Loos Group

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  1. Published

    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, Fornage, M., Simon, N., Castaldi, P., Casanova, R., Chung, R., Kaplan, R., Loos, Ruth, Kardia, S. L. R., Rich, S. S., Redline, S., Kelly, T., O'Connor, T., Zhao, W., Kim, W., Guo, X., Chen, Y. D. I., Sofer, T. & Trans-Omics in Precision Medicine Consortium, T. I. P. M. C., 2023, medRxiv, 41 p.

    Research output: Working paper › Preprint › Research

  2. Published

    Genomics and phenomics of body mass index reveals a complex disease network

    Huang, J., Huffman, J. E., Huang, Y., Do Valle, Í., Assimes, T. L., Raghavan, S., Voight, B. F., Liu, C., Barabási, A. L., Huang, R. D. L., Hui, Q., Nguyen, X. M. T., Ho, Y. L., Djousse, L., Lynch, J. A., Vujkovic, M., Tcheandjieu, C., Tang, H., Damrauer, S. M., Reaven, P. D. & 19 others, Miller, D., Phillips, L. S., Ng, M. C. Y., Graff, M., Haiman, C. A., Loos, Ruth, North, K. E., Yengo, L., Smith, G. D., Saleheen, D., Gaziano, J. M., Rader, D. J., Tsao, P. S., Cho, K., Chang, K. M., Wilson, P. W. F., Sun, Y. V., O’Donnell, C. J. & VA Million Veteran Program, V. M. V. P., 2022, In: Nature Communications. 13, 1, 10 p., 7973.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    TOP-LD: A tool to explore linkage disequilibrium with TOPMed whole-genome sequence data

    Huang, L., Rosen, J. D., Sun, Q., Chen, J., Wheeler, M. M., Zhou, Y., Min, Y. I., Kooperberg, C., Conomos, M. P., Stilp, A. M., Rich, S. S., Rotter, J. I., Manichaikul, A., Loos, R. J. F., Kenny, E. E., Blackwell, T. W., Smith, A. V., Jun, G., Sedlazeck, F. J., Metcalf, G. & 6 others, Boerwinkle, E., Raffield, L. M., Reiner, A. P., Auer, P. L., Li, Y. & NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, N. T. F. P. M. (. C., 2022, In: American Journal of Human Genetics. 109, 6, p. 1175-1181 7 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    The power of TOPMed imputation for the discovery of Latino-enriched rare variants associated with type 2 diabetes

    Huerta-Chagoya, A., Schroeder, P., Mandla, R., Deutsch, A. J., Zhu, W., Petty, L., Yi, X., Cole, J. B., Udler, M. S., Dornbos, P., Porneala, B., DiCorpo, D., Liu, C. T., Li, J. H., Szczerbiński, L., Kaur, V., Kim, J., Lu, Y., Martin, A., Eizirik, D. L. & 31 others, Marchetti, P., Marselli, L., Chen, L., Srinivasan, S., Todd, J., Flannick, J., Gubitosi-Klug, R., Levitsky, L., Shah, R., Kelsey, M., Burke, B., Dabelea, D. M., Divers, J., Marcovina, S., Stalbow, L., Loos, Ruth, Darst, B. F., Kooperberg, C., Raffield, L. M., Haiman, C., Sun, Q., McCormick, J. B., Fisher-Hoch, S. P., Ordoñez, M. L., Meigs, J., Baier, L. J., González-Villalpando, C., González-Villalpando, M. E., Orozco, L., García-García, L. & Mexican Biobank, M. B., 2023, In: Diabetologia. 66, p. 1273-1288 16 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas

