{"entity": "researcher", "timestamp": "2026-08-20T20:57:49.786Z", "family": "Adamski", "given": "Jerzy", "initials": "J", "orcid": "0000-0001-9259-0199", "affiliations": ["Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.", "Institute of Experimental Genetics, German Research Center for Environmental Health, Helmholtz Zentrum M\u00fcnchen, Neuherberg, 85764, Germany.", "Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/6871f2a0d4414a58be2e7f26a59d3ca9.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/6871f2a0d4414a58be2e7f26a59d3ca9"}}, "publications": [{"entity": "publication", "iuid": "6b0e483754dc4e669906dd6236f3c56b", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/6b0e483754dc4e669906dd6236f3c56b.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/6b0e483754dc4e669906dd6236f3c56b"}}, "title": "A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes.", "authors": [{"family": "Halama", "given": "Anna", "initials": "A", "orcid": "0000-0003-4910-6255", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6bf58441e02e4551acc6ac4b0c90cb63.json"}}, {"family": "Zaghlool", "given": "Shaza", "initials": "S", "orcid": "0000-0002-9132-8030", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/65a0b2fff6f9424193601954b7e308d9.json"}}, {"family": "Thareja", "given": "Gaurav", "initials": "G", "orcid": "0000-0003-2277-6400", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a2b19fec03764ccfacd116990720c73b.json"}}, {"family": "Kader", "given": "Sara", "initials": "S"}, {"family": "Al Muftah", "given": "Wadha", "initials": "W", "orcid": "0000-0003-2549-082X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/78994cfb3e4844ec847cf859b83f7cbd.json"}}, {"family": "Mook-Kanamori", "given": "Marjonneke", "initials": "M"}, {"family": "Sarwath", "given": "Hina", "initials": "H"}, {"family": "Mohamoud", "given": "Yasmin Ali", "initials": "YA"}, {"family": "Stephan", "given": "Nisha", "initials": "N"}, {"family": "Ameling", "given": "Sabine", "initials": "S", "orcid": "0000-0002-3095-8362", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/5029d87b57024fa9bccd8b18a2f12bc3.json"}}, {"family": "Pucic Bakovi\u0107", "given": "Maja", "initials": "M", "orcid": "0000-0003-0866-623X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b3c288f6c19a4216b9e751d58d08aa5b.json"}}, {"family": "Krumsiek", "given": "Jan", "initials": "J", "orcid": "0000-0003-4734-3791", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/73e5e475bd3b44e7aec1d82ef0a810d1.json"}}, {"family": "Prehn", "given": "Cornelia", "initials": "C", "orcid": "0000-0002-1274-4715", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/c280da18ddda4abb816f6db3dbadc6e9.json"}}, {"family": "Adamski", "given": "Jerzy", "initials": "J", "orcid": "0000-0001-9259-0199", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6871f2a0d4414a58be2e7f26a59d3ca9.json"}}, {"family": "Schwenk", "given": "Jochen M", "initials": "JM", "orcid": "0000-0001-8141-8449", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/022e140799b6466ea123319c3d70c76e.json"}}, {"family": "Friedrich", "given": "Nele", "initials": "N"}, {"family": "V\u00f6lker", "given": "Uwe", "initials": "U", "orcid": "0000-0002-5689-3448", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/68bb357d1344475596bf14ca926fdac5.json"}}, {"family": "Wuhrer", "given": "Manfred", "initials": "M", "orcid": "0000-0002-0814-4995", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/9ab9812914744ccf9c4f93794cab9293.json"}}, {"family": "Lauc", "given": "Gordan", "initials": "G"}, {"family": "Najafi-Shoushtari", "given": "S Hani", "initials": "SH"}, {"family": "Malek", "given": "Joel A", "initials": "JA", "orcid": "0000-0002-1516-8477", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/8f8b4ff9a0214bfc8e822ef97285f2fe.json"}}, {"family": "Graumann", "given": "Johannes", "initials": "J", "orcid": "0000-0002-3015-5850", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/991390e9be11418e9679d4781ee0bf1e.json"}}, {"family": "Mook-Kanamori", "given": "Dennis", "initials": "D"}, {"family": "Schmidt", "given": "Frank", "initials": "F"}, {"family": "Suhre", "given": "Karsten", "initials": "K"}], "type": "journal article", "published": "2024-08-19", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "15", "issue": "1", "pages": "7111", "issn-l": "2041-1723"}, "abstract": "In-depth multiomic phenotyping provides molecular insights into complex physiological processes and their pathologies. Here, we report on integrating 18 diverse deep molecular phenotyping (omics-) technologies applied to urine, blood, and saliva samples from 391 participants