A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog

A global reference for human genetic variation

The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247

10 Years of GWAS Discovery: Biology, Function, and Translation

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Integrating common and rare genetic variation in diverse human populations

The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026

The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

Welter, D., MacArthur, J., Morales, J., Burdett, T., Hall, P., Junkins, H., Klemm, A., Flicek, P., Manolio, T., Hindorff, L., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1229 · Cited by 2,707

The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration

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The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)

MacArthur, J., Bowler, E., Cerezo, M., Gil, L., Hall, P., Hastings, E., Junkins, H., McMahon, A., Milano, A., Morales, J., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1133 · Cited by 2,161

Genomics is failing on diversity

Popejoy, A. B., & Fullerton, S. M. (2016) · Nature · doi:10.1038/538161a · Cited by 1,924

Genetic Misdiagnoses and the Potential for Health Disparities

Manrai, A. K., Funke, B. H., Rehm, H. L., Olesen, M. S., Maron, B. A., Szolovits, P., Margulies, D. M., Loscalzo, J., & Kohane, I. S. (2016) · New England Journal of Medicine · doi:10.1056/nejmsa1507092 · Cited by 808

Reconstructing Native American population history

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Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers

Önengüt-Gümüşcü, S., Chen, W., Burren, O. S., Cooper, N. J., Quinlan, A. R., Mychaleckyj, J. C., Farber, E., Bonnie, J. K., Szpak, M., Schofield, E. C., et al. (2015) · Nature Genetics · doi:10.1038/ng.3245 · Cited by 694

Driving Global Health equity and precision medicine through African genomic data

Ojewunmi, O. O., & Fatumo, S. (2025) · Human Molecular Genetics · doi:10.1093/hmg/ddaf025 · Cited by 23

Open Targets Genetics: An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated lociPreprint

Mountjoy, E., Schmidt, E. M., Carmona, M., Peat, G., Miranda, A., Fumis, L., Hayhurst, J. D., Buniello, A., Schwartzentruber, J., Karim, M. A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.16.299271 · Cited by 21

Genome-wide association study of Buruli ulcer in rural Benin highlights role of two LncRNAs and the autophagy pathway

Manry, J., Vincent, Q. B., Johnson, C. R., Chrabieh, M., Lorenzo, L., Theodorou, I. D., Ardant, M.-F., Marion, E., Chauty, A., Marsollier, L., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-0920-6 · Cited by 22

Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos

Jian, X., Sofer, T., Tarraf, W., Bressler, J., Faul, J. D., Zhao, W., Ratliff, S. M., Lamar, M., Launer, L. J., Laurie, C. C., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00930-2 · Cited by 22

Social Risk Factors in Society of Thoracic Surgeons Risk Models. Part 1: Concepts, Indicator Variables, and Controversies

Shahian, D. M., Badhwar, V., O’Brien, S. M., Habib, R., Han, J., McDonald, D. E., Antman, M. S., Higgins, R. S. D., Preventza, O., Estrera, A. L., et al. (2022) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2021.11.067 · Cited by 19

The Single-Cell Pediatric Cancer Atlas: Data portal and open-source tools for single-cell transcriptomics of pediatric tumors

Hawkins, A. G., Shapiro, J. A., Spielman, S. J., Mejia, D. S., Prasad, D. V., Ichihara, N., Yakovets, A., Gottlieb, A. M., Wheeler, K. G., Bethell, C. J., et al. (2026) · Cell Genomics · doi:10.1016/j.xgen.2026.101283 · Cited by 26

Genome-Wide Association Study Identifies Pharmacogenomic Variants Associated With Metformin Glycemic Response in African American Patients With Type 2 Diabetes

Wu, B., Yee, S. W., Xiao, S., Xu, F., Sridhar, S. B., Yang, M., Hochstadt, S., Cabral, W., Lanfear, D. E., Hedderson, M. M., et al. (2023) · Diabetes Care · doi:10.2337/dc22-2494 · Cited by 18

