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[Pedigree analysis and sequence analysis of mtDNA 12srRNA, tRNA(Leu(UUR)), tRNA(Ser(UCN)) gene in nonsyndromic inherited deafness pedigrees].

OBJECTIVE: To investigate the proportion of mtDNA mutation in the non-syndromic genetic hearing loss (NSHL) pedigrees and the genetics statistical formulae for maternal inheritance, to study the relationship of mtDNA mutation and inherited deafness, to identify the incidence of the mtDNA mutation in such pedigrees and sporadic patients with Sensorineural hearing loss (SNHL). METHOD: Twenty-nine pedigrees with NSHL were collected. Pedigree Investigation was taken. Modal Genetics Analysis. Segregation Analysis were taken. Blood samples were obtained from these pedigrees. DNA was extracted from the isolated leukocytes. The mtDNA 1555G, 7445G, 3243G mutation were examined by multiplex PCR. The sequence of 12SrRNA, tRNA(Leu(UUR)) and tRNA(Ser(UCN)) gene were examined. RESULT: There are 12 pedigrees with mtDNA mutation (i.e. 10 with 1555G and 2 with 7445G) examing by multiplex PCR. Modal Genetics Analysis showed that in irregular dominate genetic pedigrees, the incidence of mtDNA mutation is higher than that of regular dominate pedigrees. Segregation Analysis with Screening for mtDNA mutation showed that maternal inherited pedigrees did not have the segregate ratio that the autosomal inheritance had. Sequence analysis confirmed that the 12 pedigrees carried mtDNA mutation, among them 10 pedigrees with 1555G mutation, 2 pedigrees with 7445G mutation, no pedigrees with 3243G. CONCLUSION: Maternal inherited pedigrees do not have the segregate ratio of the autosomal inheritance, mtDNA mutation have high incidence in NSHL, mostly are 1555G and 7445G mutation. Screening for mtDNA 7445G mutation combined with 1555G examination is of value to clinical use. Multiplex PCR can diagnose mtDNA multi-mutation quickly and facilely.

DNA, Mitochondrial↗

[Analysis on genetic pattern of familial type II diabetes mellitus].

OBJECTIVE: To analyse hereditary familial type II diabetes mellitus (type II DM), including its pattern and the transmitted expression on different sex of type II DM. METHODS: Familial analysis, segregation analysis, tests were used for multifactorial inheritance and threshold analysis. One hundred seventy-seven pedigrees of familial type II DM were studied. RESULTS: The heritability of familial type II DM was 143.06% +/- 3.3%. One dominant major gene might influence the genesis of type II DM. There were 214 nuclear families in 3 different mating types: U x U, U x A and A x A. The segregation ratios of U x U, U x A and A x A were 0.4703, 0.4838 and 0.6712 respectively. The results of tests for multifactorial inheritance and segregation analysis indicated that the genetic pattern of U x A and A x A nuclear families was not multifactorial inheritant and autosomal recessive (AR) but autosomal dominant (AD) inheritance. The genetic pattern of U x U nuclear families was neither AD nor AR inheritance. CONCLUSION: There was genetic heterogeneity in type II DM discovered with subgroupes of autosomal dominant inheritance in type II DM.

Adult↗

[Analysis of complex segregation in a large family with hereditary cerebrovascular disease in Antioquia, Colombia].

