Estrada, Karol
BioMarin (United States)
23 papers on CoChatORCID 0000-0003-3224-2955
Most cited papers
- Verified
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 9,587
- Verified
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 4,534
- Verified
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 2,912
- Verified
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Lango Allen, H., Estrada, K., Lettre, G., Berndt, S. I., Weedon, M. N., Rivadeneira, F., Willer, C. J., Jackson, A. U., Vedantam, S., Raychaudhuri, S., et al. (2010) · Nature
Genetic Associations and EpidemiologyGenetics and Physical Performance
Cited by 1,945
- Verified
Defining the role of common variation in the genomic and biological architecture of adult human height
The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics
Genetic Associations and EpidemiologyGenetics and Physical Performance
Cited by 1,853
- Verified
New genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature
Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases
Cited by 1,580
- Verified
Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution
MAGIC, Heid, I. M., Jackson, A. U., Randall, J. C., Winkler, T. W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M. C., Speliotes, E. K., et al. (2010) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 931
- Verified
Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.
Zheng, J., Haberland, V., Baird, D., Walker, V., Haycock, P., Hurle, M., Gutteridge, A., Erola, P., Liu, Y., Luo, S., et al. (2019) · Nature Genetics
Genetic Associations and EpidemiologyBioinformatics and Genomic Networks
Cited by 812
- Verified
Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
Berndt, S. I., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau-Chonka, D. C., Day, F. R., et al. (2013) · Nature Genetics
Genetic Associations and EpidemiologyGenetics and Physical Performance
Cited by 646
- Verified
Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes
Schwartzentruber, J., Cooper, S., Liu, J. Z., Barrio-Hernandez, I., Bello, E., Kumasaka, N., Young, A. M. H., Franklin, R. J. M., Johnson, T., Estrada, K., et al. (2021) · Nature Genetics
Alzheimer's disease research and treatmentsGenetic Associations and Epidemiology
Cited by 532
- Verified
The genetics of Mexico recapitulates Native American substructure and affects biomedical traits
Moreno-Estrada, A., Gignoux, C. R., Fernández-López, J. C., Zakharia, F., Sikora, M., Contreras, A. V., Acuña-Alonzo, V., Sandoval, K., Eng, C., Romero-Hidalgo, S., et al. (2014) · Science
Forensic and Genetic ResearchGenetic diversity and population structure
Cited by 478
- Verified
Quantifying prion disease penetrance using large population control cohorts
Minikel, E. V., Vallabh, S. M., Lek, M., Estrada, K., Samocha, K. E., Sathirapongsasuti, J. F., McLean, C. Y., Tung, J. Y., Yu, L. P. C., Gambetti, P., et al. (2016) · Science Translational Medicine
Prion Diseases and Protein MisfoldingGenomics and Rare Diseases
Cited by 442
- Verified
Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile
Kilpeläinen, T. O., Zillikens, M. C., Stančákova, A., Finucane, F. M., Ried, J. S., Langenberg, C., Zhang, W., Beckmann, J. S., Luan, J., Vandenput, L., et al. (2011) · Nature Genetics
Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases
Cited by 335
- Verified
Genetic evidence of assortative mating in humans
Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 326
- Verified
Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models
Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 295
- Verified
Meta-analysis of genome-wide association data identifies two loci influencing age at menarche
Perry, J. R. B., Stolk, L., Franceschini, N., Lunetta, K. L., Zhai, G., McArdle, P. F., Smith, A. V., Aspelund, T., Bandinelli, S., Boerwinkle, E., et al. (2009) · Nature Genetics
Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology
Cited by 294
- Verified
Association of a Low-Frequency Variant in HNF1A With Type 2 Diabetes in a Latino Population
Estrada, K., Aukrust, I., Bjørkhaug, L., Burtt, N. P., Mercader, J. M., García-Ortiz, H., Huerta-Chagoya, A., Moreno-Macías, H., Walford, G., Flannick, J., et al. (2014) · JAMA
Genetic Associations and EpidemiologyDiabetes and associated disorders
Cited by 259
- Verified
BIN1 favors the spreading of Tau via extracellular vesicles
Crotti, A., Sait, H. R., McAvoy, K. M., Estrada, K., Ergun, A., Szak, S., Marsh, G., Jandreski, L., Peterson, M., Reynolds, T. L., et al. (2019) · Scientific Reports
Alzheimer's disease research and treatmentsExtracellular vesicles in disease
Cited by 171
- Verified
Association of a Genetic Risk Score With Body Mass Index Across Different Birth Cohorts
Walter, S., Mejía-Guevara, I., Estrada, K., Liu, S. Y., & Glymour, M. M. (2016) · JAMA
Genetic Associations and EpidemiologyNutrition, Genetics, and Disease
Cited by 130
- Verified
Harnessing peripheral DNA methylation differences in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to reveal novel biomarkers of disease
Vasanthakumar, A., Davis, J. W., Idler, K., Waring, J. F., Asque, E., Riley-Gillis, B., Grosskurth, S., Srivastava, G., Kim, S., Nho, K., et al. (2020) · Clinical Epigenetics
Dementia and Cognitive Impairment ResearchEpigenetics and DNA Methylation
Cited by 98
- Verified
Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data
De Velasco Oriol, J., Vallejo, E. E., Estrada, K., Taméz Peña, J. G., & Disease Neuroimaging Initiative, T. A. (2019) · BMC Bioinformatics
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 71
- Verified
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Marinescu, R. V., Oxtoby, N. P., Young, A. L., Bron, E. E., Toga, A. W., Weiner, M. W., Barkhof, F., Fox, N. C., Eshaghi, A., Toni, T., et al. (2021) · Machine Learning for Biomedical Imaging
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 68
- Verified
Identifying therapeutic drug targets using bidirectional effect genes
Estrada, K., Froelich, S., Wuster, A., Bauer, C. R., Sterling, T., Clark, W. T., Ru, Y., Trinidad, M., Nguyen, H. P., Luu, A. R., et al. (2021) · Nature Communications
Genomics and Rare DiseasesGenetic Associations and Epidemiology
Cited by 25
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