TY - JOUR
T1 - Identifying disease modifying genes in multiple sclerosis
AU - Kantarci, Orhun H.
AU - Ddrade, Mariza
AU - Weinshenker, Brian G.
N1 - Funding Information:
Dr. Kantarci has been supported by an advanced fellowship award granted by the National MS Society. Genetic epidemiology studies in Olmsted County are currently supported by the National MS Society, grant no.: RG-2870-A-2 to Dr. Weinshenker.
PY - 2002
Y1 - 2002
N2 - Evidence is mounting that genetic variation influences not only susceptibility to multiple sclerosis (MS), but also its course and severity. Identification of disease modifying genes, however, poses unique challenges, especially on how to classify the course and outcome of the disease in ways that may be relevant to analysis of biological factors that might be influenced by genes. The power of the statistical approaches to detect small effects of individual genes in complex disorders such as MS is problematic, and approaches to estimate power must be appropriate for the data. Nonetheless, using contemporary schemes of classification, genetic variants that influence disease course have been found; in fact, a small number have been confirmed to influence disease course in two or more independent studies. This review addresses strategies relevant to identification of disease modifying genes in MS, and summarizes and critically evaluates the current state of knowledge in this area.
AB - Evidence is mounting that genetic variation influences not only susceptibility to multiple sclerosis (MS), but also its course and severity. Identification of disease modifying genes, however, poses unique challenges, especially on how to classify the course and outcome of the disease in ways that may be relevant to analysis of biological factors that might be influenced by genes. The power of the statistical approaches to detect small effects of individual genes in complex disorders such as MS is problematic, and approaches to estimate power must be appropriate for the data. Nonetheless, using contemporary schemes of classification, genetic variants that influence disease course have been found; in fact, a small number have been confirmed to influence disease course in two or more independent studies. This review addresses strategies relevant to identification of disease modifying genes in MS, and summarizes and critically evaluates the current state of knowledge in this area.
KW - Course
KW - Genetics
KW - Multiple sclerosis
KW - Outcome
KW - Prognosis
KW - Severity
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U2 - 10.1016/S0165-5728(01)00481-7
DO - 10.1016/S0165-5728(01)00481-7
M3 - Article
C2 - 11880159
AN - SCOPUS:0036187514
SN - 0165-5728
VL - 123
SP - 144
EP - 159
JO - Journal of neuroimmunology
JF - Journal of neuroimmunology
IS - 1-2
ER -