    Hughes, O., Bentley, A. R., Breeze, C. E., Aguet, F., Xu, X., Nadkarni, G., Sun, Q., Lin, B. M., Gilliland, T., Meyer, M. C., Du, J., Raffield, L. M., Kramer, H., Morton, R. W., Gouveia, M. H., Atkinson, E. G., Valladares-Salgado, A., Wacher-Rodarte, N., Dueker, N. D., Guo, X. & 54 others, Hai, Y., Adeyemo, A., Best, L. G., Cai, J., Chen, G., Chong, M., Doumatey, A., Eales, J., Goodarzi, M. O., Ipp, E., Irvin, M. R., Jiang, M., Jones, A. C., Kooperberg, C., Krieger, J. E., Lange, E. M., Lanktree, M. B., Lash, J. P., Lotufo, P. A., Loos, Ruth, Ha My, V. T., Peralta-Romero, J., Qi, L., Raffel, L. J., Rich, S. S., Rodriquez, E. J., Tarazona-Santos, E., Taylor, K. D., Umans, J. G., Wen, J., Young, B. A., Yu, Z., Zhang, Y., Ida Chen, Y. D., Rundek, T., Rotter, J. I., Cruz, M., Fornage, M., Lima-Costa, M. F., Pereira, A. C., Paré, G., Natarajan, P., Cole, S. A., Carson, A. P., Lange, L. A., Li, Y., Perez-Stable, E. J., Do, R., Charchar, F. J., Tomaszewski, M., Mychaleckyj, J. C., Rotimi, C., Morris, A. P. & Franceschini, N., 2024, In: Cell Genomics. 4, 1, 13 p., 100468.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Persistent thinness and anorexia nervosa differ on a genomic level

    Hübel, C., Abdulkadir, M., Herle, M., Palmos, A. B., Loos, Ruth, Breen, G., Micali, Nadia & Bulik, C. M., 2024, In: European Journal of Human Genetics. 32, 1, p. 117-124

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    PFAS Exposures and the Human Metabolome: A Systematic Review of Epidemiological Studies

    India-Aldana, S., Yao, M., Midya, V., Colicino, E., Chatzi, L., Chu, J., Gennings, C., Jones, D. P., Loos, Ruth, Setiawan, V. W., Smith, M. R., Walker, R. W., Barupal, D., Walker, D. I. & Valvi, D., 2023, In: Current Pollution Reports. 9, p. 510-568

    Research output: Contribution to journal › Review › Research › peer-review

  8. Published

    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, Kardia, S. L. R., Lewis, J. P., Loos, Ruth, Ma, X., Machiela, M. J., Mack, T. M., Mathias, R. A., Mitchell, B. D., Mychaleckyj, J. C., North, K., Pankratz, N., Peyser, P. A., Preuss, M. H., Psaty, B., Raffield, L. M., Vasan, R. S., Redline, S., Rich, S. S., Rotter, J. I., Silverman, E. K., Smith, J. A., Smith, A. P., Taub, M., Taylor, K. D., Yun, J., Li, Y., Desai, P., Bick, A. G., Reiner, A. P., Scheet, P. & Auer, P. L., 2023, In: Nature Genetics. 55, 11, p. 1912-1919 8 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Precision medicine in complex diseases - Molecular subgrouping for improved prediction and treatment stratification

    Johansson, Å., Andreassen, O. A., Brunak, Søren, Franks, P. W., Hedman, H., Loos, Ruth, Meder, B., Melén, E., Wheelock, C. E. & Jacobsson, B., 2023, In: Journal of Internal Medicine. 294, 4, p. 378-396 19 p.

