Predicting the pathogenicity of NKX2-1 and IGSF1 variants with in silico bioinformatic tools

被引：0
|
作者：
Narumi, Satoshi [1 ]
机构：
[1] Natl Res Inst Child Hlth & Dev, Dept Mol Endocrinol, Tokyo 1578535, Japan
来源：
CLINICAL PEDIATRIC ENDOCRINOLOGY | 2020年 / 29卷 / 03期
关键词：
congenital hypothyroidism; NKX2-1; IGSF1; mutation; genetics; in silico; CONGENITAL HYPOTHYROIDISM; TSHR MUTATIONS;
D O I：
10.1297/cpe.29.123
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
[No abstract available]
引用
收藏
页码：123 / 126
页数：4
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