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Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Huth K, Hotz A, Emara N, Robertson B, Leaversuch M, Mercer AN, Khan A, Campos ML, Liss I, Hahn PD, Graham DA, Rossi L, Thomas MV, Elias N, Morris M, Glader L, Pinkham A, Bardsley KM, Wells S, Rogers J, Berry JG, Mauskar S, Starmer AJ. Reduced Postdischarge Incidents After Implementation of a Hospital-to-Home Transition Intervention for Children With Medical Complexity. J Patient Saf 2023; 19:493-500. [PMID: 37729645 DOI: 10.1097/pts.0000000000001155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
OBJECTIVES Prior research suggests that errors occur frequently for patients with medical complexity during the hospital-to-home transition. Less is known about effective postdischarge communication strategies for this population. We aimed to assess rates of 30-day (1) postdischarge incidents and (2) readmissions and emergency department (ED) visits before and after implementing a hospital-to-home intervention. METHODS We conducted a prospective intervention study of children with medical complexity discharged at a children's hospital from April 2018 to March 2020. A multistakeholder team developed a bundled intervention incorporating the I-PASS handoff framework including a postdischarge telephone call, restructured discharge summary, and handoff communication to outpatient providers. The primary outcome measure was rate of postdischarge incidents collected via electronic medical record review and family surveys. Secondary outcomes were 30-day readmissions and ED visits. RESULTS There were 199 total incidents and the most common were medication related (60%), equipment issues (15%), and delays in scheduling/provision of services (11%). The I-PASS intervention was associated with a 36.4% decrease in the rate of incidents per discharge (1.51 versus 0.95, P = 0.003). There were fewer nonharmful errors and quality issues after intervention (1.27 versus 0.85 per discharge, P = 0.02). The 30-day ED visit rate was significantly lower after intervention (12.6% versus 3.4%, per 100 discharges, P = 0.05). Thirty-day readmissions were 15.8% versus 10.2% postintervention (P = 0.32). CONCLUSIONS A postdischarge communication intervention for patients with medical complexity was associated with fewer postdischarge incidents and reduced 30-day ED visits. Standardized postdischarge communication may play an important role in improving quality and safety in the transition from hospital-to-home for vulnerable populations.
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Affiliation(s)
| | | | - Norah Emara
- From the Department of Pediatrics, Boston Children's Hospital
| | | | | | | | | | | | - Isabella Liss
- From the Department of Pediatrics, Boston Children's Hospital
| | - Phillip D Hahn
- Program for Patient Safety and Quality, Boston Children's Hospital
| | | | | | - Margaret V Thomas
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Nahel Elias
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Marie Morris
- From the Department of Pediatrics, Boston Children's Hospital
| | - Laurie Glader
- Department of Pediatrics, Nationwide Children's Hospital, Columbus, Ohio
| | - Amy Pinkham
- From the Department of Pediatrics, Boston Children's Hospital
| | | | - Sarah Wells
- From the Department of Pediatrics, Boston Children's Hospital
| | - Jayne Rogers
- From the Department of Pediatrics, Boston Children's Hospital
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Roseberry K, Le-Niculescu H, Levey DF, Bhagar R, Soe K, Rogers J, Palkowitz S, Pina N, Anastasiadis WA, Gill SS, Kurian SM, Shekhar A, Niculescu AB. Towards precision medicine for anxiety disorders: objective assessment, risk prediction, pharmacogenomics, and repurposed drugs. Mol Psychiatry 2023; 28:2894-2912. [PMID: 36878964 PMCID: PMC10615756 DOI: 10.1038/s41380-023-01998-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/29/2023] [Accepted: 02/10/2023] [Indexed: 03/08/2023]
Abstract
Anxiety disorders are increasingly prevalent, affect people's ability to do things, and decrease quality of life. Due to lack of objective tests, they are underdiagnosed and sub-optimally treated, resulting in adverse life events and/or addictions. We endeavored to discover blood biomarkers for anxiety, using a four-step approach. First, we used a longitudinal within-subject design in individuals with psychiatric disorders to discover blood gene expression changes between self-reported low anxiety and high anxiety states. Second, we prioritized the list of candidate biomarkers with a Convergent Functional Genomics approach using other evidence in the field. Third, we validated our top biomarkers from discovery and prioritization in an independent cohort of psychiatric subjects with clinically severe anxiety. Fourth, we tested these candidate biomarkers for clinical utility, i.e. ability to predict anxiety severity state, and future clinical worsening (hospitalizations with anxiety as a contributory cause), in another independent cohort of psychiatric subjects. We showed increased accuracy of individual biomarkers with a personalized approach, by gender and diagnosis, particularly in women. The biomarkers with the best overall evidence were GAD1, NTRK3, ADRA2A, FZD10, GRK4, and SLC6A4. Finally, we identified which of our biomarkers are targets of existing drugs (such as a valproate, omega-3 fatty acids, fluoxetine, lithium, sertraline, benzodiazepines, and ketamine), and thus can be used to match patients to medications and measure response to treatment. We also used our biomarker gene expression signature to identify drugs that could be repurposed for treating anxiety, such as estradiol, pirenperone, loperamide, and disopyramide. Given the detrimental impact of untreated anxiety, the current lack of objective measures to guide treatment, and the addiction potential of existing benzodiazepines-based anxiety medications, there is a urgent need for more precise and personalized approaches like the one we developed.
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Affiliation(s)
- K Roseberry
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - H Le-Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - D F Levey
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Yale School of Medicine, New Haven, CT, USA
| | - R Bhagar
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - K Soe
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - J Rogers
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - S Palkowitz
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - N Pina
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - W A Anastasiadis
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - S S Gill
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - S M Kurian
- Scripps Health and Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | - A Shekhar
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Office of the Dean, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - A B Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
- Indianapolis VA Medical Center, Indianapolis, IN, USA.
