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Variants in ANGPTL4 and the Risk of Coronary Artery Disease.

The New England journal of medicine

Stitziel NO.
PMID: 28112900
N Engl J Med. 2016 Dec 08;375(23):2306. doi: 10.1056/NEJMc1607380.

No abstract available.

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Stitziel NO. Variants in ANGPTL4 and the Risk of Coronary Artery Disease. N Engl J Med. 2016;375(23):2306doi: 10.1056/NEJMc1607380.
Stitziel, N. O. (2016). Variants in ANGPTL4 and the Risk of Coronary Artery Disease. The New England journal of medicine, 375(23), 2306. https://doi.org/10.1056/NEJMc1607380
Stitziel, Nathan O. "Variants in ANGPTL4 and the Risk of Coronary Artery Disease." The New England journal of medicine vol. 375,23 (2016): 2306. doi: https://doi.org/10.1056/NEJMc1607380
Stitziel NO. Variants in ANGPTL4 and the Risk of Coronary Artery Disease. N Engl J Med. 2016 Dec 08;375(23):2306. doi: 10.1056/NEJMc1607380. PMID: 28112900.
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Quantifying the Association between White Matter Integrity Changes and Subconcussive Head Impact Exposure from a Single Season of Youth and High School Football using 3D Convolutional Neural Networks.

Proceedings of SPIE--the International Society for Optical Engineering

Saghafi B, Murugesan G, Davenport E, Wagner B, Urban J, Kelley M, Jones D, Powers A, Whitlow C, Stitzel J, Maldjian J, Montillo A.
PMID: 31741549
Proc SPIE Int Soc Opt Eng. 2018 Feb;10575. doi: 10.1117/12.2293023. Epub 2018 Feb 27.

The effect of subconcussive head impact exposure during contact sports, including American football, on brain health is poorly understood particularly in young and adolescent players, who may be more vulnerable to brain injury during periods of rapid brain maturation....

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Saghafi B, Murugesan G, Davenport E, et al. Quantifying the Association between White Matter Integrity Changes and Subconcussive Head Impact Exposure from a Single Season of Youth and High School Football using 3D Convolutional Neural Networks. Proc SPIE Int Soc Opt Eng. 2018;10575doi: 10.1117/12.2293023.
Saghafi, B., Murugesan, G., Davenport, E., Wagner, B., Urban, J., Kelley, M., Jones, D., Powers, A., Whitlow, C., Stitzel, J., Maldjian, J., & Montillo, A. (2018). Quantifying the Association between White Matter Integrity Changes and Subconcussive Head Impact Exposure from a Single Season of Youth and High School Football using 3D Convolutional Neural Networks. Proceedings of SPIE--the International Society for Optical Engineering, 10575. https://doi.org/10.1117/12.2293023
Saghafi, Behrouz, et al. "Quantifying the Association between White Matter Integrity Changes and Subconcussive Head Impact Exposure from a Single Season of Youth and High School Football using 3D Convolutional Neural Networks." Proceedings of SPIE--the International Society for Optical Engineering vol. 10575 (2018). doi: https://doi.org/10.1117/12.2293023
Saghafi B, Murugesan G, Davenport E, Wagner B, Urban J, Kelley M, Jones D, Powers A, Whitlow C, Stitzel J, Maldjian J, Montillo A. Quantifying the Association between White Matter Integrity Changes and Subconcussive Head Impact Exposure from a Single Season of Youth and High School Football using 3D Convolutional Neural Networks. Proc SPIE Int Soc Opt Eng. 2018 Feb;10575. doi: 10.1117/12.2293023. Epub 2018 Feb 27. PMID: 31741549; PMCID: PMC6859447.
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Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.

Proceedings. IEEE International Symposium on Biomedical Imaging

Murugesan G, Famili A, Davenport E, Wagner B, Urban J, Kelley M, Jones D, Whitlow C, Stitzel J, Maldjian J, Montillo A.
PMID: 31741701
Proc IEEE Int Symp Biomed Imaging. 2017 Apr;2017:464-467. doi: 10.1109/ISBI.2017.7950561. Epub 2017 Jun 19.