Access and Representation: A Narrative Review of the Disparities in Access to Clinical Trials and Precision Oncology in Black men with Prostate Cancer

Esdaille, A. R. P., Ibilibor, C., Holmes, A. E., Palmer, N. R., & Murphy, A. B. (2021) · Urology · doi:10.1016/j.urology.2021.09.004 · Cited by 16

Interactions between Polygenic Risk of Obesity and Dietary Factors on Anthropometric Outcomes: A Systematic Review and Meta-Analysis of Observational Studies

Han, H. Y., Masip, G., Meng, T., & Nielsen, D. E. (2024) · Journal of Nutrition · doi:10.1016/j.tjnut.2024.10.014 · Cited by 20

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

Araújo, D. S., Nguyen, C., Hu, X., Mikhaylova, A. V., Gignoux, C. R., Ardlie, K., Taylor, K. D., Durda, P., Liu, Y., Papanicolaou, G., et al. (2023) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2023.100216 · Cited by 17

A community driven GWAS summary statistics standardPreprint

Hayhurst, J. D., Buniello, A., Harris, L. W., Mosaku, A., Chang, C., Gignoux, C. R., Hatzikotoulas, K., Karim, M. A., Lambert, S. A., Lyon, M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.15.500230 · Cited by 16

“Extremely slow and capricious”: A qualitative exploration of genetic researcher priorities in selecting shared data resources

Trinidad, M. G., Ryan, K. A., Krenz, C. D., Roberts, J. S., McGuire, A. L., Vries, R. G. D., Zikmund‐Fisher, B. J., Kardia, S. L. R., Marsh, E. E., Forman, J. H., et al. (2022) · Genetics in Medicine · doi:10.1016/j.gim.2022.09.003 · Cited by 14

Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D

Wang, X., Hivert, V., Groot, S., Wang, Y., Yengo, L., McGrath, J. J., Kemper, K. E., Visscher, P. M., Wray, N. R., & Revez, J. A. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1011033 · Cited by 15

Imputation Server PGS: an automated approach to calculate polygenic risk scores on imputation servers

Forer, L., Taliun, D., LeFaive, J., Smith, A. V., Boughton, A. P., Coassin, S., Lamina, C., Kronenberg, F., Fuchsberger, C., & Schönherr, S. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae331 · Cited by 14

African Global Representation in Biomedical Sciences

Mulder, N., Zass, L. J., Hamdi, Y., Othman, H., Panji, S., Allali, I., & Fakim, Y. J. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-102920-112550 · Cited by 17

Human genetics of Buruli ulcer

Manry, J. (2020) · Human Genetics · doi:10.1007/s00439-020-02163-1 · Cited by 14

Inflammation in preschool cystic fibrosis is of mixed phenotype, extends beyond the lung and is differentially modified by CFTR modulators

Shanthikumar, S., Gubbels, L., Wong, A. T. C., Walker, H., Ranganathan, S., & Neeland, M. R. (2025) · Thorax · doi:10.1136/thorax-2024-221634 · Cited by 13

Gene–Diet Interactions in Diabetes Mellitus: Current Insights and the Potential of Personalized Nutrition

Kapellou, A., Salata, E., Vrachnos, D. M., Papailia, S. I., & Vittas, S. (2025) · Genes · doi:10.3390/genes16050578 · Cited by 17

The Genetic Data Market: Institutional Governance of Academic/Industry Research Partnerships for the Public Good

Spector‐Bagdady, K. (2025) · The American Journal of Bioethics · doi:10.1080/15265161.2025.2554770 · Cited by 13

Epicardial Adipose Tissue: The Genetics Behind an Emerging Cardiovascular Risk Marker

Sousa, J., Mendonça, M., Serrão, M., Borges, S., Henriques, E., Freitas, S., Tentem, M., Santos, M., Freitas, P., Ferreira, A., et al. (2021) · Clinical Medicine Insights: Cardiology · doi:10.1177/11795468211029244 · Cited by 11