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Lamba H, Kherallah R, Kassi M, Delgado R, Mattar A, Nair A, Chatterjee S, Shafii A, Loor G, Rogers J, Civitello A, Liao K. Greater Burden of Biventricular Dysfunction in Female Recipients of Continuous-Flow Left Ventricular Devices. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Mercer AN, Mauskar S, Baird J, Berry J, Chieco D, Copp K, Cox ED, Haskell H, Hennessy K, Kelly MM, Mallick N, McGeachey A, Melvin P, Ngo T, Pinkham A, Rogers J, Wickremasinghe W, Williams D, Landrigan CP, Khan A. Family Safety Reporting in Hospitalized Children With Medical Complexity. Pediatrics 2022; 150:188486. [PMID: 35791784 DOI: 10.1542/peds.2021-055098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Accepted: 04/29/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Hospitalized children with medical complexity (CMC) are at high risk of medical errors. Their families are an underutilized source of hospital safety data. We evaluated safety concerns from families of hospitalized CMC and patient/parent characteristics associated with family safety concerns. METHODS We conducted a 12-month prospective cohort study of English- and Spanish-speaking parents/staff of hospitalized CMC on 5 units caring for complex care patients at a tertiary care children's hospital. Parents completed safety and experience surveys predischarge. Staff completed surveys during meetings and shifts. Mixed-effects logistic regression with random intercepts controlling for clustering and other patient/parent factors evaluated associations between family safety concerns and patient/parent characteristics. RESULTS A total of 155 parents and 214 staff completed surveys (>89% response rates). 43% (n = 66) had ≥1 hospital safety concerns, totaling 115 concerns (1-6 concerns each). On physician review, 69% of concerns were medical errors and 22% nonsafety-related quality issues. Most parents (68%) reported concerns to staff, particularly bedside nurses. Only 32% of parents recalled being told how to report safety concerns. Higher education (adjusted odds ratio 2.94, 95% confidence interval [1.21-7.14], P = .02) and longer length of stay (3.08 [1.29-7.38], P = .01) were associated with family safety concerns. CONCLUSIONS Although parents of CMC were infrequently advised about how to report safety concerns, they frequently identified medical errors during hospitalization. Hospitals should provide clear mechanisms for families, particularly of CMC and those from disadvantaged backgrounds, to share safety concerns. Actively engaging patients/families in reporting will allow hospitals to develop a more comprehensive, patient-centered view of safety.
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Affiliation(s)
| | | | | | | | | | - Katherine Copp
- Division of General Pediatrics, Department of Pediatrics
| | | | - Helen Haskell
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Massachusetts
| | - Karen Hennessy
- Division of General Pediatrics, Department of Pediatrics
| | - Michelle M Kelly
- Office of Health Equity and Inclusion.,Institute for Nursing and Interprofessional Research, Children's Hospital Los Angeles, Los Angeles, California
| | - Nandini Mallick
- Department of Pediatrics, Mount Sinai School of Medicine, New York, New York
| | - Amanda McGeachey
- Maine Children's Cancer Program, The Barbara Bush Children's Hospital at Maine Medical Center, Scarborough, Maine
| | - Patrice Melvin
- Department of Pediatrics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin.,Mothers Against Medical Error, Columbia, South Carolina
| | - Tiffany Ngo
- Division of General Pediatrics, Department of Pediatrics
| | - Amy Pinkham
- Division of General Pediatrics, Department of Pediatrics
| | - Jayne Rogers
- Division of General Pediatrics, Department of Pediatrics
| | | | - David Williams
- Department of Pediatrics, University of Wisconsin Health, American Family Children's Hospital, Madison, Wisconsin.,Department of Orthopaedic Surgery
| | - Christopher P Landrigan
- Division of General Pediatrics, Department of Pediatrics.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Alisa Khan
- Division of General Pediatrics, Department of Pediatrics.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
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Alexander M, Harris S, Underhill C, Torres J, Sharma S, Lee N, Wong H, Eek R, Michael M, Tie J, Rogers J, Heriot A, Ball D, MacManus M, Wolfe R, Solomon B, Burbury K. PO-44: Risk assessment model potency to detect patients most likely to benefit from thromboprophylaxis: an application of the TARGET- TP score. Thromb Res 2022. [DOI: 10.1016/s0049-3848(22)00234-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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8
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Alexander M, Harris S, Underhill C, Torres J, Sharma S, Lee N, Wong H, Eek R, Michael M, Tie J, Rogers J, Heriot A, Ball D, MacManus M, Wolfe R, Solomon B, Burbury K. OC-15: Targeted thromboprophylaxis in ambulatory patients receiving anticancer therapies for lung or gastrointestinal cancers (TARGET-TP); a randomized trial. Thromb Res 2022. [DOI: 10.1016/s0049-3848(22)00187-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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9
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Blaine K, Wright J, Pinkham A, O'Neill M, Wilkerson S, Rogers J, McBride S, Crofton C, Grodsky S, Hall D, Mauskar S, Akula V, Khan A, Mercer A, Berry JG. Medication Order Errors at Hospital Admission Among Children With Medical Complexity. J Patient Saf 2022; 18:e156-e162. [PMID: 32398538 DOI: 10.1097/pts.0000000000000719] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES We sought to characterize the nature and prevalence of medication order errors (MOEs) occurring at hospital admission for children with medical complexity (CMC), as well as identify the demographic and clinical risk factors for CMC experiencing MOEs. METHODS Prospective cohort study of 1233 hospitalizations for CMC from November 1, 2015, to October 31, 2016, at 2 children's hospitals. Medication order errors at admission were identified prospectively by nurse practitioners and a pharmacist through direct patient care. The primary outcome was presence of at least one MOE at hospital admission. Statistical methods used included χ2 test, Fisher exact tests, and generalized linear mixed models. RESULTS Overall, 6.1% (n = 75) of hospitalizations had ≥1 MOE occurring at admission, representing 112 total identified MOEs. The most common MOEs were incorrect dose (41.1%) and omitted medication (34.8%). Baclofen and clobazam were the medications most commonly associated with MOEs. In bivariable analyses, MOEs at admission varied significantly by age, assistance with medical technology, and numbers of complex chronic conditions and medications (P < 0.05). In multivariable analysis, patients receiving baclofen had the highest adjusted odds of MOEs at admission (odds ratio, 2.2 [95% confidence interval, 1.2-3.8]). CONCLUSIONS Results from this study suggest that MOEs are common for CMC at hospital admission. Children receiving baclofen are at significant risk of experiencing MOEs, even when orders for baclofen are correct. Several limitations of this study suggest possible undercounting of MOEs during the study period. Further investigation of medication reconciliation processes for CMC receiving multiple chronic, home medications is needed to develop effective strategies for reducing MOEs in this vulnerable population.
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Affiliation(s)
| | - John Wright
- Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, TN
| | | | | | - Sarah Wilkerson
- Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, TN
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Swain C, Rogers J, Gane D, Quinn M, Hopkins J, Pullyblank AM. SP3.1.3 Use of a Care Bundle to reduce Surgical Site Infection after Emergency Laparotomy. Br J Surg 2021. [DOI: 10.1093/bjs/znab361.056] [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] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Aim
Surgical Site Infection (SSI) is common after abdominal surgery. A care bundle was introduced to sustainably reduce SSI after elective colorectal surgery. This study aimed to implement an expanded care bundle after emergency laparotomy.
