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Methods and results from the genome-wide association group at GAW20

Overview of attention for article published in BMC Genomic Data, September 2018
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Title
Methods and results from the genome-wide association group at GAW20
Published in
BMC Genomic Data, September 2018
DOI 10.1186/s12863-018-0649-0
Pubmed ID
Authors

Xuexia Wang, Felix Boekstegers, Regina Brinster

Abstract

This paper summarizes the contributions from the Genome-wide Association Study group (GWAS group) of the GAW20. The GWAS group contributions focused on topics such as association tests, phenotype imputation, and application of empirical kinships. The goals of the GWAS group contributions were varied. A real or a simulated data set based on the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study was employed by different methods. Different outcomes and covariates were considered, and quality control procedures varied throughout the contributions. The consideration of heritability and family structure played a major role in some contributions. The inclusion of family information and adaptive weights based on data were found to improve power in genome-wide association studies. It was proven that gene-level approaches are more powerful than single-marker analysis. Other contributions focused on the comparison between pedigree-based kinship and empirical kinship matrices, and investigated similar results in heritability estimation, association mapping, and genomic prediction. A new approach for linkage mapping of triglyceride levels was able to identify a novel linkage signal. This summary paper reports on promising statistical approaches and findings of the members of the GWAS group applied on real and simulated data which encompass the current topics of epigenetic and pharmacogenomics.

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2018.
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#20,663,600
of 25,385,509 outputs
Outputs from BMC Genomic Data
#861
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Outputs of similar age
#273,047
of 350,978 outputs
Outputs of similar age from BMC Genomic Data
#18
of 28 outputs
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