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Behera S, Belyeu JR, Chen X, Paulin LF, Nguyen NQH, Newman E, Mahmoud M, Menon VK, Qi Q, Joshi P, Marcovina S, Rossi M, Roller E, Han J, Onuchic V, Avery CL, Ballantyne CM, Rodriguez CJ, Kaplan RC, Muzny DM, Metcalf GA, Gibbs R, Yu B, Boerwinkle E, Eberle MA, Sedlazeck FJ. Identification of allele-specific KIV-2 repeats and impact on Lp(a) measurements for cardiovascular disease risk. bioRxiv 2023:2023.04.24.538128. [PMID: 37163057 PMCID: PMC10168217 DOI: 10.1101/2023.04.24.538128] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
The abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging. In this study, we present the DRAGEN KIV-2 CN caller, which utilizes short reads. Data across 166 WGS show that the caller has high accuracy, compared to optical mapping and can further phase ~50% of the samples. We compared KIV-2 CN numbers to 24 previously postulated KIV-2 relevant SNVs, revealing that many are ineffective predictors of KIV-2 copy number. Population studies, including USA-based cohorts, showed distinct KIV-2 CN, distributions for European-, African-, and Hispanic-American populations and further underscored the limitations of SNV predictors. We demonstrate that the CN estimates correlate significantly with the available Lp(a) protein levels and that phasing is highly important.
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Affiliation(s)
- S Behera
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - X Chen
- Illumina Inc., San Diego, CA, USA
| | - L F Paulin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - N Q H Nguyen
- School of Public Health, University of Texas Health Science Center at Houston, TX, USA
| | - E Newman
- Illumina Inc., San Diego, CA, USA
| | - M Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - V K Menon
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Q Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - P Joshi
- Medpace Reference Laboratories, Cincinnati, OH, USA
| | - S Marcovina
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - M Rossi
- Illumina Inc., San Diego, CA, USA
| | - E Roller
- Illumina Inc., San Diego, CA, USA
| | - J Han
- Illumina Inc., San Diego, CA, USA
| | | | - C L Avery
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - C M Ballantyne
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - C J Rodriguez
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - R C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Center, Public Health Sciences Division, Seattle WA 98109
| | - D M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - G A Metcalf
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - R Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - B Yu
- School of Public Health, University of Texas Health Science Center at Houston, TX, USA
| | - E Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- School of Public Health, University of Texas Health Science Center at Houston, TX, USA
| | | | - F J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, USA
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Parker W, Despain RW, Bailey J, Elster E, Rodriguez CJ, Bradley M. Military experience in the management of pelvic fractures from OIF/OEF. BMJ Mil Health 2023; 169:108-111. [PMID: 32938710 DOI: 10.1136/bmjmilitary-2020-001469] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/22/2020] [Accepted: 07/01/2020] [Indexed: 11/03/2022]
Abstract
INTRODUCTION Pelvic fractures are a common occurrence in combat trauma. However, the fracture pattern and management within the most recent conflicts, i.e. Operation Enduring Freedom (OEF) and Operation Iraqi Freedom (OIF), have yet to be described, especially in the context of dismounted complex blast injury. Our goal was to identify the incidence, patterns of injury and management of pelvic fractures. METHODS We conducted a retrospective review on all combat-injured patients who arrived at our military treatment hospital between November 2010 and November 2012. Basic demographics, Young-Burgess fracture pattern classification and treatment strategies were examined. RESULTS Of 562 patients identified within the study time period, 14% (81 of 562) were found to have a pelvic fracture. The vast majority (85%) were secondary to an improvised explosive device. The average Injury Severity Score for patients with pelvic fracture was 31±12 and 70% were classified as open. Of the 228 patients with any traumatic lower extremity amputation, 23% had pelvic fractures, while 30% of patients with bilateral above-knee amputations also sustained a pelvic fracture. The most common Young-Burgess injury pattern was anteroposterior compression (APC) (57%), followed by lateral compression (LC) (36%) and vertical shear (VS) (7%). Only 2% (nine of 562) of all patients were recorded as having pelvic binders placed in the prehospital setting. 49% of patients with pelvic fracture required procedural therapy, the most common of which was placement of a pelvic external fixator (34 of 40; 85%), followed by preperitoneal packing (16 of 40; 40%) and angioembolisation (three of 40; 0.75%). 17 (42.5%) patients required combinations of these three treatment modalities, the majority of which were a combination of external fixator and preperitoneal packing. The likelihood to need procedural therapy was impacted by injury pattern, as 72% of patients with an APC injury, 100% of patients with a VS injury and 25% of patients with an LC injury required procedural therapy. CONCLUSIONS Pelvic fractures were common concomitant injuries following blast-induced traumatic lower extremity amputations. APC was the most common pelvic fracture pattern identified. While procedural therapy was frequent, the majority of patients underwent conservative therapy. However, placement of an external fixator was the most frequently used modality. Considering angioembolisation was used in less than 1% of cases, in the forward deployed military environment, management should focus on pelvic external fixation±preperitoneal packing. Finally, prehospital pelvic binder application may be an area for further process improvement.
