{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T20:59:18Z","timestamp":1786741158475,"version":"build-2736575974"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T00:00:00Z","timestamp":1773619200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T00:00:00Z","timestamp":1776902400000},"content-version":"vor","delay-in-days":38,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Eesti Teadusagentuur","award":["PRG1291"],"award-info":[{"award-number":["PRG1291"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Genomics"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Type I hereditary hemochromatosis (HH), caused by pathogenic\n                      <jats:italic>HFE<\/jats:italic>\n                      variants, is among the most common autosomal recessive disorders in Northern Europe. HH genotype\u2013phenotype associations have been difficult to predict due to variable variant penetrance and expressivity. In this study, population-based biobank data were used to conduct a large-scale analysis of symptoms associated with different HH genotypes and their potential genetic modifiers.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Linked genotypic and electronic health records from the Estonian Biobank (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009211,994) and UK Biobank (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009405,931) were used to investigate HH genotype\u2013phenotype associations. Pathogenic variants of all HH types in the Estonian Biobank sample were identified. Clinical markers derived from laboratory measurements and diagnosis codes were compared between\n                      <jats:italic>HFE<\/jats:italic>\n                      pathogenic variant carriers and controls [chi-squared test, phenome-wide association study (PheWAS)]. Carrier subgroups were defined according to the presence of p.C282Y, p.H63D, p.S65C, and all pairwise combination genotypes. Kruskal\u2013Wallis and Mann\u2013Whitney\n                      <jats:italic>U<\/jats:italic>\n                      tests were used to identify ICD-10 codes and genotype groups with significantly different mean ages at first diagnosis. Genome-wide association studies (GWAS) based on ceruloplasmin and ferritin concentrations were conducted to identify potential genetic modifiers. Fine-mapping was used to identify putatively causal single nucleotide polymorphisms (credible sets) in the Estonian Biobank GWAS results. Fixed-effects meta-analyses of combined GWAS results from both biobanks were performed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We conducted the largest PheWAS with data from\n                      <jats:italic>HFE<\/jats:italic>\n                      variant carriers to date and catalogued pathogenic HH variants in the Estonian population. p.S65C homozygotes and p.C282Y\/p.S65C heterozygotes in the Estonian Biobank sample were diagnosed with urogenital conditions (ICD-10 codes N42 and N50.8) at significantly higher rates than were controls. On average, N42 was first diagnosed 11 years earlier in p.S65C compound heterozygotes and homozygotes than in controls. We also identified a novel GWAS hit,\n                      <jats:italic>CP<\/jats:italic>\n                      rs61733458, with a significant impact on the ceruloplasmin level and ties to iron metabolism\u2013related diseases.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Our results suggest that the p.S65C variant is more clinically relevant than previously thought and should be integrated more into HH testing guidelines.\n                      <jats:italic>CP<\/jats:italic>\n                      variant rs61733458 is a potential genetic modifier associated with iron metabolism\u2013related diseases.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12864-026-12746-3","type":"journal-article","created":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T12:05:59Z","timestamp":1773662759000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unraveling genotype\u2013phenotype relationships in hereditary hemochromatosis through integrated biobank data analysis"],"prefix":"10.1186","volume":"27","author":[{"given":"Miriam","family":"Nurm","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarmo","family":"Annilo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"May-Wilson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anu","family":"Reigo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reedik","family":"M\u00e4gi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Urmo","family":"V\u00f5sa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neeme","family":"T\u00f5nisson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"Estonian Biobank Research Team","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andres","family":"Metspalu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lili","family":"Milani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T\u00f5nu","family":"Esko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mari","family":"Nelis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgi","family":"Hudjashov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toomas","family":"Haller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,16]]},"reference":[{"key":"12746_CR1","doi-asserted-by":"crossref","unstructured":"Allen KJ, Gurrin LC, Constantine CC, Osborne NJ, Delatycki MB, Nicoll AJ, et al. 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The activities of the Estonian Biobank are regulated by the Human Genes Research Act, which was adopted in 2000 specifically for the operations of the Estonian Biobank. Individual-level data analysis at the Estonian Biobank for the purpose of this study was carried out under ethical approval nos. 1.1\u201312\/2356 and 1.1\u201312\/624 (and all further amendments) from the Estonian Committee on Bioethics and Human Research (Estonian Ministry of Social Affairs), using data according to release application no. U37 6\u20137\/GI\/14569 from the Estonian Biobank. UK Biobank data has approval from the North West Multi-centre Research Ethics Committee (MREC) (REC reference: 16\/NW\/0274). 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