Citation Impact
0.74 – Cite Score
0.334 - Source Normalized Impact per Paper (SNIP)
0.35 - SCImago Journal Rank (SJR)
Usage
529,083 downloads
Social Media Impact
53 mentions
Page 68 of 70
In whole-genome association studies, at the first stage, all markers are tested for association and their test statistics or p-values are ranked. At the second stage, some most significant markers are further ana...
Citation: BMC Proceedings 2007 1(Suppl 1):S165
A number of autoimmune and other diseases have well established HLA associations; in many cases there is strong evidence for the direct involvement of the HLA class II peptide-presenting antigens, e.g., HLA DR...
Citation: BMC Proceedings 2007 1(Suppl 1):S163
The presence of linkage disequilibrium violates the underlying assumption of linkage equilibrium in most traditional multipoint linkage approaches. Studies have shown that such violation leads to bias in quali...
Citation: BMC Proceedings 2007 1(Suppl 1):S161
Recent studies have shown that linkage disequilibrium (LD) between single-nucleotide polymorphism (SNP) markers is widespread. Assuming linkage equilibrium has been shown to cause false positives in linkage st...
Citation: BMC Proceedings 2007 1(Suppl 1):S159
In the fast-developing field of expression quantitative traits loci (eQTL) studies, much interest has been concentrated on detecting genomic regions containing transcriptional regulators that influence multipl...
Citation: BMC Proceedings 2007 1(Suppl 1):S157
We applied a simple and efficient two-step method to analyze a family-based association study of gene expression quantitative trait loci (eQTL) in a mixed model framework. This two-step method produces very si...
Citation: BMC Proceedings 2007 1(Suppl 1):S144
In this report, we focused on the multiplicity issue in Problem 1 of Genetic Analysis Workshop 15. We investigated and compared the performance of the stratified false-discovery rate control method with the tr...
Citation: BMC Proceedings 2007 1(Suppl 1):S142
Multiple testing is a problem in genome-wide or region-wide association studies. In this report, we consider a study design given by the Genetic Analysis Workshop 15 (GAW15) Problem 3 – nuclear families (paren...
Citation: BMC Proceedings 2007 1(Suppl 1):S140
The incorporation of disease-associated covariates into studies aiming to identify susceptibility genes for complex human traits is a challenging problem. Accounting for such covariates in genetic linkage and ...
Citation: BMC Proceedings 2007 1(Suppl 1):S138
Large-scale genome-wide association studies are increasingly common, due in large part to recent advances in genotyping technology. Despite a dramatic drop in genotyping costs, it is still too expensive to gen...
Citation: BMC Proceedings 2007 1(Suppl 1):S136
Genome-wide association studies raise study-design and analytical issues that are still being debated. Among them, stands the issue of reducing the number of markers to be genotyped without loss of efficiency ...
Citation: BMC Proceedings 2007 1(Suppl 1):S134
We have developed a graphical display tool called SIMLAPLOT for visualizing different ways in which continuous covariates may influence the genotype-specific risk for complex human diseases. The purpose of our...
Citation: BMC Proceedings 2007 1(Suppl 1):S132
Measuring the association of haplotype similarities with phenotype similarities has been used to develop statistical tests of genetic association. Previously, we applied the general approach of Mantel statisti...
Citation: BMC Proceedings 2007 1(Suppl 1):S128
The nuclear factor-kappaB (NF-κB) family of transcription factors regulates the expression of a variety of genes involved in apoptosis and immune response. We examined relationships between genotypes at five N...
Citation: BMC Proceedings 2007 1(Suppl 1):S126
Non-inherited maternal antigens encoded by specific HLA-DRB1 alleles (NIMA) have been implicated as a rheumatoid arthritis (RA) risk factor. Using genotype data from North American Rheumatoid Arthritis Consortium...
Citation: BMC Proceedings 2007 1(Suppl 1):S124
Inter-individual variation in gene expression levels can arise as an effect of variation in DNA markers. When associating multiple gene expression variables with multiple DNA marker variables, multivariate tec...
Citation: BMC Proceedings 2007 1(Suppl 1):S122
Rheumatoid arthritis is a complex disease that appears to involve multiple genetic and environmental factors. Using the Genetic Analysis Workshop 15 simulated rheumatoid arthritis data and the structural equat...