INTRODUCTION: Among different kinds of cerebrovascular diseases, few of them are caused by genetic disturbances, such as CADASIL (caused by Notch3 mutations), CARASIL, mitochondrial encephalopathy, MELAS and dementia typed Binswanger. However, to describe these type of cerebrovascular diseases related with genetic mutations could permit to determinate the causes of both hereditary and sporadic cerebrovascular diseases and then lead solutions. OBJECTIVE: To describe the genetic, environmental and cohort factors that determinate the presence of many affected people by a several cerebrovascular diseases in the pedigree of a large family from Antioquia (Colombia). PATIENTS AND METHODS: We performed one pedigree (268 individuals), through singular recruit and then complex segregation analysis with POINTER program. RESULTS: The model that more close to data is autosomal dominant mayor locus without influence of environmental factors. Frequency of allele of susceptibility to develop stroke or subcortical vascular dementia was 0.0006. Mayor gene is over epistatic effects or interactions with other gene. CONCLUSIONS: Described an autosomal dominant hereditary model through complex segregation analysis in a pedigree of patients with hereditary cerebral vascular diseases characterized by recurrent strokes, early onset subcortical dementia, hearing loss, antecedent of migraine and MRI signal abnormalities, subcortical infarcts and leukoencephalopathy. In this family the parameter calculated, autosomal dominant model, and clinical feature strongly support the diagnostic of CADASIL, linkage analysis and sequentiation will be performed to determinate if mutant gene is Notch3.

Adolescent↗

Combined analysis of genetic segregation and linkage under an oligogenic model.

For traits with incomplete penetrance, simultaneous segregation analysis and linkage analysis may offer increased information. Since the numerical properties of the mixed model are a drawback in this more complicated analysis, a second locus is substituted for the polygenic component yielding a simpler and more tractable oligogenic model. While less realistic, the simpler model is not easily discriminated from the mixed model, particularly when used on affection data rather than quantitative traits. Calculations for combined linkage and segregation analysis are described for nuclear families with pointers to account for sampling scheme.

Computers↗

Molecular analysis of alleles segregation at RFLPs within RB-1 gene in four families with hereditary retinoblastoma.

Four families with suspected hereditary retinoblastoma in proband and one other family member were examined by genetic segregation analysis of the RB-1 gene loci with specific RFLPs of chromosome 13. Two families, TA-6 and partially CK-46, were informative using this method. In TA-6 family healthy sister (TA-6/10) of the proband was shown not to be a carrier of the mutant RB-1 gene. These results show that the segregation analysis of RB-1 gene loci with specific RFLPs, used as the DNA markers, could be helpful in the genetic diagnosis and counselling in families with hereditary retinoblastoma.

Alleles↗

French Machado-Joseph disease patients do not exhibit gametic segregation distortion: a sperm typing analysis.

Segregation distortion has been reported to occur in a number of the trinucleotide repeat disorders. On the basis of a sperm typing study performed in patients of Japanese descent with Machado-Joseph disease (MJD), it was reported that disease alleles are preferentially transmitted during meiosis. We performed a sperm typing study of five MJD patients of French descent and analysis of the pooled data shows a ratio of mutant to normal alleles of 379:436 (46.5:53.5%), which does not support meiotic segregation distortion. To confirm these results, sperm typing analysis was also performed using a polymorphic marker, D14S1050, closely linked to the MJD1 gene. Among 910 sperm analyzed, the allele linked to the disease chromosome was detected in 50.3% of the samples and the allele linked to the normal chromosome was found in 49.6% of the sperm. The difference in frequency of these two alleles is not significant ( P = 0.8423). Likelihood-based analysis of segregation distortion in the single sperm data using the SPERMSEG program also showed no support for segregation distortion at the gamete level in this patient population. The previous report on the Japanese patients also suggested that disease allele stability may be influenced by a trans effect of an intragenic polymorphism (987 G/C) in the wild-type allele. All of the French patients were heterozygous for this polymorphism. However, analysis of the variance in repeat number in sperm from the French MJD patients overlapped significantly with the variance in repeat number observed in the C/C homozygous Japanese patients.

Alleles↗

DNA diagnosis of X-linked adrenoleukodystrophy.

The X-linked adrenoleukodystrophy (ALD) gene was identified recently and is predicted to encode a 745-amino-acid peroxisomal membrane protein. Strategies have been designed for the search for mutations in the ALD gene in patients. Several mutations have now been found and it seems that many different mutations are responsible for ALD. There is no straightforward correlation between genotype and phenotype since the same mutation can cause different ALD phenotypes in the same family. However, once a mutation has been found in a family, it can be traced in all at-risk individuals of that family, both post- and prenatally, without the need for very long-chain fatty acid (VLCFA) analysis. Segregation analysis with extragenic and intragenic polymorphisms may remain useful in families where mutation analysis is not possible for practical reasons; VLCFA analysis and measurement of the peroxisomal beta-oxidation with C26:0 fatty acid as a substrate will remain the alternative. We also briefly discuss the possibilities of DNA diagnosis for other peroxisomal disorders.

