Genome-wide detection and characterization of mating asymmetry in human populations.

abstract：:Haplotype-sharing was examined in sets of affected siblings in the Breast Cancer Linkage Consortium pedigrees [Easton et al., 1993], using both identity-by-descent and identity-by-state methods. Linkage of the disease susceptibility locus to markers on chromosome 17 was confirmed. Substantial genetic heterogeneity was...

journal_title：Genetic epidemiology

authors： Barrett JH,Rigby AS

更新日期：1995-01-01 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 recent successes of genome-wide association studies (GWAS) have renewed interest in genome environment wide interaction studies (GEWIS) to discover genetic factors that modulate penetrance of environmental exposures to human diseases. Indeed, gene-environment interactions (G × E), which have not been emphasized in...

journal_title：Genetic epidemiology

authors： Zhao LP,Fan W,Goodman G,Radich J,Martin P

更新日期：2015-07-01 00:00:00

abstract：:We used a case-control design to scan the genome for any associations between genetic markers and disease susceptibility loci using the first two replicates of the Mycenaean population from the GAW11 (Problem 2) data. Using a case-control approach, we constructed a series of 2-by-3 tables for each allele of every mark...

journal_title：Genetic epidemiology

authors： Yang Q,Khoury MJ,Atkinson M,Sun F,Cheng R,Flanders WD

更新日期：1999-01-01 00:00:00

abstract：:Population stratification (PS) can lead to an inflated rate of false-positive findings in genome-wide association studies (GWAS). The commonly used approach of adjustment for a fixed number of principal components (PCs) could have a deleterious impact on power when selected PCs are equally distributed in cases and con...

journal_title：Genetic epidemiology

authors： Li Q,Wacholder S,Hunter DJ,Hoover RN,Chanock S,Thomas G,Yu K

更新日期：2009-07-01 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

authors： Weeks DE,Lehner T,Squires-Wheeler E,Kaufmann C,Ott J

更新日期：1990-01-01 00:00:00

abstract：:Healthy male monozygotic (MZ) and dizygotic (DZ) twin pairs (MZ pairs = 77; DZ pairs = 88) were studied to assess the effect of dietary intake, physical activity, physical fitness, body mass index (BMI), sum of the triceps and subscapular skinfold measurements, alcohol and caffeine consumption, and smoking patterns on...

journal_title：Genetic epidemiology

authors： Slattery ML,Bishop DT,French TK,Hunt SC,Meikle AW,Williams RR

更新日期：1988-01-01 00:00:00

abstract：:Meta-analysis has been little explored to make an overall assessment of linkage from different studies. In practice, it is likely that published linkage studies will only report p-values. We compared the performance of the widely used Fisher method for combining p-values with that of pooling raw data. More loci were c...

journal_title：Genetic epidemiology

authors： Guerra R,Etzel CJ,Goldstein DR,Sain SR

更新日期：1999-01-01 00:00:00

abstract：:It has been suggested that collections of affected sib pairs, or their nuclear families, may be an efficient method for screening for genetic linkages in schizophrenia. We present the data collected in five years from 15 hospitals in the state of Maryland in an effort to determine if such a collection scheme will be f...

journal_title：Genetic epidemiology

authors： Pulver AE,Bale SJ

更新日期：1989-01-01 00:00:00

abstract：:When many correlated traits are measured the potential exists to discover the coordinated control of these traits via genotyped polymorphisms. A common statistical approach to this problem involves assessing the relationship between each phenotype and each single nucleotide polymorphism (SNP) individually (PHN); and t...

journal_title：Genetic epidemiology

authors： Klei L,Luca D,Devlin B,Roeder K

更新日期：2008-01-01 00:00:00

abstract：:Hybrid designs arose from an effort to combine the benefits of family-based and population-based study designs. A recently proposed hybrid approach augments case-parent triads with population-based control-parent triads, genotyping everyone except the control offspring. Including parents of controls substantially impr...

journal_title：Genetic epidemiology

authors： Vermeulen SH,Shi M,Weinberg CR,Umbach DM

更新日期：2009-02-01 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

authors： McGue M,Wette R,Rao DC

更新日期：1984-01-01 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：:The asymptotic distribution of [MOD] scores under the null hypothesis of no linkage is only known for affected sib pairs and other types of affected relative pairs. We have extended the GENEHUNTER-MODSCORE program to allow for simulations under the null hypothesis of no linkage to determine the empirical significance ...

journal_title：Genetic epidemiology

authors： Mattheisen M,Dietter J,Knapp M,Baur MP,Strauch K

更新日期：2008-01-01 00:00:00

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

authors： Duffy DL,O'Connell DL,Heller RF,Martin NG

更新日期：1993-01-01 00:00:00

abstract：:By analyzing more next-generation sequencing data, researchers have affirmed that rare genetic variants are widespread among populations and likely play an important role in complex phenotypes. Recently, a handful of statistical models have been developed to analyze rare variant (RV) association in different study des...

