Citation Impact
2.567 - 2-year Impact Factor
2.917 - 5-year Impact Factor
1.138 - Source Normalized Impact per Paper (SNIP)
1.008 - SCImago Journal Rank (SJR)
Usage
638,571 Downloads
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Volume 4 Supplement 1
Edited by Laura Almasy, Christopher I Amos, Joan E Bailey-Wilson, Rita M Cantor, Cashell E Jaquish, Maria Martinez, Rosalind J Neuman, Jane M Olson, Lyle J Palmer, Stephen S Rich, M Anne Spence, Jean W MacCluer
Genetic Analysis Workshop 13: Analysis of Longitudinal Family Data for Complex Diseases and Related Risk Factors. Go to conference site.
New Orleans, LA, USANovember 11-14, 2002
Page 1 of 3
Citation: BMC Genetics 2003 4(Suppl 1):S1
Citation: BMC Genetics 2003 4(Suppl 1):S2
The Genetic Analysis Workshop 13 simulated data aimed to mimic the major features of the real Framingham Heart Study data that formed Problem 1, but under a known inheritance model and with 100 replicates, so ...
Citation: BMC Genetics 2003 4(Suppl 1):S3
We performed variance components linkage analysis in nuclear families from the Framingham Heart Study on nine phenotypes derived from systolic blood pressure (SBP). The phenotypes were the maximum and mean SBP...
Citation: BMC Genetics 2003 4(Suppl 1):S4
We used a random coefficient regression (RCR) model to estimate growth parameters for the time series of observed serum glucose levels in the Replicate 1 of the Genetic Analysis Workshop 13 simulated data. For...
Citation: BMC Genetics 2003 4(Suppl 1):S5
Citation: BMC Genetics 2003 4(Suppl 1):S6
One of the great strengths of the Framingham Heart Study data, provided for the Genetic Analysis Workshop 13, is the long-term survey of phenotypic data. We used this unique data to create new phenotypes repre...
Citation: BMC Genetics 2003 4(Suppl 1):S7
A genome-wide screen was conducted for type 2 diabetes progression genes using measures of elevated fasting glucose levels as quantitative traits from the offspring enrolled in the Framingham Heart Study. We a...
Citation: BMC Genetics 2003 4(Suppl 1):S8
Complex diseases are generally caused by intricate interactions of multiple genes and environmental factors. Most available linkage and association methods are developed to identify individual susceptibility g...
Citation: BMC Genetics 2003 4(Suppl 1):S9
Interactions between multiple biological phenotypes are difficult to model. Simultaneous equation modelling (SEM), as used in econometric modelling, may prove an effective tool for this problem. Generalized li...
Citation: BMC Genetics 2003 4(Suppl 1):S10
The genetic regulation of variation in intra-individual fluctuations in systolic blood pressure over time is poorly understood. Analysis of the magnitude of the average fluctuation of a person's systolic blood...
Citation: BMC Genetics 2003 4(Suppl 1):S11
The study of change in intermediate phenotypes over time is important in genetics. In this paper we explore a new approach to phenotype definition in the genetic analysis of longitudinal phenotypes. We utilize...
Citation: BMC Genetics 2003 4(Suppl 1):S12
Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple me...
Citation: BMC Genetics 2003 4(Suppl 1):S13
There has been a lack of consistency in detecting chromosomal loci that are linked to obesity-related traits. This may be due, in part, to the phenotype definition. Many studies use a one-time, single measurem...
Citation: BMC Genetics 2003 4(Suppl 1):S14
The Framingham Heart Study has contributed a great deal to advances in medicine. Most of the phenotypes investigated have been univariate traits (quantitative or qualitative). The aims of this study are to der...
Citation: BMC Genetics 2003 4(Suppl 1):S15
We investigate the power of heterogeneity LOD test to detect linkage when a trait is determined by several major genes using Genetic Analysis Workshop 13 simulated data. We consider three traits, two of which ...
Citation: BMC Genetics 2003 4(Suppl 1):S16
We compare two methods to detect genetic linkage by using serial observations of systolic blood pressure in pedigree data from the Framingham Heart Study focusing on chromosome 17. The first method is a varian...
