OBJECTIVES: To evaluate the proportion of cardiovascular disease (CVD) incidence that is explained by genetic variation at chromosome 9p21 and to test whether such variation adds incremental information with regard to CVD prediction, beyond traditional risk factors. DESIGN, SETTING AND PARTICIPANTS: rs4977574 on chromosome 9p21 was genotyped in 24 777 subjects from the Malmö Diet and Cancer study who were free from CVD prior to the baseline examination. Association between genotype and incident CVD (n = 2668) during a median follow-up of 11.7 years was evaluated in multivariate Cox proportional hazard models. Analyses were performed in quartiles of baseline age, and linear trends in effect size across age groups were estimated in logistic regression models. RESULTS: In additive models, chromosome 9p21 significantly predicted CVD in the entire population (hazard ratio 1.17 per G allele, 95% confidence interval 1.11-1.23, P < 0.001). Effect estimates increased from the highest (Q4) to the lowest quartile (Q1) of baseline age, but this trend was not significant. The overall population attributable risk conferred by chromosome 9p21 in fully adjusted models was 13%, ranging from 17% in Q1 to 11% in Q4. Addition of chromosome 9p21 to traditional risk factors only marginally improved predictive accuracy. CONCLUSION: The high population attributable risk conferred by chromosome 9p21 suggests that future interventions interfering with downstream mechanisms of the genetic variation may affect CVD incidence over a broad range of ages. However, variation of chromosome 9p21 alone does not add clinically meaningful information in terms of CVD prediction beyond traditional risk factors at any age.
OBJECTIVES: To evaluate the proportion of cardiovascular disease (CVD) incidence that is explained by genetic variation at chromosome 9p21 and to test whether such variation adds incremental information with regard to CVD prediction, beyond traditional risk factors. DESIGN, SETTING AND PARTICIPANTS: rs4977574 on chromosome 9p21 was genotyped in 24 777 subjects from the Malmö Diet and Cancer study who were free from CVD prior to the baseline examination. Association between genotype and incident CVD (n = 2668) during a median follow-up of 11.7 years was evaluated in multivariate Cox proportional hazard models. Analyses were performed in quartiles of baseline age, and linear trends in effect size across age groups were estimated in logistic regression models. RESULTS: In additive models, chromosome 9p21 significantly predicted CVD in the entire population (hazard ratio 1.17 per G allele, 95% confidence interval 1.11-1.23, P < 0.001). Effect estimates increased from the highest (Q4) to the lowest quartile (Q1) of baseline age, but this trend was not significant. The overall population attributable risk conferred by chromosome 9p21 in fully adjusted models was 13%, ranging from 17% in Q1 to 11% in Q4. Addition of chromosome 9p21 to traditional risk factors only marginally improved predictive accuracy. CONCLUSION: The high population attributable risk conferred by chromosome 9p21 suggests that future interventions interfering with downstream mechanisms of the genetic variation may affect CVD incidence over a broad range of ages. However, variation of chromosome 9p21 alone does not add clinically meaningful information in terms of CVD prediction beyond traditional risk factors at any age.
Authors: Valentina Lo Sardo; Pavel Chubukov; William Ferguson; Aditya Kumar; Evan L Teng; Michael Duran; Lei Zhang; Gregory Cost; Adam J Engler; Fyodor Urnov; Eric J Topol; Ali Torkamani; Kristin K Baldwin Journal: Cell Date: 2018-12-06 Impact factor: 41.582
Authors: Ke Hao; Raili Ermel; Katyayani Sukhavasi; Haoxiang Cheng; Lijiang Ma; Ling Li; Letizia Amadori; Simon Koplev; Oscar Franzén; Valentina d'Escamard; Nirupama Chandel; Kathryn Wolhuter; Nicole S Bryce; Vamsidhar R M Venkata; Clint L Miller; Arno Ruusalepp; Heribert Schunkert; Johan L M Björkegren; Jason C Kovacic Journal: Circ Genom Precis Med Date: 2021-12-28
Authors: Riyaz S Patel; Folkert W Asselbergs; Arshed A Quyyumi; Tom M Palmer; Chris I Finan; Vinicius Tragante; John Deanfield; Harry Hemingway; Aroon D Hingorani; Michael V Holmes Journal: J Am Coll Cardiol Date: 2014-03-07 Impact factor: 24.094
Authors: I-Te Lee; Mark O Goodarzi; Wen-Jane Lee; Jerome I Rotter; Yii-der Ida Chen; Kae-Woei Liang; Wen-Lieng Lee; Wayne H-H Sheu Journal: Biomed Res Int Date: 2014-04-02 Impact factor: 3.411
Authors: Sayed AbdulAzeez; Awatif N Al-Nafie; Abdullah Al-Shehri; J Francis Borgio; Ekaterina V Baranova; Mohammed S Al-Madan; Rudaynah A Al-Ali; Fahad Al-Muhanna; Abdullah Al-Ali; Mohammed Al-Mansori; Mohammed Fakhry Ibrahim; Folkert W Asselbergs; Brendan Keating; Bobby P C Koeleman; Amein K Al-Ali Journal: Int J Mol Sci Date: 2016-03-17 Impact factor: 5.923