Citation: BMC Proceedings 2007 1(Suppl 1):S118
Rheumatoid arthritis (RA) is a chronic, complex autoimmune inflammatory disorder with poorly known etiology. Approximately 1% of the adult population is afflicted with RA. Linkage analysis of RA can be complic...
Citation: BMC Proceedings 2007 1(Suppl 1):S101
Parametric linkage methods for quantitative trait locus mapping require explicit specification of the probability model of the quantitative trait and hence can lead to misleading linkage inferences when the mo...
Citation: BMC Proceedings 2007 1(Suppl 1):S99
We performed linkage analysis on families with rheumatoid arthritis, stratifying by ethnic origin. We compared results using either Kong and Cox nonparametric LOD scores or MOD score analysis using the softwar...
Citation: BMC Proceedings 2007 1(Suppl 1):S97
The COMT and DBH genes are physically located at chromosomes 22q11 and 9q34, respectively, and both COMT and DBH are involved in catecholamine metabolism and are strong candidates for certain psychiatric and neur...
Citation: BMC Proceedings 2007 1(Suppl 1):S95
We performed multipoint linkage analyses with multiple programs and models for several gene expression traits in the Centre d'Etude du Polymorphisme Humain families. All analyses provided consistent results fo...
Citation: BMC Proceedings 2007 1(Suppl 1):S93
A new method for constructing confidence intervals for the location of putative genes regulating expression levels (quantitative traits) is proposed. This method is suitable for the "intermediate" fine-mapping...
Citation: BMC Proceedings 2007 1(Suppl 1):S91
We used the Genetic Analysis Workshop 15 Problem 1 data set to search for expression phenotype quantitative trait loci in a highly selected group of genes with a supposedly correlated role in the development o...
Citation: BMC Proceedings 2007 1(Suppl 1):S89
Recently, gene expression levels have been shown to demonstrate familial aggregation, suggesting a direct role of heritable DNA variation. We studied the gene expression levels in lymphoblastoid cells of the C...
Citation: BMC Proceedings 2007 1(Suppl 1):S87
In order to identify regulatory genes, we determined the heritability of gene transcripts, performed linkage analysis to identify quantitative trait loci (QTLs), and evaluated the evidence for shared genetic e...
Citation: BMC Proceedings 2007 1(Suppl 1):S85
The identification of susceptibility genes for common, chronic disease presents great challenges. The development of novel statistical and computational methodologies to help identify these genes is an area of...
Citation: BMC Proceedings 2007 1(Suppl 1):S70
Non-parametric linkage methods have had limited success in detecting gene by gene interactions. Using affected sibling-pair (ASP) data from all replicates of the simulated data from Problem 3, we assessed the ...
Citation: BMC Proceedings 2007 1(Suppl 1):S66
When two genes interact to cause a clinically important phenotype, it would seem reasonable to expect that we could leverage genotypic information at one of the loci in order to improve our ability to detect t...
Citation: BMC Proceedings 2007 1(Suppl 1):S64
Using the North American Rheumatoid Arthritis Consortium (NARAC) candidate gene and genome-wide single-nucleotide polymorphism (SNP) data sets, we applied regression methods and tree-based random forests to id...
Citation: BMC Proceedings 2007 1(Suppl 1):S62
The Genetic Analysis Workshop 15 Problem 3 simulated rheumatoid arthritis data set provided 100 replicates of simulated single-nucleotide polymorphism (SNP) and covariate data sets for 1500 families with an af...
Citation: BMC Proceedings 2007 1(Suppl 1):S60
Risk of complex disorders is thought to be multifactorial, involving interactions between risk factors. However, many genetic studies assess association between disease status and markers one single-nucleotide...
Citation: BMC Proceedings 2007 1(Suppl 1):S58
We used the simulated data set from Genetic Analysis Workshop 15 Problem 3 to assess a two-stage approach for identifying single-nucleotide polymorphisms (SNPs) associated with rheumatoid arthritis (RA). In th...
Citation: BMC Proceedings 2007 1(Suppl 1):S56
Using parametric and nonparametric techniques, our study investigated the presence of single locus and pairwise effects between 20 markers of the Genetic Analysis Workshop 15 (GAW15) North American Rheumatoid ...