    Research output: Contribution to journal › Review › Research › peer-review

  10. Published

    A second update on mapping the human genetic architecture of COVID-19

    Kanai, M., Andrews, S., Cordioli, M., Stevens, C., Neale, B. M., Daly, M., Ganna, A., Pathak, G. A., Ellinghaus, D., Banasik, K., Brunak, S., Pedersen, O. B., Westergaard, D., Sequeros, C. B., Nissen, J., Feldt-Rasmussen, U., Grønbæk, K., Ostrowski, S. R., Guindo-Martinez, M., Garcia, S. M. & 70 others, Hjalgrim, Henrik, Admin team lead, A. T. L., Admin team member, A. T. M., Analysis team lead, A. T. L., Analysis team member, A. T. M., Data collection lead, D. C. L., Data collection member, D. C. M., Manuscript analysis team lead, M. A. T. L., Manuscript analysis team members: Mendelian randomization, M. A. T. M. M. R., Manuscript analysis team members: methods development, M. A. T. M. M. D., Manuscript analysis team members: phenome-wide association study, M. A. T. M. P. A. S., Manuscript analysis team members: principal component projection, gene prioritization, M. A. T. M. P. C. P. G. P., Project management lead, P. M. L., Scientific communication lead, S. C. L., Scientific communication member, S. C. M., Writing group lead, W. G. L., Writing group member, W. G. M., 23andMe, 2., Adolescent brain and cognitive development study, A. B. A. C. D. S., Analysis group, A. G., Armenia_Covid-19hg, A., Assessment of the influence of clinical, functional, immunological and genetic factors on the severity of the course of coronavirus infection with SARS-CoV-2 and post-COVID syndrome, A. O. T. I. O. C. F. I. A. G. F. O. T. S. O. T. C. O. C. I. W. S. A. P. S., Avon Longitudinal Study of Parents and Children (ALSPAC), A. L. S. O. P. A. C. (., BelCovid, B., Biobanque Quebec COVID19, B. Q. C., BioVU, B., Bonn Study of COVID-19 Genetics, B. S. O. C. G., CGEn HostSeq—Canadian COVID-19 Human Host Genome Sequencing Databank, C. H. C. H. H. G. S. D., Colorado Center for Personalized Medicine—CCPM, C. C. F. P. M., COMRI/Virology Study, C. S., Covid19 Ioannina Biobank, C. I. B., COVID19-Host(a)ge, C., Covid19hg-CL, C., Danish COVID-19 Genomic Consortium, D. C. G. C., Egypt hgCOVID hub, E. H. H., EraCORE, E., FinnGen, F., French hgCOVID, F. H., GCAT. Genomes For Life, G. G. F. L., Genes & Health, G. &. H., Genetic influences on severity of COVID-19 illness in Korea, G. I. O. S. O. C. I. I. K., GenOMICC, G., Genotek COVID-19 study, G. C. S., Helix Exome+ COVID-19 Phenotypes, H. E. C. P., Host Genetic Factors for COVID-19 Severity and Outcome in Western Indian Population, H. G. F. F. C. S. A. O. I. W. I. P., Host Genetics in COVID Cohorts of Mixed ancestry from Mexico, H. G. I. C. C. O. M. A. F. M., Japan Coronavirus Taskforce, J. C. T., Japan NCGM-COVID19, J. N., Jordan COVID-19 Host Genomics Initiative (JCHGI), J. C. H. G. I. (., Leadership, L., Lung eQTL Consortium, L. E. C., Mass General Brigham—Host Vulnerability to COVID-19, M. G. B. V. T. C., MexGen-COVID, M., Pa-COVID-19, P., Project management group, P. M. G., Project management support, P. M. S., Qatar Genome Program, Q. G. P., SARS-CoV-2 and Host Genome sequencing, S. A. H. G. S., Scientific communication group, S. C. G., Search for Genomic Markers Predicting the Severity of the response to COVID-19, S. F. G. M. P. T. S. O. T. R. T. C., Spanish COalition to Unlock Research on host GEnetics on COVID-19 (SCOURGE), S. C. T. U. R. O. H. G. O. C. (., The Danish Blood Donor Study, T. D. B. D. S., The Genetic Predisposition to severe COVID-19, T. G. P. T. S. C., Tirschenreuth Study (TiKoco), T. S. (., UCLA Precision Health COVID-19 Host Genomics Biobank, U. P. H. C. H. G. B., UK Biobank, U. B., Variability in Immune Response Genes and Severity of SARS-CoV-2 Infection (INMUNGEN-CoV2 study), V. I. I. R. G. A. S. O. S. I. (. S., Website development, W. D., Writing Group, W. G. & The COVID-19 Host Genetics Initiative, T. C. H. G. I., 2023, In: Nature. 621, 7977, p. E7-E26 23 p.

    Research output: Contribution to journal › Comment/debate › Research › peer-review

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