Literature DB >> 30049619

fGWAS: An R package for genome-wide association analysis with longitudinal phenotypes.

Zhong Wang1, Nating Wang2, Rongling Wu3, Zuoheng Wang4.   

Abstract

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Year:  2018        PMID： 30049619      PMCID： PMC6179436          DOI： 10.1016/j.jgg.2018.06.006

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN： 1673-8527            Impact factor:   4.275


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  19 in total

1.  Structured antedependence models for genetic analysis of repeated measures on multiple quantitative traits.

Authors:  Florence Jaffrézic; Robin Thompson; William G Hill
Journal:  Genet Res       Date:  2003-08       Impact factor: 1.588

Review 2.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

3.  A discussion of gene-gene and gene-environment interactions and longitudinal genetic analysis of complex traits.

Authors:  Ruzong Fan; Paul S Albert; Enrique F Schisterman
Journal:  Stat Med       Date:  2012-09-28       Impact factor: 2.373

4.  Fast linear mixed model computations for genome-wide association studies with longitudinal data.

Authors:  Karolina Sikorska; Fernando Rivadeneira; Patrick J F Groenen; Albert Hofman; André G Uitterlinden; Paul H C Eilers; Emmanuel Lesaffre
Journal:  Stat Med       Date:  2012-08-22       Impact factor: 2.373

5.  A novel method for analyzing genetic association with longitudinal phenotypes.

Authors:  Douglas Londono; Kuo-mei Chen; Anthony Musolf; Ruixue Wang; Tong Shen; January Brandon; John A Herring; Carol A Wise; Hong Zou; Meilei Jin; Lei Yu; Stephen J Finch; Tara C Matise; Derek Gordon
Journal:  Stat Appl Genet Mol Biol       Date:  2013-03-13

6.  BAYESIAN GROUP LASSO FOR NONPARAMETRIC VARYING-COEFFICIENT MODELS WITH APPLICATION TO FUNCTIONAL GENOME-WIDE ASSOCIATION STUDIES.

Authors:  Jiahan Li; Zhong Wang; Runze Li; Rongling Wu
Journal:  Ann Appl Stat       Date:  2015-06       Impact factor: 2.083

7.  Longitudinal SNP-set association analysis of quantitative phenotypes.

Authors:  Zhong Wang; Ke Xu; Xinyu Zhang; Xiaowei Wu; Zuoheng Wang
Journal:  Genet Epidemiol       Date:  2016-11-09       Impact factor: 2.135

8.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination.

Authors:  Greta Lee Splansky; Diane Corey; Qiong Yang; Larry D Atwood; L Adrienne Cupples; Emelia J Benjamin; Ralph B D'Agostino; Caroline S Fox; Martin G Larson; Joanne M Murabito; Christopher J O'Donnell; Ramachandran S Vasan; Philip A Wolf; Daniel Levy
Journal:  Am J Epidemiol       Date:  2007-03-19       Impact factor: 4.897

9.  The NHGRI GWAS Catalog, a curated resource of SNP-trait associations.

Authors:  Danielle Welter; Jacqueline MacArthur; Joannella Morales; Tony Burdett; Peggy Hall; Heather Junkins; Alan Klemm; Paul Flicek; Teri Manolio; Lucia Hindorff; Helen Parkinson
Journal:  Nucleic Acids Res       Date:  2013-12-06       Impact factor: 16.971

10.  SHAVE: shrinkage estimator measured for multiple visits increases power in GWAS of quantitative traits.

Authors:  Osorio D Meirelles; Jun Ding; Toshiko Tanaka; Serena Sanna; Hsih-Te Yang; Dawood B Dudekula; Francesco Cucca; Luigi Ferrucci; Goncalo Abecasis; David Schlessinger
Journal:  Eur J Hum Genet       Date:  2012-10-24       Impact factor: 4.246
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