Data for paper: Sharapov et al (2025) "A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins" (Discovery GWAMA, N=7540)

The dataset contains results of genome-wide association study of human blood plasma glycome. The TPNG_GWAMA_disc.tar.gz contains summary statistics for 117 glycome traits from the discovery GWAMA (Genome-Wide Association Meta-Analysis) conducted on participants, totaling 7,540 individuals. The 117 files contain association summary statistics for 117 glycome traits, of which 36 were directly measured by UHPLC technology and 81 were derived glycome traits. Funding The work of S.Sh., A.T., D.M., A.S., Y.S.A. was supported by the Research Program at the Moscow State University (MSU) Institute for Artificial Intelligence. The study was conducted using the UK Biobank resource under application #59345. The work of E.E., Y.A.T was supported by the budget project of the Institute of Cytology and Genetics FWNR-2022-0020. European Community’s Seventh Framework Programme funded project PainOmics (602736). TwinsUK is funded by the Wellcome Trust, Medical Research Council, Versus Arthritis, European Union Horizon 2020, Chronic Disease Research Foundation (CDRF), Zoe Ltd and the National Institute for Health Research (NIHR) Clinical Research Network (CRN) and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London. The TwinsUK Study was approved by London-Westminster Research Ethics Committee (REC reference EC04/015), and Guy’s and St Thomas’ NHS Foundation Trust Research and Development (R&D). The TwinsUK BioBank was approved by the HRA - Liverpool East Research Ethics Committee (REC reference 19/NW/0187), IRAS ID 258513. Glycan analysis performed in Genos was supported by Horizon Europe grants GlycanSwitch (ERC Synergy grant # 101071386), INITIALISE (grant # 101094099) and SynHealth (grant #101159018). All participants provide written, informed consent. We thank Toma Keser, Mirna Šimurina, Marija Vilaj, Jerko Štambuk, Ivan Gudelj, Thomas S. Klarić, Jasminka Krištić, Jelena Šimunović, Julija Jurić, Ana Momčilović, Najda Rudman, and Maja Hanić for their assistance with glycan analysis. Headers rs_id - dbSNP ID. chr - Chromosome number where the SNP is located. bp - Base pair position of the SNP on the chromosome (build GRCh37/hg19). ea - Effect allele. ra - Reference allele. eaf - Effect allele frequency. af_ref - Frequency of the reference allele. beta - Effect size estimate. se - Standard error of the effect size estimate. p - P-value for the association test. n - Sample size used in the analysis. z - Z-score for the association test. info - Imputation information score.本数据集收录人类血浆糖组全基因组关联分析（Genome-Wide Association Study, GWAS）的研究结果。 TPNG_GWAMA_disc.tar.gz 文件包含针对117个糖组性状的汇总统计数据，这些数据来自对总计7540名受试者开展的发现集全基因组关联荟萃分析（Genome-Wide Association Meta-Analysis, GWAMA）。 该117个文件涵盖117个糖组性状的关联分析汇总统计数据，其中36个性状通过超高效液相色谱（Ultra High Performance Liquid Chromatography, UHPLC）技术直接测定，剩余81个为衍生糖组性状。 资助说明 S.Sh.、A.T.、D.M.、A.S.、Y.S.A. 的研究工作得到莫斯科国立大学（Moscow State University, MSU）人工智能研究所研究项目的支持。本研究依托英国生物银行（UK Biobank）资源开展，项目申请编号为#59345。E.E.、Y.A.T. 的研究工作得到细胞与遗传学研究所预算项目（项目编号FWNR-2022-0020）的支持。欧盟委员会第七框架计划资助了PainOmics项目（项目编号602736）。TwinsUK研究得到惠康信托基金、英国医学研究理事会、Versus Arthritis、欧盟地平线2020计划、慢性病研究基金会（Chronic Disease Research Foundation, CDRF）、Zoe Ltd以及盖伊和圣托马斯国民保健信托基金会下属国家卫生研究院（National Institute for Health Research, NIHR）临床研究网络（Clinical Research Network, CRN）与生物医学研究中心（合作方为伦敦国王学院）的资助。TwinsUK研究已获得伦敦-威斯敏斯特研究伦理委员会批准（伦理编号EC04/015），并通过盖伊和圣托马斯国民保健信托基金会研究与开发部门审核。TwinsUK生物样本库已获得HRA-利物浦东区研究伦理委员会批准（伦理编号19/NW/0187，IRAS ID 258513）。在Genos实验室开展的糖组分析得到了地平线欧洲计划资助的GlycanSwitch项目（欧洲研究委员会协作研究资助 #101071386）、INITIALISE项目（项目编号#101094099）以及SynHealth项目（项目编号#101159018）的支持。所有受试者均签署了书面知情同意书。我们感谢Toma Keser、Mirna Šimurina、Marija Vilaj、Jerko Štambuk、Ivan Gudelj、Thomas S. Klarić、Jasminka Krištić、Jelena Šimunović、Julija Jurić、Ana Momčilović、Najda Rudman以及Maja Hanić在糖组分析工作中提供的协助。 字段说明 rs_id：dbSNP数据库SNP标识号。 chr：SNP所在染色体编号。 bp：SNP在染色体上的碱基对位置（采用GRCh37/hg19基因组组装版本）。 ea：效应等位基因。 ra：参考等位基因。 eaf：效应等位基因频率。 af_ref：参考等位基因频率。 beta：效应量估计值。 se：效应量估计值的标准误。 p：关联检验的P值。 n：分析所用的样本量。 z：关联检验的Z得分。 info：基因型填充信息评分。