生物
骨关节炎
选择(遗传算法)
约束(计算机辅助设计)
软骨细胞
软骨
解剖
病理
人工智能
计算机科学
工程类
机械工程
医学
替代医学
作者
Daniel Richard,Zun Liu,Jiaxue Cao,Ata M. Kiapour,Jessica Willen,Siddharth Yarlagadda,Evelyn Jagoda,Vijaya B. Kolachalama,Jakob T. Sieker,Gary H. Chang,Pushpanathan Muthuirulan,Mariel Young,Anand O. Masson,Johannes Konrad,Shayan Hosseinzadeh,David E. Maridas,Vicki Rosen,Roman Krawetz,Neil T. Roach,Terence D. Capellini
出处
期刊:Cell
[Cell Press]
日期:2020-03-26
卷期号:181 (2): 362-381.e28
被引量:159
标识
DOI:10.1016/j.cell.2020.02.057
摘要
During human evolution, the knee adapted to the biomechanical demands of bipedalism by altering chondrocyte developmental programs. This adaptive process was likely not without deleterious consequences to health. Today, osteoarthritis occurs in 250 million people, with risk variants enriched in non-coding sequences near chondrocyte genes, loci that likely became optimized during knee evolution. We explore this relationship by epigenetically profiling joint chondrocytes, revealing ancient selection and recent constraint and drift on knee regulatory elements, which also overlap osteoarthritis variants that contribute to disease heritability by tending to modify constrained functional sequence. We propose a model whereby genetic violations to regulatory constraint, tolerated during knee development, lead to adult pathology. In support, we discover a causal enhancer variant (rs6060369) present in billions of people at a risk locus (GDF5-UQCC1), showing how it impacts mouse knee-shape and osteoarthritis. Overall, our methods link an evolutionarily novel aspect of human anatomy to its pathogenesis.
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