Methods
Quality improvement methodology was used. SSI was measured by direct assessment of the wound in patients in hospital at 30 days. For discharged patients, the PHE SSI surveillance questionnaire was used to measure patient-reported SSI 30 days post-operatively. The care bundle included: 2% chlorhexidine skin preparation; dual ring wound protectors; triclosan-coated sutures for wound closure; second dose of antibiotics >4 hours, betadine to the wound and glove change before closure. Bundle compliance was measured and fed back to surgical teams.
Results
Baseline SSI was 13.5% (178 patients) which reduced to 8.5% (118 patients) following bundle introduction. Response rate was 60%. Compliance with antibacterial sutures was measured for patients whose wounds were closed; 10% received negative pressure dressings. Mortality within 30 days was 9%. Length of stay reduced from mean 22.6 to 12.45, median 13.5 to 9 days.
Conclusion
The care bundle reduced SSI after emergency laparotomy. Measuring SSI is more difficult after emergency surgery due to higher death rate, longer length of stay and use of laparostomy. Other challenges include difficulty using wound protectors for some procedures e.g. adhesiolysis and changing practice from use of skin clips.
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Affiliation(s)
- C Swain
- Somerset Foundation Trust
- Institute of Naval Medicine
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Rahman M, Ghasemi Y, Suley E, Zhou Y, Wang S, Rogers J. Machine Learning Based Computer Aided Diagnosis of Breast Cancer Utilizing Anthropometric and Clinical Features. Ing Rech Biomed 2021. [DOI: 10.1016/j.irbm.2020.05.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
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12
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Lin D, Chang J, Banks A, Rogers J, Paller A, Xu S. 135 Comparing hydration levels in healthy normals vs. atopic dermatitis and xerosis cutis using a novel wireless, non-invasive sensor. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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13
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Rogers J, Reed MP, Blaine K, Manning H. Children with medical complexity: A concept analysis. Nurs Forum 2021; 56:676-683. [PMID: 33625740 DOI: 10.1111/nuf.12559] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 02/28/2020] [Revised: 01/01/2021] [Accepted: 01/29/2021] [Indexed: 11/27/2022]
Abstract
AIM The aim of this paper is to conduct a concept analysis on the term, "children with medical complexity." BACKGROUND Children with medical complexity (CMC) describes pediatric patients with chronic, sustained acuity; however, there is a lack of consensus in the literature regarding its exact meaning, characteristics, and implications. DESIGN This analysis relied upon the framework described by Walker and Avant. DATA SOURCE The CINAHL, MEDLINE, and PubMed databases were queried from April 2020 to December 2020 with an initial search of the literature for the keyword, "children with medical complexity" and other associated terms, such as "pediatric medical complexity" and "nursing care of children with medical complexity." REVIEW METHODS This analysis will explore the concept of CMC and its significance, attributes, antecedents, and consequences. RESULTS This investigation revealed that CMC are a growing population of pediatric patients who have one or more complex chronic conditions that affect multiple body systems, experience functional limitations, require extensive care coordination from multiple providers, and are dependent upon life-sustaining medical technology. CONCLUSIONS The findings can serve as a foundation for future work advancing the understanding of the topic of CMC.
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Affiliation(s)
- Jayne Rogers
- Medical Nursing Service, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Mary P Reed
- Medical Nursing Service, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Kevin Blaine
- Institute for Nursing and Interprofessional Research, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Haylee Manning
- Medical Nursing Service, Boston Children's Hospital, Boston, Massachusetts, USA
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McCauley M, Bailitz J, Horowitz R, Gottlieb M, Hafez N, Rogers J, Au A, Gaspari R, Noble V, Boulger C, Liu R. 31 Development of a Mastery Learning Checklist and Minimal Passing Standard for Emergency Medicine Resident EFAST Training. Ann Emerg Med 2020. [DOI: 10.1016/j.annemergmed.2020.09.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Cusack M, Tyler A, Valenti M, Rogers J, MacLeod M. The Stirling Protocol - Putting the environment at the heart of prosperity and social inclusion. Sci Total Environ 2020; 737:140079. [PMID: 32783830 PMCID: PMC7301142 DOI: 10.1016/j.scitotenv.2020.140079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/05/2020] [Accepted: 06/06/2020] [Indexed: 06/11/2023]
Abstract
While the global coronavirus crisis impacts society and the economy in a myriad of ways, it provides, what is likely to be, a once in a lifetime opportunity for us to rethink our response to climate change. According to the 2020 Global Risk Register, extreme weather and climate action failure are the two most likely and impactful risks to the global economy, which now more than ever needs to be avoided. Addressing the major challenges that we face from climate change can often appear to conflict with economic priorities. Add to this the fact that environmental mitigation steps can inadvertently exclude sections of the population and the enormity and complexity of climate change responses can result in paralysis. In contrast, the Stirling Protocol provides the framework for rapid, effective action and comprises three pillars: Environment, Economy & Inclusion. By addressing and balancing these three pillars, the simple protocol can be adopted throughout organisations putting the environment at the heart of sustainable prosperity and inclusion and provide a benchmark for positive action.
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Affiliation(s)
- M Cusack
- Division of Biological & Environmental Science, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.
