Next Generation Sequencing Approaches for Novel Gene Discovery in ALS
Project Number7K08NS075094-06
Former Number5K08NS075094-05
Contact PI/Project LeaderHARMS, MATTHEW
Awardee OrganizationCOLUMBIA UNIVERSITY HEALTH SCIENCES
Description
Abstract Text
DESCRIPTION (provided by applicant): The candidate is a clinical neurologist (MD) with a career goal of investigating the genetic and molecular basis of human neuromuscular diseases, focusing primarily on amyotrophic lateral sclerosis (ALS). The candidate has significant prior laboratory experience, with a track record of successful research projects in neuropharmacology, neurodevelopment, and most recently, neurogenetics. In order to further prepare for successful independent research, the candidate's career development plan includes graduate-level courses in biostatistics, bioinformatics, and genomics, as well as seminars and intensive courses on next-generation sequencing and related methods. The proposed development plan and scientific training will take place at Washington University in St. Louis, an institution with particular strengths in both genetics/genomics and the study of ALS. The neurogenetics community is robust and will provide the candidate with important intellectual assistance and collaborations. The scientific training will be jointly mentored by Dr. Alison Goate, whose lab focuses on the genetics of dementia and addiction, and Dr. Robert Baloh, whose lab studies the molecular basis of neurodegeneration in ALS using tissue culture and animal models. Dr. Goate's expertise in human genetics and sequencing methods coupled with Dr. Baloh's experience in modeling human neuromuscular diseases will provide the candidate with the set of research tools needed to succeed as an independent investigator studying the genetic and molecular basis of neurologic diseases. The candidate's research proposal aims to identify novel genes causing ALS, an untreatable neurodegenerative disease producing loss of motor neurons, progressive paralysis, and death from respiratory failure. Although the majority of ALS cases are sporadic, the genes responsible in familial cases have provided important insights into all forms of the disease. However, known ALS genes still only explain 25% of familial cases. To identify additional familial ALS disease genes, the candidate will: 1) Screen a large cohort of familial and sporadic ALS patients for mutations in known ALS genes. This screen will be performed using pooled-sample sequencing, an innovative method made possible by next-generation sequencing capabilities pioneered by one of our key collaborators. Novel disease-causing mutations will be followed up with phenotypic analysis. This screen will also identify a cohort of ALS families without mutations in any known ALS disease gene to be studied with whole-exome sequencing. 2) Familial cases of ALS without mutations in known genes will then undergo whole-exome analysis, a next- generation sequencing method that allows all coding regions in the human genome to be sequenced simultaneously for variations. To narrow the number of candidate pathogenic mutations, a host of bioinformatic techniques will be used. Candidate ALS genes identified will then be screened for additional mutations in other ALS patients using the same pooled-sample sequencing strategy as in (1). The identification of novel ALS disease genes will pave the way for future studies aimed at understanding the molecular mechanism by which these mutations lead to neurodegeneration, using tissue culture and animal modeling. This work will provide key insight into the molecular basis of ALS and will immediately impact efforts aimed at therapeutic development for this untreatable disease.
Public Health Relevance Statement
Amyotrophic lateral sclerosis (a.k.a. Lou Gehrig's disease) is an untreatable disease characterized by progressive paralysis and eventual death. Identification of genes responsible for hereditary forms of ALS will shed light on why the disease occurs and guide how therapies might be developed. This project uses state-of- the-art genetic sequencing technologies to uncover these genes.
National Institute of Neurological Disorders and Stroke
CFDA Code
853
DUNS Number
621889815
UEI
QHF5ZZ114M72
Project Start Date
01-September-2016
Project End Date
30-June-2017
Budget Start Date
01-September-2016
Budget End Date
30-June-2017
Project Funding Information for 2015
Total Funding
$151,200
Direct Costs
$140,000
Indirect Costs
$11,200
Year
Funding IC
FY Total Cost by IC
2015
National Institute of Neurological Disorders and Stroke
$151,200
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 7K08NS075094-06
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
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Clinical Studies
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History
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