Polygenic risk scores for CARDINAL study

Adebamowo, C., Adeyemo, A., Ashaye, A. O., Akpa, O. M., Chikowore, T., Choudhury, A., Fakim, Y. J., Fatumo, S., Hanchard, N. A., Hauser, M. A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01074-3 · Cited by 12

Admixture, Genetics and Complex Diseases in Latin Americans and US Hispanics

Soares‐Souza, G. B., Borda, V., Kehdy, F. S. G., & Tarazona‐Santos, E. (2018) · Current Genetic Medicine Reports · doi:10.1007/s40142-018-0151-z · Cited by 13

Asthma genomics and pharmacogenomics

Daya, M., & Ortega, V. E. (2020) · Current Opinion in Immunology · doi:10.1016/j.coi.2020.10.001 · Cited by 13

Investigating the Genetic Profile of the Amyotrophic Lateral Sclerosis/Frontotemporal Dementia (ALS-FTD) Continuum in Patients of Diverse Race, Ethnicity and Ancestry

Mesaros, M., Lenz, S., Lim, W., Brown, J., Drury, L. J., & Roggenbuck, J. (2021) · Genes · doi:10.3390/genes13010076 · Cited by 11

Questionnaire-Based Polyexposure Assessment Outperforms Polygenic Scores for Classification of Type 2 Diabetes in a Multiancestry Cohort

Akhtari, F. S., Lloyd, D., Burkholder, A., Tong, X., House, J. S., Lee, E. Y., Buse, J. B., Schurman, S. H., Fargo, D. C., Schmitt, C., et al. (2022) · Diabetes Care · doi:10.2337/dc22-0295 · Cited by 11

The MAOA rs979605 Genetic Polymorphism Is Differentially Associated with Clinical Improvement Following Antidepressant Treatment between Male and Female Depressed Patients

Chappell, K., Colle, R., Bouligand, J., Trabado, S., Fève, B., Becquemont, L., Corruble, E., & Verstuyft, C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms24010497 · Cited by 11

Deconvolution of the Genomic and Epigenomic Interaction Landscape of Triple-Negative Breast Cancer

Wu, J., Mamidi, T. K. K., Zhang, L., & Hicks, C. (2019) · Cancers · doi:10.3390/cancers11111692 · Cited by 11

Genome-Wide Study of the UK Biobank Highlights the Importance of the Homeobox-C Gene Cluster in Hip Fracture Risk

Koizia, L. J., Giovannantonio, M. D., Zhang, P., Fertleman, M. B., & Harris, B. H. L. (2025) · Geriatric Orthopaedic Surgery & Rehabilitation · doi:10.1177/21514593251336568 · Cited by 11

The clinical relevance of WDFY4 in autoimmune diseases in diverse ancestral populations

Lyu, X., Lamb, J. A., & Chinoy, H. (2024) · Lara D. Veeken · doi:10.1093/rheumatology/keae183 · Cited by 10

Admixture/fine-mapping in Brazilians reveals a West African associated potential regulatory variant (rs114066381) with a strong female-specific effect on body mass and fat mass indexes

Scliar, M. O., Sant’Anna, H. P., Santolalla, M. L., Leal, T. P., Araujo, N. M., Alvim, I., Borda, V., Magalhães, W. C. S., Gouveia, M. H., Lyra, R., et al. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00761-1 · Cited by 10

Ancestral diversity is limited in published T cell receptor sequencing studies

Huang, Y.-N., Peng, K., Popejoy, A. B., Hu, J., Nowicki, T., Gold, S. M., Quintana-Murci, L., Fuentes-Guajardo, M., Shugay, M., Greiff, V., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.09.015 · Cited by 10

Global Ontology Entities Embeddings

Benarab, A., Sun, J., Rafique, F., & Refoufi, A. (2023) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2023.3235779 · Cited by 10

Genetically determined telomere length and its association with chronic obstructive pulmonary disease and interstitial lung disease in biobank Japan: A Mendelian randomization study

Zhu, Y., Meng, Y., Zhang, Y., Karlsson, I., Hägg, S., & Zhan, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23415 · Cited by 9