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Affiliation(s)
- William Parker
- Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - R W Despain
- Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - J Bailey
- Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - E Elster
- Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - C J Rodriguez
- Division of Trauma, John Peter Smith Hospital, Fort Worth, Texas, USA
| | - M Bradley
- Department of Surgery, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland, USA
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Rodriguez CJ, Daviglus ML, Lopez JAG, Wu Y, Monsalvo ML, Ferdinand KC. P6192Effects of evolocumab on LDL-C by race and ethnicity: an analysis of double-blind and open-label extension studies. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.0797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background/Introduction
Cardiovascular risk factors and clinical outcomes of atherosclerotic cardiovascular disease (ASCVD) vary amongst racial and ethnic groups.
Purpose
To examine the effects of evolocumab on low-density lipoprotein cholesterol (LDL-C) levels and achievement of LDL-C target goals by race or ethnicity.
Methods
Data from global phase 2 and 3 studies with at least 12 weeks of treatment with approved evolocumab doses vs. placebo or ezetimibe were included in this analysis (n=4375). Results were analysed by patient characteristics (statin intolerance, type 2 diabetes, heterozygous familial hypercholesterolaemia, and hypercholesterolaemia/mixed dyslipidaemia), self-identified race (White, Black/African American, and Asian), and self-identified ethnicity (Hispanic/Latino). Key outcomes included percent change in LDL-C, achievement of LDL-C <1.8 mmol/L (<70 mg/dL), and LDL-C achievement of at least 50% reduction.
Results
After 12-week evolocumab treatment, mean percent change in LDL-C from baseline ranged from approximately −52% to −59% for white patients to −49% to −67% for non-white patients, across all groups with adequate sample size (n>20) (Table). LDL-C <1.8 mmol/L was achieved in 43–84% of white patients and 62–94% of non-white patients receiving evolocumab (n>20). Similarly, 63–78% of white patients and 58–86% of non-white patients achieved at least a 50% reduction in LDL-C. The magnitude of treatment effect on mean percent change in LDL-C differed significantly only between white and non-white patients with diabetes (interaction p-values of treatment by race for evolocumab every 2 weeks p<0.001; once monthly p=0.007). This was driven by a greater reduction in Asian patients.
Mean (standard deviation) percent change in LDL-C levels from baseline, % Achievement of LDL-C <1.8 mmol/L (70 mg/dL)/LDL-C achievement of at least 50% reduction, % Population White Non-White Non-Hispanic Black or African American Asian Hispanic/Latino* White Non-White Non-Hispanic Black or African American Asian Hispanic/Latino* Statin-Intolerant† −55.4 (14.8) −46.3 (20.9) −46.0 (13.4) −49.0 (29.3) −54.6 (12.3) 42.9 / 68.6 26.7 / 60.0 14.3 / 42.9 50.0 / 83.3 0 / 66.7 n=210 n=15 n=7 n=6 n=3 Diabetes‡ −51.5 (25.6) −66.5 (21.2) −50.4 (22.2) −69.6 (20.2) −59.7 (20.5) 82.3 / 63.0 93.9 / 82.0 90.0 / 62.5 95.1 / 86.6 89.2 / 75.3 n=440 n=395 n=40 n=305 n=158 HeFH§ −57.3 (19.7) −64.1 (12.0) −73.8 (4.1) −60.5 (12.8) −35.8§§ 66.1 / 73.7 61.5 / 84.6 100 / 100 53.3 / 80.0 0 / 0 n=236 n=26 n=3 n=15 n=1 Hyper-cholesterolaemia/ −58.8 (19.2) −65.5 (17.0) −51.2 (19.4) −69.4 (13.9) −54.6 (20.3) 83.3 / 77.6 89.7 / 86.0 74.4 / 60.5 94.7 / 93.5 79.1 / 69.2 Mixed Dyslipidaemia¶ n=1399 n=437 n=86 n=339 n=91 Hyper-cholesterolaemia/ −59.4 (17.1) −58.4 (16.9) −52.8 (19.4) −65.8 (10.3) −56.7 (22.1) 80.2 / 78.5 85.7 / 75.7 82.4 / 67.6 96.7 / 93.3 77.3 / 68.2 Mixed Dyslipidaemia†† n=605 n=70 n=34 n=30 n=44 1-Year Study‡‡ −52.1 (27.7) −48.6 (29.2) −50.8 (22.0) −49.5 (29.4) −43.0 (43.1) 84.4 / 67.4 73.6 / 57.5 74.5 / 59.6 76.5 / 58.8 82.1 / 60.7 n=436 n=106 n=47 n=34 n=28 †GAUSS-1, -2 studies; ‡BANTING and BERSON studies; §RUTHERFORD-1, -2 studies; ¶Placebo comparator: MENDEL-1, -2, LAPLACE-TIMI-57, LAPLACE-2 and YUKAWA-1, -2 studies; ††Ezetimibe comparator: MENDEL-2 and LAPLACE-2 atorvastatin cohorts; ‡‡DESCARTES; §§Standard deviation could not be calculated due to insufficient sample size. *A total of 22 patients receiving evolocumab self-identified as Hispanic Black.
