Tada Hayato, Shiffman Dov, Smith J Gustav, Sjögren Marketa, Lubitz Steven A, Ellinor Patrick T, Louie Judy Z, Catanese Joseph J, Engström Gunnar, Devlin James J, Kathiresan Sekar, Melander Olle
Center for Human Genetic Research and Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts.
Broad Institute, Program in Medical and Population Genetics, Cambridge, Massachusetts.
Stroke. 2014 Oct;45(10):2856-2862. doi: 10.1161/STROKEAHA.114.006072. Epub 2014 Aug 14.
Atrial fibrillation (AF) is prevalent and there is a clinical need for biomarkers to identify individuals at higher risk for AF. Fixed throughout a life course and assayable early in life, genetic biomarkers may meet this need. Here, we investigate whether multiple single nucleotide polymorphisms together as an AF genetic risk score (AF-GRS) can improve prediction of one's risk for AF.
In 27 471 participants of the Malmö Diet and Cancer Study, a prospective, community-based cohort, we used Cox models that adjusted for established AF risk factors to assess the association of AF-GRS with incident AF and ischemic stroke. Median follow-up was 14.4 years for incident AF and 14.5 years for ischemic stroke. The AF-GRS comprised 12 single nucleotide polymorphisms that had been previously shown to be associated with AF at genome-wide significance.
During follow-up, 2160 participants experienced a first AF event and 1495 had a first ischemic stroke event. Participants in the top AF-GRS quintile were at increased risk for incident AF (hazard ratio, 2.00; 95% confidence interval, 1.73-2.31; P=2.7×10(-21)) and ischemic stroke (hazard ratio, 1.23; 95% confidence interval, 1.04-1.46; P=0.02) when compared with the bottom quintile. Addition of the AF-GRS to established AF risk factors modestly improved both discrimination and reclassification (P<0.0001 for both).
An AF-GRS can identify 20% of individuals who are at ≈2-fold increased risk for incident AF and at 23% increased risk for ischemic stroke. Targeting diagnostic or therapeutic interventions to this subset may prove clinically useful.
心房颤动(AF)很常见,临床上需要生物标志物来识别AF风险较高的个体。基因生物标志物在整个生命过程中是固定的,并且在生命早期即可检测,可能满足这一需求。在此,我们研究多个单核苷酸多态性作为AF遗传风险评分(AF-GRS)是否能改善对个体AF风险的预测。
在马尔默饮食与癌症研究的27471名参与者中,这是一个基于社区的前瞻性队列,我们使用调整了既定AF风险因素的Cox模型来评估AF-GRS与新发AF和缺血性中风的关联。新发AF的中位随访时间为14.4年,缺血性中风的中位随访时间为14.5年。AF-GRS由12个单核苷酸多态性组成,这些多态性先前已在全基因组水平上显示与AF相关。
在随访期间,2160名参与者经历了首次AF事件,1495名发生了首次缺血性中风事件。与最低五分位数相比,AF-GRS最高五分位数的参与者发生新发AF的风险增加(风险比,2.00;95%置信区间,1.73 - 2.31;P = 2.7×10⁻²¹),发生缺血性中风的风险增加(风险比,1.23;95%置信区间,1.04 - 1.46;P = 0.02)。将AF-GRS添加到既定的AF风险因素中,适度改善了辨别力和重新分类(两者P均<0.0001)。
AF-GRS可以识别出约20%发生新发AF风险增加约2倍、缺血性中风风险增加23%的个体。针对这一亚组进行诊断或治疗干预可能具有临床实用性。