Statistical analysis strategies for association studies involving rare variants. - Wikidata - wikimedia - TriplyDB

Statistical analysis strategies for association studies involving rare variants.

Statistical analysis strategies for association studies involving rare variants.

http://www.wikidata.org/entity/Q37799723

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Identification of IGF1, SLC4A4, WWOX, and SFMBT1 as hypertension susceptibility genes in Han Chinese with a genome-wide gene-based association study Human genetics and genomics a decade after the release of the draft sequence of the human genome ESPRESSO: taking into account assessment errors on outcome and exposures in power analysis for association studies Cancer pharmacogenomics: strategies and challenges Comprehensive evaluation of imputation performance in African Americans Statistical analysis for genome-wide association study Annotating individual human genomes Hidradenitis suppurativa: viewpoint on clinical phenotyping, pathogenesis and novel treatments Computational and statistical approaches to analyzing variants identified by exome sequencing On the association of common and rare genetic variation influencing body mass index: a combined SNP and CNV analysis Evidence for the role of EPHX2 gene variants in anorexia nervosa Combining family- and population-based imputation data for association analysis of rare and common variants in large pedigrees Progress in methods for rare variant association Gene-based rare allele analysis identified a risk gene of Alzheimer's disease Single Nucleotide Polymorphism (SNP) Detection and Genotype Calling from Massively Parallel Sequencing (MPS) Data Gene-environment interactions in genome-wide association studies: current approaches and new directions Advances in the genetic dissection of plant cell walls: tools and resources available in Miscanthus Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world Integrating EMR-linked and in vivo functional genetic data to identify new genotype-phenotype associations A novel genome-information content-based statistic for genome-wide association analysis designed for next-generation sequencing data In Silico Functional Annotation of Genomic Variation.Determination of genotype combinations that can predict the outcome of the treatment of alcohol dependence using the 5-HT(3) antagonist ondansetron.Fine-scale patterns of population stratification confound rare variant association tests.Optimum designs for next-generation sequencing to discover rare variants for common complex disease.Weighted pedigree-based statistics for testing the association of rare variants Multiple genetic variant association testing by collapsing and kernel methods with pedigree or population structured data Detecting genomic clustering of risk variants from sequence data: cases versus controls.Regularized rare variant enrichment analysis for case-control exome sequencing data.Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data.GrabBlur--a framework to facilitate the secure exchange of whole-exome and -genome SNV data using VCF files.Methods for collapsing multiple rare variants in whole-genome sequence data.Identifying rare and common disease associated variants in genomic data using Parkinson's disease as a model.Whole genome sequencing data from pedigrees suggests linkage disequilibrium among rare variants created by population admixture.Rare variant analysis of blood pressure phenotypes in the Genetic Analysis Workshop 18 whole genome sequencing data using sequence kernel association test.Adaptive combination of P-values for family-based association testing with sequence data Region-Based Association Test for Familial Data under Functional Linear Models Generation of sequence-based data for pedigree-segregating Mendelian or Complex traits.Rare variants analysis using penalization methods for whole genome sequence data.A new strategy for enhancing imputation quality of rare variants from next-generation sequencing data via combining SNP and exome chip data.Detecting rare variants for quantitative traits using nuclear families.

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Statistical analysis strategies for association studies involving rare variants.

http://www.wikidata.org/entity/Q37799723

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 13 October 2010

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Statistical analysis strategies for association studies involving rare variants.

@en

Statistical analysis strategies for association studies involving rare variants.

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type

label

Statistical analysis strategies for association studies involving rare variants.

@en

Statistical analysis strategies for association studies involving rare variants.

@nl

prefLabel

Statistical analysis strategies for association studies involving rare variants.

@en

Statistical analysis strategies for association studies involving rare variants.

@nl

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Nature Reviews Genetics

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Statistical analysis strategies for association studies involving rare variants.

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Ali Torkamani

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Nicholas J Schork

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Ondrej Libiger

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Vikas Bansal

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P2860

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

The diploid genome sequence of an individual human

Analysis of genetic inheritance in a family quartet by whole-genome sequencing

Finding the missing heritability of complex diseases

Multiple Rare Alleles Contribute to Low Plasma Levels of HDL Cholesterol

Are rare variants responsible for susceptibility to complex diseases?

Gene ontology: tool for the unification of biology

Cytoscape: a software environment for integrated models of biomolecular interaction networks

TRANSFAC and its module TRANSCompel: transcriptional gene regulation in eukaryotes

Functional impact of global rare copy number variation in autism spectrum disorders

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scholarly article

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10.1038/NRG2867

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11

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