Research Article

Analysis of SNP (single nucleotide polymorphism) multiplex markers related to sudden cardiac death in Brazilian families

Published: November 13, 2015
Genet. Mol. Res. 14 (4) : 14348-14348 DOI: https://doi.org/10.4238/2015.November.13.20
Cite this Article:
(2015). Analysis of SNP (single nucleotide polymorphism) multiplex markers related to sudden cardiac death in Brazilian families. Genet. Mol. Res. 14(4): gmr6640. https://doi.org/10.4238/2015.November.13.20
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Abstract

Sudden cardiac death (SCD) is a major public health concern worldwide, and genetic analysis may be useful in identifying the cause of death as well as in determining the possible genetic risk factors for SCD. This study analyzed eight SNPs (single nucleotide polymorphisms) highly correlated with cardiac sudden death in samples (blood and bone) from six Brazilian families with a history of cardiovascular diseases. Individuals with no family history of cardiovascular diseases were recruited as controls. Y chromosomes and mtDNA haplogroups belonging to these subjects were verified as well. We found that SNP rs16857031 showed significant differences between the group with a family history of cardiovascular diseases and the control group. Furthermore, the data obtained were compatible with known frequencies of SNPs for the haplogroups in which the samples were classified. A possible hereditary factor was identified for SNP rs4725982 in one family. These preliminary results suggest that identification of certain SNPs could be used to assess risk factors for SCD.

Sudden cardiac death (SCD) is a major public health concern worldwide, and genetic analysis may be useful in identifying the cause of death as well as in determining the possible genetic risk factors for SCD. This study analyzed eight SNPs (single nucleotide polymorphisms) highly correlated with cardiac sudden death in samples (blood and bone) from six Brazilian families with a history of cardiovascular diseases. Individuals with no family history of cardiovascular diseases were recruited as controls. Y chromosomes and mtDNA haplogroups belonging to these subjects were verified as well. We found that SNP rs16857031 showed significant differences between the group with a family history of cardiovascular diseases and the control group. Furthermore, the data obtained were compatible with known frequencies of SNPs for the haplogroups in which the samples were classified. A possible hereditary factor was identified for SNP rs4725982 in one family. These preliminary results suggest that identification of certain SNPs could be used to assess risk factors for SCD.

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