TY - JOUR
T1 - Towards efficiency in rare disease research
T2 - what is distinctive and important?
AU - Jia, Jinmeng
AU - Shi, Tieliu
N1 - Publisher Copyright:
© 2017, Science China Press and Springer-Verlag GmbH Germany.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Characterized by their low prevalence, rare diseases are often chronically debilitating or life threatening. Despite their low prevalence, the aggregate number of individuals suffering from a rare disease is estimated to be nearly 400 million worldwide. Over the past decades, efforts from researchers, clinicians, and pharmaceutical industries have been focused on both the diagnosis and therapy of rare diseases. However, because of the lack of data and medical records for individual rare diseases and the high cost of orphan drug development, only limited progress has been achieved. In recent years, the rapid development of next-generation sequencing (NGS)-based technologies, as well as the popularity of precision medicine has facilitated a better understanding of rare diseases and their molecular etiology. As a result, molecular subclassification can be identified within each disease more clearly, significantly improving diagnostic accuracy. However, providing appropriate care for patients with rare diseases is still an enormous challenge. In this review, we provide a brief introduction to the challenges of rare disease research and make suggestions on where and how our efforts should be focused.
AB - Characterized by their low prevalence, rare diseases are often chronically debilitating or life threatening. Despite their low prevalence, the aggregate number of individuals suffering from a rare disease is estimated to be nearly 400 million worldwide. Over the past decades, efforts from researchers, clinicians, and pharmaceutical industries have been focused on both the diagnosis and therapy of rare diseases. However, because of the lack of data and medical records for individual rare diseases and the high cost of orphan drug development, only limited progress has been achieved. In recent years, the rapid development of next-generation sequencing (NGS)-based technologies, as well as the popularity of precision medicine has facilitated a better understanding of rare diseases and their molecular etiology. As a result, molecular subclassification can be identified within each disease more clearly, significantly improving diagnostic accuracy. However, providing appropriate care for patients with rare diseases is still an enormous challenge. In this review, we provide a brief introduction to the challenges of rare disease research and make suggestions on where and how our efforts should be focused.
KW - data sharing
KW - data standard
KW - orphan drugs
KW - rare disease
KW - rare disease diagnosis and treatment
UR - https://www.scopus.com/pages/publications/85021177741
U2 - 10.1007/s11427-017-9099-3
DO - 10.1007/s11427-017-9099-3
M3 - 文献综述
C2 - 28639105
AN - SCOPUS:85021177741
SN - 1674-7305
VL - 60
SP - 686
EP - 691
JO - Science China Life Sciences
JF - Science China Life Sciences
IS - 7
ER -