Citation: BMC Proceedings 2007 1(Suppl 1):S54
About 28% of genes appear to have an expression pattern that follows a mixture distribution. We use first- and second-order partial correlation coefficients to identify trios and quartets of non-sex-linked gen...
Citation: BMC Proceedings 2007 1(Suppl 1):S50
Extensive studies have been performed to analyze variation in gene expression data by using multistage approaches, including a combination of microarray and linkage analysis. Such a method was recently used in...
Citation: BMC Proceedings 2007 1(Suppl 1):S48
Performing linkage and association analyses on a large set of correlated data presents an interesting set of problems. In the current setting, we have 3554 expression levels from lymphoblastoid cell lines in 1...
Citation: BMC Proceedings 2007 1(Suppl 1):S46
We performed a case-control association analysis of rheumatoid arthritis (RA) for several candidate genes using the North American Rheumatoid Arthritis Consortium (NARAC) data provided in Genetic Analysis Work...
Citation: BMC Proceedings 2007 1(Suppl 1):S33
The goal of this analysis is to compare different test strategies for genetic association in case-control studies using related individuals. The first test is the trend test that is corrected for related indiv...
Citation: BMC Proceedings 2007 1(Suppl 1):S31
Related cases may be included in case-control association studies if correlations between related individuals due to identity-by-descent (IBD) sharing are taken into account. We derived a framework to test for...
Citation: BMC Proceedings 2007 1(Suppl 1):S29
Clustering of related haplotypes in haplotype-based association mapping has the potential to improve power by reducing the degrees of freedom without sacrificing important information about the underlying gene...
Citation: BMC Proceedings 2007 1(Suppl 1):S27
Several recent papers have suggested that two-locus tests of association that incorporate gene × gene interaction can be more powerful than marginal, single-locus tests across a broad range of multilocus inter...
Citation: BMC Proceedings 2007 1(Suppl 1):S25
We performed linkage and family-based association analysis across chromosomes 1–22 in Replicates 1–5 of the Genetic Analysis Workshop 15 simulated data. Linkage analysis was performed using the Kong and Cox al...
Citation: BMC Proceedings 2007 1(Suppl 1):S23
Haplotype association analysis based on arbitrarily chosen markers might lower statistical power because of the larger number of degrees of freedom caused by irrelevant makers.
Citation: BMC Proceedings 2007 1(Suppl 1):S21
Rheumatoid arthritis (RA) is an autoimmune disease with a moderately strong genetic component. Previous linkage and candidate gene studies have identified several regions that predispose to RA, including the HLA-...
Citation: BMC Proceedings 2007 1(Suppl 1):S19
We examined the potential gene × gene interactions and gene × smoking interactions in rheumatoid arthritis (RA) using the candidate gene data sets provided by Genetic Analysis Workshop 15 Problem 2. The multif...
Citation: BMC Proceedings 2007 1(Suppl 1):S17
We analyzed a case-control data set for chromosome 18q from the Genetic Analysis Workshop 15 to detect susceptibility loci for rheumatoid arthritis (RA). A total number of 460 cases and 460 unaffected controls...
Citation: BMC Proceedings 2007 1(Suppl 1):S15
Rheumatoid arthritis (RA, MIM 180300) is a common and complex inflammatory disorder. The North American Rheumatoid Arthritis Consortium (NARAC) data, as part of the Genetic Analysis Workshop 15 data, consists ...
Citation: BMC Proceedings 2007 1(Suppl 1):S13
For Genetic Analysis Workshop 15 Problem 2, we organized data from several ongoing studies designed to identify genetic and environmental risk factors for rheumatoid arthritis. Data were derived from the North...
Citation: BMC Proceedings 2007 1(Suppl 1):S3
Citation: BMC Proceedings 2007 1(Suppl 1):S1
Citation Impact
0.74 – Cite Score
0.334 - Source Normalized Impact per Paper (SNIP)
0.35 - SCImago Journal Rank (SJR)
Usage
529,083 downloads
Social Media Impact
53 mentions
Speed
40 days from acceptance to publication
Citation Impact
1.80 - Cite Score
0.304 - Source Normalized Impact per Paper (SNIP)
0.347 - SCImago Journal Rank (SJR)
Usage
468,191 downloads
53 Altmetric mentions