Analysis of two-locus traits under heterogeneity for recessive versus dominant inheritance.

abstract：:The study of the genetic component of early-onset diseases requires investigation into parental genetic effects, particularly those mediated by the mother who can influence the offspring's risk of disease through the effects of her genes acting directly on the intrauterine milieu or indirectly through maternal-gene ch...

journal_title：Genetic epidemiology

authors： Bourgey M,Healy J,Saint-Onge P,Massé H,Sinnett D,Roy-Gagnon MH

更新日期：2011-09-01 00:00:00

abstract：:High-throughput sequencing technologies have enabled large-scale studies of the role of the human microbiome in health conditions and diseases. Microbial community level association test, as a critical step to establish the connection between overall microbiome composition and an outcome of interest, has now been rout...

journal_title：Genetic epidemiology

authors： Zhan X,Tong X,Zhao N,Maity A,Wu MC,Chen J

更新日期：2017-04-01 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

abstract：:We determined pairwise linkage disequilibria between 12 restriction fragment length polymorphism (RFLP) markers at or near the low-density lipoprotein receptor (LDLR) locus on chromosome 19p13.2-13.1 in 92 unrelated individuals. Of these 12 RFLPs, two were newly identified under a cosmid-based strategy designed to scr...

journal_title：Genetic epidemiology

authors： Hegele RA,Plaetke R,Lalouel JM

更新日期：1990-01-01 00:00:00

abstract：:Three characteristics of genetic epidemiology that distinguish it from its parent disciplines are a focus on population-based research, a focus on the joint effects of genes and the environment, and the incorporation of the underlying biology of the disease into its conceptual models. These principles are illustrated ...

journal_title：Genetic epidemiology

authors： Thomas DC

更新日期：2000-12-01 00:00:00

abstract：:In the past decade, many genome-wide association studies (GWASs) have been conducted to explore association of single nucleotide polymorphisms (SNPs) with complex diseases using a case-control design. These GWASs not only collect information on the disease status (primary phenotype, D) and the SNPs (genotypes, X), but...

journal_title：Genetic epidemiology

authors： Ray D,Basu S

更新日期：2017-07-01 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：:Intended to resolve the problem of constructing a matched population-based control sample, haplotype relative risk techniques frequently suffer from loss of power for late-onset diseases due to unavailability of parental genotypes that are required to form parent-offspring pairs. However, much of this missing informat...

journal_title：Genetic epidemiology

authors： Martin RB,Alda M,MacLean CJ

更新日期：1998-01-01 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：:Twin pairs are sometimes included in studies because at least one of them is a proband, and conventionally the analysis of the data is based on the conditional distribution of the co twin given the proband. In the case of more than one proband in each pair, an often used "ad hoc" method of analysis is to allow each tw...

journal_title：Genetic epidemiology

authors： Hindsberger C,Bryld LE

更新日期：2003-11-01 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：: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：:We combined the five chromosome 18 bipolar affective disorder data sets provided by GAW10, totaling 185 families with 3,394 individuals, and performed analysis of differential parental transmission and chromosome 18 marker allele sharing in families with transmission through fathers vs those through mothers. Results i...

journal_title：Genetic epidemiology

authors： Lin JP,Bale SJ

更新日期：1997-01-01 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：:There has been extensive literature on modeling gene-gene interaction (GGI) and gene-environment interaction (GEI) in case-control studies with limited literature on statistical methods for GGI and GEI in longitudinal cohort studies. We borrow ideas from the classical two-way analysis of variance literature to address...

journal_title：Genetic epidemiology

authors： Ko YA,Saha-Chaudhuri P,Park SK,Vokonas PS,Mukherjee B

更新日期：2013-09-01 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：: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：:Linkage disequilibrium mapping of quantitative traits is a powerful method for dissecting the genetic etiology of complex phenotypes. Quantitative traits, however, often exhibit characteristics that make their use problematic. For example, the distribution of the trait may be censored, highly skewed, or contaminated w...

journal_title：Genetic epidemiology

authors： Allen AS,Martin ER,Qin X,Li YJ

更新日期：2006-04-01 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

authors： Vogt MT,Cauley JA,Kuller LH

更新日期：1997-01-01 00:00:00

abstract：:The Framingham Heart Study data, as well as a related simulated data set, were generously provided to the participants of the Genetic Analysis Workshop 13 in order that newly developed and emerging statistical methodologies could be tested on that well-characterized data set. The impetus driving the development of nov...

journal_title：Genetic epidemiology

authors： Costello TJ,Falk CT,Ye KQ

更新日期：2003-01-01 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 have conducted a study of renal sodium and potassium reabsorption in 205 pairs of twins on freely chosen diets; 89 of the subjects were studied on more than one occasion. Renal tubular sodium and potassium handling, as measured by the fractional excretions FENa and FEK, show repeatable differences between individua...

journal_title：Genetic epidemiology

authors： Whitfield JB,Martin NG

更新日期：1985-01-01 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：:The purpose of the current study was to utilize the Genetic Analysis Workshop 12 simulated data to evaluate fine-mapping strategies for quantitative traits. We approached the analysis as if it was a follow-up to a genome scan that had identified two regions of interest and used the provided 1-cM density microsatellite...

journal_title：Genetic epidemiology

authors： Heard-Costa NL,Demissie S,DeStefano AL,Knowlton BA,Maher NE,Myers RH,Volcjak JS,Wilk JB,Cupples LA

更新日期：2001-01-01 00:00:00

abstract：:The complex etiology of common diseases like cardiovascular disease, diabetes, hypertension, and rheumatoid arthritis has led investigators to focus on the genetics of correlated phenotypes and risk factors. Joint analysis of multiple disease-related phenotypes may reveal genes of pleiotropic effect and increase analy...

journal_title：Genetic epidemiology

authors： Kent JW Jr

更新日期：2009-01-01 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：: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：:Artificial neural networks were applied to the alcoholism data to reveal nonlinear relationships between intermediate phenotypes, marker identity-by-descent sharing, and the affection status. A variable number of hidden units were considered to achieve a balance between the minimal mean-squared error and over-fitting ...

journal_title：Genetic epidemiology

authors： Li W,Haghighi F,Falk CT

更新日期：1999-01-01 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：: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