Pharmacogenetics: Opportunities for the All of Us Research Program and Other Large Data Sets to Advance the Field

Empey, P. E., Karnes, J. H., & Johnson, J. A. (2025) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-061724-080718 · Cited by 11

The association of ARRB1 polymorphisms with response to antidepressant treatment in depressed patients

Chappell, K., Tayeb, A. E. K. A., Colle, R., Bouligand, J., El‐Asmar, K., Gressier, F., Trabado, S., David, D. J. P., Fève, B., Becquemont, L., et al. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.974570 · Cited by 9

Genetic Analysis in African American Children Supports Ancestry-Specific Neuroblastoma Susceptibility

Testori, A., Vaksman, Z., Diskin, S. J., Hakonarson, H. H., Capasso, M., Iolascon, A., Maris, J. M., & Devoto, M. (2022) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-21-0782 · Cited by 9

Improving polygenic prediction with genetically inferred ancestry

Naret, O., Kutalik, Z., Hodel, F., Xu, Z. M., Marques-Vidal, P. M., & Fellay, J. (2022) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2022.100109 · Cited by 9

Genes, environment, and African ancestry in cardiometabolic disorders

Doumatey, A. P., Bentley, A. R., Akinyemi, R., Olanrewaju, T. O., Adeyemo, A., & Rotimi, C. N. (2023) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2023.07.007 · Cited by 9

Critically unwell infants and children with mitochondrial disorders diagnosed by ultrarapid genomic sequencing

Ball, M., Bouffler, S. E., Barnett, C. B., Freckmann, M., Hunter, M. F., Kamien, B., Kassahn, K. S., Lunke, S., Patel, C., Pinner, J. R., et al. (2024) · Genetics in Medicine · doi:10.1016/j.gim.2024.101293 · Cited by 8

Visualizing novel connections and genetic similarities across diseases using a network-medicine based approach

Ferolito, B. R., do Valle, Í. F., Gerlovin, H., Costa, L., Casas, J. P., Gaziano, J. M., GAGNON, D. R., Begoli, E., Barabási, A.-Ĺ., & Cho, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-19244-y · Cited by 8

Sociogenomics: theoretical and empirical challenges of integrating molecular genetics into sociological thinking

Mills, M. C. (2022) · Edward Elgar Publishing eBooks · doi:10.4337/9781789909432.00022 · Cited by 8

Can genomic research make a useful contribution to social policy?

Asbury, K., McBride, T., & Bawn, R. (2022) · Royal Society Open Science · doi:10.1098/rsos.220873 · Cited by 7

Protein–protein interaction network-based integration of GWAS and functional data for blood pressure regulation analysis

Tsare, E.-P. G., Klapa, M. I., & Moschonas, N. Κ. (2024) · Human Genomics · doi:10.1186/s40246-023-00565-6 · Cited by 10

Native Hawaiian and Pacific Islander populations in genomic research

Ha, E. K., Shriner, D., Callier, S., Riley, L., Adeyemo, A., Rotimi, C. N., & Bentley, A. R. (2024) · npj Genomic Medicine · doi:10.1038/s41525-024-00428-6 · Cited by 6

Moroccan genome project: genomic insight into a North African population

Fahime, E. E., Kartti, S., Chemao-Elfihri, M. W., Festali, R., Hakmi, M., Ibrahimi, A., Boutayeb, S., & Belyamani, L. (2025) · Communications Biology · doi:10.1038/s42003-025-08020-z · Cited by 12

Polygenic Risk Score-Based Association Analysis of Speech-in-Noise and Hearing Threshold Measures in Healthy Young Adults with Self-reported Normal Hearing

Bhatt, I. S., Ramadugu, S. K., Goodman, S. S., Bhagavan, S. G., Ingalls, V., Dias, R., & Torkamani, A. (2023) · Journal of the Association for Research in Otolaryngology · doi:10.1007/s10162-023-00911-4 · Cited by 6

Highly diversified core promoters in the human genome and their effects on gene expression and disease predisposition

