<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>GWAS summary statistics of All of Us</titl><IDNo agency="DOI">doi:10.7910/DVN/FAWEQK</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2023-06-13</distDate></distStmt><verStmt source="archive"><version date="2023-09-06" type="RELEASED">1</version></verStmt><biblCit>Zhang, Haoyu, 2023, "GWAS summary statistics of All of Us", https://doi.org/10.7910/DVN/FAWEQK, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>GWAS summary statistics of All of Us</titl><IDNo agency="DOI">doi:10.7910/DVN/FAWEQK</IDNo></titlStmt><rspStmt><AuthEnty affiliation="National Cancer Institute">Zhang, Haoyu</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="National Cancer Institute" email="haoyu.zhang2@nih.gov">Zhang, Haoyu</contact><depositr>Zhang, Haoyu</depositr><depDate>2023-06-13</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/FAWEQK"/></citation><stdyInfo><subject><keyword xml:lang="en">Medicine, Health and Life Sciences</keyword><keyword>Genome-wide association studies</keyword></subject><abstract date="2023-06-13">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).</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Zhang, Haoyu, et al. "A new method for multiancestry polygenic prediction improves performance across diverse populations" Nature Genetics (in Press).</titl></titlStmt><biblCit>Zhang, Haoyu, et al. "A new method for multiancestry polygenic prediction improves performance across diverse populations" Nature Genetics (in Press).</biblCit></citation></relPubl></othrStdyMat></stdyDscr><otherMat ID="f7172694" URI="https://dataverse.harvard.edu/api/access/datafile/7172694" level="datafile"><labl>AFR_bmi.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7172693" URI="https://dataverse.harvard.edu/api/access/datafile/7172693" level="datafile"><labl>AFR_height.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7172696" URI="https://dataverse.harvard.edu/api/access/datafile/7172696" level="datafile"><labl>AMR_bmi.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7172695" URI="https://dataverse.harvard.edu/api/access/datafile/7172695" level="datafile"><labl>AMR_height.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7172699" URI="https://dataverse.harvard.edu/api/access/datafile/7172699" level="datafile"><labl>data_dictionary.xlsx</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f7172698" URI="https://dataverse.harvard.edu/api/access/datafile/7172698" level="datafile"><labl>EUR_bmi.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7172697" URI="https://dataverse.harvard.edu/api/access/datafile/7172697" level="datafile"><labl>EUR_height.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat></codeBook>