| | - A Tyler
- Division of Biological & Environmental Science, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
| | - M Valenti
- Scottish Enterprise, Atrium Court, Waterloo Street, Glasgow G2 6HQ, UK
| | - J Rogers
- Research & Innovation Services, University of Stirling, Stirling FK9 4LA, UK
| | - M MacLeod
- Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
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Chun K, Kim J, Jo H, Lee J, Lee R, Zhang M, Lee K, Chang J, Fishbein A, Paller A, Rogers J, Xu S. 882 Machine learning for measuring scratching in atopic dermatitis using a skin-mounted, soft and wireless sensor: Model selection, feature extraction, and training set performance. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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17
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Zhang M, Aranyosi A, Lee S, Model J, Leech A, Li W, Chen S, Rogers J, Paller A, Ghaffari R, Xu S. 888 Rapid capture, extraction, and analysis of sweat samples for quantification of inflammation biomarkers using a novel wearable microfluidic system. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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18
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Park Y, Kwon K, Kwak J, Kwak S, Yang D, Pontes D, Zhang M, Xu S, Rogers J. 826 Ultra-low profile, soft pressure sensors with wireless communication for wound healing applications. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Dean HF, King E, Gane D, Hocking D, Rogers J, Pullyblank A. Introduction of a care bundle effectively and sustainably reduces patient-reported surgical site infection in patients undergoing colorectal surgery. J Hosp Infect 2020; 105:156-161. [PMID: 32289384 DOI: 10.1016/j.jhin.2020.04.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 01/15/2020] [Accepted: 04/06/2020] [Indexed: 01/27/2023]
Abstract
BACKGROUND Surgical site infection (SSI) is one of the most common healthcare-associated infections and is particularly prevalent following colorectal surgery. It is associated with an increase in patient morbidity and healthcare costs. SSI is difficult to monitor as it frequently presents after discharge from hospital, especially if enhanced recovery programmes are in place. AIM To develop an effective method for measuring patient-reported 30-day SSI in patients undergoing colorectal resection. To implement a new care bundle capable of delivering a sustainable reduction in SSI. METHODS The Public Health England SSI surveillance questionnaire was used. Several data collection methods were tested including postal and telephone-based systems. A new SSI bundle was introduced in our centre incorporating four evidence-based interventions: 2% chlorhexidine skin preparation; repeat-dose antibiotics after 4 h; dual-ring wound protectors; and triclosan-coated sutures for wound closure. System changes were introduced to ensure that the change was sustainable. FINDINGS The most reliable method of measuring patient-reported SSI was found to be postal questionnaire with telephone calls made to non-responders. Response rates to the SSI surveillance questionnaire were consistently >75%. Introduction of the new care bundle produced a significant reduction in SSI from 20% to 10% (P ≤ 0.0001) which has been sustained for six years. CONCLUSION This is a reliable method for measuring 30-day patient-reported SSI rates. The introduction of this new care bundle has halved the rate of SSI from 20% to 10%.
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Affiliation(s)
- H F Dean
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK.
| | - E King
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - D Gane
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - D Hocking
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - J Rogers
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
| | - A Pullyblank
- Department of Colorectal Surgery, North Bristol NHS Trust, Bristol, UK
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Barac Y, Bishawi M, Milano C, Schroder J, Daneshmand M, Hashmi N, Velazquez E, Rogers J, Patel C, Nicoara A. Impact of Tricuspid Valve Repair for Moderate Tricuspid Regurgitation at the Time of Left Ventricular Assist Device Implantation on the Occurrence of Right Heart Failure. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Cho S, Uchino K, Starling R, Mokadam N, Joseph S, Teuteberg J, Tirschwell D, Li S, Jacoski M, Rogers J, Pagani F, Mahr C. Long-Term Neurocognitive Outcomes in LVAD Recipients. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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22
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Song W, Chen Q, Patel C, Yang Q, Wang L, Hanshew W, DeVore A, Schroder J, Milano C, Rogers J, Holley C, Chen D. Pre-Formed Donor-Specific Antibodies Impact Long Term Survival of Heart Transplants. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.1173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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23
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Bamford P, Qin J, Said C, Johns I, Rogers J. 222 Improving Atrial Fibrillation Management: Does It Reduce Stroke Burden? A Single Centre Audit Loop. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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24
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Kiyimba F, Hartson S, Rogers J, Mafi G, VanOverbeke D, Ramanathan R. Differential Protein Abundance in Dark-Cutting and Normal-pH Beef. Meat and Muscle Biology 2019. [DOI: 10.22175/mmb.10798] [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] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
ObjectivesDark-cutting beef is a meat quality defect in which meat does not display the marketable bright-red color. Although previous studies have indicated that the ultimate pH of dark-cutting beef is greater than normal, the mechanistic basis for the occurrence is not clear. Various mitochondrial and glycolytic enzymes/proteins are involved in muscle metabolism and lowering of pH. However, limited knowledge is currently available on the muscle protein profile differences between dark-cutting and normal-pH beef. The objective of the current study was to identify proteins related to the development of the dark-cutting condition by comparing the protein expression differences between dark-cutting and normal-pH beef.Materials and MethodsDark-cutting and normal-pH beef samples were collected from six (n = 6) different animals after slaughter. Tissue samples (0.5 g) were digested in 5 mL of lysis buffer. Tissue lysates were homogenized, boiled, sonicated using a bioruptor and centrifuged at 10,000 g for 10 min. Samples were digested with trypsin/Lys-C overnight at 37°C, after which additional 2 µg/mL of protease was added and digestion was continued for another 8h. The resulting trypsinolytic peptides were acidified to 1% trifluoroacetic acid and purified by solid phase extraction with C18 affinity media. Protein expression profiles of both dark-cutting and normal-pH beef samples were determined using LC-MS/MS mass spectrometry-based proteomics. Collected raw data instrument files were searched against a bovine proteome database of 23,968 bovine proteome sequences using MaxQuant (V.1.5.3.8). Differential protein expression analysis was done in Perseus (V.1.5.1.3). Ingenuity pathway analysis (IPA) was utilized to determine the significant pathways of the differentially expressed proteins in dark-cutting and normal-pH beef. Gene ontology enrichment pathway analysis was performed to determine the main functions of the differentially expressed proteins in dark-cutting and normal-pH beef identified in our samples.ResultsMass spectrometry analysis identified 1148 proteins, and 97 of these proteins were differentially expressed between normal-pH and dark-cutting beef (P < 0.05). Fold change of 1.5 was observed for 29 proteins. Dark-cutting beef had 19 abundant proteins, while normal-pH beef had 10 abundant proteins. The majority of the upregulated proteins in dark-cutting beef were involved in mitochondrial functioning and metabolism, while the majority of the downregulated proteins were important in glycogen degradation, calcium signaling, α-adrenergic signaling, n-NOS-signaling and the proteasome pathways.ConclusionThe results identify new protein biomarkers associated with dark-cutting and suggest new mechanistic explanations for the dark-cutting phenotype.
