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P91 The development and validation of a polygenic risk score for myocardial infarction in SLE
  1. Sarah Reid1,
  2. Johanna K Sandling1,
  3. Andrei Alexsson1,
  4. Pascal Pucholt1,
  5. Christopher Sjöwall2,
  6. Karoline Lerang3,
  7. Andreas Jönsen4,
  8. Iva Gunnarsson5,
  9. Ann-Christine Syvänen1,
  10. Anne Troldborg6,
  11. Anne Voss7,
  12. Anders A Bengtsson4,
  13. Øyvind Molberg3,
  14. Søren Jacobsen8,
  15. Elisabet Svenungsson5,
  16. Lars Rönnblom1 and
  17. Dag Leonard1
  1. 1Uppsala University, Uppsala
  2. 2Linköping University, Linköping, Sweden
  3. 3University of Oslo, Oslo, Norway
  4. 4Lund University, Lund
  5. 5Karolinska Institutet, Solna, Sweden
  6. 6Aarhus University, Aarhus
  7. 7Odense University Hospital, Odense
  8. 8Copenhagen University Hospital, Copenhagen, Denmark


Background Patients with SLE have increased morbidity and mortality due to cardiovascular disease. Here, we construct and validate a polygenic risk score (PRS) for myocardial infarction (MI) in SLE.

Methods Patients with SLE (European decent, ≥4 ACR-criteria) were genotyped using a 200K Immunochip SNP array (discovery cohort, Sweden, n=776) and custom MassARRAY assays (replication cohort, Norway/Denmark, n=890). In the discovery cohort, 57 SNPs with previously established association with SLE development (p<5.0×10-8) were investigated for associations with MI using a cox regression model. Significant SNPs were included in a PRS, weighted by their ORs for MI development. The PRS was subsequently validated in the replication cohort.

Results Four SLE-risk genes were found to be associated with a decreased time until the first MI; PTPN22 (OR 1.61, p=0.041), NCF2 (OR 2.47, p=2.1×10-3), STAT4 (OR 1.66, p=5.2×10-3) and IL12A (OR 1.45, p=0.047) and were included in a PRS. The PRS was associated with a higher cumulative prevalence of MI in both the discovery cohort (p=1.1×10-5, fig 1A) and replication cohort (p=7.7×10-3, fig 1B). Exploring the PRS further in the replication cohort, patients in the high, compared to the low, PRS-quartile were more often male (p=1.3×10-3), and displayed higher prevalence of the ACR-1982 nephritis and immunological criteria (p=4.1×10-4 and p=0.036) (fig1C).

Analyzing combinations of the identified SNPs, we found the prevalence of MI to be further increased in patients homozygous for both NCF2+STAT4 (pdiscovery=1.6×10-3, preplication=0.015) or STAT4+IL12A (pdiscovery=3.0×10-5, preplication=0.036) (fig1D).

Conclusion A high polygenic risk score for MI in SLE is associated with an increased prevalence of myocardial infarction. If confirmed in prospective studies, our results suggest that genetic profiling may be useful for predicting MI in patients with SLE.

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