CIT-Lasso: a scalable approach beyond guilty by association for identifying causal variants from genome-wide summary statistics
| Title: | CIT-Lasso: a scalable approach beyond guilty by association for identifying causal variants from genome-wide summary statistics |
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| Authors: | He, ZihuaiAff1, Aff2, Aff3, IDs1305902604185w_cor1; Chu, BenjaminAff3; Yang, JamesAff4; Gu, JiaqiAff5; Chen, ZhaomengAff4; Liu, LinxiAff6; Morrison, TimAff4; Belloy, Michael E.Aff1; Qi, XinranAff1, Aff2; Hejazi, NimaAff7; Mathur, MayaAff2, Aff8; Le Guen, YannAff2; Tang, HuaAff8, Aff9; Hastie, TrevorAff3, Aff4; Ionita-Laza, IulianaAff10; Candès, EmmanuelAff4, Aff11, IDs1305902604185w_cor2; Sabatti, ChiaraAff3, Aff4, IDs1305902604185w_cor3 |
| Source: | Genome Biology. 27(1) |
| Database: | Springer Nature Journals |