Sub-concussive asymptomatic head impacts during contact sports may develop potential neurological changes and may have accumulative effect through repetitive occurrences in contact sports like American football. The effects of sub-concussive head impacts on the functional connectivity of the brain...

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Murugesan G, Famili A, Davenport E, et al. Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. Proc IEEE Int Symp Biomed Imaging. 2017;2017:464-467doi: 10.1109/ISBI.2017.7950561.
Murugesan, G., Famili, A., Davenport, E., Wagner, B., Urban, J., Kelley, M., Jones, D., Whitlow, C., Stitzel, J., Maldjian, J., & Montillo, A. (2017). Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. Proceedings. IEEE International Symposium on Biomedical Imaging, 2017464-467. https://doi.org/10.1109/ISBI.2017.7950561
Murugesan, Gowtham, et al. "Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2017 (2017): 464-467. doi: https://doi.org/10.1109/ISBI.2017.7950561
Murugesan G, Famili A, Davenport E, Wagner B, Urban J, Kelley M, Jones D, Whitlow C, Stitzel J, Maldjian J, Montillo A. Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. Proc IEEE Int Symp Biomed Imaging. 2017 Apr;2017:464-467. doi: 10.1109/ISBI.2017.7950561. Epub 2017 Jun 19. PMID: 31741701; PMCID: PMC6859454.
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An integrated clinical program and crowdsourcing strategy for genomic sequencing and Mendelian disease gene discovery.

NPJ genomic medicine

Haghighi A, Krier JB, Toth-Petroczy A, Cassa CA, Frank NY, Carmichael N, Fieg E, Bjonnes A, Mohanty A, Briere LC, Lincoln S, Lucia S, Gupta VA, Söylemez O, Sutti S, Kooshesh K, Qiu H, Fay CJ, Perroni V, Valerius J, Hanna M, Frank A, Ouahed J, Snapper SB, Pantazi A, Chopra SS, Leshchiner I, Stitziel NO, Feldweg A, Mannstadt M, Loscalzo J, Sweetser DA, Liao E, Stoler JM, Nowak CB, Sanchez-Lara PA, Klein OD, Perry H, Patsopoulos NA, Raychaudhuri S, Goessling W, Green RC, Seidman CE, MacRae CA, Sunyaev SR, Maas RL, Vuzman D.
PMID: 30131872
NPJ Genom Med. 2018 Aug 13;3:21. doi: 10.1038/s41525-018-0060-9. eCollection 2018.

Despite major progress in defining the genetic basis of Mendelian disorders, the molecular etiology of many cases remains unknown. Patients with these undiagnosed disorders often have complex presentations and require treatment by multiple health care specialists. Here, we describe...