Gupta, H., Chandratre, K. R., Sinha, S., Huang, T., Wu, X., Cui, J., Zhang, M. Q., & Wang, S. M. (2020) · BMC Genomics · doi:10.1186/s12864-020-07222-5 · Cited by 6

IthaPhen: An Interactive Database of Genotype-Phenotype Data for Hemoglobinopathies

Xenophontos, M., Minaidou, A., Stephanou, C., Tamana, S., Kleanthous, M., & Kountouris, P. (2023) · HemaSphere · doi:10.1097/hs9.0000000000000922 · Cited by 6

CoPheScan: phenome-wide association studies accounting for linkage disequilibrium

Manipur, I., Reales, G., Sul, J. H., Shin, M. K., Longerich, S., Cortés, A., & Wallace, C. (2024) · Nature Communications · doi:10.1038/s41467-024-49990-8 · Cited by 5

Bridging the diversity gap: Analytical and study design considerations for improving the accuracy of trans-ancestry genetic prediction

Bocher, O., Gilly, A., Park, Y., Zeggini, E., & Morris, A. P. (2023) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2023.100214 · Cited by 7

Genetic Researchers’ Use of and Interest in Research With Diverse Ancestral Groups

Jaffe, K., Greene, A. K., Chen, L., Ryan, K. A., Krenz, C. D., Roberts, J. S., Zikmund‐Fisher, B. J., McGuire, A. L., Thomas, J. D., Marsh, E. E., et al. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.6805 · Cited by 6

MicroRNA childhood cancer catalog (M3Cs): a resource for translational bioinformatics toward health informatics in pediatric cancer

Rashed, W. M., Adel, F., Rezk, M. A., Basiouny, L., Rezk, A. A., & Abdel-Razek, A. H. (2022) · Database · doi:10.1093/database/baac013 · Cited by 5

Development and Validation of Risk Prediction Models for Colorectal Cancer in Patients with Symptoms

Xu, W., Mesa‐Eguiagaray, I., Kirkpatrick, T., Devlin, J. R., Brogan, S., Turner, P., Macdonald, C., THORNTON, M. J., Zhang, X., He, Y., et al. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13071065 · Cited by 4

Platelet MAO activity and COMT Val158Met genotype interaction predicts visual working memory updating efficiency

Tamm, G., Kreegipuu, K., & Harro, J. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113255 · Cited by 5

The ERICH3 rs11580409 polymorphism is associated with 6-month antidepressant response in depressed patients

Chappell, K., Colle, R., Tayeb, A. E. K. A., Bouligand, J., El‐Asmar, K., Deflesselle, É., Fève, B., Becquemont, L., Corruble, E., & Verstuyft, C. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110608 · Cited by 4

Knowledge of Genome Sequencing and Trust in Medical Researchers Among Patients of Different Racial and Ethnic Groups With Idiopathic Dilated Cardiomyopathy

Ni, H., Jordan, E., Cao, J., Kinnamon, D. D., Gottlieb, S. S., Hofmeyer, M. R., Jiménez, J., Judge, D. P., Kransdorf, E. P., Morris, A. A., et al. (2022) · JAMA Cardiology · doi:10.1001/jamacardio.2022.4132 · Cited by 4

CRENO: An ontology to model concepts relating to culture, race, ethnicity, and nationality for health data.

Nguyen, E., Amith, M. “., Nordberg, A., Tang, L., Harris, M. R., & Tao, C. (2023) · PubMed Central · Cited by 4

Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results

Baron, C., Cherkaoui, S., Therrien-Laperriere, S., Ilboudo, Y., Poujol, R., Mehanna, P., Garrett, M. E., Telen, M. J., Ashley‐Koch, A. E., Bartolucci, P., et al. (2023) · iScience · doi:10.1016/j.isci.2023.108473 · Cited by 4

Diversity in cancer genomics research is a matter of equity and scientific discovery

Pal, T. (2021) · Genetics in Medicine · doi:10.1016/j.gim.2021.11.016 · Cited by 4

