| Erratum |
|
|
|
|
|
|
|
|
|
| Sample size requirements for indirect association studies of gene–environment interactions (G × E) |
|
|
|
|
|
|
|
|
|
| Improved correction for population stratification in genome‐wide association studies by identifying hidden population structures |
|
|
|
|
|
|
|
|
|
| Confronting complexity in late‐onset Alzheimer disease: application of two‐stage analysis approach addressing heterogeneity and epistasis |
|
|
|
|
|
|
|
|
|
| Examining the statistical properties of fine‐scale mapping in large‐scale association studies |
|
|
|
|
|
|
|
|
|
| Introduction to Genetic Analysis Workshop 15 summaries |
|
|
|
|
|
|
|
|
|
| Discussing gene-gene interaction: Warning — translating equations to English may result in Jabberwocky |
|
|
|
|
|
|
|
|
|
| Summary of contributions to GAW15 Group 13: candidate gene association studies |
|
|
|
|
|
|
|
|
|
| Issues in association mapping with high-density SNP data and diverse family structures |
|
|
|
|
|
|
|
|
|
| Using linkage and association to identify and model genetic effects: summary of GAW15 Group 4 |
|
|
|
|
|
|
|
|
|
| Data mining, neural nets, trees — Problems 2 and 3 of Genetic Analysis Workshop 15 |
|
|
|
|
|
|
|
|
|
| Gene by environment interactions |
|
|
|
|
|
|
|
|
|
| Model selection and Bayesian methods in statistical genetics: Summary of Group 11 contributions to Genetic Analysis Workshop 15 |
|
|
|
|
|
|
|
|
|
| Multiple testing in the genomics era: Findings from Genetic Analysis Workshop 15, Group 15 |
|
|
|
|
|
|
|
|
|
| Effect of linkage disequilibrium between markers in linkage and association analyses |
|
|
|
|
|
|
|
|
|
| Genome-wide association analyses of expression phenotypes |
|
|
|
|
|
|
|
|
|
| Summary of Genetic Analysis Workshop 15: Group 9 linkage analysis of the CEPH expression data |
|
|
|
|
|
|
|
|
|
| Linkage analyses of rheumatoid arthritis and related quantitative phenotypes: the GAW15 experience |
|
|
|
|
|
|
|
|
|
| Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data |
|
|
|
|
|
|
|
|
|
| Multistage designs in the genomic era: Providing balance in complex disease studies |
|
|
|
|
|
|
|
|
|
| Summary of contributions to GAW15 Group 16: Processing/normalization of expression traits |
|
|
|
|
|
|
|
|
|
| Genetic association with rheumatoid arthritis—Genetic Analysis Workshop 15: summary of contributions from Group 2 |
|
|
|
|
|
|
|
|
|
| Data mining of RNA expression and DNA genotype data: Presentation Group 5 contributions to Genetic Analysis Workshop 15 |
|
|
|
|
|
|
|
|
|
| Accounting for haplotype phase uncertainty in linkage disequilibrium estimation |
|
|
|
|
|
|
|
|
|
| Incorporation of covariates into multipoint linkage disequilibrium mapping in case‐control studies |
|
|
|
|
|
|
|
|
|
| A support vector machine approach for detecting gene‐gene interaction |
|
|
|
|
|
|
|
|
|
| Robust estimation and testing of haplotype effects in case‐control studies |
|
|
|
|
|
|
|
|
|
| Understanding the accuracy of statistical haplotype inference with sequence data of known phase |
|
|
|
|
|
|
✓ |
✓ |
African American (AA), European American (EA), mixed ancestry (AA and EA populations) |
| Pleiotropy and principal components of heritability combine to increase power for association analysis |
|
|
|
|
|
|
|
|
|
| A genomic imprinting test for ordinal traits in pedigree data |
|
|
|
|
|
|
|
|
|
| On transferability of genome‐wide tagSNPs |
|
|
|
|
|
|
|
|
|
| Population differences in the International Multi‐Centre ADHD Gene Project |
|
|
|
|
|
✓ |
|
|
Northern European populations; Northern Europeans; Northern European tag set |
| Empirical significance values for linkage analysis: trait simulation using posterior model distributions from MCMC oligogenic segregation analysis |
|
|
|
|
|
|
|
|
|
| Erratum |
|
|
|
|
|
|
|
|
|
| Inferential testing for linkage with GENEHUNTER‐MODSCORE: The impact of the pedigree structure on the null distribution of multipoint MOD scores |
|
|
|
|
|
|
