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"

The dataset contains results of genome-wide association study of human blood plasma glycome. The TPNG_GWAMA_repl_part_aa contains summary statistics for 117 glycome traits from the replication GWAMA (Genome-Wide Association Meta-Analysis) conducted on participants, totaling 3,224 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.

Sharapov, S., Timoshchuk, A., Zaytseva, O., Maslov, D., Soplenkova, A., Elgaeva, E., Tiys, E., Mangino, M., Wittenbecher, C., Karssen, L. C., Timofeeva, M., Nostaeva, A., Vučković, F., Trbojevic Akmacic, I., Štambuk, T., Feoktistova, S., Potapova, N., Voroshilova, V., Williams, F., … Aulchenko, Y. (2025). 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" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15161944