Citation: BMC Genetics 2003 4(Suppl 1):S17
Gene × environment models are widely used to assess genetic and environmental risks and their association with a phenotype of interest for many complex diseases. Mixed generalized linear models were used to as...
Citation: BMC Genetics 2003 4(Suppl 1):S18
The data arising from a longitudinal familial study have a complex correlation structure that cannot be modeled using classical methods for the analysis of familial data at a single time point.
Citation: BMC Genetics 2003 4(Suppl 1):S19
Family studies are often conducted in a cross-sectional manner without long-term follow-up data. The relative contribution of a gene to a specific trait could change over the lifetime. The Framingham Heart Stu...
Citation: BMC Genetics 2003 4(Suppl 1):S20
We present a method for using slopes and intercepts from a linear regression of a quantitative trait as outcomes in segregation and linkage analyses. We apply the method to the analysis of longitudinal systoli...
Citation: BMC Genetics 2003 4(Suppl 1):S21
The Framingham Heart Study offspring cohort, a complex data set with irregularly spaced longitudinal phenotype data, was made available as part of Genetic Analysis Workshop 13. To allow an analysis of all of t...
Citation: BMC Genetics 2003 4(Suppl 1):S22
To compare different strategies for linkage analyses of longitudinal quantitative trait measures, we applied the "revisited" Haseman-Elston (RHE) regression model (the cross product of centered sib-pair trait ...
Citation: BMC Genetics 2003 4(Suppl 1):S23
Longitudinal data often have multiple (repeated) measures recorded along a time trajectory. For example, the two cohorts from the Framingham Heart Study (GAW13 Problem 1) contain 21 and 5 repeated measures for...
Citation: BMC Genetics 2003 4(Suppl 1):S24
This paper describes an analysis of systolic blood pressure (SBP) in the Genetic Analysis Workshop 13 (GAW13) simulated data. The main aim was to assess evidence for both general and specific genetic effects o...
Citation: BMC Genetics 2003 4(Suppl 1):S25
The design of appropriate strategies to analyze and interpret linkage results for complex human diseases constitutes a challenge. Parameters such as power, definition of phenotype, and replicability have to be...
Citation: BMC Genetics 2003 4(Suppl 1):S26
We propose a statistical model for linkage analysis of the longitudinal data. The proposed model is a mixed model based on the new Haseman and Elston model and allows several random effects. Specifically, the ...
Citation: BMC Genetics 2003 4(Suppl 1):S27
The Framingham Heart Study is a very successful longitudinal research for cardiovascular diseases. The completion of a 10-cM genome scan in Framingham families provided an opportunity to evaluate linkage using...
Citation: BMC Genetics 2003 4(Suppl 1):S28
We explored three approaches to heritability and linkage analyses of longitudinal total cholesterol levels (CHOL) in the Genetic Analysis Workshop 13 simulated data without knowing the answers. The first two w...
Citation: BMC Genetics 2003 4(Suppl 1):S29
The repeated measures in the Framingham Heart Study in the Genetic Analysis Workshop 13 data set allow us to test for consistency of linkage results within a study across time. We compared regression-based lin...
Citation: BMC Genetics 2003 4(Suppl 1):S30
With the availability of longitudinal data, age-specific (stratified) or age-adjusted genetic analyses have the potential to localize different putative trait influencing loci. If age does not influence the lo...
Citation: BMC Genetics 2003 4(Suppl 1):S31
The Framingham Heart Study provides a unique source of longitudinal family data related to CVD risk factors. Age-stratified heritability estimates were obtained over three age groups (31–49 years, 50–60 years,...
Citation: BMC Genetics 2003 4(Suppl 1):S32
The purpose of this study was to estimate both cross-sectional sibling recurrence risk ratio (λ s ) and lifetime λ s for the metabolic s...
Citation: BMC Genetics 2003 4(Suppl 1):S33
Using univariate and multivariate variance components linkage analysis methods, we studied possible genotype × age interaction in cardiovascular phenotypes related to the aging process from the Framingham Hear...
