{"@context":{"@language":"en","@vocab":"https://schema.org/","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","cr":"http://mlcommons.org/croissant/","rai":"http://mlcommons.org/croissant/RAI/","data":{"@id":"cr:data","@type":"@json"},"dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","examples":{"@id":"cr:examples","@type":"@json"},"extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform","wd":"https://www.wikidata.org/wiki/"},"@type":"sc:Dataset","conformsTo":"http://mlcommons.org/croissant/1.0","name":"GWAS summary statistics of All of Us","url":"https://doi.org/10.7910/DVN/FAWEQK","creator":[{"@type":"Person","givenName":"Haoyu","familyName":"Zhang","affiliation":{"@type":"Organization","name":"National Cancer Institute"},"name":"Zhang, Haoyu"}],"description":"This dataset includes GWAS (Genome-Wide Association Studies) summary statistics for two traits across three diverse ancestries. These traits and ancestries form part of the study outlined in the manuscript: \"A new method for multiancestry polygenic prediction improves performance across diverse populations\". The research manuscript can be accessed via this link: https://www.biorxiv.org/content/10.1101/2022.03.24.485519v5.abstract. The two traits explored in this dataset include height and body mass index (bmi). These traits were examined across three ancestral backgrounds: African American (AFR), Latino (AMR), and European (EUR).","keywords":["Medicine, Health and Life Sciences","Genome-wide association studies"],"license":"http://creativecommons.org/publicdomain/zero/1.0","datePublished":"2023-06-13","dateModified":"2023-09-06","includedInDataCatalog":{"@type":"DataCatalog","name":"Harvard Dataverse","url":"https://dataverse.harvard.edu"},"publisher":{"@type":"Organization","name":"Harvard Dataverse"},"version":"1.1","citeAs":"@data{DVN/FAWEQK_2023,author = {Zhang, Haoyu},publisher = {Harvard Dataverse},title = {GWAS summary statistics of All of Us},year = {2023},url = {https://doi.org/10.7910/DVN/FAWEQK}}","citation":[{"@type":"CreativeWork","name":"Zhang, Haoyu, et al. \"A new method for multiancestry polygenic prediction improves performance across diverse populations\" Nature Genetics (in Press)."}],"distribution":[{"@type":"cr:FileObject","@id":"data_dictionary.xlsx","name":"data_dictionary.xlsx","encodingFormat":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","md5":"9a8f228c75c3daee6de8ee5e46cf79f4","contentSize":"9479","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/7172699"},{"@type":"cr:FileObject","@id":"AFR/AFR_bmi.txt","name":"AFR_bmi.txt","encodingFormat":"text/plain","md5":"661d28b0f30d4c749ce4805fbd7b7f03","contentSize":"65536385","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/7172694"},{"@type":"cr:FileObject","@id":"AFR/AFR_height.txt","name":"AFR_height.txt","encodingFormat":"text/plain","md5":"26f08097378805f6b854e04a2dd01bf7","contentSize":"65626593","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/7172693"},{"@type":"cr:FileObject","@id":"AMR/AMR_bmi.txt","name":"AMR_bmi.txt","encodingFormat":"text/plain","md5":"6c1e0e52a10b940b0a584ee6514a77a2","contentSize":"52384936","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/7172696"},{"@type":"cr:FileObject","@id":"AMR/AMR_height.txt","name":"AMR_height.txt","encodingFormat":"text/plain","md5":"db3933b8020d8d1af6322d4168122960","contentSize":"52388630","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/7172695"},{"@type":"cr:FileObject","@id":"EUR/EUR_bmi.txt","name":"EUR_bmi.txt","encodingFormat":"text/plain","md5":"a10d4d53b5b170ee437ffa94e308a35f","contentSize":"48379242","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/7172698"},{"@type":"cr:FileObject","@id":"EUR/EUR_height.txt","name":"EUR_height.txt","encodingFormat":"text/plain","md5":"118097862753282af8d6854c75f7c143","contentSize":"48394962","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/7172697"}]}