Abstract:
:Smoking has been observed to affect plasma sex hormones and body mass index. The relationship between smoking, body mass index, and plasma concentration of sex hormones was studied in normal adult male twins. The analyses were performed for between 150 and 159 twin pairs for whom hormonal data were available on both twins. With bivariate analysis, neither body mass index nor smoking affected estrone, luteinizing hormone, follicle-stimulating hormone, ratio of testosterone to estradiol, or ratio of testosterone to dihydrotestosterone. Body mass index significantly (P less than 0.05) affected sex hormone binding globulin, whereas smoking had no effect. The plasma contents of testosterone and dihydrotestosterone and the luteinizing hormone/testosterone ratio were affected by both body mass index and smoking, although, after allowing for body mass, smoking was less significant (0.05 less than P less than 0.10). A path model was formulated to examine the relationship of body mass and sex steroid levels. Our results suggest that body mass index affects sex steroids, since common environmental factors do not account for the strength of the relationship. The bivariate analysis suggests that the smoking effect on sex hormones (except perhaps for dihydrotestosterone) is secondary to an effect on body mass index.
journal_name
Genet Epidemioljournal_title
Genetic epidemiologyauthors
Meikle AW,Bishop DT,Stringham JD,Ford MH,West DWdoi
10.1002/gepi.1370060303subject
Has Abstractpub_date
1989-01-01 00:00:00pages
399-412issue
3eissn
0741-0395issn
1098-2272journal_volume
6pub_type
杂志文章abstract::We performed multivariate genetic analyses of cardiovascular risk factors from two sets of data on US and Australian female twins. Similar models for body mass index (BMI), serum low density (LDL) and high density (HDL) lipoproteins, including age as a covariate, were fitted successfully to both groups. These suggeste...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370100638
更新日期:1993-01-01 00:00:00
abstract::Several approaches were taken to identify the loci contributing to the quantitative and qualitative phenotypes in the Genetic Analysis Workshop 12 simulated data set. To identify possible quantitative trait loci (QTL), the quantitative traits were analyzed using SOLAR. The four replicates identified as the "best repli...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.2001.21.s1.s732
更新日期:2001-01-01 00:00:00
abstract::For the association analysis of whole-genome sequencing (WGS) studies, we propose an efficient and fast spatial-clustering algorithm. Compared to existing analysis approaches for WGS data, that define the tested regions either by sliding or consecutive windows of fixed sizes along variants, a meaningful grouping of ne...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22040
更新日期:2017-05-01 00:00:00
abstract::There is a growing recognition that gene-environment interaction (G × E) plays a pivotal role in the development and progression of complex diseases. Despite a wealth of genetic data on various complex diseases/traits generated from association and sequencing studies, detecting G × E via genome-wide analysis remains c...
journal_title:Genetic epidemiology
pub_type: 杂志文章,meta分析
doi:10.1002/gepi.22115
更新日期:2018-07-01 00:00:00
abstract::It is possible to estimate the proportionate contributions of ancestral populations to admixed individuals or populations using genetic markers, but different loci and alleles vary considerably in the amount of information that they provide. Conventionally, the allele frequency difference between parental populations ...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.10319
更新日期:2004-05-01 00:00:00
abstract::This study is an investigation of the relationship between apolipoprotein E (apoE) phenotype, arterial disease, and mortality in a group of women (n = 1,751) aged 65 years and older enrolled in the Study of Osteoporotic Fractures. Crude mortality rates were highest among women with the 4-3 and 4-4 phenotypes but age-a...
