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Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS
Haoran Xue, Chong Wu,
Wei Pan
Statistics (Twin Cities)
Biostatistics
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Article
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peer-review
1
Scopus citations
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Medicine & Life Sciences
Genome-Wide Association Study
100%
Psychological Power
90%
Single Nucleotide Polymorphism
33%
Datasets
25%
Schizophrenia
12%
Multifactorial Inheritance
9%
Linkage Disequilibrium
9%
Alzheimer Disease
6%
Genome
5%
Lipids
5%
Weights and Measures
5%
Costs and Cost Analysis
4%