of the multiethnic diabetes Qatar Metabolomics Study of Diabetes (QMDiab). Using 6,304 quantitative molecular traits with 1,221,345 genetic variants, methylation at 470,837 DNA CpG sites, and gene expression of 57,000 transcripts, we determine (1) within-platform partial correlations, (2) between-platform mutual best correlations, and (3) genome-, epigenome-, transcriptome-, and phenome-wide associations. Combined into a molecular network of > 34,000 statistically significant trait-trait links in biofluids, our study portrays \"The Molecular Human\". We describe the variances explained by each omics in the phenotypes (age, sex, BMI, and diabetes state), platform complementarity, and the inherent correlation structures of multiomics data. Further, we construct multi-molecular network of diabetes subtypes. Finally, we generated an open-access web interface to \"The Molecular Human\" ( http://comics.metabolomix.com ), providing interactive data exploration and hypotheses generation possibilities.", "doi": "10.1038/s41467-024-51134-x", "pmid": "39160153", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC11333501"}, {"db": "pii", "key": "10.1038/s41467-024-51134-x"}], "notes": [], "created": "2026-08-20T08:53:34.466Z", "modified": "2026-08-20T08:53:34.953Z"}, {"entity": "publication", "iuid": "97dcb877641d4da1b812ef995b72d5d3", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/97dcb877641d4da1b812ef995b72d5d3.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/97dcb877641d4da1b812ef995b72d5d3"}}, "title": "Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits.", "authors": [{"family": "Brown", "given": "Andrew A", "initials": "AA", "orcid": "0000-0002-8087-3033", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b690d27df56b44dc8a070e4265afc8ca.json"}}, {"family": "Fernandez-Tajes", "given": "Juan J", "initials": "JJ"}, {"family": "Hong", "given": "Mun-Gwan", "initials": "MG", "orcid": "0000-0001-8603-8293", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d12504acae5c4f31b83f75c3d7786cd4.json"}}, {"family": "Brorsson", "given": "Caroline A", "initials": "CA"}, {"family": "Koivula", "given": "Robert W", "initials": "RW"}, {"family": "Davtian", "given": "David", "initials": "D"}, {"family": "Dupuis", "given": "Th\u00e9o", "initials": "T"}, {"family": "Sartori", "given": "Ambra", "initials": "A"}, {"family": "Michalettou", "given": "Theodora-Dafni", "initials": "TD", "orcid": "0000-0003-2119-1099", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/f0a44cd4ea604ce4a93b16870965dcc2.json"}}, {"family": "Forgie", "given": "Ian M", "initials": "IM"}, {"family": "Adam", "given": "Jonathan", "initials": "J"}, {"family": "Allin", "given": "Kristine H", "initials": "KH"}, {"family": "Caiazzo", "given": "Robert", "initials": "R", "orcid": "0000-0001-5383-0540", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/155b9c8799064e04be5118147542a25c.json"}}, {"family": "Cederberg", "given": "Henna", "initials": "H"}, {"family": "De Masi", "given": "Federico", "initials": "F"}, {"family": "Elders", "given": "Petra J M", "initials": "PJM"}, {"family": "Giordano", "given": "Giuseppe N", "initials": "GN", "orcid": "0000-0002-6719-6680", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/dc30138be60e49d481bfc5f03a8fe61f.json"}}, {"family": "Haid", "given": "Mark", "initials": "M", "orcid": "0000-0001-6118-1333", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/c4398da6ddb245bdb982ac3a0b352c40.json"}}, {"family": "Hansen", "given": "Torben", "initials": "T", "orcid": "0000-0001-8748-3831", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/9e9a365eccb44b28b293c7decc6f4b9f.json"}}, {"family": "Hansen", "given": "Tue H", "initials": "TH", "orcid": "0000-0001-5948-8993", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/73418e2efdc1459483138da74b0abad6.json"}}, {"family": "Hattersley", "given": "Andrew T", "initials": "AT", "orcid": "0000-0001-5620-473X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/dfbb9bb951f04ed3ac56eb4890d3186a.json"}}, {"family": "Heggie", "given": "Alison J", "initials": "AJ"}, {"family": "Howald", "given": "C\u00e9dric", "initials": "C"}, {"family": "Jones", "given": "Angus G", "initials": "AG", "orcid": "0000-0002-0883-7599", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/fb98d0951469460d8e87bbd7e71741db.json"}}, {"family": "Kokkola", "given": "Tarja", "initials": "T", "orcid": "0000-0002-3303-3912", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/fc389880431a46e49fcbe0eae12908ea.json"}}, {"family": "Laakso", "given": "Markku", "initials": "M", "orcid": "0000-0002-3394-7749", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/81c631c24b2e4c479ac6976eab7b1e88.json"}}, {"family": "Mahajan", "given": "Anubha", "initials": "A"}, {"family": "Mari", "given": "Andrea", "initials": "A", "orcid": "0000-0002-1436-5591", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/3b7dd1ab06074d1188e40713d8807c48.json"}}, {"family": "McDonald", "given": "Timothy