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Haghighi A, Krier JB, Toth-Petroczy A, et al. An integrated clinical program and crowdsourcing strategy for genomic sequencing and Mendelian disease gene discovery. NPJ Genom Med. 2018;3:21doi: 10.1038/s41525-018-0060-9.
Haghighi, A., Krier, J. B., Toth-Petroczy, A., Cassa, C. A., Frank, N. Y., Carmichael, N., Fieg, E., Bjonnes, A., Mohanty, A., Briere, L. C., Lincoln, S., Lucia, S., Gupta, V. A., Söylemez, O., Sutti, S., Kooshesh, K., Qiu, H., Fay, C. J., Perroni, V., Valerius, J., Hanna, M., Frank, A., Ouahed, J., Snapper, S. B., Pantazi, A., Chopra, S. S., Leshchiner, I., Stitziel, N. O., Feldweg, A., Mannstadt, M., Loscalzo, J., Sweetser, D. A., Liao, E., Stoler, J. M., Nowak, C. B., Sanchez-Lara, P. A., Klein, O. D., Perry, H., Patsopoulos, N. A., Raychaudhuri, S., Goessling, W., Green, R. C., Seidman, C. E., MacRae, C. A., Sunyaev, S. R., Maas, R. L., Vuzman, D. (2018). An integrated clinical program and crowdsourcing strategy for genomic sequencing and Mendelian disease gene discovery. NPJ genomic medicine, 321. https://doi.org/10.1038/s41525-018-0060-9
Haghighi, Alireza, et al. "An integrated clinical program and crowdsourcing strategy for genomic sequencing and Mendelian disease gene discovery." NPJ genomic medicine vol. 3 (2018): 21. doi: https://doi.org/10.1038/s41525-018-0060-9
Haghighi A, Krier JB, Toth-Petroczy A, Cassa CA, Frank NY, Carmichael N, Fieg E, Bjonnes A, Mohanty A, Briere LC, Lincoln S, Lucia S, Gupta VA, Söylemez O, Sutti S, Kooshesh K, Qiu H, Fay CJ, Perroni V, Valerius J, Hanna M, Frank A, Ouahed J, Snapper SB, Pantazi A, Chopra SS, Leshchiner I, Stitziel NO, Feldweg A, Mannstadt M, Loscalzo J, Sweetser DA, Liao E, Stoler JM, Nowak CB, Sanchez-Lara PA, Klein OD, Perry H, Patsopoulos NA, Raychaudhuri S, Goessling W, Green RC, Seidman CE, MacRae CA, Sunyaev SR, Maas RL, Vuzman D. An integrated clinical program and crowdsourcing strategy for genomic sequencing and Mendelian disease gene discovery. NPJ Genom Med. 2018 Aug 13;3:21. doi: 10.1038/s41525-018-0060-9. eCollection 2018. PMID: 30131872; PMCID: PMC6089983.
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A new graph-based clustering method with application to single-cell RNA-seq data from human pancreatic islets.

NAR genomics and bioinformatics

Wu H, Mao D, Zhang Y, Chi Z, Stitzel M, Ouyang Z.
PMID: 33575647
NAR Genom Bioinform. 2021 Jan 12;3(1):lqaa087. doi: 10.1093/nargab/lqaa087. eCollection 2021 Mar.

Traditional bulk RNA-sequencing of human pancreatic islets mainly reflects transcriptional response of major cell types. Single-cell RNA sequencing technology enables transcriptional characterization of individual cells, and thus makes it possible to detect cell types and subtypes. To tackle the...

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Wu H, Mao D, Zhang Y, et al. A new graph-based clustering method with application to single-cell RNA-seq data from human pancreatic islets. NAR Genom Bioinform. 2021;3(1):lqaa087doi: 10.1093/nargab/lqaa087.
Wu, H., Mao, D., Zhang, Y., Chi, Z., Stitzel, M., & Ouyang, Z. (2021). A new graph-based clustering method with application to single-cell RNA-seq data from human pancreatic islets. NAR genomics and bioinformatics, 3(1), lqaa087. https://doi.org/10.1093/nargab/lqaa087
Wu, Hao, et al. "A new graph-based clustering method with application to single-cell RNA-seq data from human pancreatic islets." NAR genomics and bioinformatics vol. 3,1 (2021): lqaa087. doi: https://doi.org/10.1093/nargab/lqaa087
Wu H, Mao D, Zhang Y, Chi Z, Stitzel M, Ouyang Z. A new graph-based clustering method with application to single-cell RNA-seq data from human pancreatic islets. NAR Genom Bioinform. 2021 Jan 12;3(1):lqaa087. doi: 10.1093/nargab/lqaa087. eCollection 2021 Mar. PMID: 33575647; PMCID: PMC7803008.
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Comparison of Head Impact Exposure Across Common Activities in Youth Soccer.

Neurology

Pritchard S, Filben T, Haja S, Miller L, Espeland M, Stitzel J, Urban J.
PMID: 34969931
Neurology. 2022 Jan 04;98(1):S24. doi: 10.1212/01.wnl.0000801964.42946.75.

OBJECTIVE: The objective of this study was to compare head impact exposure across common training activities in soccer.BACKGROUND: Soccer is a popular youth sport in the United States, but repetitive head impacts during training may result in neurocognitive deficits....