journal_title:Genetic epidemiology
pub_type: 临床试验,杂志文章,多中心研究
doi:10.1002/(SICI)1098-2272(1997)14:2<147::AID-GEPI4>3
更新日期:1997-01-01 00:00:00
abstract::Contributions to Group 17 of the Genetic Analysis Workshop 15 considered dense markers in linkage disequilibrium (LD) in the context of either linkage or association analysis. Three contributions reported on methods for modeling LD or selecting a subset of markers in linkage equilibrium to perform linkage analysis. Wh...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20291
更新日期:2007-01-01 00:00:00
abstract::GAW10 Problem 2 involves a simulated common disease defined by imposing a threshold, T, on a quantitative trait, Q1. Every individual with a value of Q1 > or = T (where T = 40) is defined as affected. Also thought to be associated with the disease as intervening variables are four other quantitative traits (Q2, Q3, Q4...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/(SICI)1098-2272(1997)14:6<737::AID-GEPI29>
更新日期:1997-01-01 00:00:00
abstract::Apolipoprotein A-IV (APO A-IV) is a major protein component of mesenteric lymph chylomicrons and very-low-density lipoproteins. It is found in plasma predominantly unassociated with major lipoprotein fractions and in high density lipoproteins. APO A-IV exhibits structural heterogeneity owing to two codominant alleles,...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370060404
更新日期:1989-01-01 00:00:00
abstract::Genetic epidemiology is a relatively new discipline that seeks to unravel the role of genetic factors and their interactions with environmental factors in the etiology of diseases, using population and family study approaches. To characterize the overall direction and emphasis of research strategies used in this field...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370100505
更新日期:1993-01-01 00:00:00
abstract::Genome-wide association studies of discrete traits generally use simple methods of analysis based on chi(2) tests for contingency tables or logistic regression, at least for an initial scan of the entire genome. Nevertheless, more power might be obtained by using various methods that analyze multiple markers in combin...
journal_title:Genetic epidemiology
pub_type:
doi:10.1002/gepi.20465
更新日期:2009-01-01 00:00:00
abstract::Four relative-pair methods for detecting genetic linkage were applied to familial Alzheimer's disease data. Results obtained using an extended Haseman-Elston test and a weighted rank pairwise correlation test, which both use information from all relative pairs, were consistent with previously published likelihood resu...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370100608
更新日期:1993-01-01 00:00:00
abstract::The role of a gene in a disease may be hidden by the presence of another risk factor such as an environmental factor. In that case, stratifying the data according to this factor strengthens power to detect linkage or association. We followed this strategy on the simulated data provided by GAW11. The transmission/diseq...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370170788
更新日期:1999-01-01 00:00:00
abstract::Our aim was to develop a simple method for testing gene-environment interaction in twin data ascertained through affected twins (probands), with known exposure status of both cotwins. To this end we derived formulae for two epidemiologic measures, as a function of prevalence of an exposure and genotype, and disease ri...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370110108
更新日期:1994-01-01 00:00:00
abstract::Over the past few years at least 13 transmission/disequilibrium test (TDT)-based tests have been developed for quantitative (Q) traits for the assessment of association or linkage in the presence of the other. A total of six of these QTDT methods were used to analyze log10IgE in the Collaborative Study on the Genetics...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.2001.21.s1.s312
更新日期:2001-01-01 00:00:00
abstract::The aim of this population-based study was to determine whether asthma aggregates in families, and if so, whether aggregation was consistent with environmental and/or genetic etiologies. Data were from 7,394 nuclear families (41,506 individuals) from the 1968 Tasmanian Asthma Survey, in which all Tasmanian schoolchild...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/(SICI)1098-2272(1997)14:3<317::AID-GEPI9>3
更新日期:1997-01-01 00:00:00
abstract::We compare four strategies for finding the settings of genetic parameters that maximize the lod scores reported in GENEHUNTER 1.2. The four strategies are iterated complete factorial designs, iterated orthogonal Latin hypercubes, evolutionary operation, and numerical optimization. The genetic parameters that are set a...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370170718
更新日期:1999-01-01 00:00:00
abstract::Inaccurate genetic (or linkage) maps can reduce the power to detect linkage, increase type I error, and distort haplotype and relationship inference. To improve the accuracy of existing maps, I propose a meta-analysis-based method that combines independent map estimates into a single estimate of the linkage map. The m...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20221
