Genome-wide association analysis identifies genetic variations in subjects with myalgic encephalomyelitis/chronic fatigue syndrome.
Transl Psychiatry
; 6: e730, 2016 Feb 09.
Article
en En
| MEDLINE
| ID: mdl-26859813
ABSTRACT
Myalgic encephalomyelitis, also known as chronic fatigue syndrome or ME/CFS, is a multifactorial and debilitating disease that has an impact on over 4 million people in the United States alone. The pathogenesis of ME/CFS remains largely unknown; however, a genetic predisposition has been suggested. In the present study, we used a DNA single-nucleotide polymorphism (SNP) chip representing over 906,600 known SNPs to analyze DNA from ME/CFS subjects and healthy controls. To the best of our knowledge, this study represents the most comprehensive genome-wide association study (GWAS) of an ME/CFS cohort conducted to date. Here 442 SNPs were identified as candidates for association with ME/CFS (adjusted P-value<0.05). Whereas the majority of these SNPs are represented in non-coding regions of the genome, 12 SNPs were identified in the coding region of their respective gene. Among these, two candidate SNPs resulted in missense substitutions, one in a pattern recognition receptor and the other in an uncharacterized coiled-coil domain-containing protein. We also identified five SNPs that cluster in the non-coding regions of T-cell receptor loci. Further examination of these polymorphisms may help identify contributing factors to the pathophysiology of ME/CFS, as well as categorize potential targets for medical intervention strategies.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Variación Genética
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Síndrome de Fatiga Crónica
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Estudio de Asociación del Genoma Completo
Tipo de estudio:
Prognostic_studies
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Risk_factors_studies
Límite:
Female
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Humans
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Male
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Middle aged
Idioma:
En
Año:
2016
Tipo del documento:
Article