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Pritchard S, Filben T, Haja S, et al. Comparison of Head Impact Exposure Across Common Activities in Youth Soccer. Neurology. 2022;98(1):S24doi: 10.1212/01.wnl.0000801964.42946.75.
Pritchard, S., Filben, T., Haja, S., Miller, L., Espeland, M., Stitzel, J., & Urban, J. (2022). Comparison of Head Impact Exposure Across Common Activities in Youth Soccer. Neurology, 98(1), S24. https://doi.org/10.1212/01.wnl.0000801964.42946.75
Pritchard, Stewart, et al. "Comparison of Head Impact Exposure Across Common Activities in Youth Soccer." Neurology vol. 98,1 (2022): S24. doi: https://doi.org/10.1212/01.wnl.0000801964.42946.75
Pritchard S, Filben T, Haja S, Miller L, Espeland M, Stitzel J, Urban J. Comparison of Head Impact Exposure Across Common Activities in Youth Soccer. Neurology. 2022 Jan 04;98(1):S24. doi: 10.1212/01.wnl.0000801964.42946.75. PMID: 34969931.
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Investigating methods for determining mismatch in near side vehicle impacts - biomed 2009.

Biomedical sciences instrumentation

Loftis K, Martin RS, Meredith JW, Stitzel J.
PMID: 19369772
Biomed Sci Instrum. 2009;45:256-61.

This study investigates vehicle mismatch in severe side-impact motor vehicle collisions. Research conducted by the Insurance Institute for Highway Safety has determined that vehicle mismatch often leads to very severe injuries for occupants in the struck vehicle, because the...

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Loftis K, Martin RS, Meredith JW, et al. Investigating methods for determining mismatch in near side vehicle impacts - biomed 2009. Biomed Sci Instrum. 2009;45:256-61
Loftis, K., Martin, R. S., Meredith, J. W., & Stitzel, J. (2009). Investigating methods for determining mismatch in near side vehicle impacts - biomed 2009. Biomedical sciences instrumentation, 45256-61.
Loftis, Kathryn, et al. "Investigating methods for determining mismatch in near side vehicle impacts - biomed 2009." Biomedical sciences instrumentation vol. 45 (2009): 256-61.
Loftis K, Martin RS, Meredith JW, Stitzel J. Investigating methods for determining mismatch in near side vehicle impacts - biomed 2009. Biomed Sci Instrum. 2009;45:256-61. PMID: 19369772.
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Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences.

Human genomics

Ganel L, Chen L, Christ R, Vangipurapu J, Young E, Das I, Kanchi K, Larson D, Regier A, Abel H, Kang CJ, Scott A, Havulinna A, Chiang CWK, Service S, Freimer N, Palotie A, Ripatti S, Kuusisto J, Boehnke M, Laakso M, Locke A, Stitziel NO, Hall IM.
PMID: 34099068
Hum Genomics. 2021 Jun 07;15(1):34. doi: 10.1186/s40246-021-00335-2.

BACKGROUND: Mitochondrial genome copy number (MT-CN) varies among humans and across tissues and is highly heritable, but its causes and consequences are not well understood. When measured by bulk DNA sequencing in blood, MT-CN may reflect a combination of...

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Ganel L, Chen L, Christ R, et al. Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences. Hum Genomics. 2021;15(1):34doi: 10.1186/s40246-021-00335-2.
Ganel, L., Chen, L., Christ, R., Vangipurapu, J., Young, E., Das, I., Kanchi, K., Larson, D., Regier, A., Abel, H., Kang, C. J., Scott, A., Havulinna, A., Chiang, C. W. K., Service, S., Freimer, N., Palotie, A., Ripatti, S., Kuusisto, J., Boehnke, M., Laakso, M., Locke, A., Stitziel, N. O., & Hall, I. M. (2021). Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences. Human genomics, 15(1), 34. https://doi.org/10.1186/s40246-021-00335-2
Ganel, Liron, et al. "Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences." Human genomics vol. 15,1 (2021): 34. doi: https://doi.org/10.1186/s40246-021-00335-2
Ganel L, Chen L, Christ R, Vangipurapu J, Young E, Das I, Kanchi K, Larson D, Regier A, Abel H, Kang CJ, Scott A, Havulinna A, Chiang CWK, Service S, Freimer N, Palotie A, Ripatti S, Kuusisto J, Boehnke M, Laakso M, Locke A, Stitziel NO, Hall IM. Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences. Hum Genomics. 2021 Jun 07;15(1):34. doi: 10.1186/s40246-021-00335-2. PMID: 34099068; PMCID: PMC8185936.
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Pregnant female anthropometry from ct scans for finite element model development.