更新日期:2007-07-01 00:00:00
abstract::Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene ...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22288
更新日期:2020-07-01 00:00:00
abstract::Elevation in plasma total homocysteine (tHcy) is believed to be causally related to cardiovascular disease. Like age and sex, the thermolabile variant of methylenetetrahydrofolate reductase (MTHFR(C677T)) is an important nonmodifiable determinant of tHcy, which may be considered when describing normal ranges of tHcy i...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.10239
更新日期:2003-05-01 00:00:00
abstract::A computer-simulation method is presented for determining and correcting for the effect of maximizing the lod score over disease definitions, penetrance values, and perhaps other model parameters. The method consists of simulating the complete analysis using marker genotypes randomly generated under the assumption of ...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370070402
更新日期:1990-01-01 00:00:00
abstract::The present findings for familial Alzheimer's disease suggest a possible linkage to gene(s) on chromosome 21 for the early onset form and to chromosome 19 for the late onset. Since these results are not unequivocal, possible alternative hypotheses include the effect of genetic heterogeneity or of an oligogenic model o...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370100618
更新日期:1993-01-01 00:00:00
abstract::The etiology of complex traits likely involves the effects of genetic and environmental factors, along with complicated interaction effects between them. Consequently, there has been interest in applying genetic association tests of complex traits that account for potential modification of the genetic effect in the pr...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.21901
更新日期:2015-07-01 00:00:00
abstract::The large number of tests performed in analyzing data from genome-wide association studies has a large impact on the power of detecting risk variants, and analytic strategies specifying the optimal set of hypotheses to be tested are necessary. We propose a genome-wide strategy that is based on one degree of freedom te...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.20182
更新日期:2006-12-01 00:00:00
abstract::Identifying gene-environment (G-E) interactions can contribute to a better understanding of disease etiology, which may help researchers develop disease prevention strategies and interventions. One big criticism of studying G-E interaction is the lack of power due to sample size. Studies often restrict the interaction...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.22043
更新日期:2017-07-01 00:00:00
abstract::In spite of the success of genome-wide association studies in finding many common variants associated with disease, these variants seem to explain only a small proportion of the estimated heritability. Data collection has turned toward exome and whole genome sequencing, but it is well known that single marker methods ...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.21746
更新日期:2013-09-01 00:00:00
abstract::Most complex traits such as cancer and coronary heart diseases are attributed either to heritable factors or to environmental factors or to both. Dissecting the genetic and environmental etiology of complex traits thus requires an interdisciplinary research strategy. Genetic studies generally involve families and inve...
journal_title:Genetic epidemiology
pub_type: 杂志文章,评审
doi:10.1002/(SICI)1098-2272(1997)14:4<365::AID-GEPI3>3
更新日期:1997-01-01 00:00:00
abstract::Two analytic methods were used in the Problem 2 data set. First, generalized estimating equations (GEE) modelling was developed to adjust for familial correlation in regressions evaluating candidate genes and an environmental factor. Second, the affected-pedigree-member (APM) method was used to identify chromosomal re...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370120633
更新日期:1995-01-01 00:00:00
abstract::This paper describes a general genetic model which encompasses both autosomal and X-linked inheritance as submodels. It allows one to test for X-linked inheritance of a trait by comparing the likelihood of X-linked inheritance to the likelihood of the general genetic model. The general model is formulated as two loci,...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370010105
更新日期:1984-01-01 00:00:00
abstract::Path analysis of family data has been widely applied to resolve genetic and environmental patterns of familial resemblance. A prevalent statistical approach in path analysis has been, first, to estimate the familial correlations and, second, by assuming these estimates to be independently distributed, define a likelih...
journal_title:Genetic epidemiology
pub_type: 杂志文章
doi:10.1002/gepi.1370010305
更新日期:1984-01-01 00:00:00