Literature DB >> 26243017

NAM: association studies in multiple populations.

Alencar Xavier1, Shizhong Xu2, William M Muir3, Katy Martin Rainey1.   

Abstract

MOTIVATION: Mixed linear models provide important techniques for performing genome-wide association studies. However, current models have pitfalls associated with their strong assumptions. Here, we propose a new implementation designed to overcome some of these pitfalls using an empirical Bayes algorithm.
RESULTS: Here we introduce NAM, an R package that allows user to take into account prior information regarding population stratification to relax the linkage phase assumption of current methods. It allows markers to be treated as a random effect to increase the resolution, and uses a sliding-window strategy to increase power and avoid double fitting markers into the model.
AVAILABILITY AND IMPLEMENTATION: NAM is an R package available in the CRAN repository. It can be installed in R by typing install.packages ('NAM'). CONTACT: krainey@purdue.edu. SUPPLEMENTARY INFORMATION: Supplementary date are available at Bioinformatics online.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 26243017     DOI: 10.1093/bioinformatics/btv448

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  21 in total

Review 1.  Walking through the statistical black boxes of plant breeding.

Authors:  Alencar Xavier; William M Muir; Bruce Craig; Katy Martin Rainey
Journal:  Theor Appl Genet       Date:  2016-07-19       Impact factor: 5.699

2.  Highly heritable and functionally relevant breed differences in dog behaviour.

Authors:  Evan L MacLean; Noah Snyder-Mackler; Bridgett M vonHoldt; James A Serpell
Journal:  Proc Biol Sci       Date:  2019-10-02       Impact factor: 5.349

3.  Development of a Multiparent Population for Genetic Mapping and Allele Discovery in Six-Row Barley.

Authors:  Alex Hemshrot; Ana M Poets; Priyanka Tyagi; Li Lei; Corey K Carter; Candice N Hirsch; Lin Li; Gina Brown-Guedira; Peter L Morrell; Gary J Muehlbauer; Kevin P Smith
Journal:  Genetics       Date:  2019-07-29       Impact factor: 4.562

4.  High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population.

Authors:  Christopher M Montes; Carolyn Fox; Álvaro Sanz-Sáez; Shawn P Serbin; Etsushi Kumagai; Matheus D Krause; Alencar Xavier; James E Specht; William D Beavis; Carl J Bernacchi; Brian W Diers; Elizabeth A Ainsworth
Journal:  Genetics       Date:  2022-05-31       Impact factor: 4.402

5.  Epistatic interaction between Rhg1-a and Rhg2 in PI 90763 confers resistance to virulent soybean cyst nematode populations.

Authors:  Pawan Basnet; Clinton G Meinhardt; Mariola Usovsky; Jason D Gillman; Trupti Joshi; Qijian Song; Brian Diers; Melissa G Mitchum; Andrew M Scaboo
Journal:  Theor Appl Genet       Date:  2022-04-05       Impact factor: 5.574

6.  Genetic relatedness of previously Plant-Variety-Protected commercial maize inbreds.

Authors:  Travis J Beckett; A Jason Morales; Klaus L Koehler; Torbert R Rocheford
Journal:  PLoS One       Date:  2017-12-13       Impact factor: 3.240

7.  The Beavis Effect in Next-Generation Mapping Panels in Drosophila melanogaster.

Authors:  Elizabeth G King; Anthony D Long
Journal:  G3 (Bethesda)       Date:  2017-06-07       Impact factor: 3.154

8.  Genetic Architecture of Phenomic-Enabled Canopy Coverage in Glycine max.

Authors:  Alencar Xavier; Benjamin Hall; Anthony A Hearst; Keith A Cherkauer; Katy M Rainey
Journal:  Genetics       Date:  2017-03-31       Impact factor: 4.562

9.  Sources of Resistance to Common Bacterial Blight and Charcoal Rot Disease for the Production of Mesoamerican Common Beans in the Southern United States.

Authors:  Daniel Ambachew; Jacqueline Joshua; Margaret T Mmbaga; Matthew W Blair
Journal:  Plants (Basel)       Date:  2021-05-17

10.  Assessing Predictive Properties of Genome-Wide Selection in Soybeans.

Authors:  Alencar Xavier; William M Muir; Katy Martin Rainey
Journal:  G3 (Bethesda)       Date:  2016-08-09       Impact factor: 3.154

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