SMARCB1型
基因检测
医学
遗传学
神经纤维瘤病
生物信息学
生物
病理
神经纤维瘤病
基因
染色质重塑
染色质
作者
Miriam J. Smith,Cristina Perez‐Becerril,Mwee van der Meer,George J. Burghel,Sarah Waller,Megan Carney,Sancha Bunstone,Katherine Fryer,Naomi L. Bowers,Claire Hartley,Philip Smith,Scott Rutherford,Simon Freeman,Simon Lloyd,Omar Pathmanaban,Andrew T. King,Dorothy Halliday,Chris Duff,D Gareth Evans
标识
DOI:10.1136/jmg-2024-110217
摘要
Background Most schwannomas are isolated tumours occurring in otherwise healthy people. However, bilateral vestibular schwannomas (BVS) or multiple non-vestibular schwannomas indicate an underlying genetic predisposition. This is most commonly NF2 -related schwannomatosis (SWN), but when BVS are absent, this can also indicate SMARCB1 -related or LZTR1 -related SWN. Methods We assessed the variant detection rates for the three major SWN genes ( NF2 , LZTR1 and SMARCB1 ) in 154 people, from 150 families, who had at least one non-vestibular schwannoma, but who did not meet clinical criteria for NF2 -related SWN at the time of genetic testing. Results We found that 17 (11%) people from 13 families had a germline SMARCB1 variant and 19 (12%) unrelated individuals had a germline LZTR1 variant. 19 people had an NF2 variant, but 18 of these were mosaic and 17 were only detected when 2 tumours were available for testing. The overall detection rate was 25% using blood alone, but increased to 36% when tumour analysis was included. Another 12 people had a germline variant of uncertain significance (VUS). Conclusions There were similar proportions of LZTR1 , SMARCB1 or mosaic NF2 . However, since an NF2 variant was detected in tumours from 103 people, it is likely that further cases of mosaicism would be detected if more people had additional tumours available for analysis. In addition, if further evidence becomes available to show that the VUSs are pathogenic, this would significantly increase the proportion of people with a genetic diagnosis. Our results indicate the importance of comprehensive genetic testing and improved variant classification.
科研通智能强力驱动
Strongly Powered by AbleSci AI