03 TOWARDS DISEASE INTERCEPTION: CONTRIBUTION OF POLYGENIC RISK SCORES TOWARDS AGE-DEPENDENT RISK OF IBD IN A HIGH-RISK POPULATION

2019 ◽  
Vol 156 (3) ◽  
pp. S73-S74
Author(s):  
Elizabeth A. Spencer ◽  
Kyle Gettler ◽  
Drew Helmus ◽  
Shannon Telesco ◽  
Amy Hart ◽  
...  
2019 ◽  
Vol 25 (Supplement_1) ◽  
pp. S52-S52
Author(s):  
Elizabeth A Spencer ◽  
Kyle Gettler ◽  
Drew Helmus ◽  
Shannon Telesco ◽  
Amy Hart ◽  
...  

2021 ◽  
Author(s):  
Sam Hodgson ◽  
Qin Qin Huang ◽  
Neneh Sallah ◽  
Chris J Griffiths ◽  
William Newman ◽  
...  

Background: Type 2 diabetes is a heterogeneous condition highly prevalent in British Pakistanis and Bangladeshis (BPB). The Genes & Health (G&H) cohort offers means to explore genetic determinants of disease in BPBs, combining genetic and lifelong health record data. Methods: We assessed whether common genetic loci associated with type 2 diabetes in European-ancestry individuals (EUR) replicate in G&H. We constructed a type 2 diabetes polygenic risk score (PRS) and combined it with a clinical risk instrument (QDiabetes) to build a novel, integrated risk tool (IRT). We compared IRT performance using net reclassification index (NRI) versus QDiabetes alone. We assessed the ability of the PRS to predict type 2 diabetes following gestational diabetes (GDM). We compared PRS distribution between type 2 diabetes subgroups identified by clinical features at diagnosis. Findings: Accounting for power, we replicated fewer loci associated with type 2 diabetes in G&H (n = 76/338, 22%) than would be expected if all EUR-ascertained loci were transferable (n = 95, 28%) (binomial p value = 0.01). In 13,648 patients free from type 2 diabetes followed up for 10 years, NRI was 3.2% for IRT versus QDiabetes (95% confidence interval 2.0 - 4.4%). IRT performance was best in reclassification of young adults deemed low risk by QDiabetes as high risk. PRS was independently associated with progression to type 2 diabetes after GDM (p = 0.028). Mean type 2 diabetes PRS differed between phenotypically-defined type 2 diabetes subgroups (p = 0.002). Interpretation: The type 2 diabetes PRS has broad potential clinical application in BPB, improving identification of type 2 diabetes risk (especially in the young), and characterisation of type 2 diabetes subgroups at diagnosis. Funding: Wellcome Trust, MRC, NIHR, and others. Full funding disclosed within.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Maitri Kalra ◽  
Yan Tong ◽  
David R. Jones ◽  
Tom Walsh ◽  
Michael A. Danso ◽  
...  

AbstractPatients with triple-negative breast cancer (TNBC) who have residual disease after neoadjuvant therapy have a high risk of recurrence. We tested the impact of DNA-damaging chemotherapy alone or with PARP inhibition in this high-risk population. Patients with TNBC or deleterious BRCA mutation (TNBC/BRCAmut) who had >2 cm of invasive disease in the breast or persistent lymph node (LN) involvement after neoadjuvant therapy were assigned 1:1 to cisplatin alone or with rucaparib. Germline mutations were identified with BROCA analysis. The primary endpoint was 2-year disease-free survival (DFS) with 80% power to detect an HR 0.5. From Feb 2010 to May 2013, 128 patients were enrolled. Median tumor size at surgery was 1.9 cm (0–11.5 cm) with 1 (0–38) involved LN; median Residual Cancer Burden (RCB) score was 2.6. Six patients had known deleterious BRCA1 or BRCA2 mutations at study entry, but BROCA identified deleterious mutations in 22% of patients with available samples. Toxicity was similar in both arms. Despite frequent dose reductions (21% of patients) and delays (43.8% of patients), 73% of patients completed planned cisplatin. Rucaparib exposure was limited with median concentration 275 (82–4694) ng/mL post-infusion on day 3. The addition of rucaparib to cisplatin did not increase 2-year DFS (54.2% cisplatin vs. 64.1% cisplatin + rucaparib; P = 0.29). In the high-risk post preoperative TNBC/BRCAmut setting, the addition of low-dose rucaparib did not improve 2-year DFS or increase the toxicity of cisplatin. Genetic testing was underutilized in this high-risk population.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Stepien ◽  
P Furczynska ◽  
M Zalewska ◽  
K Nowak ◽  
A Wlodarczyk ◽  
...  

Abstract Background Recently heart failure (HF) has been found to be a new dementia risk factor, nevertheless their relations in patients following HF decompensation remain unknown. Purpose We sought to investigate whether a screening diagnosis for dementia (SDD) in this high-risk population may predict unfavorable long-term clinical outcomes. Methods 142 patients following HF decompensation requiring hospitalization were enrolled. Within a median time of 55 months all patients were screened for dementia with ALFI-MMSE scale whereas their compliance was assessed with the Morisky Medication Adherence Scale. Any incidents of myocardial infarction, coronary revascularization, stroke or transient ischemic attack (TIA), revascularization, HF hospitalization and bleedings during follow-up were collected. Results SDD was established in 37 patients (26%) based on the result of an ALFI-MMSE score of <17 points. By multivariate analysis the lower results of the ALFI-MMSE score were associated with a history of stroke/TIA (β=−0.29, P<0.001), peripheral arterial disease (PAD) (β=−0.20, P=0.011) and lower glomerular filtration rate (β=0.24, P=0.009). During the follow-up, patients with SDD were more often rehospitalized following HF decompensation (48.7% vs 28.6%, P=0.014) than patients without SDD, despite a similar level of compliance (P=0.25). Irrespective of stroke/TIA history, SDD independently increased the risk of rehospitalization due to HF decompensation (HR 2.22, 95% CI 1.23–4.01, P=0.007). Conclusions As shown for the first time in literature patients following decompensated HF, a history of stroke/TIA, PAD and impaired renal function independently influenced SDD. In this high-risk population, SDD was not associated with patients' compliance but irrespective of the stroke/TIA history it increased the risk of recurrent HF hospitalization. The survival free of rehospitalization Funding Acknowledgement Type of funding source: None


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