The Value of Statistical or Bioinformatics Annotation for Rare Variant Association With Quantitative Trait-Reference-Cited by-同舟云学术

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The Value of Statistical or Bioinformatics Annotation for Rare Variant Association With Quantitative Trait

Published:2013-07-08 Issue:7 Volume:37 Page:666-674
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Byrnes Andrea E.¹,Wu Michael C.¹,Wright Fred A.¹,Li Mingyao²,Li Yun¹³⁴

Affiliation:

1. Department of Biostatistics; University of North Carolina; Chapel Hill North Carolina

2. Department of Biostatistics and Epidemiology; University of Pennsylvania School of Medicine; Philadelphia Pennsylvania

3. Department of Genetics; University of North Carolina; Chapel Hill North Carolina

4. Department of Computer Science; University of North Carolina; Chapel Hill North Carolina

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.21747/fullpdf

Reference52 articles.

1. An integrated map of genetic variation from 1,092 human genomes;Abecasis;Nature,2012

2. Imputation of exome sequence variants into population-based samples and blood-cell-trait-associated loci in African Americans: NHLBI GO Exome Sequencing Project;Auer;Am J Hum Genet,2012

3. Comparison of methods and sampling designs to test for association between rare variants and quantitative traits;Bacanu;Genet Epidemiol,2011

4. A fast and noise-resilient approach to detect rare-variant associations with deep sequencing data for complex disorders;Cheung;Genet Epidemiol,2012

5. Multiple rare alleles contribute to low plasma levels of HDL cholesterol;Cohen;Science,2004

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2. A penalized linear mixed model with generalized method of moments estimators for complex phenotype prediction;Bioinformatics;2022-10-07

3. Recent advances and challenges of rare variant association analysis in the biobank sequencing era;Frontiers in Genetics;2022-10-06

4. A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data;Briefings in Bioinformatics;2022-06-02

5. A Penalized Linear Mixed Model with Generalized Method of Moments for Complex Phenotype Prediction;2021-10-13

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