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Title:
The genetic architecture of type 1 diabetes over time: how well can we rely on past data to predict the future? | Diabetologia
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Diabetologia -
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28 years and 1 months (reg. 1997-05-29).
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Keywords {π}
diabetes, type, genetic, article, cohort, data, diagnosed, pubmed, risk, grs, individuals, median, time, incidence, age, disease, genes, google, scholar, hla, score, research, scores, prs, diagnosis, parent, babydiab, access, years, study, year, earlier, privacy, cookies, open, environmental, susceptibility, tdgc, childhood, children, dimelli, observed, cas, authors, information, publish, search, diabetologia, architecture, manuscript,
Topics {βοΈ}
article download pdf high-risk hla haplotypes pre-covid-19 pandemic levels article zapardiel-gonzalo polygenic risk scores de-identified individual data explore temporal trends privacy choices/manage cookies german research center hla class ii babydiab parent cohort fine-mapping higher-risk genotypes multiple common infections substantial genetic risk zapardiel-gonzalo risk genes inside islet autoantibody data uk biobank cohort main content log environment-related increases degree family history facilitate ongoing investigations lund-blix na genome-wide association ethics declarations acknowledgements methodologically sound proposal grants 2018pg-t1d022 obtain permission directly population-wide analysis conditions privacy policy islet cell function previous study suggested a-gz created a-gz reviewed full access helmholtz zentrum mΓΌnchen creative commons licence diagnosed dimelli cohort dimelli cohort diagnosed ezio bonifacio genetic susceptibility european economic area maintaining disease registries recent dimelli cohort accepting optional cookies specific environmental factors making predictions based regenerative therapies dresden helmsley charitable trust
Questions {β}
- The genetic architecture of type 1 diabetes over time: how well can we rely on past data to predict the future?
- The genetic architecture of type 1 diabetes over time: how well can we rely on past data to predict the future?
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headline:The genetic architecture of type 1 diabetes over time: how well can we rely on past data to predict the future?
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Genetic susceptibility
Polygenic risk scores
Type 1 diabetes
Internal Medicine
Metabolic Diseases
Human Physiology
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Polygenic risk scores
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