计算生物学
趋同(经济学)
生物
遗传学
计算机科学
经济
经济增长
作者
Maik Pietzner,Eleanor Wheeler,Julia Carrasco-Zanini,Adrián Cortés,Mine Koprulu,Maria A. Wörheide,Erin Oerton,James Cook,Isobel D. Stewart,Nicola D. Kerrison,Jian’an Luan,Johannes Raffler,Matthias Arnold,Wiebke Arlt,Stephen O’Rahilly,Gabi Kastenmüller,Eric R. Gamazon,Aroon D. Hingorani,Robert A. Scott,Nicholas J. Wareham
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2021-11-11
卷期号:374 (6569)
被引量:346
标识
DOI:10.1126/science.abj1541
摘要
Detangling gene-disease connections Many diseases are at least partially due to genetic causes that are not always understood or targetable with specific treatments. To provide insight into the biology of various human diseases as well as potential leads for therapeutic development, Pietzner et al . undertook detailed, genome-wide proteogenomic mapping. The authors analyzed thousands of connections between potential disease-associated mutations, specific proteins, and medical conditions, thereby providing a detailed map for use by future researchers. They also supplied some examples in which they applied their approach to medical contexts as varied as connective tissue disorders, gallstones, and COVID-19 infections, sometimes even identifying single genes that play roles in multiple clinical scenarios. —YN
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