|
|
|
| A principal components regression approach to multilocus genetic association studies |
|
|
|
|
|
|
|
|
|
| Abstracts from the Sixteenth Annual Meeting of the International Genetic Epidemiology Society |
|
|
|
|
|
|
|
|
|
| Ignoring temporal trends in genetic effects substantially reduces power of quantitative trait linkage analysis |
|
|
|
|
|
|
|
|
|
| Quantification and correction of bias in tagging SNPs caused by insufficient sample size and marker density by means of haplotype‐dropping |
|
|
|
|
|
|
|
|
|
| Missing phenotype data imputation in pedigree data analysis |
|
|
|
|
|
|
|
|
|
| Examining the effect of linkage disequilibrium between markers on the Type I error rate and power of nonparametric multipoint linkage analysis of two‐generation and multigenerational pedigrees in the |
|
|
|
|
|
|
|
|
|
| Detecting association using epistatic information |
|
|
|
|
|
|
|
|
|
| The power of two‐locus affected sib‐pair linkage analysis to detect interacting disease loci |
|
|
|
|
|
|
|
|
|
| Genetic heterogeneity is not as threatening as you might think |
|
|
|
|
|
|
|
|
|
| Hierarchical Bayes prioritization of marker associations from a genome‐wide association scan for further investigation |
|
|
|
|
|
|
|
|
|
| Haplotype inference using a Bayesian Hidden Markov model |
|
|
|
|
|
|
✓ |
✓ |
CEU and YRI |
| Permutation‐based adjustments for the significance of partial regression coefficients in microarray data analysis |
|
|
|
|
|
|
|
|
|
| Analysis of multiple SNPs in genetic association studies: comparison of three multi‐locus methods to prioritize and select SNPs |
|
|
|
|
|
|
✓ |
✓ |
Dutch |
| Efficient intermediate fine mapping: confidence set inference with likelihood ratio test statistic |
|
|
|
|
|
|
|
|
|
| Abstracts from the Fifteenth Annual Meeting of the International Genetic Epidemiology Society. St. Petersburg, Florida November 16–17, 2006 |
|
|
|
|
|
|
|
|
|
| Linear trend tests for case–control genetic association that incorporate random phenotype and genotype misclassification error |
|
|
|
|
|
|
|
|
|
| Methods for interaction analyses using family‐based case‐control data: conditional logistic regression versus generalized estimating equations |
|
|
|
|
|
|
|
|
|
| Including sampling and phenotyping costs into the optimization of two stage designs for genome wide association studies |
|
|
|
|
|
|
|
|
|
| Detecting haplotype effects in genomewide association studies |
|
|
|
|
|
|
|
|
|
| Testing association for markers on the X chromosome |
|
|
|
|
|
|
|
|
|
| Improving power in genome‐wide association studies: weights tip the scale |
|
|
|
|
|
|
|
|
|
| Optimal designs for two‐stage genome‐wide association studies |
|
|
|
|
|
|
|
|
|
| Powerful designs for genetic association studies that consider twins and sibling pairs with discordant genotypes |
|
|
|
|
|
|
|
|
|
| Quantitative trait association in parent offspring trios: Extension of case/pseudocontrol method and comparison of prospective and retrospective approaches |
|
|
|
|
|
|
|
|
|
| A hierarchical model for estimating significance levels of non‐parametric linkage statistics for large pedigrees |
|
|
|
|
|
|
|
|
|
| A novel method to express SNP‐based genetic heterogeneity, <b>Ψ</b>, and its use to measure linkage disequilibrium for multiple SNPs, <i>D<sub>g</sub></i>, and to estimate absolute maximum of haplotyp |
|
|
|
|
|
|
|
|
|
| Exploring causality via identification of SNPs or haplotypes responsible for a linkage signal |
|
|
|
|
|
|
|
|
|
| Power of genome‐wide association studies in the presence of interacting loci |
|
|
|
|
|
|
|
|
|
| Comparison of admixture and association mapping in admixed families |
|
|
|
|
|
|
|
|
|
| Sequential haplotype scan methods for association analysis |
|
|
|
|
|
|
|
|
|
| A dictionary model for haplotyping, genotype calling, and association testing |
|
|
|
|
|
|
|
|
|
| Ascertainment correction for Markov chain Monte Carlo segregation and linkage analysis of a quantitative trait |
