Literature DB >> 22969024

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

Ruzong Fan1, Paul S Albert, Enrique F Schisterman.   

Abstract

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Year:  2012        PMID： 22969024      PMCID： PMC3458189          DOI： 10.1002/sim.5495

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


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  24 in total

1.  Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.

Authors:  Leah E Mechanic; Huann-Sheng Chen; Christopher I Amos; Nilanjan Chatterjee; Nancy J Cox; Rao L Divi; Ruzong Fan; Emily L Harris; Kevin Jacobs; Peter Kraft; Suzanne M Leal; Kimberly McAllister; Jason H Moore; Dina N Paltoo; Michael A Province; Erin M Ramos; Marylyn D Ritchie; Kathryn Roeder; Daniel J Schaid; Matthew Stephens; Duncan C Thomas; Clarice R Weinberg; John S Witte; Shunpu Zhang; Sebastian Zöllner; Eric J Feuer; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2011-12-06       Impact factor: 2.135

2.  Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.

Authors:  Marylyn D Ritchie; Lance W Hahn; Jason H Moore
Journal:  Genet Epidemiol       Date:  2003-02       Impact factor: 2.135

3.  Exploration of gene-gene interaction effects using entropy-based methods.

Authors:  Changzheng Dong; Xun Chu; Ying Wang; Yi Wang; Li Jin; Tieliu Shi; Wei Huang; Yixue Li
Journal:  Eur J Hum Genet       Date:  2007-10-31       Impact factor: 4.246

4.  Penalized logistic regression for detecting gene interactions.

Authors:  Mee Young Park; Trevor Hastie
Journal:  Biostatistics       Date:  2007-04-11       Impact factor: 5.899

5.  Who's afraid of epistasis?

Authors:  W N Frankel; N J Schork
Journal:  Nat Genet       Date:  1996-12       Impact factor: 38.330

6.  Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.

Authors:  M D Ritchie; L W Hahn; N Roodi; L R Bailey; W D Dupont; F F Parl; J H Moore
Journal:  Am J Hum Genet       Date:  2001-06-11       Impact factor: 11.025

7.  Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the framingham heart study.

Authors:  D Levy; A L DeStefano; M G Larson; C J O'Donnell; R P Lifton; H Gavras; L A Cupples; R H Myers
Journal:  Hypertension       Date:  2000-10       Impact factor: 10.190

Review 8.  Epistasis and its implications for personal genetics.

Authors:  Jason H Moore; Scott M Williams
Journal:  Am J Hum Genet       Date:  2009-09       Impact factor: 11.025

9.  Comparison of longitudinal variance components and regression-based approaches for linkage detection on chromosome 17 for systolic blood pressure.

Authors:  Mariza de Andrade; Curtis Olswold
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

10.  Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases.

Authors:  Marylyn D Ritchie; Bill C White; Joel S Parker; Lance W Hahn; Jason H Moore
Journal:  BMC Bioinformatics       Date:  2003-07-07       Impact factor: 3.169
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  7 in total

1.  Classification and Clustering Methods for Multiple Environmental Factors in Gene-Environment Interaction: Application to the Multi-Ethnic Study of Atherosclerosis.

Authors:  Yi-An Ko; Bhramar Mukherjee; Jennifer A Smith; Sharon L R Kardia; Matthew Allison; Ana V Diez Roux
Journal:  Epidemiology       Date:  2016-11       Impact factor: 4.822

2.  Novel likelihood ratio tests for screening gene-gene and gene-environment interactions with unbalanced repeated-measures data.

Authors:  Yi-An Ko; Paramita Saha-Chaudhuri; Sung Kyun Park; Pantel Steve Vokonas; Bhramar Mukherjee
Journal:  Genet Epidemiol       Date:  2013-06-24       Impact factor: 2.135

3.  Longitudinal association analysis of quantitative traits.

Authors:  Ruzong Fan; Yiwei Zhang; Paul S Albert; Aiyi Liu; Yuanjia Wang; Momiao Xiong
Journal:  Genet Epidemiol       Date:  2012-09-10       Impact factor: 2.135

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

Authors:  Zhong Wang; Nating Wang; Rongling Wu; Zuoheng Wang
Journal:  J Genet Genomics       Date:  2018-07-10       Impact factor: 4.275

Review 5.  Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.

Authors:  Fabiana F Moreira; Hinayah R Oliveira; Jeffrey J Volenec; Katy M Rainey; Luiz F Brito
Journal:  Front Plant Sci       Date:  2020-05-26       Impact factor: 5.753

6.  Interaction analyses based on growth parameters of GWAS between Escherichia coli and Staphylococcus aureus.

Authors:  Yajing Liang; Beibei Li; Qi Zhang; Shilong Zhang; Xiaoqing He; Libo Jiang; Yi Jin
Journal:  AMB Express       Date:  2021-03-01       Impact factor: 3.298

7.  Longitudinal linear combination test for gene set analysis.

Authors:  Elham Khodayari Moez; Morteza Hajihosseini; Jeffrey L Andrews; Irina Dinu
Journal:  BMC Bioinformatics       Date:  2019-12-10       Impact factor: 3.169
  7 in total

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