GWAS summary statistics of 23andMe non-clinical traits
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset includes GWAS (Genome-Wide Association Studies) summary statistics for top 10,000 genetic markers associated with three non-clinical traits across five diverse ancestries. These traits and ancestries form part of the study outlined in the manuscript: 'Novel Methods for Multi-Ancestry Polygenic Prediction and their Evaluations in 5.1 Million Individuals of Diverse Ancestry'. The research manuscript can be accessed via this link: https://www.biorxiv.org/content/10.1101/2022.03.24.485519v5.abstract.The non-clinical traits explored in this dataset include height, sing back musical note (the ability to replicate a musical note), and morning person. These traits were examined across five ancestral backgrounds: African American (AFR), Native American (AMR), European (EUR), East Asian (EAS), and South Asian (SAS)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Genome-wide association studies"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset includes GWAS (Genome-Wide Association Studies) summary statistics for top 10,000 genetic markers associated with three non-clinical traits across five diverse ancestries. These traits and ancestries form part of the study outlined in the manuscript: 'Novel Methods for Multi-Ancestry Polygenic Prediction and their Evaluations in 5.1 Million Individuals of Diverse Ancestry'. The research manuscript can be accessed via this link: https://www.biorxiv.org/content/10.1101/2022.03.24.485519v5.abstract.The non-clinical traits explored in this dataset include height, sing back musical note (the ability to replicate a musical note), and morning person. These traits were examined across five ancestral backgrounds: African American (AFR), Native American (AMR), European (EUR), East Asian (EAS), and South Asian (SAS)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset includes GWAS (Genome-Wide Association Studies) summary statistics for top 10,000 genetic markers associated with three non-clinical traits across five diverse ancestries. These traits and ancestries form part of the study outlined in the manuscript: 'Novel Methods for Multi-Ancestry Polygenic Prediction and their Evaluations in 5.1 Million Individuals of Diverse Ancestry'. The research manuscript can be accessed via this link: https://www.biorxiv.org/content/10.1101/2022.03.24.485519v5.abstract.The non-clinical traits explored in this dataset include height, sing back musical note (the ability to replicate a musical note), and morning person. These traits were examined across five ancestral backgrounds: African American (AFR), Native American (AMR), European (EUR), East Asian (EAS), and South Asian (SAS)
Genome-wide association studies