SynthesisNature genetics2025
Pan-UK Biobank genome-wide association analyses enhance discovery and resolution of ancestry-enriched effects.
Abstract readMeta-Analysis
In one paragraph
Synthesis in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 6 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 6 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
113 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Genetic drivers of etiologic heterogeneity in thyroid cancer.Nature communications · 2026Pooled it
- Genome-wide analysis implicates inner ear development in Ménière disease.American journal of human genetics · 2026Pooled it
- Pooled it
- The genetic basis of dermatophytosis skin infection susceptibility.Nature communications · 2026Pooled it
- Genome-wide association analyses of autoimmune hypothyroidism reveal autoimmune and thyroid-specific contributions and an inverse relationship with cancer risk.Nature genetics · 2026Pooled it
- Brain transcriptome-wide association studies in diverse ancestral populations reveal genes implicated in an anxiety-related phenotype.G3 (Bethesda, Md.) · 2026Pooled it
- All of Us diversity and scale yield context-dependent improvements in polygenic prediction.Nature genetics · 2026Article
- Article
- Disorder-specific and shared genetic architecture underlying schizophrenia and bipolar disorder.medRxiv : the preprint server for health sciences · 2026Article
- A multi-ancestry genome-wide association study of dry eye disease and systemic comorbidities.EBioMedicine · 2026Article
- State-Dependent 3D Enhancer Architecture Resolves a Shared Schizophrenia and Multiple Sclerosis Ketone and Lactate Sensing Logic Gate.bioRxiv : the preprint server for biology · 2026Article
- Shared genetic architecture of schizophrenia and lupus identifies pleiotropic loci with distinct downstream mechanisms.Human molecular genetics · 2026Article
- Genetic determinants of childhood blood pressure and heart rate in relation to adult health outcomes: the consortium of childhood blood pressure.European heart journal · 2026Article
- Mendelianization: Concentrating Polygenic Signal Into a Single Causal Locus.Genetic epidemiology · 2026Article
- plinkQC: an integrated tool for ancestry inference, sample selection, and quality control in population genetics.Bioinformatics (Oxford, England) · 2026Article
- Modeling nonlinear and interaction effects of spatiotemporal and nongenetic factors improves prediction for complex traits.Nature communications · 2026Article
- DNA Damage Recognition by Bacterial and Human Adenine-DNA Glycosylases: Insights from Non-Canonical Substrates.Biomolecules · 2026Article
- Genetically Determined Loss-of-Function of the Organic Cation Transporter OCT1 Is Associated with Lower Liver Fat Content in Humans.International journal of molecular sciences · 2026Article
- Determinants of functional burden pleiotropy and gene dosage responses across human traits.Nature communications · 2026Article
- Chronic conditions and aortic disease risk: a prospective cohort study with predictive and etiological analyses.Nature communications · 2026Article
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors.
Konrad J Karczewski *Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2878-4671
Rahul Gupta *Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8263-2455
Masahiro Kanai *Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-5165-4408
Wenhan LuProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3048-9658
Kristin TsuoProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Ying WangProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7808-6279
Raymond K WaltersAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8422-6530
Patrick TurleyDepartment of Economics, University of Southern California, Los Angeles, CA, USA.
Shawneequa CallierDepartment of Clinical Research and Leadership, The George Washington University, Washington, DC, USA.ORCID http://orcid.org/0000-0002-1007-333X
Nirav N ShahDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Nikolas BayaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-4681-374X
Duncan S PalmerProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jacqueline I GoldsteinProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Gopal SarmaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Matthew SolomonsonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nathan ChengProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Sam BryantProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0009-0001-9891-0488
Claire ChurchhouseProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3140-6452
Caroline M CusickProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Timothy PoterbaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
John CompitelloProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Daniel KingProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3319-9733
Wei ZhouProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7719-0859
Cotton SeedProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Hilary K FinucaneProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3864-9828
Mark J DalyProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0949-8752
Benjamin M NealeProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1513-6077
Elizabeth G AtkinsonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6308-776X
Alicia R MartinProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA. armartin@broadinstitute.org.ORCID http://orcid.org/0000-0003-0241-3522
Funding
Statistical methods to localize disease heritability and identify biological mechanismsR37MH107649 · NIMH · BROAD INSTITUTE, INC. · PI Benjamin Michael Neale · 2019 to 2026
$7.0MGeneralizing polygenic risk prediction methods across populations for insights into psychiatric diseaseR00MH117229 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MARTIN, ALICIA · 2020 to 2022
$724kA framework enabling the genomic analysis of psychiatric traits across admixed populations.K01MH121659 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ATKINSON, ELIZABETH GRACE · 2019 to 2022
$719kThe role of mitochondrial dysfunction in age-related disease: a human genetic approachF30AG074507 · NIA · HARVARD MEDICAL SCHOOL · PI GUPTA, RAHUL · 2021 to 2025
$186kIntegrating polygenic and environmental risk factors for asthma in diverse populationsF31HL167378 · NHLBI · HARVARD MEDICAL SCHOOL · PI TSUO, KRISTIN MAY · 2023 to 2024
$79kBroad Institute BroadIgniteNHLBI NIH HHS F31 HL167378NIA NIH HHS F30 AG074507NIMH NIH HHS K01 MH121659NIMH NIH HHS R00 MH117229NIMH NIH HHS R37 MH107649U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) F31HL167378U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) K01MH121659U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R00MH117229U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R37MH107649U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) F30AG074507
Abstract
Large biobanks, such as the UK Biobank (UKB), enable massive phenome by genome-wide association studies that elucidate genetic etiology of complex traits. However, people from diverse genetic ancestry groups are often excluded from association analyses due to concerns about population structure introducing false positive associations. Here we generate mixed model associations and meta-analyses across genetic ancestry groups, inclusive of a larger fraction of the UK Biobank than previous efforts, to produce freely available summary statistics for 7,266 traits. We build a quality control and analysis framework informed by genetic architecture. Overall, we identify 14,676 significant loci (P < 5 × 10
Indexed as
Biological Specimen BanksGenome-Wide Association StudyGenetic Predisposition to DiseaseHumansPhenotypePolymorphism, Single NucleotideUK BiobankUnited Kingdom
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.