Maximizing Analytical Performance in Biomolecular Discovery with LC-MS: Focus on Psychiatric Disorders

Smith, B. J., Guest, P. C., & Martins‐de‐Souza, D. (2024) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-061522-041154 · Cited by 4

Comparison of Polygenic Risk for Schizophrenia between European and Korean Populations

Lee, J., Lee, D., Cho, E. Y., Baek, J. H., & Hong, K. S. (2020) · Korean Journal of Schizophrenia Research · doi:10.16946/kjsr.2020.23.2.65 · Cited by 3

Systematic exploration of a decade of publications on psychiatric genetics in Latin America

Garro-Núñez, D., Picado-Martínez, M. J., Espinoza-Campos, E., Ugalde-Araya, D., Macaya, G., Raventós, H., & Chavarría-Soley, G. (2023) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32960 · Cited by 3

Trust in prenatal exome sequencing for expectant families facing unexplained fetal anomalies

Rothschild, H., Lianoglou, B. R., Sahin‐Hodoglugil, N., Tick, K., Brown, J. E. H., & Sparks, T. N. (2023) · Prenatal Diagnosis · doi:10.1002/pd.6507 · Cited by 3

Polygenic Risk Score-Based Association Analysis Identifies Genetic Comorbidities Associated with Age-Related Hearing Difficulty in Two Independent Samples

Bhatt, I. S., Garay, J. A. R., Bhagavan, S. G., Ingalls, V., Dias, R., & Torkamani, A. (2024) · Journal of the Association for Research in Otolaryngology · doi:10.1007/s10162-024-00947-0 · Cited by 6

Deficits of Molecular Prognosis/Diagnosis Studies in Underserved Populations

Medford, A. J., & Moy, B. (2024) · JCO Oncology Practice · doi:10.1200/op.24.00131 · Cited by 3

Pro12Ala polymorphism of peroxisome proliferator activated receptor gamma 2 may be associated with adverse neurodevelopment in European preterm babies

Victor, S., Chew, A. T. M., & Falconer, S. (2021) · Brain and Behavior · doi:10.1002/brb3.2256 · Cited by 3

Investigating Causal Relations Between Risk Tolerance, Risky Behaviors, and Alzheimer’s Disease: A Bidirectional Two-Sample Mendelian Randomization Study

Yang, Y., Kuo, K., Li, H., Shen, X., Chen, S.-D., Cui, M., Dong, Q., & Yu, J. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200773 · Cited by 3

By their powers combined, global initiative joins forces for genomic research

Wojcik, G. L. (2022) · Cell · doi:10.1016/j.cell.2022.10.010 · Cited by 3

Automated AI labelling of optic nerve head enables new insights into cross-ancestry glaucoma risk and genetic discovery in over 280,000 images from the UK Biobank and Canadian Longitudinal Study on AgingPreprint

Han, X., Steven, K., Qassim, A., Marshall, H. N., Bean, C., Tremeer, M., An, J., Siggs, O. M., Gharahkhani, P., Craig, J. E., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.03.367623 · Cited by 3

Multi-ancestry gene-trait connection landscape using electronic health record (EHR) linked biobank dataPreprint

Li, B., Veturi, Y., Lucas, A., Bradford, Y., Verma, S. S., Verma, A., Park, J., Wei, W., Feng, Q., Namjou, B., et al. (2021) · medRxiv · doi:10.1101/2021.10.21.21265225 · Cited by 3

Semantic alignment of the German Human Genome-Phenome Archive metadata model in Europe’s genomics field

Mauer, K., Iyappan, A., Parker, S., Sürün, B., Tremper, G., Menges, P., Kuchenbecker, L., Kırlı, K., Schultze, J. L., Nahnsen, S., et al. (2026) · Scientific Data · doi:10.1038/s41597-026-06575-y · Cited by 3

Association of the GRIK4 rs1954787 polymorphism with clinical response in antidepressant-treated depressed patients: results from a prospective cohort and meta-analysis

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