Biomedical sciences instrumentation

Loftis K, Halsey M, Anthony E, Duma SM, Stitzel J.
PMID: 19141941
Biomed Sci Instrum. 2008;44:355-60.

In this study, anthropometry data is collected from a CT scan of a pregnant abdomen at 32 weeks gestation. Over 1500 fetal losses occur each year in the United States due to motor vehicles crashes. Pregnant occupants involved in...

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Loftis K, Halsey M, Anthony E, et al. Pregnant female anthropometry from ct scans for finite element model development. Biomed Sci Instrum. 2008;44:355-60
Loftis, K., Halsey, M., Anthony, E., Duma, S. M., & Stitzel, J. (2008). Pregnant female anthropometry from ct scans for finite element model development. Biomedical sciences instrumentation, 44355-60.
Loftis, Kathryn, et al. "Pregnant female anthropometry from ct scans for finite element model development." Biomedical sciences instrumentation vol. 44 (2008): 355-60.
Loftis K, Halsey M, Anthony E, Duma SM, Stitzel J. Pregnant female anthropometry from ct scans for finite element model development. Biomed Sci Instrum. 2008;44:355-60. PMID: 19141941.
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Author Correction: High-protein diets increase cardiovascular risk by activating macrophage mTOR to suppress mitophagy.

Nature metabolism

Zhang X, Sergin I, Evans TD, Jeong SJ, Rodriguez-Velez A, Kapoor D, Chen S, Song E, Holloway KB, Crowley JR, Epelman S, Weihl CC, Diwan A, Fan D, Mittendorfer B, Stitziel NO, Schilling JD, Lodhi IJ, Razani B.
PMID: 32908252
Nat Metab. 2020 Sep;2(9):991. doi: 10.1038/s42255-020-00291-6.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Zhang X, Sergin I, Evans TD, et al. Author Correction: High-protein diets increase cardiovascular risk by activating macrophage mTOR to suppress mitophagy. Nat Metab. 2020;2(9):991doi: 10.1038/s42255-020-00291-6.
Zhang, X., Sergin, I., Evans, T. D., Jeong, S. J., Rodriguez-Velez, A., Kapoor, D., Chen, S., Song, E., Holloway, K. B., Crowley, J. R., Epelman, S., Weihl, C. C., Diwan, A., Fan, D., Mittendorfer, B., Stitziel, N. O., Schilling, J. D., Lodhi, I. J., & Razani, B. (2020). Author Correction: High-protein diets increase cardiovascular risk by activating macrophage mTOR to suppress mitophagy. Nature metabolism, 2(9), 991. https://doi.org/10.1038/s42255-020-00291-6
Zhang, Xiangyu, et al. "Author Correction: High-protein diets increase cardiovascular risk by activating macrophage mTOR to suppress mitophagy." Nature metabolism vol. 2,9 (2020): 991. doi: https://doi.org/10.1038/s42255-020-00291-6
Zhang X, Sergin I, Evans TD, Jeong SJ, Rodriguez-Velez A, Kapoor D, Chen S, Song E, Holloway KB, Crowley JR, Epelman S, Weihl CC, Diwan A, Fan D, Mittendorfer B, Stitziel NO, Schilling JD, Lodhi IJ, Razani B. Author Correction: High-protein diets increase cardiovascular risk by activating macrophage mTOR to suppress mitophagy. Nat Metab. 2020 Sep;2(9):991. doi: 10.1038/s42255-020-00291-6. PMID: 32908252.
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Reply: Loss-of-Function Mutations to Estimate Pharmacological ANGPTL3 Inhibition.

Journal of the American College of Cardiology

Stitziel NO, Musunuru K, Kathiresan S.
PMID: 29025568
J Am Coll Cardiol. 2017 Oct 17;70(16):2099-2100. doi: 10.1016/j.jacc.2017.07.794.

