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At least 433 records · Page 24Linked to original sources
PubMed1997

Segregation analysis of abdominal visceral fat: the HERITAGE Family Study.

A major gene hypothesis for abdominal visceral fat (AVF) level, both before and after adjustment for total body fat mass, was investigated in 86 white families who participated in the HERITAGE Family Study. In this study, sedentary families were tested for a battery of measures (baseline), endurance exercise trained for 20 weeks, and then remeasured again. The baseline measures reported here are unique in that the variance due to a potentially important environmental factor (activity level) was limited. AVF area was assessed at L4 to L5 by the use of computerized tomography scan, and total body fat mass was assessed with underwater weighing. For fat mass, a putative locus accounted for 64% of the variance, but there was no evidence of a multifactorial component (i.e., no polygenic and/or common familial environmental effects). For AVF area, both a major gene effect accounting for 54% of the variance and a multifactorial component accounting for 17% of the variance were significant. However, after AVF area was adjusted for the effects of total level of body fat, the support for a major gene was reduced. In particular, there was a major effect for fat mass-adjusted AVF area, but it was not transmitted from parents to offspring (i.e., the three transmission probabilities were equal). The importance of this study is twofold. First, these results confirm a previous study that suggested that there is a putative major locus for AVF and for total body fat mass. Second, the findings from the HERITAGE Family Study suggest that the factors underlying AVF area in sedentary families may be similar to those in the population at large, which includes both sedentary and active families. Whether the gene(s) responsible for the high levels of AVF area is the same as that which influences total body fat content remains to be further investigated.

Abdomen↗
PubMed2004

Segregation analysis in cystic fibrosis at-risk family demonstrates that the M348K CFTR mutation is a rare innocuous polymorphism.

OBJECTIVE: Cystic fibrosis (CF; OMIM# 219700) is caused by mutation in the CF transmembrane regulator (CFTR) gene. We investigate whether the (paternal) M348K mutation is a benign polymorphism or a disease-causing mutation in a patient clinically affected with CF, with the second (maternal) CFTR allele identified as N1303K. METHODS: The patient and his father were studied for the presence of mutations in the CFTR gene using the DHPLC system to analyze all CFTR exons. Amplicons showing an abnormal elution profile were sequenced. RESULTS: The CFTR gene from the healthy father has two mutations, M348K and G1244E. The affected son inherited only the G1244E paternal mutation from his father, and hence the two paternal mutations are trans and do not occur in the same CFTR gene. The patient's genotype is G1244E(paternal)/N1303K(maternal). This information was used to study an ongoing pregnancy of the couple, where the fetus inherited the same genotype as the affected proband and therefore is affected. CONCLUSION: M348K in the CFTR gene is not a mutation causing CF, but a rare polymorphism. These data are important for genetic counseling and prenatal diagnosis and illustrate the importance of full sequence data when studying rare mutations.

Alleles↗
PubMed1981

Segregation analysis.

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Dopamine beta-Hydroxylase↗
PubMed2002

Segregation analysis of prostate cancer in 1,719 white, African-American and Asian-American families in the United States and Canada.

UNLABELLED: Some data suggest that brothers of prostate cancer patients have higher disease risk than their fathers, supporting an X-linked or recessive mode of inheritance. However, higher observed frequencies in brothers than fathers may merely reflect the strong temporal changes in US incidence rates. OBJECTIVES: (a) to evaluate the fit of X-linked, recessive, and dominant modes of inheritance to prostate cancer incidence, specific for calendar year, age, and race, in population-based samples of US and Canadian families; and (b) to evaluate a simple multifactorial model for familial aggregation of prostate cancer due to shared low-penetrance variants of many genes or shared lifestyle factors. METHODS: The data consist of reported prostate cancer incidence in first-degree relatives of 1,719 white, African-American, and Asian-American men with and without prostate cancer at ages <70 years. Model parameters were estimated by maximizing a pseudo-likelihood function of the data, and goodness of model fit was assessed by evaluating discrepancies between observed and expected numbers of pairs of relatives with prostate cancer. RESULTS: After adjusting for temporal trends in prostate cancer incidence rates we found that the X-linked model fit poorly. underpredicting the observed number of affected father-son pairs. This also was true of the recessive model, although the evidence for poor fit did not achieve statistical significance. In contrast, the dominant model provided adequate fit to the data. In this model the race-specific penetrance estimates for carriers of deleterious genotypes were similar among African-Americans and whites, but lower among Asian-Americans: risk by age 80 years for carriers born in 1900 was estimated as 75.3% for African-Americans and whites, and 44.4% for Asian-Americans. None of the Mendelian models fit the data better than did the simple multifactorial model. CONCLUSIONS: The good fit of the multifactorial model suggests that multiple genes, each having low penetrance, may be responsible for most inherited prostate cancer susceptibility, and that the contribution of rare highly penetrant mutations is small.

Adult↗
PubMedDate not supplied

Genetics of human body size and shape: complex segregation analysis.

The genetic component in a mixed heritability model, including major gene, multifactorial and sibling environment transmissible components, was studied for some 20 anthropometric traits in two ethnically different samples. The first sample comprised 305 Mexican nuclear families, and the second comprised 83 Ashkenazi Jewish nuclear families living in Israel. All variables, after adjustment for age and sex, were subjected to principal-components analysis (PCA) in each sample separately. The mixed model of inheritance as implemented in the computer program POINTER was used in the present study. An attempt was made to evaluate genetic effects in the variation of the first principal components (PCs). PCA showed a clear separation of variables and was easily interpretable. The PC1 was a credibly general size factor. This factor alone accounted for about 30% of the total variance. Other components are rather shape factors for various combinations of traits. The testing of several genetic hypothesis showed the following: (1) For all factor scores the genetic component was high and statistically significant. (2) In a Mexican sample, for PC1 and PC2, both major gene and polygenes contributed significantly to the total variation of these variables; in the major locus the alleles were most probably codominant. (3) For all other PCs the major gene effect hypothesis was rejected, with more than 50% of the variation attributable to the polygenes contribution. (4) No evidence was found for sibling environmental resemblance in either sample.

Adolescent↗