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Affiliation(s)
- F. Kiyimba
- Oklahoma State University Animal & Food Sciences
| | - S. Hartson
- Oklahoma State University Biochemistry & Molecular Biology
| | - J. Rogers
- Oklahoma State University Biochemistry & Molecular Biology
| | - G. Mafi
- Oklahoma State University Animal & Food Sciences
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Khedraki R, Rajeev M, Rogers J, Heywood J, Srivastava A. To Exchange or Not: Defibrillators, Ventricular Assist Devices and Hematomas. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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26
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Silvestry S, Rogers J, Cotts W, Slaughter M, Prasad S, Jacoski M, Pagani F, Stein L. Relationship between Length of Hospital Stay Post LVAD Implant and Survival: The Potential for Understanding a Less Sick Population. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.1127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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27
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Shah P, Mahr C, Rogers J, Kiernan M, Boyce S, Mokadam N, Pagani F, Vassiliades T, Teuteberg J. Impact of Stroke Onset Severity on 2-Year Survival in Destination Therapy Patients Supported by Centrifugal Flow versus Axial Flow Ventricular Assist Devices. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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28
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Cho S, Starling R, Teuteberg J, Rogers J, Pagani F, Shah P, Uchino K, Vassiliades T. Understanding Risk Factors for Stroke Subtypes in the ENDURANCE Trials. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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29
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Lalloo R, Tadakamadla SK, Kroon J, Tut O, Kularatna S, Boase R, Kapellas K, Gilchrist D, Cobbledick E, Rogers J, Johnson NW. Salivary characteristics and dental caries experience in remote Indigenous children in Australia: a cross-sectional study. BMC Oral Health 2019; 19:21. [PMID: 30654791 PMCID: PMC6337781 DOI: 10.1186/s12903-018-0692-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 12/12/2018] [Indexed: 01/15/2023] Open
Abstract
Background While associations between salivary characteristics and dental caries have been well studied, we are not aware of this being assessed in a remote Indigenous child population, where lifestyles may be different from urban children. Our aim was to assess associations between caries experience and putative biomarkers in saliva, accounting for oral hygiene and dietary habits. Methods Children attending schools in an Indigenous community in remote north Queensland, Australia were invited to an oral examination by qualified and calibrated examiners. Salivary flow rate, pH, buffering capacity and loads of mutans streptococci (MS), lactobacilli (LB) and yeasts were determined. Also, data on tooth brushing frequency and soft drinks consumption were obtained via a questionnaire. Caries experience was recorded by the International Caries Detection and Assessment System (ICDAS-II), and quantified as decayed, missing and filled surfaces. Relationships between the salivary variables and the cumulative caries experience (dmfs+DMFS) in the deciduous and permanent dentitions were examined by multivariate analyses to control the effect of confounders. Results The mean cumulative decayed (DS + ds), missing (MS + ms) and filled (FS + fs) surfaces were 3.64 (SD: 4.97), 1.08 (4.38) and 0.79 (1.84) respectively. Higher salivary MS and LB counts, low tooth brushing frequency and daily soft drink consumption were significantly related to greater caries experience. Caries experience was about twice in those with ≥10^5 CFU/ml saliva counts of MS (mean = 6.33, SD: 8.40 vs 3.11, 5.77) and LB (7.03, 7.49 vs 4.41, 8.00). In the fully-adjusted multivariate model, caries experience in those with higher counts of MS and LB were 51 and 52% more than those with lower counts. Conclusions As with studies in other populations, childhood salivary counts of MS and LB were significantly associated with greater caries experience in this remote Indigenous community. To address the serious burden of oral disease, we are researching ways to promote a healthy oral environment by encouraging good dietary habits, and emphasising the importance of daily tooth brushing with a fluoridated toothpaste. Our ongoing longitudinal studies will indicate the success of measures employed to reduce the counts of bacteria closely associated with cariogenesis and their impact on caries increment. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR), No: ACTRN12615000693527; date of registration: 3rd July 2015.
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Affiliation(s)
- R Lalloo
- School of Dentistry, The University of Queensland, Brisbane, Australia
| | - S K Tadakamadla
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - J Kroon
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia.,School of Dentistry and Oral Health, Griffith University, Gold Coast, Australia
| | - O Tut
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - S Kularatna
- Australian Centre for Health Service Innovation, School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, QLD, 4059, Australia
| | - R Boase
- School of Dentistry, James Cook University, Cairns, Australia
| | - K Kapellas
- Australian Research Centre for Population Oral Health, School of Dentistry, The University of Adelaide, Adelaide, Australia
| | - D Gilchrist
- School of Dentistry, James Cook University, Cairns, Australia
| | - E Cobbledick
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - J Rogers
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia
| | - N W Johnson
- Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Gold Coast, Queensland, 4222, Australia. .,School of Dentistry and Oral Health, Griffith University, Gold Coast, Australia. .,King's College London Dental Institute, London, UK.
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Kiyimba F, Hartson S, Rogers J, Mafi G, VanOverbeke D, Ramanathan R. Differential Protein Abundance in Dark-Cutting and Normal-pH Beef. Meat and Muscle Biology 2019. [DOI: 10.22175/mmb2019.0163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Bamford P, Ray M, Cheruvu S, Parkinson M, Said C, Trappel J, Rogers J. Is Incorrect Anti-Coagulation Dosing Contributing to Ischaemic Stroke Burden? A Retrospective Single-Centre Study from Regional New South Wales, Australia. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.06.196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Baker J, Sharma A, Cao Y, Antone J, Rogers J, Hamilton B, Potters L. Adoption of Knowledge-Based Treatment Planning Models. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Fragkos K, Murray K, Obbard S, Shepherd T, Barragry J, Nwaogu A, Rogers J, Ajibodu S, Keane N, Patel P, MacRae M, Mehta S, Di Caro S, Rahman F. Risk factors for catheter related bloodstream infections in patients on home parenteral nutrition: An audit from a tertiary center in 2017. Clin Nutr 2018. [DOI: 10.1016/j.clnu.2018.06.2041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Rehm KP, Brittan MS, Stephens JR, Mummidi P, Steiner MJ, Gay JC, Ayubi SA, Gujral N, Mittal V, Dunn K, Chiang V, Hall M, Blaine K, O'Neill M, McBride S, Rogers J, Berry JG. Issues Identified by Postdischarge Contact after Pediatric Hospitalization: A Multisite Study. J Hosp Med 2018; 13:236-242. [PMID: 29394301 DOI: 10.12788/jhm.2934] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND Many hospitals are considering contacting hospitalized patients soon after discharge to help with issues that arise. OBJECTIVE To (1) describe the prevalence of contactidentified postdischarge issues (PDI) and (2) assess characteristics of children with the highest likelihood of having a PDI. DESIGN, SETTING, PATIENTS A retrospective analysis of hospital-initiated follow-up contact for 12,986 children discharged from January 2012 to July 2015 from 4 US children's hospitals. Contact was made within 14 days of discharge by hospital staff via telephone call, text message, or e-mail. Standardized questions were asked about issues with medications, appointments, and other PDIs. For each hospital, patient characteristics were compared with the likelihood of PDI by using logistic regression. RESULTS Median (interquartile range) age of children at admission was 4.0 years (0-11); 59.9% were nonHispanic white, and 51.0% used Medicaid. The most common reasons for admission were bronchiolitis (6.3%), pneumonia (6.2%), asthma (5.1%), and seizure (4.9%). Twenty-five percent of hospitalized children (n=3263) reported a PDI at contact (hospital range: 16.0%-62.8%). Most (76.3%) PDIs were related to follow-up appointments (eg, difficulty getting one); 20.8% of PDIs were related to medications (eg, problems filling a prescription). Patient characteristics associated with the likelihood of PDI varied across hospitals. Older age (age 10-18 years vs <1 year) was significantly (P<.001) associated with an increased likelihood of PDI in 3 of 4 hospitals. CONCLUSIONS PDIs were identified often through hospital-initiated follow-up contact. Most PDIs were related to appointments. Hospitals caring for children may find this information useful as they strive to optimize their processes for follow-up contact after discharge.
