The insulin gene and susceptibility to IDDM.

abstract：:We have analyzed allele frequency distribution at the hypervariable locus 3' to the apolipoprotein B gene in a healthy population sample (241 women and 246 men) from the Belgrade area. The bimodal distribution of sixteen different hypervariable region (HVR) alleles and the heterozygosity index (average 0.76) in both s...

journal_title：Genetic epidemiology

authors： Alavantić D,Glisić S,Kandić I

更新日期：1998-01-01 00:00:00

abstract：:Variable selection is growing in importance with the advent of high throughput genotyping methods requiring analysis of hundreds to thousands of single nucleotide polymorphisms (SNPs) and the increased interest in using these genetic studies to better understand common, complex diseases. Up to now, the standard approa...

journal_title：Genetic epidemiology

authors： Fridley BL

更新日期：2009-01-01 00:00:00

abstract：:In case-control genetic association studies, the robust procedure, Pearson's Chi-square test, is commonly used for testing association between disease status and genetic markers. However, this test does not take the possible trend of relative risks, which are due to genotype, into account. On the contrary, although Co...

journal_title：Genetic epidemiology

authors： Chen Z

更新日期：2011-11-01 00:00:00

abstract：:We investigated a variety of methods for pooling data from eight data sets (n = 5,424 subjects) to validate evidence for linkage of markers in the cytokine cluster on chromosome 5q31-33 to asthma and asthma-associated phenotypes. Chromosome 5 markers were integrated into current genetic linkage and physical maps, and ...

journal_title：Genetic epidemiology

authors： Jacobs KB,Burton PR,Iyengar SK,Elston RC,Palmer LJ

更新日期：2001-01-01 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

authors： Husemoen LL,Thomsen TF,Fenger M,Jørgensen HL,Jørgensen T

更新日期：2003-05-01 00:00:00

abstract：:In the last two decades, complex traits have become the main focus of genetic studies. The hypothesis that both rare and common variants are associated with complex traits is increasingly being discussed. Family-based association studies using relatively large pedigrees are suitable for both rare and common variant id...

journal_title：Genetic epidemiology

authors： Saad M,Wijsman EM

更新日期：2014-11-01 00:00:00

abstract：:In diseases with a complex mode of inheritance, families with multiple affected individuals are difficult to ascertain. The haplotype sharing statistic (HSS) uses (hidden) co-ancestry between affected individuals from a founder population. These affected individuals will likely not only share the same mutation(s), but...

journal_title：Genetic epidemiology

authors： Van der Meulen MA,te Meerman GJ

更新日期：1997-01-01 00:00:00

abstract：:We contrast the pooling of multiple data sets with the compound HLOD (HLOD-C) and the posterior probability of linkage (PPL), two approaches that have been shown to have more power in the presence of genetic heterogeneity. We also propose and evaluate several multipoint extensions. ...

journal_title：Genetic epidemiology

authors： Van Eerdewegh P,Dowd M,Dupuis J,Falls K,Hayward B,Santangelo SL

更新日期：2001-01-01 00:00:00

abstract：:Meta-analyses of genetic association studies are usually performed using a single polymorphism at a time, even though in many cases the individual studies report results from partially overlapping sets of polymorphisms. We present here a multipoint (or multilocus) method for multivariate meta-analysis of published pop...

journal_title：Genetic epidemiology

authors： Bagos PG,Liakopoulos TD

更新日期：2010-11-01 00:00:00

abstract：:Unaffected individuals are often disregarded in nonparametric linkage analysis. Because of the presumed high complexity of genetic interactions and the resulting low penetrance of any single genetic effect, the statistical contribution of unaffected sib pairs is thought to be considerably lower than that of the affect...

journal_title：Genetic epidemiology

authors： Majewski J

更新日期：2001-01-01 00:00:00

abstract：:Family-based designs enriched with affected subjects and disease associated variants can increase statistical power for identifying functional rare variants. However, few rare variant analysis approaches are available for time-to-event traits in family designs and none of them applicable to the X chromosome. We develo...

journal_title：Genetic epidemiology

authors： Chien LC,Bowden DW,Chiu YF

更新日期：2017-09-01 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

authors： Ayers KL,Cordell HJ

更新日期：2013-09-01 00:00:00

abstract：:The 4 allele of apolipoprotein E (APOE) is associated with increased risk of two major causes of death in low-mortality populations: ischemic heart disease and Alzheimer's disease. It is less common among centenarians than at younger ages. Therefore, it is likely that it is associated with excess risk of death. This a...

journal_title：Genetic epidemiology

authors： Ewbank DC

更新日期：2002-02-01 00:00:00

abstract：:Logistic regression is the primary analysis tool for binary traits in genome-wide association studies (GWAS). Multinomial regression extends logistic regression to multiple categories. However, many phenotypes more naturally take ordered, discrete values. Examples include (a) subtypes defined from multiple sources of ...

journal_title：Genetic epidemiology

authors： German CA,Sinsheimer JS,Klimentidis YC,Zhou H,Zhou JJ

更新日期：2020-04-01 00:00:00

abstract：:The research presented in group 11 of the Genetic Analysis Workshop 15 (GAW15) falls into two major themes: Model selection approaches for gene mapping (both Bayesian and Frequentist); and other Bayesian methods. These methods either allow relaxation of some of the common assumptions, such as mode of inheritance, for ...

journal_title：Genetic epidemiology

authors： Swartz MD,Thomas DC,Daw EW,Albers K,Charlesworth JC,Dyer TC,Fridley BL,Govil M,Kraft P,Kwon S,Logue MW,Oh C,Pique-Regi R,Saba L,Schumacher FR,Uh HW

