Mungall Christopher J, Washington Nicole L, Nguyen-Xuan Jeremy, Condit Christopher, Smedley Damian, Köhler Sebastian, Groza Tudor, Shefchek Kent, Hochheiser Harry, Robinson Peter N, Lewis Suzanna E, Haendel Melissa A
Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California.
San Diego Supercomputing Center, UC San Diego, La Jolla, California.
Hum Mutat. 2015 Oct;36(10):979-84. doi: 10.1002/humu.22857. Epub 2015 Sep 8.
The Matchmaker Exchange application programming interface (API) allows searching a patient's genotypic or phenotypic profiles across clinical sites, for the purposes of cohort discovery and variant disease causal validation. This API can be used not only to search for matching patients, but also to match against public disease and model organism data. This public disease data enable matching known diseases and variant-phenotype associations using phenotype semantic similarity algorithms developed by the Monarch Initiative. The model data can provide additional evidence to aid diagnosis, suggest relevant models for disease mechanism and treatment exploration, and identify collaborators across the translational divide. The Monarch Initiative provides an implementation of this API for searching multiple integrated sources of data that contextualize the knowledge about any given patient or patient family into the greater biomedical knowledge landscape. While this corpus of data can aid diagnosis, it is also the beginning of research to improve understanding of rare human diseases.
“媒人交换”应用程序编程接口(API)允许跨临床站点搜索患者的基因型或表型概况,以进行队列发现和变异疾病因果验证。该API不仅可用于搜索匹配的患者,还可与公共疾病和模式生物数据进行匹配。这些公共疾病数据能够利用君主计划开发的表型语义相似性算法,匹配已知疾病和变异-表型关联。模型数据可以提供额外的证据来辅助诊断,为疾病机制和治疗探索建议相关模型,并识别跨转化鸿沟的合作者。君主计划提供了此API的一个实现,用于搜索多个集成数据源,这些数据源将关于任何给定患者或患者家族的知识置于更广阔的生物医学知识背景中。虽然这个数据集有助于诊断,但它也是增进对罕见人类疾病理解的研究起点。