Box-plot representing the RCA phasic coronary flow pattern (D/S) according the pulmonary artery systolic pressure, showing no difference between pulmonary non-hypertensive and hypertensive subgroups

<p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> APV – time-averaged peak coronary flow velocity; D/S – diastolic/systolic APV ratio; N – number of patients; RCA – right coronary artery

Box-plot representing the RCA phasic coronary flow pattern (D/S) according the RV ejection fraction, showing no difference between RV non-dysfunctional vs

<p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> dysfunctional subgroups. APV – time-averaged peak coronary flow velocity; D/S – diastolic/systolic APV ratio; N – number of patients; RCA – right coronary artery; RV EF – right ventricular ejection fraction

Genomic positions that associated to traits (unadjusted P-value <10⁻⁶, intergenic positions not shown).

<p>Genomic positions that associated to traits (unadjusted P-value <10⁻⁶, intergenic positions not shown).</p

Right coronary artery spectral Doppler coronary flow velocity signal in baseline (A) and hyperemic (B) conditions

<p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> S = systolic, D = diastolic, portions of phasic coronary flow. APV = time-averaged peak coronary flow velocity. DSVR = diastolic/systolic flow velocity ratio

Individual ancestry proportion estimation assuming 4 (K = 4) ancestral populations (color-coded).

<p>X-axis shows individuals and y-axis shows ancestry proportions. A) 4 related Hapmap populations: CEU, CHB, ASW, and MEX; B) Chagas cohorts stratified by self-reported races.</p

Baseline spectral Doppler coronary flow velocity signal in right coronary artery (A) and left anterior descending coronary artery (B)

<p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> S = systolic, D = diastolic, portions of phasic coronary flow. APV = time-averaged peak coronary flow velocity. DSVR = diastolic/systolic flow velocity ratio

Box-plot representing the RCA vs LAD comparison respecting the coronary flow reserve, showing no significant difference

<p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> LAD – left anterior descending coronary artery; N – number of patients; RCA – right coronary artery

Population stratification of Brazilian Chagas cohort along with Hapmap populations.

<p>Each point on the plot represents an individual; each population is coded in a different color. The populations are: ASW: African ancestry in Southwest USA; CEU: Utah residents with Northern and Western European ancestry from the CEPH collection; CHB: Han Chinese in Beijing, China; CHD: Chinese in Metropolitan Denver, Colorado; GIH: Gujarati Indians in Houston, Texas; JPT: Japanese in Tokyo, Japan; LWK: Luhya in Webuye, Kenya; MEX: Mexican ancestry in Los Angeles, California; MKK: Maasai in Kinyawa, Kenya; TSI: Toscans in Italy; YRI: Yoruba in Ibadan, Nigeria.A) Dimension 1 vs. Dimension 2; B) Dimension 2 vs Dimension 3.</p

Table_1_Blood DNA methylation marks discriminate Chagas cardiomyopathy disease clinical forms.docx

Chagas disease is a parasitic disease from South America, affecting around 7 million people worldwide. Decades after the infection, 30% of people develop chronic forms, including Chronic Chagas Cardiomyopathy (CCC), for which no treatment exists. Two stages characterized this form: the moderate form, characterized by a heart ejection fraction (EF) ≥ 0.4, and the severe form, associated to an EF < 0.4. We propose two sets of DNA methylation biomarkers which can predict in blood CCC occurrence, and CCC stage. This analysis, based on machine learning algorithms, makes predictions with more than 95% accuracy in a test cohort. Beyond their predictive capacity, these CpGs are located near genes involved in the immune response, the nervous system, ion transport or ATP synthesis, pathways known to be deregulated in CCCs. Among these genes, some are also differentially expressed in heart tissues. Interestingly, the CpGs of interest are tagged to genes mainly involved in nervous and ionic processes. Given the close link between methylation and gene expression, these lists of CpGs promise to be not only good biomarkers, but also good indicators of key elements in the development of this pathology.</p

Table_2_Blood DNA methylation marks discriminate Chagas cardiomyopathy disease clinical forms.docx

Chagas disease is a parasitic disease from South America, affecting around 7 million people worldwide. Decades after the infection, 30% of people develop chronic forms, including Chronic Chagas Cardiomyopathy (CCC), for which no treatment exists. Two stages characterized this form: the moderate form, characterized by a heart ejection fraction (EF) ≥ 0.4, and the severe form, associated to an EF < 0.4. We propose two sets of DNA methylation biomarkers which can predict in blood CCC occurrence, and CCC stage. This analysis, based on machine learning algorithms, makes predictions with more than 95% accuracy in a test cohort. Beyond their predictive capacity, these CpGs are located near genes involved in the immune response, the nervous system, ion transport or ATP synthesis, pathways known to be deregulated in CCCs. Among these genes, some are also differentially expressed in heart tissues. Interestingly, the CpGs of interest are tagged to genes mainly involved in nervous and ionic processes. Given the close link between methylation and gene expression, these lists of CpGs promise to be not only good biomarkers, but also good indicators of key elements in the development of this pathology.</p