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Affiliation(s)
- Kris P Rehm
- Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee, USA.
- Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Mark S Brittan
- Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - John R Stephens
- North Carolina Children's Hospital, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Pradeep Mummidi
- Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee, USA
| | - Michael J Steiner
- North Carolina Children's Hospital, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - James C Gay
- Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee, USA
- Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | - Nitin Gujral
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - Vandna Mittal
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - Kelly Dunn
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - Vincent Chiang
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Matt Hall
- Children's Hospital Association, Overland Park, Kansas, USA
| | - Kevin Blaine
- Boston Children's Hospital, Boston, Massachusetts, USA
| | | | - Sarah McBride
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Jayne Rogers
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - Jay G Berry
- Boston Children's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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Abstract
Summary
Objectives:
SNOMED® CT is emerging as a reference terminology for the entire health care process. It claims to be founded on logic-based modelling principles. In this article, we analyze a special encoding scheme for diseases and procedures in SNOMED® CT, the so-called relationship groups (RGs), which had been devised to avoid ambiguities in definitions.
Methods:
We reformulate SNOMED® CT’s relationship groups in the format of description logics in order to check whether RGs serve the needs they were designed for.
Results:
We show that a considerable proportion of relationship groups represent hidden mereological relations. We also report discrepancies encountered between the defined semantics of many SNOMED® CT terms and their intuitive meaning, as well as inconsistencies detected between the definition of various complex composed terms and the definition of their top-level parents.
Conclusions:
We formulate recommendations for improving SNOMED® CT by replacing most occurrences of relation groups by formally more adequate “part-of” relations.
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Hawryluk R, Barnes CW, Batha S, Beer M, Bell M, Bell R, Berk H, Bitter M, Bretz N, Budny R, Bush C, Cauffman S, Chang CS, Chang Z, Cheng C, Darrow D, Dendy R, Dorland W, Dudek L, Duong H, Durst R, Efthimion P, Evenson H, Fisch N, Fisher R, Fonck R, Forrest C, Fredrickson E, Fu G, Furth H, Gorelenkov N, Grek B, Grisham L, Hammett G, Heidbrink W, Herrmann H, Herrmann M, Hill K, Hooper B, Hosea J, Houlberg W, Hughes M, Jassby D, Jobes F, Johnson D, Kaita R, Kamperschroer J, Kesner J, Krazilniknov A, Kugel H, Kumar A, LaMarche P, LeBlanc B, Levine J, Levinton F, Lin Z, Machuzak J, Majeski R, Mansfield D, Mazzucato E, Mauel M, McChesney J, McGuire K, McKee G, Meade D, Medley S, Mikkelsen D, Mimov S, Mueller D, Navratil G, Nazikian R, Nevins B, Okabayashi M, Osakabe M, Owens D, Park H, Park W, Paul S, Petrov M, Phillips C, Phillips M, Phillips P, Ramsey A, Redi M, Rewoldt G, Rice B, Rogers J, Roquemore A, Ruskov E, Sabbagh S, Sasao M, Schilling G, Schmidt G, Scott S, Semenov I, Skinner C, Spong D, Strachan J, Strait E, Stratton B, Synakowski E, Takahashi H, Tang W, Taylor G, Goeler SV, Halle AV, White R, Williams M, Wilson J, Wong K, Wurden G, Young K, Zarnstorff M, Zweben S. Review of D-T Results from TFTR. ACTA ACUST UNITED AC 2018. [DOI: 10.13182/fst96-a11963011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Heikenfeld J, Jajack A, Rogers J, Gutruf P, Tian L, Pan T, Li R, Khine M, Kim J, Wang J, Kim J. Wearable sensors: modalities, challenges, and prospects. Lab Chip 2018; 18:217-248. [PMID: 29182185 PMCID: PMC5771841 DOI: 10.1039/c7lc00914c] [Citation(s) in RCA: 418] [Impact Index Per Article: 69.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Wearable sensors have recently seen a large increase in both research and commercialization. However, success in wearable sensors has been a mix of both progress and setbacks. Most of commercial progress has been in smart adaptation of existing mechanical, electrical and optical methods of measuring the body. This adaptation has involved innovations in how to miniaturize sensing technologies, how to make them conformal and flexible, and in the development of companion software that increases the value of the measured data. However, chemical sensing modalities have experienced greater challenges in commercial adoption, especially for non-invasive chemical sensors. There have also been significant challenges in making significant fundamental improvements to existing mechanical, electrical, and optical sensing modalities, especially in improving their specificity of detection. Many of these challenges can be understood by appreciating the body's surface (skin) as more of an information barrier than as an information source. With a deeper understanding of the fundamental challenges faced for wearable sensors and of the state-of-the-art for wearable sensor technology, the roadmap becomes clearer for creating the next generation of innovations and breakthroughs.
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Affiliation(s)
- J Heikenfeld
- Department of Electrical Engineering & Computer Science, Novel Devices Laboratory, University of Cincinnati, Cincinnati, OH 45221, USA
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Koller D, Bramhall P, Devoy J, Goenaga-Infante H, Harrington CF, Leese E, Morton J, Nuñez S, Rogers J, Sampson B, Powell JJ. Analysis of soluble or titanium dioxide derived titanium levels in human whole blood: consensus from an inter-laboratory comparison. Analyst 2018; 143:5520-5529. [DOI: 10.1039/c8an00824h] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Exposure to titanium (Ti),viathe ingestion of pigment grade Ti dioxide (TiO2), is commonplace for westernised populations.
