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Prediction of acute myeloid leukaemia risk in healthy individuals
Open accessAbstract
The incidence of acute myeloid leukaemia (AML) increases with age and mortality exceeds 90% when diagnosed after age 65. Most cases arise without any detectable early symptoms and patients usually present with the acute complications of bone marrow failure 1. The onset of such de novo AML cases is typically preceded by the accumulation of somatic mutations in preleukaemic haematopoietic stem and progenitor cells (HSPCs) that undergo clonal expansion 2,3. However, recurrent AML mutations also accumulate in HSPCs during ageing of healthy individuals who do not develop AML, a phenomenon referred to as age-related clonal haematopoiesis (ARCH)4-8. Here we use deep sequencing to analyse genes that are recurrently mutated in AML to distinguish between individuals who have a high risk of developing AML and those with benign ARCH. We analysed peripheral blood cells from 95 individuals that were obtained on average 6.3 years before AML diagnosis (pre-AML group), together with 414 unselected age- and gender-matched individuals (control group). Pre-AML cases were distinct from controls and had more mutations per sample, higher variant allele frequencies, indicating greater clonal expansion, and showed enrichment of mutations in specific genes. Genetic parameters were used to derive a model that accurately predicted AML-free survival; this model was validated in an independent cohort of 29 pre-AML cases and 262 controls. Because AML is rare, we also developed an AML predictive model using a large electronic health record database that identified individuals at greater risk. Collectively our findings provide proof-of-concept that it is possible to discriminate ARCH from pre-AML many years before malignant transformation. This could in future enable earlier detection and monitoring, and may help to inform intervention.
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“Furthermore, progression to hematological malignancies depends on the type and complexity of mutations in CHIP.2,5,6”
From Aging drives Tet2 +/− clonal hematopoiesis via IL-1 signaling (2023) · cites this paper as [5]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“CH-associated variants of the epigenetic writers and erasers Dnmt3a and Tet2, respectively, that affect the HSPC methylome have been shown to alter functions of monocyte-derived tissue M F and promote cardiovascular pathologies 31-34 .”
From Clonal hematopoiesis-associated motoric deficits caused by monocyte-derived microglia accumulating in aging mice (2025) · cites this paper as [34]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“CH prominently involves variants of epigenetic regulatory genes, such as DNMT3A and TET2, which constitute an increased risk for hematologic malignancies, cardiovascular events and stroke 34,45,70,71 .”
From Clonal hematopoiesis-associated motoric deficits caused by monocyte-derived microglia accumulating in aging mice (2025) · cites this paper as [34]
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“Clone size, which is approximated by the variant allele fraction (VAF), has previously been shown to be an important predictor of risk for blood cancer1,17 and cardiovascular outcomes8,9.”
From Clonal hematopoiesis is associated with protection from Alzheimer’s disease (2023) · cites this paper as [17]
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“CH prominently involves variants of epigenetic regulatory genes, such as DNMT3A and TET2, which constitute an increased risk for hematologic malignancies, cardiovascular events and stroke 34,45,70,71 .”
From Clonal hematopoiesis-associated motoric deficits caused by monocyte-derived microglia accumulating in aging mice (2025) · cites this paper as [34]
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“Both groups found that individuals with antecedent clonal hematopoiesis were at ~3 to 5-fold increased risk for developing AML in the subsequent years (Fig. 3A).”
From Clonal hematopoiesis in human aging and disease (2019) · cites this paper as [71]
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“The effect of specific gene variants on various outcomes may be quite different, as has been found in AML 71.”
From Clonal hematopoiesis in human aging and disease (2019) · cites this paper as [71]
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
Arber, D. A., Orazi, A., Hasserjian, R., Thiele, J., Borowitz, M. J., Le Beau, M. M., Bloomfield, C. D., Cazzola, M., & Vardiman, J. W. (2016) · Blood · doi:10.1182/blood-2016-03-643544 · Cited by 10,119
Modeling Survival Data: Extending the Cox Model
Therneau, T. M., & Grambsch, P. M. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4757-3294-8 · Cited by 8,674
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencingPreprint
Koboldt, D. C., Zhang, Q., Larson, D. E., Shen, D., McLellan, M. D., Lin, L., Miller, C. A., Mardis, E. R., Ding, L., & Wilson, R. K. (2012) · Genome Research · doi:10.1101/gr.129684.111 · Cited by 4,954
Age-related clonal hematopoiesis associated with adverse outcomes
Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408617 · Cited by 4,841
Genomic classification and prognosis in acute myeloid leukemia
Papaemmanuil, E., Gerstung, M., Bullinger, L., Gaidzik, V. I., Paschka, P., Roberts, N. D., Potter, N. E., Heuser, M., Thol, F., Bolli, N., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1516192 · Cited by 4,350
Self-citationClonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence
Genovese, G., Kähler, A. K., Handsaker, R. E., Lindberg, J., Rose, S. A., Bakhoum, S. F., Chambert, K., Mick, E., Neale, B. M., Fromer, M., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1409405 · Cited by 3,531
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Items 301–400 of 847
Goldman, E. A., Spellman, P. T., & Agarwal, A. (2023) · Molecular Case Studies · doi:10.1101/mcs.a006251 · Cited by 25
Disordered haematopoiesis and cardiovascular disease: a focus on myelopoiesis
Dragoljevic, D., Westerterp, M., Veiga, C. B., Nagareddy, P. R., & Murphy, A. J. (2018) · Clinical Science · doi:10.1042/cs20180111 · Cited by 20
Venugopal, K., Feng, Y., Nowialis, P., Xu, H., Shabashvili, D. E., Berntsen, C. M., Kaur, P., Krajcik, K. I., Taragjini, C., Zaroogian, Z., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-2863 · Cited by 22
Wu, J., Zhang, Y., Li, X., Ren, J., Chen, L., Chen, J., & Cao, Y. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.07.017 · Cited by 22
CHIPing away the progression potential of CHIP: A new reality in the making
Xie, Z., & Zeidan, A. M. (2022) · Blood Reviews · doi:10.1016/j.blre.2022.101001 · Cited by 22
Clichet, V., Lebon, D., Chapuis, N., Zhu, J., Bardet, V., Marolleau, J., Garçon, L., Caulier, A., & Boyer, T. (2023) · Haematologica · doi:10.3324/haematol.2022.282370 · Cited by 23
Mouhieddine, T. H., Nzerem, C., Redd, R. A., Dunford, A. J., Leventhal, M. J., Sklavenitis‐Pistofidis, R., Tahri, S., El‐Khoury, H., Steensma, D. P., Ebert, B. L., et al. (2023) · Cancer Research Communications · doi:10.1158/2767-9764.crc-23-0093 · Cited by 22
Awada, H., Gurnari, C., Visconte, V., Durmaz, A., Kuzmanovic, T., Awada, H. K., Tu, Z. J., Cook, J. R., Bolwell, B. J., Sobecks, R. M., et al. (2024) · Leukemia · doi:10.1038/s41375-024-02258-y · Cited by 27
Sill, H., Zebisch, A., & Haase, D. T. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-2272 · Cited by 23
Desai, P. M., Zhou, Y., Grenet, J. E., Handelman, S. K., Crispino, C., Tarbay, L. N., Whitsel, E. A., Roboz, G. J., Barac, A., Honigberg, M. C., et al. (2024) · Cancer · doi:10.1002/cncr.35455 · Cited by 20
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Schleicher, W. E., Hoag, B., Dominici, M. D., DeGregori, J. V., & Pietras, E. M. (2024) · Journal of Clinical Investigation · doi:10.1172/jci180068 · Cited by 23
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Uryu, H., Saeki, K., Haeno, H., Kapadia, C. D., Furudate, K., Nangalia, J., Chapman, M. S., Zhang, L., Padilla, J., Zhao, L., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02235-w · Cited by 26
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Lee, J., Godfrey, A. L., & Nangalia, J. (2020) · Blood Reviews · doi:10.1016/j.blre.2020.100708 · Cited by 21
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Christen, F., Hablesreiter, R., Hoyer, K., Hennch, C., Maluck-Böttcher, A., Segler, A., Madadi, A., Frick, M., Bullinger, L., Briest, F., et al. (2021) · Leukemia · doi:10.1038/s41375-021-01469-x · Cited by 22
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Álvarez, S., Almeida, A. C. D. S., Alberó, R., Biswas, M., Barreto-Galvez, A., Gunning, T. S., Shaikh, A., Aparicio, T., Wendorff, A. A., Piovan, E., et al. (2022) · Blood · doi:10.1182/blood.2021014103 · Cited by 21
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Wang, K., Zhang, W., Yi, L., Zhao, M., Li, P.-Y., Fu, M.-H., Lin, R., Zhu, Y., Li, J., Yang, W., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319364121 · Cited by 24
In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction From Basic Patient Characteristics
Zhang, B., Cui, Y., Wang, M., Li, J., Jin, L., & Wu, D. (2019) · IEEE Access · doi:10.1109/access.2019.2940588 · Cited by 22
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Lyne, A.-M., Laplane, L., & Perié, L. (2020) · Blood · doi:10.1182/blood.2020008407 · Cited by 26
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van Zeventer, I. A., de Graaf, A. O., Koorenhof‐Scheele, T. N., van der Reijden, B. A., van der Klauw, M. M., Dinmohamed, A. G., Diepstra, A., Schuringa, J. J., Malcovati, L., Huls, G. A., et al. (2022) · Blood Advances · doi:10.1182/bloodadvances.2021006755 · Cited by 21
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Yang, Z., Shang, J., Li, N., Zhang, L., Tang, T., Tian, G., & Chen, X. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15109 · Cited by 20
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Saiki, R., Momozawa, Y., Nannya, Y., Nakagawa, M. M., Ochi, Y., Yoshizato, T., Terao, C., Kuroda, Y., Shiraishi, Y., Chiba, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.05.433727 · Cited by 22
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Quin, C., DeJong, E. N., McNaughton, A. J. M., Buttigieg, M. M., Basrai, S., Abelson, S., LARCHÉ, M. J., Rauh, M. J., & Bowdish, D. M. E. (2024) · Blood Advances · doi:10.1182/bloodadvances.2023011833 · Cited by 20
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Joo, L., Bradley, C. C., Lin, S. H., Scheet, P. A., & Nead, K. T. (2023) · Current Oncology Reports · doi:10.1007/s11912-023-01362-z · Cited by 23
Mangaonkar, A. A., & Patnaik, M. M. (2023) · American Journal of Hematology · doi:10.1002/ajh.26915 · Cited by 20
Franch‐Expósito, S., Mehine, M. M., Ptashkin, R. N., Bolton, K. L., Bandlamudi, C., Srinivasan, P., Zhang, L., Goodell, M. A., Gedvilaite, E., Menghrajani, K. N., et al. (2023) · JCO Precision Oncology · doi:10.1200/po.23.00070 · Cited by 21
Badar, T., Vanegas, Y. A. M., Nanaa, A., Foran, J. M., Al‐Kali, A., Mangaonkar, A. A., Murthy, H. S., Alkhateeb, H. B., Viswanatha, D. S., He, R. L., et al. (2023) · Blood Cancer Journal · doi:10.1038/s41408-023-00922-7 · Cited by 21
Uckelmann, H. J., & Armstrong, S. A. (2020) · Stem Cell Reports · doi:10.1016/j.stemcr.2020.05.013 · Cited by 20
Rosenberg, C. A., Bill, M., Rodrigues, M. A., Hauerslev, M., Kerndrup, G. B., Hokland, P., & Ludvigsen, M. (2020) · Cytometry Part B Clinical Cytometry · doi:10.1002/cyto.b.21975 · Cited by 20
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Kaner, J. D., Desai, P. M., Mencia-Trinchant, N., Guzmán, M. L., Roboz, G. J., & Hassane, D. C. (2019) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a035675 · Cited by 20
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Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
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Woll, P. S., Yoshizato, T., Hellström‐Lindberg, E., Fioretos, T., Ebert, B. L., & Jacobsen, S. E. W. (2022) · Journal of Internal Medicine · doi:10.1111/joim.13535 · Cited by 15
Yu, T., Wei, L., & You, H. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2022.954524 · Cited by 18
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Keleş, H. (2022) · Kırıkkale Üniversitesi Tıp Fakültesi Dergisi · doi:10.24938/kutfd.1214512 · Cited by 25
Kim, K. H., Kim, T., Novitzky‐Basso, I., Lee, H., Yoo, Y., Ahn, J., Pašić, I., Law, A., Lam, W., Michelis, F. V., et al. (2023) · Haematologica · doi:10.3324/haematol.2022.281806 · Cited by 17
Chronic inflammation can transform the fate of normal and mutant hematopoietic stem cells
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High-risk and silent clonal hematopoietic genotypes in patients with nonhematologic cancer
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Soto, C. A., Celso, C. L., Purton, L. E., & Frisch, B. J. (2021) · JBMR Plus · doi:10.1002/jbm4.10516 · Cited by 19
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Liu, Y., Derkach, A., Lewis, N. E., Zhu, M., Zhang, Y., Arcila, M. E., Salles, G., Doǧan, A., & Xiao, W. (2022) · Haematologica · doi:10.3324/haematol.2022.281724 · Cited by 18
Pangallo, J., Kiladjian, J., Cassinat, B., Renneville, A., Taylor, J., Polaski, J. T., North, K., Abdel-Wahab, O. I., & Bradley, R. K. (2020) · Blood · doi:10.1182/blood.2019002894 · Cited by 19
Preleukemic and leukemic evolution at the stem cell level
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The Impact of the Cellular Origin in Acute Myeloid Leukemia: Learning From Mouse Models
Fisher, J. N., Kalleda, N., Stavropoulou, V., & Schwaller, J. (2019) · HemaSphere · doi:10.1097/hs9.0000000000000152 · Cited by 19
Feldkamp, J. D., Vetter, V. M., Arends, C. M., Lang, T. J. L., Bullinger, L., Damm, F., Demuth, I., & Frick, M. (2022) · Haematologica · doi:10.3324/haematol.2021.280021 · Cited by 18
Clonal Hematopoiesis of Indeterminate Potential: Current Understanding and Future Directions
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Yamaguchi, T., Ikegami, M., Aruga, T., Kanemasa, Y., Horiguchi, S., Kawai, K., Takao, M., Yamada, T., & Ishida, H. (2024) · International Journal of Clinical Oncology · doi:10.1007/s10147-024-02554-8 · Cited by 16
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Yi, J., Zhou, L.-Y., Yi, Y., Zhu, X. J., Su, X., Zhao, Q., Lin, J., Qian, J., & Deng, Z. (2019) · Medical Science Monitor · doi:10.12659/msm.914352 · Cited by 16
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Ramanathan, G., Hoover, B., & Fleischman, A. G. (2020) · Cancers · doi:10.3390/cancers12082038 · Cited by 20
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Gaulin, C., Kelemen, K., & Yi, C. A. (2022) · Life · doi:10.3390/life12081135 · Cited by 16
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Furer, N., Rappoport, N., Milman, O., Tavor, S., Lifshitz, A., Bercovich, A., Ben-Kiki, O., Danin, A., Kedmi, M., Shipony, Z., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03716-5 · Cited by 17
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Cai, X., Bowman, R. L., & Trowbridge, J. J. (2025) · Nature Cancer · doi:10.1038/s43018-025-01014-0 · Cited by 18
Medeiros, J. J. F., Capo‐Chichi, J., Shlush, L. I., Dick, J. E., Arruda, A., Minden, M. D., & Abelson, S. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac081 · Cited by 15
Geoerger, B., Schiff, M., Penard‐Lacronique, V., Darín, N., Saad, S.-M., Duchon, C., Lamazière, A., Desmons, A., Pontoizeau, C., Berlanga, P., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02382-9 · Cited by 15
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Franco, S., & Godley, L. A. (2024) · The Journal of Experimental Medicine · doi:10.1084/jem.20230931 · Cited by 15
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Shi, Z., Li, B., Huang, H., Qin, T., Xu, Z., Zhang, H., Fang, L., Pan, L., Hu, N., Qu, S., et al. (2019) · British Journal of Haematology · doi:10.1111/bjh.15830 · Cited by 15
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Yılmaz, H., Toy, H. I., Marquardt, S., Karakülah, G., Küçük, C., Kontou, P. I., Logotheti, S., & Pavlopoulou, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22179601 · Cited by 15
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Sheridan, M., Maqbool, M. A., Largeot, A., Clayfield, L., Xu, J., Moncaut, N., Sellers, R., Whittle, J., Paggetti, J., Iqbal, M., et al. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01610-0 · Cited by 14
Su, X., Zhao, Q., Ke, J.-M., Wu, D., Zhu, X. J., Lin, J., & Deng, Z.-Q. (2020) · Cancer Management and Research · doi:10.2147/cmar.s278499 · Cited by 14
Soerensen, J. F., Aggerholm, A., Rosenberg, C. A., Bill, M., Kerndrup, G. B., Ebbesen, L. H., Hansen, M. H., Roug, A. S., & Ludvigsen, M. (2022) · Bone Marrow Transplantation · doi:10.1038/s41409-022-01567-z · Cited by 15
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Schiroli, G., Kartha, V. K., Duarte, F. M., Kristiansen, T. A., Mayerhofer, C., Shrestha, R., Earl, A., Hu, Y., Tay, T., Rhee, C., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48508-6 · Cited by 15
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Huang, Y., Wei, J., Huang, X., Zhou, W., Xu, Y., Deng, D., & Cheng, P. (2020) · Translational Cancer Research · doi:10.21037/tcr-20-3149 · Cited by 13
Biezuner, T., Brilon, Y., Arie, A. B., Oron, B., Kadam, A., Danin, A., Furer, N., Minden, M. D., Kim, D. D. H., Shapira, S., et al. (2022) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqab125 · Cited by 13
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Metadata
- Authors
- Abelson, S., Collord, G., Ng, S. W. K., Weissbrod, O., Mendelson Cohen, N., Niemeyer, E., Barda, N., Zuzarte, P. C., Heisler, L., Sundaravadanam, Y., Luben, R., Hayat, S., Wang, T. T., Zhao, Z., Cirlan, I., Pugh, T. J., Soave, D., Ng, K., Latimer, C., Hardy, C., Raine, K., Jones, D., Hoult, D., Britten, A., McPherson, J. D., Johansson, M., Mbabaali, F., Eagles, J., Miller, J. K., Pasternack, D., Timms, L., Krzyzanowski, P., Awadalla, P., Costa, R., Segal, E., Bratman, S. V., Beer, P., Behjati, S., Martincorena, I., Wang, J. C. Y., Bowles, K. M., Quirós, J. R., Karakatsani, A., La Vecchia, C., Trichopoulou, A., Salamanca-Fernández, E., Huerta, J. M., Barricarte, A., Travis, R. C., Tumino, R., Masala, G., Boeing, H., Panico, S., Kaaks, R., Krämer, A., Sieri, S., Riboli, E., Vineis, P., Foll, M., McKay, J., Polidoro, S., Sala, N., Khaw, K.-T., Vermeulen, R., Campbell, P. J., Papaemmanuil, E., Minden, M. D., Tanay, A., Balicer, R. D., Wareham, N. J., Gerstung, M., Dick, J. E., Brennan, P., Vassiliou, G. S., & Shlush, L. I.
- Affiliations
- University Health Network (CA)
- University of Cambridge (GB)
- University of Toronto (CA)
- Weizmann Institute of Science (IL)
- Clalit Health Services (IL)
- Ontario Institute for Cancer Research (CA)
- Wellcome Sanger Institute (GB)
- Centre international de recherche sur le cancer (FR)
- European Bioinformatics Institute (GB)
- University of East Anglia (GB)
- Gobierno del Principado de Asturias (ES)
- National and Kapodistrian University of Athens (GR)
- Hellenic Health Foundation (GR)
- Instituto Murciano de Investigación Biosanitaria (ES)
- Instituto de Salud Pública de Navarra (ES)
- University of Oxford (GB)
- Istituto per lo Studio e la Prevenzione Oncologica (IT)
- German Institute of Human Nutrition (DE)
- Federico II University Hospital (IT)
- German Cancer Research Center (DE)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- Imperial College London (GB)
- Italian institute for Genomic Medicine (IT)
- Institut d'Investigació Biomédica de Bellvitge (ES)
- Utrecht University (NL)
- Memorial Sloan Kettering Cancer Center (US)
- World Health Organization (CH)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- Corresponding author
- Gerstung, Moritz
- Dick, John E.
- Brennan, Paul
- Vassiliou, George S.
- Shlush, Liran I.
- ORCID
- Abelson, Sagi
- Collord, Grace
- Ng, Stanley W. K.
- Weissbrod, Omer
- Barda, Noam
- Zuzarte, Philip C.
- Heisler, Lawrence
- Sundaravadanam, Yogi
- Luben, Robert
- Hayat, Shabina
- Zhao, Zhen
- Cirlan, Iulia
- Pugh, Trevor J.
- Soave, David
- Ng, Karen
- Latimer, Calli
- Raine, Keiran
- Jones, David
- Britten, Abigail
- McPherson, John D.
- Johansson, Mattias
- Eagles, Jenna
- Miller, Jessica K.
- Krzyzanowski, Paul
- Awadalla, Philip
- Costa, Rui
- Segal, Eran
- Bratman, Scott V.
- Beer, Philip
- Behjati, Sam
- Wang, Jean C. Y.
- Bowles, Kristian M.
- Karakatsani, Anna
- Trichopoulou, Antonia
- Huerta, José M.
- Barricarte, Aurelio
- Travis, Ruth C.
- Tumino, Rosario
- Masala, Giovanna
- Boeing, Heiner
- Panico, Salvatore
- Kaaks, Rudolf
- Krämer, Alwin
- Sieri, Sabina
- Vineis, Paolo
- Foll, Matthieu
- McKay, James
- Polidoro, Silvia
- Sala, Núria
- Khaw, Kay-Tee
- Vermeulen, Roel
- Campbell, Peter J.
- Papaemmanuil, Elli
- Minden, Mark D.
- Tanay, Amos
- Balicer, Ran D.
- Wareham, Nicholas J.
- Gerstung, Moritz
- Dick, John E.
- Brennan, Paul
- Vassiliou, George S.
- Shlush, Liran I.
- Venue
- Nature
- Published
- 2018-07
- Volume
- 559
- Issue
- 7714
- Pages
- 400-404
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6485381
- OpenAlex
- W2830196912
- Cited by
- 850
- References
- 49
- Citations by year
- 2026: 52 · 2025: 83 · 2024: 95 · 2023: 116 · 2022: 122 · 2021: 116 · 2020: 143 · 2019: 91 · 2018: 29
- FWCI
- 67.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RISalud Institutional Health Repository of Andalucía (submittedVersion, public-domain)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, public-domain)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Apollo
- Funders
- World Health Organization
- Leukemia and Lymphoma Society
- Wellcome Trust (WT 098051, WT095663MA)
- Cancer Research UK (23015, 14136, 16491, 21777)
- National Institute for Health and Care Research (NF-SI-0512-10114, NF-SI-0512-10135, NF-SI-0617-10149)
- Generalitat de Catalunya
- Associazione Italiana per la Ricerca sul Cancro
- Clalit Health Services
- Abisch-Frenkel-Stiftung
- Hellenic Health Foundation
- Medical Research Council (MC_UU_12015/1, MC_PC_13048, MC_PC_12009, MR/N003284/1)
- Agència de Gestió d'Ajuts Universitaris i de Recerca
- Instituto de Salud Carlos III (RD12/0036/0018)
- European Regional Development Fund
- National Cancer Institute (P30CA008748)
- Topics
- Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinoids in leukemia and cellular processes
- Keywords
- acute myeloid leukemia, somatic mutations, clonal expansion, variant allele frequency
- MeSH terms
- Adult, Age Factors, Aged, Female, Health, Humans, Male, Middle Aged, Models, Genetic, Mutation, Leukemia, Myeloid, Acute, Prevalence, Mutagenesis, Disease Progression, Risk Assessment, Genetic Predisposition to Disease, Electronic Health Records
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