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Islet autoantibodies as precision diagnostic tools to characterize heterogeneity in type 1 diabetes: a systematic review
ADA/EASD PMDI, A. P., Merino, Jordi, Thuesen, Anne Cathrine Baun, Lepola, Mette Andersen, Clemmensen, Christoffer, Hansen, Torben, Nakabuye, Mariam, Loos, Ruth, Guasch Ferre, Marta & Vilsbøll, Tina, 2024, In: Communications Medicine. 4, 1, 8 p., 66.Research output: Contribution to journal › Journal article › Research › peer-review
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Lifestyle and demographic associations with 47 inflammatory and vascular stress biomarkers in 9876 blood donors
Kjerulff, B., Dowsett, J., Jacobsen, R. L., Gladov, J., Larsen, M. H., Lundgaard, A. T., Banasik, K., Westergaard, D., Mikkelsen, S., Dinh, K. M., Hindhede, L., Kaspersen, K. A., Schwinn, M., Juul, A., Poulsen, B., Lindegaard, B., Pedersen, C. B., Sabel, C. E., Bundgaard, H., Nielsen, H. S. & 30 others, , 2024, In: Communications Medicine. 4, 15 p., 50.Research output: Contribution to journal › Journal article › Research › peer-review
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Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores
Hrytsenko, Y., Shea, B., Elgart, M., Kurniansyah, N., Lyons, G., Morrison, A. C., Carson, A. P., Haring, B., Mitchel, B. D., Psaty, B. M., Jaeger, B. C., Gu, C. C., Kooperberg, C., Levy, D., Lloyd-Jones, D., Choi, E., Brody, J. A., Smith, J. A., Rotter, J. I., Moll, M. & 18 others, , 2023, medRxiv, 41 p.Research output: Working paper › Preprint › Research
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Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores
Hrytsenko, Y., Shea, B., Elgart, M., Kurniansyah, N., Lyons, G., Morrison, A. C., Carson, A. P., Haring, B., Mitchell, B. D., Psaty, B. M., Jaeger, B. C., Gu, C. C., Kooperberg, C., Levy, D., Lloyd-Jones, D., Choi, E., Brody, J. A., Smith, J. A., Rotter, J. I., Moll, M. & 17 others, , 2024, In: Scientific Reports. 14, 17 p., 12436.Research output: Contribution to journal › Journal article › Research › peer-review
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MagicalRsq-X: A cross-cohort transferable genotype imputation quality metric
Sun, Q., Yang, Y., Rosen, J. D., Chen, J., Li, X., Guan, W., Jiang, M-Z., Wen, J., Pace, R. G., Blackman, S. M., Bamshad, M. J., Gibson, R. L., Cutting, G. R., O'Neal, W. K., Knowles, M. R., Kooperberg, C., Reiner, A. P., Raffield, L. M., Carson, A. P., Rich, S. S. & 7 others, , 2024, In: American Journal of Human Genetics. 111, 5, p. 990-995 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Mapping the human genetic architecture of COVID-19
Niemi, M. E. K., Karjalainen, J., Liao, R. G., Neale, B. M., Daly, M., Ganna, A., Pathak, G. A., Andrews, S. J., Kanai, M., Veerapen, K., Fernandez-Cadenas, I., Schulte, E. C., Striano, P., Marttila, M., Minica, C., Marouli, E., Karim, M. A., Wendt, F. R., Savage, J., Sloofman, L. & 41 others, , 2021, In: Nature. 600, p. 472-477Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential
Nakao, T., Bick, A. G., Taub, M. A., Zekavat, S. M., Uddin, M. M., Niroula, A., Carty, C. L., Lane, J., Honigberg, M. C., Weinstock, J. S., Pampana, A., Gibson, C. J., Griffin, G. K., Clarke, S. L., Bhattacharya, R., Assimes, T. L., Emery, L. S., Stilp, A. M., Wong, Q., Broome, J. & 32 others, , 2022, In: Science Advances. 8, 14, eabl6579.Research output: Contribution to journal › Journal article › Research › peer-review
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Mosaic chromosomal alterations in blood across ancestries using whole-genome sequencing
Jakubek, Y. A., Zhou, Y., Stilp, A., Bacon, J., Wong, J. W., Ozcan, Z., Arnett, D., Barnes, K., Bis, J. C., Boerwinkle, E., Brody, J. A., Carson, A. P., Chasman, D. I., Chen, J., Cho, M., Conomos, M. P., Cox, N., Doyle, M. F., Fornage, M., Guo, X. & 31 others, , 2023, In: Nature Genetics. 55, 11, p. 1912-1919 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
Mahajan, A., Spracklen, C. N., Zhang, W., Ng, M. C. Y., Petty, L. E., Kitajima, H., Yu, G. Z., Rüeger, S., Speidel, L., Kim, Y. J., Horikoshi, M., Mercader, J. M., Taliun, D., Moon, S., Kwak, S-H., Robertson, N. R., Rayner, N. W., Loh, M., Kim, B-J., Chiou, J. & 31 others, , 2022, In: Nature Genetics. 54, 5, p. 560-572 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference
Meng, X., Navoly, G., Giannakopoulou, O., Levey, D. F., Koller, D., Pathak, G. A., Koen, N., Lin, K., Adams, M. J., Rentería, M. E., Feng, Y., Gaziano, J. M., Stein, D. J., Zar, H. J., Campbell, M. L., van Heel, D. A., Trivedi, B., Finer, S., McQuillin, A., Bass, N. & 58 others, , 2024, In: Nature Genetics. 56, 2, p. 222–233Research output: Contribution to journal › Journal article › Research › peer-review
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Developmental language disorder – a comprehensive study of more than 46,000 individuals
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A saturated map of common genetic variants associated with human height
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Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention
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Aficamten for Symptomatic Obstructive Hypertrophic Cardiomyopathy
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