An evolutionary framework for association testing in resequencing studies.
about
Computational and statistical approaches to analyzing variants identified by exome sequencingFamily-based association tests for sequence data, and comparisons with population-based association tests.Prevalence estimation for monogenic autosomal recessive diseases using population-based genetic data.The impact of rare and low-frequency genetic variants in common diseaseMind the dbGAP: the application of data mining to identify biological mechanisms.GWAS to Sequencing: Divergence in Study Design and AnalysisFinding disease variants in Mendelian disorders by using sequence data: methods and applications.Association tests for rare and common variants based on genotypic and phenotypic measures of similarity between individuals.Comparison of statistical approaches to rare variant analysis for quantitative traits.A unified framework for detecting rare variant quantitative trait associations in pedigree and unrelated individuals via sequence data.Comparison of similarity-based tests and pooling strategies for rare variantsA hybrid likelihood model for sequence-based disease association studies.Properties and modeling of GWAS when complex disease risk is due to non-complementing, deleterious mutations in genes of large effect.Population genetic simulations of complex phenotypes with implications for rare variant association testsBayesian detection of causal rare variants under posterior consistencyCombined genotype and haplotype tests for region-based association studies.A general framework for detecting disease associations with rare variants in sequencing studies.Study designs for identification of rare disease variants in complex diseases: the utility of family-based designsHost genes important to HIV replication and evolution.A powerful test for multiple rare variants association studies that incorporates sequencing qualities.Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets.Haplotype-based methods for detecting uncommon causal variants with common SNPsQuantitative trait locus analysis for next-generation sequencing with the functional linear models.Smoothed functional principal component analysis for testing association of the entire allelic spectrum of genetic variationPopulation genetics of rare variants and complex diseases.Selection and explosive growth alter genetic architecture and hamper the detection of causal rare variants.A unified mixed-effects model for rare-variant association in sequencing studies.A stochastic inference of de novo CNV detection and association test in multiplex schizophrenia families.Incorporating model uncertainty in detecting rare variants: the Bayesian risk indexEvaluating empirical bounds on complex disease genetic architecture.Hierarchical generalized linear models for multiple groups of rare and common variants: jointly estimating group and individual-variant effects.Multiple comparisons in genetic association studies: a hierarchical modeling approachMarbled inflation from population structure in gene-based association studies with rare variants.An exponential combination procedure for set-based association tests in sequencing studies.
P2860
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P2860
An evolutionary framework for association testing in resequencing studies.
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
An evolutionary framework for association testing in resequencing studies.
@ast
An evolutionary framework for association testing in resequencing studies.
@en
type
label
An evolutionary framework for association testing in resequencing studies.
@ast
An evolutionary framework for association testing in resequencing studies.
@en
prefLabel
An evolutionary framework for association testing in resequencing studies.
@ast
An evolutionary framework for association testing in resequencing studies.
@en
P2860
P1433
P1476
An evolutionary framework for association testing in resequencing studies
@en
P2093
Paul J Rathouz
P2860
P304
P356
10.1371/JOURNAL.PGEN.1001202
P577
2010-11-11T00:00:00Z