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Affiliation(s)
- D. Koller
- Biomineral Research Group
- Department of Veterinary Medicine
- University of Cambridge
- Cambridge
- UK
| | - P. Bramhall
- University Hospital of Wales TRACE ELEMENT LABORATORY
- Department of Medical Biochemistry and Immunology
- Cardiff
- UK
| | - J. Devoy
- INRS
- Unité de Génération d'atmosphères et de Chimie Analytique Toxicologique
- 54519 Vandoeuvre-lès-Nancy
- France
| | | | | | - E. Leese
- Health and Safety Executive
- Biological Monitoring
- Buxton
- UK
| | - J. Morton
- Health and Safety Executive
- Biological Monitoring
- Buxton
- UK
| | - S. Nuñez
- LGC Limited
- Inorganic Analysis
- Teddington
- UK
| | - J. Rogers
- University Hospital of Wales TRACE ELEMENT LABORATORY
- Department of Medical Biochemistry and Immunology
- Cardiff
- UK
| | - B. Sampson
- Charing Cross Hospital
- SAS Trace Element Laboratory
- London
- UK
| | - J. J. Powell
- Biomineral Research Group
- Department of Veterinary Medicine
- University of Cambridge
- Cambridge
- UK
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Parkinson M, Bamford P, Touma F, Rogers J, Forsyth C. The Incidence of Incorrect Direct-Acting Oral Anticoagulant Dosing and Associated Iron Deficiency in Hospitalised Cardiac Patients. Heart Lung Circ 2018. [DOI: 10.1016/j.hlc.2018.06.688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Touma F, Clifford L, Guider A, Nicholas N, Howden N, Marshall T, Rogers J, Forsyth C. The Incidence of Iron Deficiency in Hospitalised Cardiac Patients and its Relationship to Anticoagulant and Antiplatelet Therapy. Heart Lung Circ 2018. [DOI: 10.1016/j.hlc.2018.06.689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Hodgson X, Holgate H, Shannon H, Williams G, Smith A, Ovey H, Jefferson H, Spiteri A, Grenside J, Scott M, Guruchandaran R, Simpson K, Geronta I, Tillmann R, Rogers J. The psychometric analyses of the Enfield Determination of Need tool (EDoN), to determine its reliability, validity and utility. Physiotherapy 2017. [DOI: 10.1016/j.physio.2017.11.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Shealer M, Cho R, Mascaro M, McMichael E, Rogers J, Halpern L, Southerland J, Gangula P, Mouton C, Ferguson-Young D, Farmer-Dixon C. An Innovative Protocol to Correlate Intimate Partner Violence (IPV) Exposure, Salivary Biomarkers and Risk of Cardiovascular Disease (CVD). J Oral Maxillofac Surg 2017. [DOI: 10.1016/j.joms.2017.07.110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Kobashigawa J, Khush K, Colvin M, Acker M, Van Bakel A, Eisen H, Naka Y, Patel J, Baran DA, Daun T, Luu M, Olymbios M, Rogers J, Jeevanandam V, Esmailian F, Pagani FD, Lima B, Stehlik J. Report From the American Society of Transplantation Conference on Donor Heart Selection in Adult Cardiac Transplantation in the United States. Am J Transplant 2017; 17:2559-2566. [PMID: 28510318 DOI: 10.1111/ajt.14354] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [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: 12/28/2016] [Revised: 05/02/2017] [Accepted: 05/06/2017] [Indexed: 01/25/2023]
Abstract
Cardiac transplantation remains the only definitive treatment for end-stage heart failure. Transplantation rates are limited by a shortage of donor hearts. This shortage is magnified because many hearts are discarded because of strict selection criteria and concern for regulatory reprimand for less-than-optimal posttransplant outcomes. There is no standardized approach to donor selection despite proposals to liberalize acceptance criteria. A donor heart selection conference was organized to facilitate discussion and generate ideas for future research. The event was attended by 66 participants from 41 centers with considerable experience in cardiac donor selection. There were state-of-the-art presentations on donor selection, with subsequent breakout sessions on standardizing the process and increasing utilization of donor hearts. Participants debated misconceptions and established agreement on donor and recipient risk factors for donor selection and identified the components necessary for a future donor risk score. Ideas for future initiatives include modification of regulatory practices to consider extended criteria donors when evaluating outcomes and prospective studies aimed at identifying the factors leading to nonacceptance of available donor hearts. With agreement on the most important donor and recipient risk factors, it is anticipated that a consistent approach to donor selection will improve rates of heart transplantation.
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Affiliation(s)
| | - K Khush
- Stanford University, Stanford, CA
| | - M Colvin
- University of Michigan, Ann Arbor, MI
| | - M Acker
- University of Pennsylvania, Philadelphia, PA
| | - A Van Bakel
- Medical University of South Carolina, Charleston, SC
| | - H Eisen
- Drexel University, Philadelphia, PA
| | - Y Naka
- Columbia University, New York, NY
| | - J Patel
- Cedars-Sinai Heart Institute, Los Angeles, CA
| | - D A Baran
- Newark Beth Israel Medical Center, Newark, NJ
| | - T Daun
- Cedars-Sinai Heart Institute, Los Angeles, CA
| | - M Luu
- Cedars-Sinai Heart Institute, Los Angeles, CA
| | - M Olymbios
- Cedars-Sinai Heart Institute, Los Angeles, CA
| | | | | | - F Esmailian
- Cedars-Sinai Heart Institute, Los Angeles, CA
| | | | - B Lima
- Baylor University Medical Center, Dallas, TX
| | - J Stehlik
- University of Utah, Salt Lake City, UT
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Rees MA, Dunn TB, Kuhr CS, Marsh CL, Rogers J, Rees SE, Cicero A, Reece LJ, Roth AE, Ekwenna O, Fumo DE, Krawiec KD, Kopke JE, Jain S, Tan M, Paloyo SR. Kidney Exchange to Overcome Financial Barriers to Kidney Transplantation. Am J Transplant 2017; 17:782-790. [PMID: 27992110 DOI: 10.1111/ajt.14106] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [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: 04/06/2016] [Revised: 10/23/2016] [Accepted: 10/24/2016] [Indexed: 01/25/2023]
Abstract
Organ shortage is the major limitation to kidney transplantation in the developed world. Conversely, millions of patients in the developing world with end-stage renal disease die because they cannot afford renal replacement therapy-even when willing living kidney donors exist. This juxtaposition between countries with funds but no available kidneys and those with available kidneys but no funds prompts us to propose an exchange program using each nation's unique assets. Our proposal leverages the cost savings achieved through earlier transplantation over dialysis to fund the cost of kidney exchange between developed-world patient-donor pairs with immunological barriers and developing-world patient-donor pairs with financial barriers. By making developed-world health care available to impoverished patients in the developing world, we replace unethical transplant tourism with global kidney exchange-a modality equally benefitting rich and poor. We report the 1-year experience of an initial Filipino pair, whose recipient was transplanted in the United states with an American donor's kidney at no cost to him. The Filipino donor donated to an American in the United States through a kidney exchange chain. Follow-up care and medications in the Philippines were supported by funds from the United States. We show that the logistical obstacles in this approach, although considerable, are surmountable.
