Liechti-Gallati S, Müller B, Grimm T, Kress W, Müller C, Boltshauser E, Moser H, Braga S
Department of Pediatrics (Inselspital), University of Berne, Switzerland.
Neuromuscul Disord. 1991;1(4):239-45. doi: 10.1016/0960-8966(91)90096-b.
The X-linked recessive centronuclear/myotubular myopathy (XLR-CNM/MTM1), a severe neonatal disorder characterized by generalized hypotonia, muscle weakness and primary asphyxia, has recently been mapped to Xq28. This report presents linkage analysis data of eight families with X-linked centronuclear myopathy. Four probes from the region Xq26-27 and five Xq28 probes were used to get more precise gene localization and marker order. St14 (DXS52), fully informative in all families, shows significant linkage to the CNM gene (z = 3.60; theta = 0.05), followed by DX13 (DXS15) (z = 2.03; theta = 0.06) and F8 (z = 1.86; theta = 0.00). Combination of the physical map derived by Kenwrick and Gitschier (1989) and our linkage data lead to the most probable order R/GCP-G6PD-(XLR-CNM-F8)-p767-St14-cpX67-++ +DX13 placing the CNM gene close to F8. The results of this study confirm strong linkage of the CNM gene to the region Xq28 and will permit carrier testing and prenatal diagnosis in CNM families. We conclude that the precise localization of this devastating disorder may be of great importance for genetic counselling in families at risk. The lack of information about gene frequency and mutation rate as well as the severity and burden of the disease point to the inevitable need for accurate clinical diagnosis.
X连锁隐性中央核/肌管性肌病(XLR-CNM/MTM1)是一种严重的新生儿疾病,其特征为全身性肌张力减退、肌肉无力和原发性窒息,最近已被定位到Xq28。本报告呈现了8个X连锁中央核肌病家系的连锁分析数据。使用来自Xq26 - 27区域的4个探针和5个Xq28探针来获得更精确的基因定位和标记顺序。在所有家系中均具有完全信息性的St14(DXS52)显示与CNM基因有显著连锁(z = 3.60;θ = 0.05),其次是DX13(DXS15)(z = 2.03;θ = 0.06)和F8(z = 1.86;θ = 0.00)。Kenwrick和Gitschier(1989年)推导的物理图谱与我们的连锁数据相结合,得出最可能的顺序为R/GCP - G6PD -(XLR - CNM - F8)- p767 - St14 - cpX67 - +++DX13,将CNM基因定位在靠近F8的位置。本研究结果证实了CNM基因与Xq28区域有很强的连锁关系,并将允许对CNM家系进行携带者检测和产前诊断。我们得出结论,这种毁灭性疾病的精确定位对于有风险家庭的遗传咨询可能非常重要。关于基因频率和突变率以及疾病的严重程度和负担的信息匮乏表明,准确的临床诊断是不可避免的需求。