J", "initials": "TJ"}, {"family": "McEvoy", "given": "Donna", "initials": "D"}, {"family": "Mourby", "given": "Miranda", "initials": "M"}, {"family": "Musholt", "given": "Petra B", "initials": "PB"}, {"family": "Nilsson", "given": "Birgitte", "initials": "B"}, {"family": "Pattou", "given": "Francois", "initials": "F", "orcid": "0000-0001-8388-3766", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/0769cc7e166943cb98978c45c12d749a.json"}}, {"family": "Penet", "given": "Deborah", "initials": "D"}, {"family": "Raverdy", "given": "Violeta", "initials": "V"}, {"family": "Ridderstr\u00e5le", "given": "Martin", "initials": "M"}, {"family": "Romano", "given": "Luciana", "initials": "L"}, {"family": "Rutters", "given": "Femke", "initials": "F"}, {"family": "Sharma", "given": "Sapna", "initials": "S"}, {"family": "Teare", "given": "Harriet", "initials": "H"}, {"family": "'t Hart", "given": "Leen", "initials": "L", "orcid": "0000-0003-4401-2938", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/c36c8ed413ed4d6f975341fe511035e3.json"}}, {"family": "Tsirigos", "given": "Konstantinos D", "initials": "KD"}, {"family": "Vangipurapu", "given": "Jagadish", "initials": "J"}, {"family": "Vestergaard", "given": "Henrik", "initials": "H", "orcid": "0000-0003-3090-269X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/e2fa5c4f74894d6a833afd105ec72848.json"}}, {"family": "Brunak", "given": "S\u00f8ren", "initials": "S"}, {"family": "Franks", "given": "Paul W", "initials": "PW", "orcid": "0000-0002-0520-7604", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/8263a26f474946de8b61a2080051d37b.json"}}, {"family": "Frost", "given": "Gary", "initials": "G", "orcid": "0000-0003-0529-6325", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/894534933d064d1f802f1690ea56f162.json"}}, {"family": "Grallert", "given": "Harald", "initials": "H"}, {"family": "Jablonka", "given": "Bernd", "initials": "B"}, {"family": "McCarthy", "given": "Mark I", "initials": "MI"}, {"family": "Pavo", "given": "Imre", "initials": "I", "orcid": "0000-0002-2016-7049", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1691b459fdb84772b1e8595e8de617f3.json"}}, {"family": "Pedersen", "given": "Oluf", "initials": "O", "orcid": "0000-0002-3321-3972", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a0ef37542aea4e67a322b0d6179cd59e.json"}}, {"family": "Ruetten", "given": "Hartmut", "initials": "H"}, {"family": "Walker", "given": "Mark", "initials": "M"}, {"family": "DIRECT Consortium", "given": "", "initials": ""}, {"family": "Adamski", "given": "Jerzy", "initials": "J", "orcid": "0000-0001-9259-0199", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6871f2a0d4414a58be2e7f26a59d3ca9.json"}}, {"family": "Schwenk", "given": "Jochen M", "initials": "JM", "orcid": "0000-0001-8141-8449", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/022e140799b6466ea123319c3d70c76e.json"}}, {"family": "Pearson", "given": "Ewan R", "initials": "ER", "orcid": "0000-0001-9237-8585", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/e27e9e47f1cc4a969268eb5a65b8045b.json"}}, {"family": "Dermitzakis", "given": "Emmanouil T", "initials": "ET", "orcid": "0000-0002-9302-6490", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6683f17defc34cad9389fd7fef36aca4.json"}}, {"family": "Vi\u00f1uela", "given": "Ana", "initials": "A", "orcid": "0000-0003-3771-8537", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/02cba70871df48eb84c17e82f95baae4.json"}}], "type": "journal article", "published": "2023-08-21", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "14", "issue": "1", "pages": "5062", "issn-l": "2041-1723"}, "abstract": "We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.", "doi": "10.1038/s41467-023-40569-3", "pmid": "37604891", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC10442420"}, {"db": "pii", "key": "10.1038/s41467-023-40569-3"}], "notes": [], "created": "2026-08-20T08:52:44.576Z", "modified": "2026-08-20T08:52:45.407Z"}, {"entity": "publication", "iuid": "a7d4ddbce63a41049d1407fcd2252fc0", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/a7d4ddbce63a41049d1407fcd2252fc0.