possibility of a second locus, but cannot identify or exclude a polygenic model. In conclusion, two types of segregation analyses rejected a recessive model and favoured a dominant model of inheritance, although they could not statistically show that this fitted better than the polygenic model. The results raised the possibility of a common dominant gene with incomplete penetrance, but genetic analysis of NIDDM needs to take into account the likelihood of polygenic inheritance with genetic heterogeneity.

Adult↗
PubMed1999

Genetic and environmental sources of QT interval variability in Israeli families: the kibbutz settlements family study.

QT interval prolongation not attributed to long QT syndromes is reported to be associated with increased risk of sudden and nonsudden cardiac death. Genetic and environmental determinants of QTc interval were investigated in an unselected free living population sample of 80 kindreds residing in kibbutz settlements in Israel. The sample included 214 males and 227 females aged 15-97 years. There was a significant familial aggregation of adjusted QT interval levels, as indicated by inter- and intraclass correlation coefficients significantly different from zero. Complex segregation analysis applied to the sex- and age-adjusted data was not conclusive and heterogeneous etiologies for individual differences were suggested. There was evidence for a single recessive locus (q = 0.173) with a major effect in addition to polygenic effects (h2 = 0.41) that explained the mixture of distributions. In parallel, a nontransmitted environmental major factor in addition to polygenic effects that explained the adjusted variation in QTc could not be rejected. Similar results were obtained upon the adjustment for sex, age, and environmental covariables. The major factor, either genetic or environmental, and polygenic-loci accounted for about 20 and 33% of the adjusted QTc variation, respectively. Furthermore, sex, age, measured environmental covariables, the unmeasured major factor, and the unmeasured polygenes could account for 63% of the variation of QTc in these families. Our data provide evidence for a major factor, either genetic or environmental, in addition to a polygenic background, influencing QT interval levels in a population-based sample of pedigrees.

Adolescent↗
PubMedDate not supplied

Research actuality in the genetics of stroke.

Stroke can be viewed as a paradigm for late-onset, complex polygenic diseases. There are two main clinical phenotypes for stroke: ischemic stroke, responsible for 80-90% of stroke events, and hemorrhagic stroke, responsible for the remaining 10-20%. Stroke may either be the outcome of a number of monogenic disorders or, more commonly, a polygenic multifactorial disease. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy (CADASIL), due to mutations in the Notch 3 gene, is the best example of monogenic pathology leading to stroke. The identification of individual causative mutations for polygenic stroke is problematic due to the complexity of such condition. The two main methods of genetic investigation are linkage analyses and association studies, each with advantages and limitations. Associations with polymorphisms in a variety of candidate genes have been investigated, including hemostatic genes, genes controlling homocystein metabolism, the angiotensin-converting enzyme gene, and the endothelial nitric oxide synthase gene. The combination of linkage and association approaches has led to the identification of the first putative gene associated with common polygenic stroke, PDE4D, mapped to chromosome 5q21. The biological revolution of the past years, spurred by the Human Genome Project, promises the advent of novel technologies supported by bioinformatics, which will transform the study of polygenic disorders such as stroke. Understanding the causes of stroke and its effect will allow definition of high-risk populations and make possible specific programs of primary and secondary prevention as well as new therapeutic approaches where prevention has failed.

Genetic Linkage↗