No abstract available.

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Stitziel NO, Musunuru K, Kathiresan S. Reply: Loss-of-Function Mutations to Estimate Pharmacological ANGPTL3 Inhibition. J Am Coll Cardiol. 2017;70(16):2099-2100doi: 10.1016/j.jacc.2017.07.794.
Stitziel, N. O., Musunuru, K., & Kathiresan, S. (2017). Reply: Loss-of-Function Mutations to Estimate Pharmacological ANGPTL3 Inhibition. Journal of the American College of Cardiology, 70(16), 2099-2100. https://doi.org/10.1016/j.jacc.2017.07.794
Stitziel, Nathan O, et al. "Reply: Loss-of-Function Mutations to Estimate Pharmacological ANGPTL3 Inhibition." Journal of the American College of Cardiology vol. 70,16 (2017): 2099-2100. doi: https://doi.org/10.1016/j.jacc.2017.07.794
Stitziel NO, Musunuru K, Kathiresan S. Reply: Loss-of-Function Mutations to Estimate Pharmacological ANGPTL3 Inhibition. J Am Coll Cardiol. 2017 Oct 17;70(16):2099-2100. doi: 10.1016/j.jacc.2017.07.794. PMID: 29025568.
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Inherited CHST11/MIR3922 deletion is associated with a novel recessive syndrome presenting with skeletal malformation and malignant lymphoproliferative disease.

Molecular genetics & genomic medicine

Chopra SS, Leshchiner I, Duzkale H, McLaughlin H, Giovanni M, Zhang C, Stitziel N, Fingeroth J, Joyce RM, Lebo M, Rehm H, Vuzman D, Maas R, Sunyaev SR, Murray M, Cassa CA.
PMID: 26436107
Mol Genet Genomic Med. 2015 Sep;3(5):413-23. doi: 10.1002/mgg3.152. Epub 2015 May 10.

Glycosaminoglycans (GAGs) such as chondroitin are ubiquitous disaccharide carbohydrate chains that contribute to the formation and function of proteoglycans at the cell membrane and in the extracellular matrix. Although GAG-modifying enzymes are required for diverse cellular functions, the role...

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Chopra SS, Leshchiner I, Duzkale H, et al. Inherited CHST11/MIR3922 deletion is associated with a novel recessive syndrome presenting with skeletal malformation and malignant lymphoproliferative disease. Mol Genet Genomic Med. 2015;3(5):413-23doi: 10.1002/mgg3.152.
Chopra, S. S., Leshchiner, I., Duzkale, H., McLaughlin, H., Giovanni, M., Zhang, C., Stitziel, N., Fingeroth, J., Joyce, R. M., Lebo, M., Rehm, H., Vuzman, D., Maas, R., Sunyaev, S. R., Murray, M., & Cassa, C. A. (2015). Inherited CHST11/MIR3922 deletion is associated with a novel recessive syndrome presenting with skeletal malformation and malignant lymphoproliferative disease. Molecular genetics & genomic medicine, 3(5), 413-23. https://doi.org/10.1002/mgg3.152
Chopra, Sameer S, et al. "Inherited CHST11/MIR3922 deletion is associated with a novel recessive syndrome presenting with skeletal malformation and malignant lymphoproliferative disease." Molecular genetics & genomic medicine vol. 3,5 (2015): 413-23. doi: https://doi.org/10.1002/mgg3.152
Chopra SS, Leshchiner I, Duzkale H, McLaughlin H, Giovanni M, Zhang C, Stitziel N, Fingeroth J, Joyce RM, Lebo M, Rehm H, Vuzman D, Maas R, Sunyaev SR, Murray M, Cassa CA. Inherited CHST11/MIR3922 deletion is associated with a novel recessive syndrome presenting with skeletal malformation and malignant lymphoproliferative disease. Mol Genet Genomic Med. 2015 Sep;3(5):413-23. doi: 10.1002/mgg3.152. Epub 2015 May 10. PMID: 26436107; PMCID: PMC4585449.
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