GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing

Genome-wide association studies (GWAS) have made impactful discoveries for complex diseases, often by amassing very large sample sizes. Yet, GWAS of many diseases remain underpowered, especially for non-European ancestries. One cost-effective approach to increase sample size is to combine existing c...

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Vydané v:	Communications biology Ročník 5; číslo 1; s. 806 - 9
Hlavní autori:	Mathur, Ravi, Fang, Fang, Gaddis, Nathan, Hancock, Dana B., Cho, Michael H., Hokanson, John E., Bierut, Laura J., Lutz, Sharon M., Young, Kendra, Smith, Albert V., Silverman, Edwin K., Page, Grier P., Johnson, Eric O.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 11.08.2022 Nature Publishing Group Nature Portfolio
Predmet:	45/43 631/114 631/208/205/2138 Biomedical and Life Sciences Computer applications Genome-wide association studies Genome-Wide Association Study - methods Genomes Genotype Genotypes Genotyping Life Sciences Phenotype Precision medicine Sample Size Single-nucleotide polymorphism Whole genome sequencing Whole Genome Sequencing - methods
ISSN:	2399-3642, 2399-3642
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