|
|
|
|
|
|
|
|
|
| Incorporating covariates in mapping heterogeneous traits: a hierarchical model using empirical Bayes estimation |
|
|
|
|
|
|
|
|
|
| Genetic random effects model for family data with long‐term survivors: analysis of diabetic nephropathy in type 1 diabetes |
|
|
|
|
|
|
✓ |
✓ |
Finnish cohort; Finnish cohort |
| Improving estimates of genetic maps: a meta‐analysis‐based approach |
|
|
|
|
|
|
|
|
|
| A range of simple summary genome‐wide statistics for detecting genetic linkage using high density marker data |
|
|
|
|
|
|
|
|
|
| A new association test using haplotype similarity |
|
|
|
|
|
|
|
|
|
| Testing association in the presence of linkage — a powerful score for binary traits |
|
|
|
|
|
|
|
|
|
| Erratum: The tranmission disequilibrium test and imprinting effects test based on case‐parent pairs |
|
|
|
|
|
|
|
|
|
| An application of the patient rule‐induction method for evaluating the contribution of the <i>Apolipoprotein E</i> and <i>Lipoprotein Lipase</i> genes to predicting ischemic heart disease |
|
|
|
|
|
|
|
|
|
| Optimal selection of markers for validation or replication from genome‐wide association studies |
|
|
|
|
|
|
|
|
|
| Affected relative pairs and simultaneous search for two‐locus linkage in the presence of epistasis |
|
|
|
|
|
|
|
|
|
| Interpreting analyses of continuous covariates in affected sibling pair linkage studies |
|
|
|
|
|
|
|
|
|
| Testing association between disease and multiple SNPs in a candidate gene |
|
|
|
|
|
|
|
|
|
| Genetic model testing and statistical power in population‐based association studies of quantitative traits |
|
|
|
|
|
|
|
|
|
| On dichotomizing phenotypes in family‐based association tests: quantitative phenotypes are not always the optimal choice |
|
|
|
|
|
|
|
|
|
| Tag SNPs chosen from HapMap perform well in several population isolates |
|
|
|
|
|
|
|
|
|
| A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction |
|
|
|
|
|
|
|
|
|
| Weighted variance FBAT: a powerful method for including covariates in FBAT analyses |
|
|
|
|
|
|
|
|
|
| Heritability estimation of sex‐specific effects on human quantitative traits |
|
|
|
|
|
|
✓ |
✓ |
Hutterites |
| Haplotype uncertainty in association studies |
|
|
|
|
|
|
|
|
|
| Efficient multilocus association testing for whole genome association studies using localized haplotype clustering |
|
|
|
|
|
|
|
|
|
| Effects of single SNPs, haplotypes, and whole‐genome LD maps on accuracy of association mapping |
|
|
|
|
|
|
|
|
|
| Statistical methods for haplotype‐based matched case‐control association studies |
|
|
|
|
|
|
|
|
|
| Comprehensive linkage and linkage heterogeneity analysis of 4344 sibling pairs affected with hypertension from the Family Blood Pressure Program |
|
|
|
|
|
|
|
|
|
| Upward bias in odds ratio estimates from genome‐wide association studies |
|
|
|
|
|
|
|
|
|
| A variant of the myosin light chain kinase gene is associated with severe asthma in African Americans |
|
|
|
|
|
✓ |
|
|
European and African Americans |
| The transmission disequilibrium test and imprinting effects test based on case‐parent pairs |
|
|
|
|
|
|
|
|
|
| Evidence for association between multiple complement pathway genes and AMD |
|
|
|
|
|
|
|
|
|
| A partially linear tree‐based regression model for assessing complex joint gene–gene and gene–environment effects |
|
|
|
|
|
|
|
|
|
| A spatial probit model for fine‐scale mapping of disease genes |
|
|
|
|
|
|
|
|
|
| One degree of freedom for dominance in indirect association studies |
|
|
|
|
|
|
|
|
|
| Inference on haplotype/disease association using parent‐affected‐child data: the projection conditional on parental haplotypes method |
|
|
|
|
|
|
|
|
|
| A haplotype‐linkage analysis method for estimating recombination rates using dense SNP trio data |
|
|
|
|
|
|
|
|
|
| Type I error rates in association versus joint linkage/association tests in related individuals |
|
|
|
|
|
|
|
|
|