Robust inference for variance components models in families ascertained through probands: I. Conditioning on proband's phenotype.

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：:We investigated the independent contributions of a candidate gene and an environmental factor, and the presence of gene x environment (G x E) interaction, in the etiology of a disease in the Genetic Analysis Workshop (GAW) 12 problem 2 simulated data using a two-stage approach utilizing both case-control and case-pare...

journal_title：Genetic epidemiology

authors： Norris JM,Selinger-Leneman H,Génin E

更新日期：2001-01-01 00:00:00

abstract：:We used variance-components analysis to investigate the additive genetic effects regulating some of the phenotypes included in the GAW11 data set. Variance-components models were fitted using Gibbs sampling methods in BUGS v 0.6. Linkage analyses for both multivariate normal (MvN) traits and right censored survival ti...

journal_title：Genetic epidemiology

authors： Palmer LJ,Tiller KJ,Burton PR

更新日期：1999-01-01 00:00:00

abstract：:We propose methods to construct meiotic gene maps while controlling the probability of a decision-error. First, a single step gene ordering procedure is presented whose decision-error probability is bounded above by a prespecified threshold. The bound for the error probability is valid under quite general circumstance...

journal_title：Genetic epidemiology

authors： Rogatko A,Babb J,Jordan H,Zacks S

更新日期：1999-01-01 00:00:00

abstract：:To better understand the contribution of major gene influences to individual differences in cardiovascular reactivity, we performed a segregation analysis on blood pressure responses to two laboratory tasks, mental arithmetic and bicycle exercise. The study population consisted of 1,451 adults (age > or = 18 years) wh...

journal_title：Genetic epidemiology

authors： Cheng LS,Carmelli D,Hunt SC,Williams RR

更新日期：1997-01-01 00:00:00

abstract：:Several methods have been proposed to increase power in rare variant association testing by aggregating information from individual rare variants (MAF < 0.005). However, how to best combine rare variants across multiple ethnicities and the relative performance of designs using different ethnic sampling fractions remai...

journal_title：Genetic epidemiology

authors： Mensah-Ablorh A,Lindstrom S,Haiman CA,Henderson BE,Marchand LL,Lee S,Stram DO,Eliassen AH,Price A,Kraft P

更新日期：2016-01-01 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

authors： Thomas DC

更新日期：2009-01-01 00:00:00

abstract：:We describe an extension to the TDT (transmission/disequilibrium test) which allows for more than two marker alleles and for covariates measured on the parent or offspring. We also describe a systematic genomic search where the mod score (maximized lod score) is computed for each marker under constraints on the popula...

journal_title：Genetic epidemiology

authors： Rice JP,Neuman RJ,Hoshaw SL,Daw EW,Gu C

更新日期：1995-01-01 00:00:00

abstract：:Multilocus linkage disequilibrium (LD) tests that consider inter-marker (LD) are more powerful than single-locus tests when disease etiology is contributed simultaneously by several linked and correlated loci. However, inclusion of redundant non-informative markers may result in reduced testing power and/or inflated f...

journal_title：Genetic epidemiology

authors： Yang HC,Lin CY,Fann CS

更新日期：2006-09-01 00:00:00

abstract：:The potential of genome-wide association analysis can only be realized when they have power to detect signals despite the detrimental effect of multiple testing on power. We develop a weighted multiple testing procedure that facilitates the input of prior information in the form of groupings of tests. For each group a...

journal_title：Genetic epidemiology

authors： Roeder K,Devlin B,Wasserman L

更新日期：2007-11-01 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：:Grade of membership analysis (GoM) may have particular relevance for genetic epidemiology. The method can flexibly relate genetic markers, clinical features, and environmental exposures to possible subtypes of disease termed pure types even when population allele frequencies and penetrance functions are not known. Hen...

journal_title：Genetic epidemiology

authors： Corder EH,Woodbury MA

更新日期：1993-01-01 00:00:00

abstract：:We subjected the first replication of the simulated isolated population data set to a novel analysis for association between marker alleles and either disease phenotypes or quantitative variable. The analysis depends on being able to reliably reconstruct all haplotypes in the pedigree. This was achieved using the MCLI...

journal_title：Genetic epidemiology

authors： Gutin A,Abkevich V,Camp NJ,Farnham JM,Cannon-Albright L,Thomas A

更新日期：2001-01-01 00:00:00

abstract：:Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous studies have used either training data from European samples in large sam...

