Abstract
Sickle cell anemia (SCA) is a paradigmatic single gene disorder caused by homozygosity with respect to a unique mutation at the beta-globin locus. SCA is phenotypically complex, with different clinical courses ranging from early childhood mortality to a virtually unrecognized condition. Overt stroke is a severe complication affecting 6-8% of individuals with SCA. Modifier genes might interact to determine the susceptibility to stroke, but such genes have not yet been identified. Using Bayesian networks, we analyzed 108 SNPs in 39 candidate genes in 1,398 individuals with SCA. We found that 31 SNPs in 12 genes interact with fetal hemoglobin to modulate the risk of stroke. This network of interactions includes three genes in the TGF-beta pathway and SELP, which is associated with stroke in the general population. We validated this model in a different population by predicting the occurrence of stroke in 114 individuals with 98.2% accuracy.
MeSH Terms
Anemia, Sickle Cell/genetics
Fetal Hemoglobin/genetics,metabolism
Genetic Markers
Genetic Predisposition to Disease
Genotype
Hemoglobin, Sickle/genetics
Humans
Magnetic Resonance Imaging
Models, Genetic
Polymorphism, Single Nucleotide
Prognosis
Risk Factors
Signal Transduction
Stroke/genetics
Chemicals
Genetic Markers
Hemoglobin, Sickle
Fetal Hemoglobin
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Sebastiani Paola
Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA.
Ramoni Marco F
Nolan Vikki
Baldwin Clinton T
Steinberg Martin H
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