A Higher Polygenic Risk Score Is Associated with a Higher Recurrence Rate of Atrial Fibrillation in Direct Current

Simon Vogel1, Irina Rudaka1,2, Dmitrijs Rots1

  • 1Scientific Laboratory of Molecular Genetics, Rīga Stradiņš University, 16 Dzirciema Str., LV-1007 Rīga, Latvia.

Insights

Genetic factors influence atrial fibrillation (AF) recurrence after direct current cardioversion (DCC). A higher polygenic risk score (PRS) increases AF recurrence odds, while specific variants in PITX2 and SOX5 genes are linked to AF development and recurrence risk.

Area of Science:

  • Cardiology
  • Genetics
  • Pharmacogenomics

Background:

  • Atrial fibrillation (AF) recurrence after direct current cardioversion (DCC) presents a significant clinical challenge.
  • Factors influencing AF recurrence post-DCC remain largely unknown.
  • Genetic predispositions are implicated in AF risk and rhythm control efficacy.

Purpose of the Study:

  • To investigate the association between eight single-nucleotide variants (SNVs) and the risk of AF development.
  • To examine the association between these SNVs and AF recurrence after DCC.
  • To evaluate the utility of a polygenic risk score (PRS) in predicting AF occurrence and recurrence.

Main Methods:

  • Genotyping of eight SNVs in genes including PITX2 and SOX5 using high-resolution melting analysis and Sanger sequencing.
  • Recruitment of 259 AF cases and 108 controls for AF occurrence analysis.
  • Telephone interviews six months post-DCC to assess AF recurrence, coupled with multivariate regression analyses and PRS calculation.

Main Results:

  • The rs2200733 variant in PITX2 was significantly associated with increased AF development risk (OR = 2.31).
  • The rs11047543 variant in SOX5, typically protective, correlated with higher AF recurrence risk (OR = 0.223).
  • A PRS > 7 was significantly linked to a higher likelihood of AF post-DCC (OR = 4.174).

Conclusions:

  • Elevated PRS is associated with increased odds of AF recurrence following DCC.
  • Specific genetic variants, notably in PITX2 and SOX5, show significant associations with AF risk and recurrence.
  • Further research is warranted to leverage genetic information for predicting DCC success and personalizing AF treatment strategies.

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