Conclusion
Reduction in LDL-C levels with evolocumab treatment was similar across race and ethnicity, apart from the diabetes population where Asian patients had a greater reduction in LDL-C.
Acknowledgement/Funding
Amgen Inc.
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Affiliation(s)
- C J Rodriguez
- Wake Forest University, Winston-Salem, United States of America
| | - M L Daviglus
- University of Illinois, Chicago, United States of America
| | - J A G Lopez
- Global Development, Amgen Inc., Thousand Oaks, United States of America
| | - Y Wu
- Global Development, Amgen Inc., Thousand Oaks, United States of America
| | - M L Monsalvo
- Global Development, Amgen Inc., Thousand Oaks, United States of America
| | - K C Ferdinand
- Tulane University, New Orleans, United States of America
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Ponce S, Allison MA, Swett K, Cai J, Desai AA, Hurwitz BE, Ni A, Schneiderman N, Shah SJ, Spevack DM, Talavera GA, Rodriguez CJ. The associations between anthropometric measurements and left ventricular structure and function: the Echo-SOL Study. Obes Sci Pract 2018; 4:387-395. [PMID: 30151233 PMCID: PMC6105700 DOI: 10.1002/osp4.279] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 04/13/2018] [Accepted: 04/26/2018] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE The objective of this study is to determine associations between anthropometry and echocardiographic measures of cardiac structure and function in Hispanic/Latinos. METHODS A total of 1,824 participants from ECHO-SOL were included. We evaluated associations between echocardiographic measures of left ventricular structure and function and anthropometric measures using multivariable-adjusted linear and logistic regression models adjusting for traditional cardiovascular risk factors. RESULTS The mean age was 56 ± 0.17 years, 57% were women. The mean body mass index (BMI) was 30 ± 9.4 kg m-2, waist circumference (WC) was 100 ± 18 cm, and waist-to-hip ratio (WHR) was 0.93 ± 0.15. Adjusted analysis showed that 5-unit increment in BMI and 5-cm increase in WC was associated with 3.4 ± 0.6 and 1.05 ± 0.05 g m-2.7 (p < 0.05 for both) higher left ventricular (LV) mass index, respectively. Similarly, 0.1-unit increment in WHR was associated with 2.0 ± 0.16 g m-2.7 higher LV mass index (p < 0.01). WHR was associated with 0.22 ± 0.08% decrease in ejection fraction (p < 0.05). Concomitantly, 5-unit increment in BMI and WC was associated with increased odds of abnormal LV geometry (odds ratio 1.40 and 1.16, p = 0.03 and <0.01, respectively); 0.1-unit increment in WHR was associated with increased odds of abnormal LV geometry (odds ratio 1.51, p < 0.01). CONCLUSIONS Among Hispanic/Latinos, higher anthropometric measures were associated with adverse cardiac structure and function.
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Affiliation(s)
- S. Ponce
- Family Medicine and Public Health DepartmentUniversity of California San DiegoLa JollaCAUSA
| | - M. A. Allison
- Family Medicine and Public Health DepartmentUniversity of California San DiegoLa JollaCAUSA
| | - K. Swett
- Biostatistics DepartmentUniversity of North CarolinaChapel HillNCUSA
| | - J. Cai
- Biostatistics DepartmentUniversity of North CarolinaChapel HillNCUSA
| | - A. A. Desai
- Department of MedicineUniversity of ArizonaTucsonAZUSA
| | - B. E. Hurwitz
- Department of PsychologyUniversity of MiamiCoral GablesFLUSA
| | - A. Ni
- Biostatistics DepartmentUniversity of North CarolinaChapel HillNCUSA
| | - N. Schneiderman
- Department of PsychologyUniversity of MiamiCoral GablesFLUSA
| | - S. J. Shah
- Department of MedicineNorthwestern UniversityEvanstonILUSA
| | - D. M. Spevack
- Department of MedicineAlbert Einstein College of MedicineBronxNYUSA
| | - G. A. Talavera
- Graduate School of Public HealthSan Diego State UniversitySan DiegoCAUSA
| | - C. J. Rodriguez
- Epidemiology and PreventionWake Forest UniversityWinston‐SalemNCUSA
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