@article{598c9e69490842268e3acab3dac233d0,
title = "Application of Whole Exome Sequencing and Functional Annotations to Identify Genetic Variants Associated with Marfan Syndrome",
abstract = "Marfan syndrome (MFS) is a rare disease that affects connective tissue, which causes abnormalities in several organ systems including the heart, eyes, bones, and joints. The autosomal dominant disorder was found to be strongly associated with FBN1, TGFBR1, and TGFBR2 mutations. Although multiple genetic mutations have been reported, data from Asian populations are still limited. As a result, we utilized the whole exome sequencing (WES) technique to identify potential pathogenic variants of MFS in a Taiwan cohort. In addition, a variety of annotation databases were applied to identify the biological functions as well as the potential mechanisms of candidate genes. In this study, we confirmed the pathogenicity of FBN1 to MFS. Our results indicated that TTN and POMT1 may be likely related to MFS phenotypes. Furthermore, we found nine unique variants highly shared in a MFS family cohort, of which eight are novel variants worthy of further investigation.",
keywords = "FBN1, Marfan syndrome, New mutations, POMT1, TTN, Whole-exome sequencing",
author = "Lin, {Min Rou} and Chang, {Che Mai} and Jafit Ting and Chang, {Jan Gowth} and Chou, {Wan Hsuan} and Huang, {Kuei Jung} and Gloria Cheng and Chang, {Hsiao Huang} and Chang, {Wei Chiao}",
note = "Funding Information: Funding: This research was funded by grants from the Ministry of Science and Technology, Taiwan (MOST 110-2628-B-038-020; MOST 110-2314-B-038-161), Taipei Medical University (109-5807-006-400) and Taiwan Association for Integration of Cardiology and Surgery. Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).",
year = "2022",
month = feb,
doi = "10.3390/jpm12020198",
language = "English",
volume = "12",
journal = "Journal of Personalized Medicine",
issn = "2075-4426",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "2",
}