The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease
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Citations
Cites
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
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
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LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
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Abdominal obesity and metabolic syndrome
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GTEx Consortium (2017) · Nature · doi:10.1038/nature24277 · Cited by 4,036
Next-generation genotype imputation service and methods
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Cited by
Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300
Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987
Atherosclerosis: Recent developments
Björkegren, J. L. M., & Lusis, A. J. (2022) · Cell · doi:10.1016/j.cell.2022.04.004 · Cited by 1,249
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Suzuki, K., Hatzikotoulas, K., Southam, L., Taylor, H. J., Yin, X., Lorenz, K. M., Mandla, R., Huerta-Chagoya, A., Melloni, G. E. M., Kanoni, S., et al. (2024) · Nature · doi:10.1038/s41586-024-07019-6 · Cited by 606
Self-citationO’Sullivan, J. W., Raghavan, S., Marquez-Luna, C., Luzum, J. A., Damrauer, S. M., Ashley, E. A., O’Donnell, C. J., Willer, C. J., Natarajan, P., & on behalf of the American Heart Association Council on Genomic and Precision Medicine; Council on Clinical Cardiology; Council on Arteriosclerosis, T. A. V. B. C. O. C. R. A. I. C. O. L. A. C. H. A. C. O. P. V. D. (2022) · Circulation · doi:10.1161/cir.0000000000001077 · Cited by 412
Metadata
- Authors
- Koyama, S., Ito, K., Terao, C., Akiyama, M., Horikoshi, M., Momozawa, Y., Matsunaga, H., Ieki, H., Ozaki, K., Onouchi, Y., Takahashi, A., Nomura, S., Morita, H., Akazawa, H., Kim, C., Seo, J.-S., Higasa, K., Iwasaki, M., Yamaji, T., Sawada, N., Tsugane, S., Koyama, T., Ikezaki, H., Takashima, N., Tanaka, K., Arisawa, K., Kuriki, K., Naito, M., Wakai, K., Suna, S., Sakata, Y., Sato, H., Hori, M., Sakata, Y., Matsuda, K., Murakami, Y., Aburatani, H., Kubo, M., Matsuda, F., Kamatani, Y., & Komuro, I.
- Venue
- Nature Genetics
- Published
- 2020-10-05
- Volume
- 52
- Issue
- 11
- Pages
- 1169-1177
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W3090627945
- Cited by
- 367
- References
- 79
- FWCI
- 27.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease. https://app.cochat.ai/papers/10.1038/s41588-020-0705-3
- The paper
- Koyama, S., Ito, K., Terao, C., Akiyama, M., Horikoshi, M., Momozawa, Y., Matsunaga, H., Ieki, H., Ozaki, K., Onouchi, Y., Takahashi, A., Nomura, S., Morita, H., Akazawa, H., Kim, C., Seo, J.-S., Higasa, K., Iwasaki, M., Yamaji, T., . . . Komuro, I. (2020). Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease. Nature Genetics. https://doi.org/10.1038/s41588-020-0705-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