journal_title：Genetic epidemiology

authors： He L,Sillanpää MJ,Ripatti S,Pitkäniemi J

更新日期：2014-05-01 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：:Imputation is widely used for obtaining information about rare variants. However, one issue concerning imputation is the low accuracy of imputed rare variants as the inaccurate imputed rare variants may distort the results of region-based association tests. Therefore, we developed a pre-collapsing imputation method (P...

journal_title：Genetic epidemiology

authors： Kim YJ,Lee J,Kim BJ,T2D-Genes Consortium.,Park T

更新日期：2017-01-01 00:00:00

abstract：:A genome-wide correlation analysis and cluster analysis were utilized to determine chromosomal regions that had similar nonparametric linkage scores across families in order to locate interacting susceptibility loci for asthma. Conditional analysis was performed to detect any increase in lod score over baseline. Eight...

journal_title：Genetic epidemiology

authors： Colilla S,Tsalenko A,Pluznikov A,Cox NJ

更新日期：2001-01-01 00:00:00

abstract：:Testing for association between two random vectors is a common and important task in many fields, however, existing tests, such as Escoufier's RV test, are suitable only for low-dimensional data, not for high-dimensional data. In moderate to high dimensions, it is necessary to consider sparse signals, which are often ...

journal_title：Genetic epidemiology

authors： Xu Z,Xu G,Pan W,Alzheimer's Disease Neuroimaging Initiative.

更新日期：2017-11-01 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

abstract：:We have analyzed the GAW10 data from several studies of bipolar affective disorder (BPAD) using the software packages SimIBD and SIMWALK2. SimIBD implements a simulation-based affected-pedigree-member (APM) statistic, called SimAPM, as well as an APM-like statistic, also called SimIBD, that measures identical-by-desce...

journal_title：Genetic epidemiology

authors： Davis S,Sobel E,Marinov M,Weeks DE

更新日期：1997-01-01 00:00:00

abstract：:Penalized regression methods offer an attractive alternative to single marker testing in genetic association analysis. Penalized regression methods shrink down to zero the coefficient of markers that have little apparent effect on the trait of interest, resulting in a parsimonious subset of what we hope are true perti...

journal_title：Genetic epidemiology

authors： Ayers KL,Cordell HJ

更新日期：2010-12-01 00:00:00

abstract：:In this paper we investigate the power to identify gene x gene interactions in genome-wide association studies. In our analysis we focus on two-stage analyses: analyses in which we only test for interactions between single nucleotide polymorphisms that show some marginal effect. We give two algorithms to compute signi...

journal_title：Genetic epidemiology

authors： Kooperberg C,Leblanc M

更新日期：2008-04-01 00:00:00

abstract：:Construction of multifactorial disease models from epidemiological findings and their application to disease pedigrees for risk prediction is nontrivial for all but the simplest of cases. Multifactorial Disease Risk Calculator is a web tool facilitating this. It provides a user-friendly interface, extending a reported...

journal_title：Genetic epidemiology

authors： Campbell DD,Li Y,Sham PC

更新日期：2018-03-01 00:00:00

abstract：:Family data are useful for estimating disease risk in carriers of specific genotypes of a given gene (penetrance). Penetrance is frequently estimated assuming that relatives' phenotypes are independent, given their genotypes for the gene of interest. This assumption is unrealistic when multiple shared risk factors con...

journal_title：Genetic epidemiology

authors： Gong G,Hannon N,Whittemore AS

更新日期：2010-05-01 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：:As part of Genetic Analysis Workshop 17 (GAW17), our group considered the application of novel and standard approaches to the analysis of genotype-phenotype association in next-generation sequencing data. Our group identified a major issue in the analysis of the GAW17 next-generation sequencing data: type I error and ...

journal_title：Genetic epidemiology

authors： Tintle N,Aschard H,Hu I,Nock N,Wang H,Pugh E

更新日期：2011-01-01 00:00:00

abstract：:Recently, Liang et al. ([2001b] Genet. Epidemiol. 21:105-122) proposed a conditional approach to assess linkage evidence on the target region by incorporating linkage information from an unlinked (reference) region using allele shared IBD (identity-by-decent) from affected sib pairs. This is carried out by conditionin...

journal_title：Genetic epidemiology

authors： Chiu YF,Liang KY

更新日期：2004-02-01 00:00:00

abstract：:We present a range of modelling components designed to facilitate Bayesian analysis of genetic-association-study data. A key feature of our approach is the ability to combine different submodels together, almost arbitrarily, for dealing with the complexities of real data. In particular, we propose various techniques f...

journal_title：Genetic epidemiology

authors： Lunn DJ,Whittaker JC,Best N

更新日期：2006-04-01 00:00:00