更新日期：2007-01-01 00:00:00

abstract：:With challenges in data harmonization and environmental heterogeneity across various data sources, meta-analysis of gene-environment interaction studies can often involve subtle statistical issues. In this paper, we study the effect of environmental covariate heterogeneity (within and between cohorts) on two approache...

journal_title：Genetic epidemiology

authors： Li S,Mukherjee B,Taylor JM,Rice KM,Wen X,Rice JD,Stringham HM,Boehnke M

更新日期：2014-07-01 00:00:00

abstract：:The restricted partition method (RPM) is a partitioning algorithm for examining multi-locus genotypes as (potentially non-additive) predictors of a quantitative trait. The motivating application was to develop a robust method to examine quantitative phenotypes for epistasis (gene-gene interactions), but the method can...

journal_title：Genetic epidemiology

authors： Culverhouse R,Klein T,Shannon W

更新日期：2004-09-01 00:00:00

abstract：:Human apolipoprotein A-IV (APO A-IV) exhibits a common protein polymorphism detectable by isoelectric focusing (IEF) due to a single base substitution at codon 360 which replaces the frequently occurring glutamine residue (allele 1) with histidine (allele 2). Recently, sequence analysis of the APO A-IV coding region h...

journal_title：Genetic epidemiology

authors： Kamboh MI,Hamman RF,Ferrell RE

更新日期：1992-01-01 00:00:00

abstract：:Recent advances in the molecular basis of body fat regulation have identified several genes in which genetic variation may influence obesity and related measures in human populations. Genes that have been shown to have a regulatory function in the control of body fat utilization, eating behavior, and/or metabolic rate...

journal_title：Genetic epidemiology

authors： Bray MS,Boerwinkle E,Hanis CL

更新日期：1999-01-01 00:00:00

abstract：:Cancer has predominant environmental and somatic causes but the assessment of hereditary (genetic) causes is difficult, except for highly penetrant single-gene causes. Family studies are only partially informative in this regard because family members share diet and life-styles. Twin studies have been classically used...

journal_title：Genetic epidemiology

authors： Hemminki K,Lönnstedt I,Vaittinen P,Lichtenstein P

更新日期：2001-01-01 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

authors： Nicolae DL

更新日期：2006-12-01 00:00:00

abstract：:Lander and Kruglyak [1995] gave guidelines for interpreting linkage results based on estimating how often a particular threshold for significance would be exceeded by chance in a single genome scan. What is unknown is how often two or more genome scans would exceed a particular threshold within the same region. We dev...

journal_title：Genetic epidemiology

authors： Badner JA,Goldin LR

更新日期：1999-01-01 00:00:00

abstract：:A method is described for estimating excess relative risks of a disease from familial factors. Beginning with population-based series of cases and controls, a cohort of each subject's relatives is formed and checked for disease against a population based registry. The disease experience of the cohort formed from each ...

journal_title：Genetic epidemiology

authors： Kerber RA

更新日期：1995-01-01 00:00:00

abstract：:A robust approach for estimating standard errors of variance components by using quantitative phenotypes from families ascertained through a proband with an extreme phenotypic value is presented. Estimators that use the multivariate normal distribution as a "working likelihood" are obtained by computing conditional ln...

journal_title：Genetic epidemiology

authors： Beaty TH,Liang KY

更新日期：1987-01-01 00:00:00

abstract：:This paper summarizes the analyses by participants in the insulin-dependent diabetes mellitus (IDDM) component of Genetic Analysis Workshop 5 (GAW5). The data were obtained from 94 families with two or more IDDM sibs. Topics treated in the Workshop analysis included the following: methods for detecting associations an...

journal_title：Genetic epidemiology

authors： Spielman RS,Baur MP,Clerget-Darpoux F

更新日期：1989-01-01 00:00:00

abstract：:Multifactor dimensionality reduction (MDR) was developed as a nonparametric and model-free data mining method for detecting, characterizing, and interpreting epistasis in the absence of significant main effects in genetic and epidemiologic studies of complex traits such as disease susceptibility. The goal of MDR is to...

journal_title：Genetic epidemiology

authors： Pattin KA,White BC,Barney N,Gui J,Nelson HH,Kelsey KT,Andrew AS,Karagas MR,Moore JH

更新日期：2009-01-01 00:00:00

abstract：:We have conducted a simulation study in small pedigrees to investigate the power to detect linkage and heterogeneity for a disorder due to either one of two independent disease loci. We have considered a highly polymorphic marker locus (PIC = 70%) linked to one disease locus and unlinked to the second. The power to de...

journal_title：Genetic epidemiology

authors： Martinez M,Goldin LR

更新日期：1990-01-01 00:00:00

abstract：:Rheumatoid arthritis is an inflammatory disease for which positive associations have been described with some HLA-DRB1 alleles. The associated alleles share a similar amino acid sequence in the third hypervariable region, the shared epitope, but differ at position 71 and 86. It has been suggested that HLA susceptibili...

journal_title：Genetic epidemiology

authors： Tézenas du Montcel S,Reviron D,Genin E,Roudier J,Mercier P,Clerget-Darpoux F

更新日期：2000-12-01 00:00:00

abstract：:The heritability of most complex traits is driven by variants throughout the genome. Consequently, polygenic risk scores, which combine information on multiple variants genome-wide, have demonstrated improved accuracy in genetic risk prediction. We present a new two-step approach to constructing genome-wide polygenic ...

journal_title：Genetic epidemiology

authors： Newcombe PJ,Nelson CP,Samani NJ,Dudbridge F

更新日期：2019-10-01 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

authors： Hasstedt SJ,Skolnick M

更新日期：1984-01-01 00:00:00