Adrenoleukodystrophy↗

Brassica napus DNA markers linked to white rust resistance in Brassica juncea.

White rust, caused by Albugo candida, is an economically important disease of Brassica juncea mustard. The most efficient and cost effective way of protecting mustard plants from white rust is through genetic resistance. The development of canola quality B. juncea through interspecific crosses of B. juncea with Brassica napus has lead to the introgression of white rust resistance from B. napus into B. juncea. The objective of this study was to identify DNA markers for white rust resistance, derived from the introgressed B. napus chromosome segment, in a BC(3)F(2) population of condiment B. juncea mustard. This segregating population was phenotyped for white rust reaction and used to screen for AFLP markers associated with white rust resistance using bulked segregant analysis. Segregation data indicated that a single dominant gene controlled resistance to white rust. Eight AFLP markers linked to white rust resistance were identified, all derived from B. napus. The B. napus chromosome segment, carrying the white rust resistance gene ( Ac2V(1)), appeared to have recombined with the B. juncea DNA since recombinant individuals were identified. Comparative mapping of the eight B. napus-derived AFLP markers in a typical B. napus mapping population was inconclusive; therefore, the size of the introgressed B. napus fragment could not be determined.

Journal Article↗

Applications of the estimating equations theory to genetic epidemiology: a review.

Unlike monogenic diseases for which considerable progress has been made in past years, the identification of susceptibility genes involved in multifactorial diseases still poses numerous challenges, including the development of new statistical methodologies. Recently, several authors have advocated the use of the estimating equations (EE) approach as an alternative to standard maximum likelihood methods for analysing correlated data. Since most genetic studies rely on family data, the EE found a natural field of application in genetic epidemiology. The objective of this review is to give a brief description of the EE principles, and to outline its applications in the main areas of genetic epidemiology, including familial aggregation analysis, segregation analysis, linkage analysis and association studies.

Epidemiologic Methods↗

The Cincinnati Lipid Research Clinic Family Study: analysis of commingling and family resemblance for fasting blood glucose.

Our specific aim in this study was to investigate commingling and family resemblance for fasting blood glucose in 160 randomly selected white families from the Princeton School District Lipid Research Clinics Family Study. Adjustment of fasting blood glucose for the influence of age, sex, and the use of oral contraceptives and construction of indices were performed simultaneously using multiple regression methods. Path analysis was carried out, constructing an environmental index based on special diet usage, hematocrit, and obesity, which was also adjusted for the influences of age and sex. Commingling analysis and segregation analysis using the mixed model were also performed. Nearly 16% of the variance of fasting blood glucose was accounted for by age and sex. Obesity itself, which constituted the index, explained an additional 4% of the variance of fasting blood glucose. Significant genetic heritability for fasting blood glucose was documented by both path analysis and segregation analysis. In aggregate, we conclude that though there was a major familial vector accounting for within-family aggregation of blood glucose, it was probably generated by a multifactorial component as compared to a major locus. Under the most parsimonious model, path analysis estimated the genetic and cultural heritabilities as h2 = .39 +/- .08 and c2 = .06 +/- .03., respectively.

Age Factors↗

Genetic Analysis Workshop II: segregation and linkage analysis.

Familial segregation and linkage analyses were performed on two sets of the Genetic Analyses Workshop II data. The salient features of the mode of inheritance of the disease trait and its linkage/association with polymorphic markers and also marker-marker linkages were delineated using statistical-genetic techniques.

Adult↗

[Genetic analysis of familial hypertension].