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Affiliation(s)
- M A Rees
- University of Toledo Medical Center, Toledo, OH.,Alliance for Paired Donation, Perrysburg, OH
| | - T B Dunn
- University of Minnesota, Minneapolis, MN
| | - C S Kuhr
- Virginia Mason Medical Center, Seattle, WA
| | - C L Marsh
- Scripps Green Hospital, La Jolla, CA
| | - J Rogers
- Wake Forest Baptist Medical Center, Winston-Salem, NC
| | - S E Rees
- University of Toledo Medical Center, Toledo, OH.,Alliance for Paired Donation, Perrysburg, OH
| | - A Cicero
- ABC Medical Center, Mexico City, Mexico
| | - L J Reece
- Alliance for Paired Donation, Perrysburg, OH
| | - A E Roth
- Stanford University, Stanford, CA
| | - O Ekwenna
- University of Toledo Medical Center, Toledo, OH.,Alliance for Paired Donation, Perrysburg, OH
| | - D E Fumo
- University of Toledo Medical Center, Toledo, OH.,Alliance for Paired Donation, Perrysburg, OH
| | | | - J E Kopke
- Alliance for Paired Donation, Perrysburg, OH
| | - S Jain
- University of Toledo Medical Center, Toledo, OH
| | - M Tan
- Piedmont Hospital, Atlanta, GA
| | - S R Paloyo
- University of the Philippines-Philippine General Hospital, Manila, Philippines.,St. Luke's Medical Center-Global City, Manila, Philippines
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Liu Y, Murali SC, Harris RA, English AC, Qin X, Skinner E, Richards S, Rogers J, Han Y, Vee V, Wang M, Meng Q, Heaton MP, Smith TPL, Dalrymple BP, Kijas J, Cockett NE, Boerwinkle EA, Muzny DM, Gibbs RA, Worley KC. P1009 Sheep reference genome sequence updates: Texel improvements and Rambouillet progress. J Anim Sci 2016. [DOI: 10.2527/jas2016.94supplement418b] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Abstract
Efficient and safe transition from the hospital to the community setting remains a priority in health care. Providers face mounting pressure of both timely discharges and minimizing readmissions, because these factor have an impact on provider reimbursement. Traditionally in academic medical centers, rotating teams of resident physicians have been responsible for discharging inpatients. The acute care pediatric nurse practitioner (PNP), when discharging patients, may arrange follow-up care, prescribe medications, and sign discharge orders, as the resident physician does. Additionally, the PNP is positioned to provide continuity of care and provide detailed discharge teaching and care coordination. The goal of this article is to review the literature pertaining to the nurse practitioner role in discharge facilitation and describe the creation and impact of an innovative nurse practitioner discharge coordinator role at a large urban pediatric medical center where improved discharge times were achieved.
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Hopkins IG, Dunn K, Bourgeois F, Rogers J, Chiang VW. From development to implementation-A smartphone and email-based discharge follow-up program for pediatric patients after hospital discharge. Healthc (Amst) 2016; 4:109-15. [PMID: 27343160 DOI: 10.1016/j.hjdsi.2015.11.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 11/13/2015] [Accepted: 11/22/2015] [Indexed: 11/25/2022]
Abstract
The purpose of this case study was to investigate opportunities to electronically enhance the transitions of care for both patients and providers and to describe the process of development and implementation of such tools. We describe the current challenges and fragmentation of care for pediatric patients and families being discharged from inpatient stays, and review barriers to change in practice. Care transitions vary in the complexity of the clinical and social scenarios and no one-size-fits-all approach works for every patient, provider or hospital system. A substantial challenge that providers who are designing and implementing digital tools for patients surrounds the complexity in building such tools to apply to such broad populations. Our case study provides a framework using a multidisciplinary approach, brainstorming and rapid digital prototyping to build an in-house electronic discharge follow-up platform. In describing this process, we review design and implementation measures that may further support digital tool development in other areas.
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Affiliation(s)
- Israel Green Hopkins
- Division of Pediatric Emergency Medicine, UCSF Benioff Children's Hospital, San Francisco, United States.
| | - Kelly Dunn
- Department of Medicine, Boston Children's Hospital, United States
| | | | - Jayne Rogers
- Department of Medicine, Boston Children's Hospital, United States
| | - Vincent W Chiang
- Department of Medicine, Boston Children's Hospital, United States
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Motherwell DW, Rogers J, Kellagher M, Craig D, O'Reilly DSJ, Cobbe SM. The Introduction of a Chest Pain Nurse and Fast-Track Troponin Service Reduces the Length of Stay of Patients Presenting with Chest Pain. Scott Med J 2016; 52:6-9. [PMID: 17536633 DOI: 10.1258/rsmsmj.52.2.6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background Troponin I (TnI) measurement is important in decision making and management of patients who present with chest pain. Undetectable levels of TnI in these patients are associated with a low risk of death or myocardial infarction at 30 days, and may allow early discharge from hospital. Methods An audit was performed tracking patients who presented with chest pain and had a TnI blood test requested. Routine clinical service was audited for three months. A “fast-track” troponin service and chest pain specialist nurse was then introduced to assist in the management of patients. This was continued for three months to assess the impact on length of stay. Results 446 patients were admitted during the first three month period and 511 patients admitted during the second monitoring period when the new measures were introduced. The time from chest pain onset until the TnI blood test was taken reduced from 23.0 hours to 20.3 hours. The percentage of patients admitted to hospital wards from the Acute Medical Receiving Unit (AMRU) fell from 62% to 53% (p<0.001). The new measures resulted in a reduction in admission time from 73.1 hours to 51.0 hours. Conclusion A fast-track troponin and specialist nurse achieved a reduction of nearly 24 hours in length of stay in patients presenting with chest pain. This would result in a saving of approximately 2000 bed-days per annum, releasing 5-6 acute beds per day.
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Affiliation(s)
- D W Motherwell
- Section of Cardiology, Division of Cardiovascular and Medical Sciences, University of Glasgow, Royal Infirmary, 10 Alexandra Parade, Glasgow G31 2ER.
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Srivastava AK, Wang Y, Huang R, Skinner C, Thompson T, Pollard L, Wood T, Luo F, