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Comparison of the Prevalence of Pathogenic Variants in Cancer Susceptibility Genes in Black Women and Non-Hispanic White Women With Breast Cancer in the United States.

JAMA oncology

Domchek SM, Yao S, Chen F, Hu C, Hart SN, Goldgar DE, Nathanson KL, Ambrosone CB, Haiman CA, Couch FJ, Polley EC, Palmer JR.
PMID: 34042955
JAMA Oncol. 2021 Jul 01;7(7):1045-1050. doi: 10.1001/jamaoncol.2021.1492.

IMPORTANCE: The prevalence of germline pathogenic variants (PVs) in cancer susceptibility genes in US Black women compared with non-Hispanic White women with breast cancer is poorly described.OBJECTIVE: To determine whether US Black and non-Hispanic White women with breast cancer...

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Domchek SM, Yao S, Chen F, et al. Comparison of the Prevalence of Pathogenic Variants in Cancer Susceptibility Genes in Black Women and Non-Hispanic White Women With Breast Cancer in the United States. JAMA Oncol. 2021;7(7):1045-1050doi: 10.1001/jamaoncol.2021.1492.
Domchek, S. M., Yao, S., Chen, F., Hu, C., Hart, S. N., Goldgar, D. E., Nathanson, K. L., Ambrosone, C. B., Haiman, C. A., Couch, F. J., Polley, E. C., Palmer, J. R. (2021). Comparison of the Prevalence of Pathogenic Variants in Cancer Susceptibility Genes in Black Women and Non-Hispanic White Women With Breast Cancer in the United States. JAMA oncology, 7(7), 1045-1050. https://doi.org/10.1001/jamaoncol.2021.1492
Domchek, Susan M, et al. "Comparison of the Prevalence of Pathogenic Variants in Cancer Susceptibility Genes in Black Women and Non-Hispanic White Women With Breast Cancer in the United States." JAMA oncology vol. 7,7 (2021): 1045-1050. doi: https://doi.org/10.1001/jamaoncol.2021.1492
Domchek SM, Yao S, Chen F, Hu C, Hart SN, Goldgar DE, Nathanson KL, Ambrosone CB, Haiman CA, Couch FJ, Polley EC, Palmer JR. Comparison of the Prevalence of Pathogenic Variants in Cancer Susceptibility Genes in Black Women and Non-Hispanic White Women With Breast Cancer in the United States. JAMA Oncol. 2021 Jul 01;7(7):1045-1050. doi: 10.1001/jamaoncol.2021.1492. PMID: 34042955; PMCID: PMC8160931.
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Portal vein thrombosis following elective laparoscopic splenectomy: incidence and analysis of risk factors.

Surgical endoscopy

Swinson B, Waters PS, Webber L, Nathanson L, Cavallucci DJ, O'Rourke N, Bryant RD.
PMID: 34331132
Surg Endosc. 2021 Jul 30; doi: 10.1007/s00464-021-08649-x. Epub 2021 Jul 30.

BACKGROUND: Minimally invasive splenectomy is now well established for a wide range of pathologies. Portal vein thrombosis (PVT) is increasingly being recognised as a complication of splenectomy. The aim was to determine the incidence and risk factors for PVT...

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Swinson B, Waters PS, Webber L, et al. Portal vein thrombosis following elective laparoscopic splenectomy: incidence and analysis of risk factors. Surg Endosc. 2021;doi: 10.1007/s00464-021-08649-x.
Swinson, B., Waters, P. S., Webber, L., Nathanson, L., Cavallucci, D. J., O'Rourke, N., & Bryant, R. D. (2021). Portal vein thrombosis following elective laparoscopic splenectomy: incidence and analysis of risk factors. Surgical endoscopy, . https://doi.org/10.1007/s00464-021-08649-x
Swinson, Benjamin, et al. "Portal vein thrombosis following elective laparoscopic splenectomy: incidence and analysis of risk factors." Surgical endoscopy vol. (2021). doi: https://doi.org/10.1007/s00464-021-08649-x
Swinson B, Waters PS, Webber L, Nathanson L, Cavallucci DJ, O'Rourke N, Bryant RD. Portal vein thrombosis following elective laparoscopic splenectomy: incidence and analysis of risk factors. Surg Endosc. 2021 Jul 30; doi: 10.1007/s00464-021-08649-x. Epub 2021 Jul 30. PMID: 34331132.
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Using a Machine Learning Approach to Identify Low-Frequency and Rare .

JID innovations

Berna R, Mitra N, Hoffstad O, Wubbenhorst B, Nathanson KL, Margolis DJ.
PMID: 34909743
JID Innov. 2021 Aug 20;1(4):100046. doi: 10.1016/j.xjidi.2021.100046. eCollection 2021 Dec.

Atopic dermatitis (AD) is a common relapsing inflammatory skin disease.

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Berna R, Mitra N, Hoffstad O, et al. Using a Machine Learning Approach to Identify Low-Frequency and Rare . JID Innov. 2021;1(4):100046doi: 10.1016/j.xjidi.2021.100046.
Berna, R., Mitra, N., Hoffstad, O., Wubbenhorst, B., Nathanson, K. L., & Margolis, D. J. (2021). Using a Machine Learning Approach to Identify Low-Frequency and Rare . JID innovations, 1(4), 100046. https://doi.org/10.1016/j.xjidi.2021.100046
Berna, Ronald, et al. "Using a Machine Learning Approach to Identify Low-Frequency and Rare ." JID innovations vol. 1,4 (2021): 100046. doi: https://doi.org/10.1016/j.xjidi.2021.100046
Berna R, Mitra N, Hoffstad O, Wubbenhorst B, Nathanson KL, Margolis DJ. Using a Machine Learning Approach to Identify Low-Frequency and Rare . JID Innov. 2021 Aug 20;1(4):100046. doi: 10.1016/j.xjidi.2021.100046. eCollection 2021 Dec. PMID: 34909743; PMCID: PMC8659778.
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Showing 205 to 207 of 207 entries