In order to study the genetic mode of familial hepertension, 63 pedigreses, including 140 nuclear pedigrees, of familial hypertension were investigated by means of pedigreed analysis and segregative analysis. Pedigreed analysis revealed that there is an evident phenomenon of vertical transmission in familial hypertension. It is hypothesed that there is a segregative ratio of dominant inheritance in A x U and A x A marital types, which is supported by segregative analysis. The data obtained suggest that the familial hypertension is an autosomal dominant hereditary disease. It is suggested that the genetic modes of familial hypertension could be different according to the different marital types of the patients. This finding suggests that the disease has a genetic heterogeneity. The research results will provide the reference evidence for the prevention, treatment and diagnosis of familial hypertension.

Adolescent↗

The marker (X) syndrome: a cytogenetic and genetic analysis.

The results of a cytogenetic and segregation analysis of 110 pedigrees of the mar (X) syndrome are reported. The cytogenetic study indicated an inverse relationship between IQ and the mar(X) frequency in females but not in males. A small but significant effect of age on mar(X) frequency was observed in both males and females, but in females it was restricted to those of normal intelligence, retarded females showing no significant effect. Classical segregation analysis was performed using the program SEGRAN, analysing sexes separately. A 20% deficit of affected males was observed, the most plausible explanation for the majority of these cases being incomplete penetrance. Since this was an unexpected result, the data were scrutinized for possible biases; however, correction of these had little effect on the estimate. The penetrance of mental impairment in carrier females was estimated to be 30% and of mental impairment and/or mar(X) expression to be 56%. Thus 44% of carriers cannot be detected with our definition of affection. No evidence for sporadic cases among affected males was found. Complex segregation analysis was performed using the sex-linked version of POINTER, analysing sexes together. This was done in order to test the results from classical segregation analysis, to test for family resemblance and to estimate mutation rates. It was confirmed that there was a 20% deficit of affected males, that penetrance of mental impairment in females was approximately 30% and that there was no evidence for sporadic males. Thus all males with the gene appear to have received it from their carrier mothers and all mutations must occur in sperm. The mutation rate in sperm was estimated to be as high as 7.2 X 10(-4), implying that over one-half of random carrier females are fresh mutants. Our results have important implications for genetic counseling as they imply that all mothers of isolated affected males are carriers, that normal brothers of affected males have a 17% chance of carrying the gene and transmitting it to all their daughters, and that normal sisters of affected males have, at most, a 30% chance of being carriers. Since there are biases in the data due to the testing of particular individuals, these probabilities must be considered approximations until they are independently confirmed.

Adolescent↗

Pedigree-based quantitative genetic analysis of interindividual variation in circulating levels of IGFBP-3.

Circulating levels of insulin-like growth factor binding protein-3 (IGFBP-3) vary greatly between normal individuals, but until now little attention has been given to the study of the genetic factors involved in IGFBP-3 variability in healthy populations. The present study investigated the extent and pattern of the possible genetic influences on plasma levels of IGFBP-3 in 91 nuclear and more complex families, totaling 396 individuals (201 males and 195 females) of Caucasian ethnic origin. The variance decomposition analysis, was performed using the FISHER statistical package. In the second stage of the analysis, we used complex segregation analysis as implemented in the statistical package MAN. Significant negative correlation was revealed between age and plasma levels of IGFBP-3 in both sexes ( r=-0.49; r=-0.23; P<0.001). Multivariate analysis identified age, body weight, and height as significant covariates in men, but for women only age had a considerable effect. It has been demonstrated that about 57.7% of IGBP-3 variation adjusted for significant confounding factors was attributable to genetic factors. The results of bivariate variance decomposition analysis showed no significant genetic and phenotypic correlation between the mineral density of hand bones and IGFBP-3. Segregation analysis revealed the existence of a potential major gene effect that was able to explain some 27.5% of IGFBP-3 variation. Multifactorial effects, likely, unknown minor genes, contributed an additional 30% to IGFBP-3 variation. The segregation analysis also provided evidence of significant genotype X sex interaction in the determination of plasma levels of IGFBP-3.