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/a7d4ddbce63a41049d1407fcd2252fc0"}}, "title": "A reference map of potential determinants for the human serum metabolome.", "authors": [{"family": "Bar", "given": "Noam", "initials": "N"}, {"family": "Korem", "given": "Tal", "initials": "T", "orcid": "0000-0002-0609-0858", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/42ca3e18a683422696446051c9e20d8c.json"}}, {"family": "Weissbrod", "given": "Omer", "initials": "O"}, {"family": "Zeevi", "given": "David", "initials": "D", "orcid": "0000-0002-6492-6078", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a06f1edab5684e5a891a625b2e9ca4c6.json"}}, {"family": "Rothschild", "given": "Daphna", "initials": "D"}, {"family": "Leviatan", "given": "Sigal", "initials": "S"}, {"family": "Kosower", "given": "Noa", "initials": "N"}, {"family": "Lotan-Pompan", "given": "Maya", "initials": "M"}, {"family": "Weinberger", "given": "Adina", "initials": "A"}, {"family": "Le Roy", "given": "Caroline I", "initials": "CI", "orcid": "0000-0002-0341-751X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7c818f2d26a54e6299e07957451d36e8.json"}}, {"family": "Menni", "given": "Cristina", "initials": "C"}, {"family": "Visconti", "given": "Alessia", "initials": "A", "orcid": "0000-0003-4144-2019", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7cdd467ebc9b46bda93b9201d24f4038.json"}}, {"family": "Falchi", "given": "Mario", "initials": "M"}, {"family": "Spector", "given": "Tim D", "initials": "TD", "orcid": "0000-0002-9795-0365", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6d79b7af2d7a4f1da46ac2ee2bb1eb0b.json"}}, {"family": "IMI DIRECT consortium", "given": "", "initials": ""}, {"family": "Adamski", "given": "Jerzy", "initials": "J", "orcid": "0000-0001-9259-0199", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6871f2a0d4414a58be2e7f26a59d3ca9.json"}}, {"family": "Franks", "given": "Paul W", "initials": "PW", "orcid": "0000-0002-0520-7604", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/8263a26f474946de8b61a2080051d37b.json"}}, {"family": "Pedersen", "given": "Oluf", "initials": "O", "orcid": "0000-0002-3321-3972", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a0ef37542aea4e67a322b0d6179cd59e.json"}}, {"family": "Segal", "given": "Eran", "initials": "E", "orcid": "0000-0002-6859-1164", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6ccb86fba84a43a7bd6c17d81b349051.json"}}], "type": "journal article", "published": "2020-12-00", "journal": {"title": "Nature", "issn": "1476-4687", "volume": "588", "issue": "7836", "pages": "135-140", "issn-l": "0028-0836"}, "abstract": "The serum metabolome contains a plethora of biomarkers and causative agents of various diseases, some of which are endogenously produced and some that have been taken up from the environment1. The origins of specific compounds are known, including metabolites that are highly heritable2,3, or those that are influenced by the gut microbiome4, by lifestyle choices such as smoking5, or by diet6. However, the key determinants of most metabolites are still poorly understood. Here we measured the levels of 1,251 metabolites in serum samples from a unique and deeply phenotyped healthy human cohort of 491 individuals. We applied machine-learning algorithms to predict metabolite levels in held-out individuals on the basis of host genetics, gut microbiome, clinical parameters, diet, lifestyle and anthropometric measurements, and obtained statistically significant predictions for more than 76% of the profiled metabolites. Diet and microbiome had the strongest predictive power, and each explained hundreds of metabolites-in some cases, explaining more than 50% of the observed variance. We further validated microbiome-related predictions by showing a high replication rate in two geographically independent cohorts7,8 that were not available to us when we trained the algorithms. We used feature attribution analysis9 to reveal specific dietary and bacterial interactions. We further demonstrate that some of these interactions might be causal, as some metabolites that we predicted to be positively associated with bread were found to increase after a randomized clinical trial of bread intervention. Overall, our results reveal potential determinants of more than 800 metabolites, paving the way towards a mechanistic understanding of alterations in metabolites under different conditions and to designing interventions for manipulating the levels of circulating metabolites.", "doi": "10.1038/s41586-020-2896-2", "pmid": "33177712", "labels": [], "xrefs": [{"db": "pii", "key": "10.1038/s41586-020-2896-2"}], "notes": [], "created": "2026-08-20T08:56:22.608Z", "modified": "2026-08-20T08:57:08.071Z"}]}