4.8 Article

Exome-wide Rare Variant Analysis Identifies TUBA4A Mutations Associated with Familial ALS

期刊

NEURON
卷 84, 期 2, 页码 324-331

出版社

CELL PRESS
DOI: 10.1016/j.neuron.2014.09.027

关键词

-

资金

  1. Medical Research Council [G0600974, MR/L501529/1, MR/L016397/1, MR/K01014X/1, G1100695] Funding Source: Medline
  2. NIA NIH HHS [P50 AG025688] Funding Source: Medline
  3. NINDS NIH HHS [R01 NS073873, R01 NS065847] Funding Source: Medline
  4. Wellcome Trust [089701] Funding Source: Medline
  5. Motor Neurone Disease Association [TURNER/JAN13/944-795] Funding Source: Medline
  6. Direct For Mathematical & Physical Scien
  7. Division Of Mathematical Sciences [1309960] Funding Source: National Science Foundation
  8. Medical Research Council [MR/K01014X/1, G0600974, G1100695, MR/L501529/1, MR/L016397/1] Funding Source: researchfish
  9. Motor Neurone Disease Association [Turner/Jan13/944-795] Funding Source: researchfish
  10. National Institute for Health Research [NF-SI-0512-10082] Funding Source: researchfish
  11. MRC [MR/L016397/1, G1100695, G0600974, MR/K01014X/1] Funding Source: UKRI

向作者/读者索取更多资源

Exome sequencing is an effective strategy for identifying human disease genes. However, this methodology is difficult in late-onset diseases where limited availability of DNA from informative family members prohibits comprehensive segregation analysis. To overcome this limitation, we performed an exome-wide rare variant burden analysis of 363 index cases with familial ALS (FALS). The results revealed an excess of patient variants within TUBA4A, the gene encoding the Tubulin, Alpha 4A protein. Analysis of a further 272 FALS cases and 5,510 internal controls confirmed the overrepresentation as statistically significant and replicable. Functional analyses revealed that TUBA4A mutants destabilize the microtubule network, diminishing its repolymerization capability. These results further emphasize the role of cytoskeletal defects in ALS and demonstrate the power of gene-based rare variant analyses in situations where causal genes cannot be identified through traditional segregation analysis.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据