Adolescent↗

Major gene effect on body mass index: the role of energy intake and energy expenditure.

The evidence for a major gene for body mass index (BMI) was investigated using complex segregation analysis (POINTER) in 1691 individuals belonging to 432 nuclear families residing in the Chittoor district of Andhra Pradesh, India. Since the BMI is significantly correlated with energy intake (EI) and energy expenditure of activity (EEA), the effects of each were removed from the BMI using regression analysis, and the segregation analysis was repeated on the energy-adjusted BMI. For BMI, a putative major locus could not be ruled out, and the effect (q = 0.25, accounting for 37% of the phenotypic variance) was remarkably similar to that reported in Western populations. After adjusting the BMI for EI and EEA, however, no evidence in support of a major gene could be observed, suggesting either that EI and EEA mediate the expression of the major gene effect on BMI, or that the same major gene may influence both traits. The pleiotropy hypothesis was further explored using a simple bivariate familial correlation model, in which the significance of familial cross-trait correlations (e.g., BMI in parents with BMI as predicted from the energy variables in the offspring) was examined. The cross-trait resemblance between the two measures was significant for all biological relatives, verifying the presence of shared heritable determinants (i.e., the same gene[s] and/or familial environments) accounting for 58% of the covariation. The significant cross-trait spouse correlations further suggested that at least part of the cross-trait resemblance may be due to shared environmental factors. Therefore, we conclude that there is strong evidence for shared genetic effects between BMI and the energy variables.

Adolescent↗

Genetic epidemiology study of pathological myopia.

OBJECTIVE: To explore the genetic epidemiology of pathological myopia (PM), including hereditary and genetic model. METHODS: The simple segregation analysis was done by SEGRANB. The values of segregation ratio p and the proportion of sporadic cases x were estimated. The complex segregation analysis was performed using SAGE-REGD. The genetic model and gene frequency were estimated. The 62 pedigrees with PM were random samples from hospital patients. RESULTS: By simple segregation analysis, the genetic pattern of N*N is autosomal recessive and the frequency of sporadic cases is approximately 65.72%. The genetic pattern of A*N may be autosomal recessive (but autosomal dominant cannot be excluded), the frequency of sporadic cases is approximately 35.14%. By complex segregation analysis, the genetic model of PM is autosomal recessive and the gene frequency is 0.147385. CONCLUSION: PM is compatible with autosomal recessive inheritance (autosomal dominant not excluded ), the sporadic cases are existent and the gene frequency is 0.147385.

Female↗

Genetic Analysis Workshop II: segregation and three-locus linkage analysis.

Data stimulated for Genetic Analysis Workshop II were analyzed using PAP. Segregation analysis showed a simple recessive mode of inheritance for data set 2 while no conclusions could be made about the mode of inheritance for data set 3. Pairwise linkage analysis suggested three linkage groups, but three-locus analysis did not provide strong evidence for the gene order within these groups. For three of the four three-locus comparisons performed, three-locus analysis suggested the simulated order. In only one case did the pairwise analysis suggest the simulated order, indicating the necessity for multi-locus analysis for gene order.

Chromosome Mapping↗

Information gain for genetic parameter estimation with incorporation of marker data.

Genetic marker data has been increasingly incorporated into segregation analysis, as combined segregation and linkage analysis has been performed more frequently. In this article, we study the extent of information gains with incorporation of marker data in segregation analysis, a topic that has not been investigated rigorously. Specifically, the current study is to investigate the influence of marker data on genetic model parameter estimation. A variance matrix criterion (as the inverse of the Fisher information matrix) and a relative entropy criterion (a measure of flatness of expected log-likelihood surface) are used to quantify the information gains. Our results indicate that substantial information gain can be achieved with the incorporation of marker data. The amount of variance reduction increases as the heterozygosity of the linked marker increases and as the trait gets closer to the linked marker(s). Incorporation of marker data in larger pedigrees also yields greater information gains based on both criteria. The effect of pedigree structure is also studied.

Data Interpretation, Statistical↗