Article
Thousands of induced germline mutations affecting immune cells identified by automated meiotic mapping coupled with machine learning.
Proceedings of the National Academy of Sciences of the United States of America - 13 Jul 2021
Xu Darui, Lyon Stephen, Bu Chun Hui, Hildebrand Sara, Choi Jin Huk, Zhong Xue, Liu Aijie, Turer Emre E, Zhang Zhao, Russell Jamie, Ludwig Sara, Mahrt Elena, Nair-Gill Evan, Shi Hexin, Wang Ying, Zhang Duanwu, Yue Tao, Wang Kuan-Wen, SoRelle Jeffrey A, Su Lijing, Misawa Takuma, McAlpine William, Sun Lei, Wang Jianhui, Zhan Xiaoming, Choi Mihwa, Farokhnia Roxana, Sakla Andrew, Schneider Sara, Coco Hannah, Coolbaugh Gabrielle, Hayse Braden, Mazal Sara, Medler Dawson, Nguyen Brandon, Rodriguez Edward, Wadley Andrew, Tang Miao, Li Xiaohong, Anderton Priscilla, Keller Katie, Press Amanda, Scott Lindsay, Quan Jiexia, Cooper Sydney, Collie Tiffany, Qin Baifang, Cardin Jennifer, Simpson Rochelle, Tadesse Meron, Sun Qihua, Wise Carol A, Rios Jonathan J, Moresco Eva Marie Y, Beutler Bruce
Abstract excerpt
Forward genetic studies use meiotic mapping to adduce evidence that a particular mutation, normally induced by a germline mutagen, is causative of a particular phenotype. Particularly in small pedigrees, cosegregation of multiple mutations, occasional unawareness of mutations, and paucity of homozygotes may lead to erroneous declarations of cause and effect. We sought to improve the identification of mutations...
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