journal_title：Genetic epidemiology

authors： Márquez-Luna C,Loh PR,South Asian Type 2 Diabetes (SAT2D) Consortium.,SIGMA Type 2 Diabetes Consortium.,Price AL

更新日期：2017-12-01 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：:Our group studied the effects of genotyping errors, pedigree errors, and missing data on a wide range of techniques, with a focus on the role of single-nucleotide polymorphisms (SNPs). Half of our group used simulated data, and half of our group used data from the Collaborative Study on the Genetics of Alcoholism (COG...

journal_title：Genetic epidemiology

authors： Hinrichs AL,Suarez BK

更新日期：2005-01-01 00:00:00

abstract：:Population isolates may be particularly useful for association studies of complex traits. This utility, however, largely depends on the transferability of tag SNPs chosen from reference samples, such as HapMap, to samples from such populations. Factors that characterize population isolates, such as widespread genetic ...

journal_title：Genetic epidemiology

authors： Service S,International Collaborative Group on Isolated Populations.,Sabatti C,Freimer N

更新日期：2007-04-01 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：:Genes with imprinting (parent-of-origin) effects express differently when inheriting from the mother or from the father. Some genes for development and behavior in mammals are known to be imprinted. We developed parametric linkage analysis that accounts for imprinting effects for continuous traits, implementing it in ...

journal_title：Genetic epidemiology

authors： Sung YJ,Rao DC

更新日期：2008-07-01 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 importance of haplotype analysis in the context of association fine mapping of disease genes has grown steadily over the last years. Since experimental methods to determine haplotypes on a large scale are not available, phase has to be inferred statistically. For individual genotype data, several reconstruction te...

journal_title：Genetic epidemiology

authors： Becker T,Knapp M

更新日期：2004-07-01 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：:Association analysis has led to the identification of many genetic variants for complex diseases. While assessing the association between genes and a disease, other factors can play an important role. The consequence of not considering covariates (such as population stratification and environmental factors) is well-do...

journal_title：Genetic epidemiology

authors： Jiang Y,Zhang H

更新日期：2011-02-01 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：:Understanding the genetic background of complex diseases and disorders plays an essential role in the promising precision medicine. The evaluation of candidate genes, however, requires time-consuming and expensive experiments given a large number of possibilities. Thus, computational methods have seen increasing appli...

journal_title：Genetic epidemiology

authors： Zhang Y,Chen Y,Hu T

更新日期：2020-06-01 00:00:00

abstract：:Linkage analyses and association studies were employed to detect disease susceptibility loci leading to elevated Q1 levels in Problem 2B. Phenotypes were defined to be the dichotomous affection status, the quantitative value for Q1, and Q1 adjusted for covariates. The method of mod-scores (for the dichotomous phenotyp...

journal_title：Genetic epidemiology

authors： Neuman RJ,Xian H

更新日期：1997-01-01 00:00:00

abstract：:A genetic epidemiologic investigation of breast cancer involving 389 breast cancer pedigrees including information on 14,721 individuals from the Icelandic population-based cancer registry is presented. Probands were women born in or after 1920 and reported to have breast cancer in the cancer registry. The average age...

journal_title：Genetic epidemiology

authors： Baffoe-Bonnie AB,Beaty TH,Bailey-Wilson JE,Kiemeney LA,Sigvaldason H,Olafsdóttir G,Tryggvadóttir L,Tulinius H

更新日期：2000-01-01 00:00:00

abstract：:Sub-Saharan Africa has been identified as the part of the world with the greatest human genetic diversity. This high level of diversity causes difficulties for genome-wide association (GWA) studies in African populations-for example, by reducing the accuracy of genotype imputation in African populations compared to no...

journal_title：Genetic epidemiology

authors： Huang L,Jakobsson M,Pemberton TJ,Ibrahim M,Nyambo T,Omar S,Pritchard JK,Tishkoff SA,Rosenberg NA

更新日期：2011-12-01 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

authors： MacCluer JW,Blangero J,Dyer TD,Speer MC

更新日期：1997-01-01 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

authors： Pankratz N,Kirkwood SC,Flury L,Koller DL,Foroud T

更新日期：2001-01-01 00:00:00