Citation: BMC Genetics 2003 4(Suppl 1):S34
To evaluate linkage evidence for body mass index (BMI) using both cross-sectional and longitudinal data, we performed genome-wide multipoint linkage analyses on subjects who had complete data at four selected ...
Citation: BMC Genetics 2003 4(Suppl 1):S35
Several different approaches can be used to examine generational and temporal trends in family studies. The measurement of offspring and parents can be made over a short period of time with parents and offspri...
Citation: BMC Genetics 2003 4(Suppl 1):S36
Using the longitudinal Framingham Heart Study data on blood pressure, we analyzed the reproducibility of linkage measures from serial cross-sectional surveys of a defined population by performing genome-wide m...
Citation: BMC Genetics 2003 4(Suppl 1):S37
Exploratory data-driven multivariate analysis provides a means of investigating underlying structure in complex data. To explore the stability of multivariate data modeling, we have applied a common method of ...
Citation: BMC Genetics 2003 4(Suppl 1):S38
Informative missingness of parental genotype data occurs when the genotype of a parent influences the probability of the parent's genotype data being observed. Informative missingness can occur in a number of ...
Citation: BMC Genetics 2003 4(Suppl 1):S39
This investigation was undertaken to assess the sensitivity and specificity of the genotyping error detection function of the computer program SIMWALK2. We chose to examine chromosome 22, which had 7 microsate...
Citation: BMC Genetics 2003 4(Suppl 1):S40
The pedigree and genotype data from the Framingham Heart Study were examined for errors. Errors in 21 of 329 pedigrees were detected with the program PREST, and of these the errors in 16 pedigrees were resolve...
Citation: BMC Genetics 2003 4(Suppl 1):S41
Methods to handle missing data have been an area of statistical research for many years. Little has been done within the context of pedigree analysis. In this paper we present two methods for imputing missing ...
Citation: BMC Genetics 2003 4(Suppl 1):S42
Missing data are a great concern in longitudinal studies, because few subjects will have complete data and missingness could be an indicator of an adverse outcome. Analyses that exclude potentially informative...
Citation: BMC Genetics 2003 4(Suppl 1):S43
Observational cohort studies have been little used in linkage analyses due to their general lack of large, disease-specific pedigrees. Nevertheless, the longitudinal nature of such studies makes them potential...
Citation: BMC Genetics 2003 4(Suppl 1):S44
Genetic heterogeneity and complex biologic mechanisms of blood pressure regulation pose significant challenges to the identification of susceptibility loci influencing hypertension. Previous linkage studies ha...
Citation: BMC Genetics 2003 4(Suppl 1):S45
We compare two new software packages for linkage analysis, LODPAL and GENEFINDER. Both allow for covariate adjustment. Replicates 1 to 3 of Genetic Analysis Workshop 13 simulated data sets were used for the an...
Citation: BMC Genetics 2003 4(Suppl 1):S46
Plasma triglyceride and high density lipoprotein cholesterol levels are inversely correlated and both are genetically related. Two correlated traits may be influenced both by shared and unshared genes. The pow...
Citation: BMC Genetics 2003 4(Suppl 1):S47
One implicit assumption in most linkage analysis is that live-born siblings unselected for a phenotype do not share alleles greater than the Mendelian expectation at any particular locus. However, since most f...
Citation: BMC Genetics 2003 4(Suppl 1):S48
Family-based association testing is an important part of genetic epidemiology. Tests are available to include multiple siblings, unaffected offspring, and to adjust for environmental covariates. We explore a s...
Citation: BMC Genetics 2003 4(Suppl 1):S49
We analyzed the Genetic Analysis Workshop 13 (GAW13) simulated data to contrast and compare different methods for the genetic linkage analysis of hypertension and change in blood pressure over time. We also ex...
Citation: BMC Genetics 2003 4(Suppl 1):S50
Citation Impact
2.567 - 2-year Impact Factor
2.917 - 5-year Impact Factor
1.138 - Source Normalized Impact per Paper (SNIP)
1.008 - SCImago Journal Rank (SJR)
Usage
638,571 Downloads
221 Altmetric Mentions
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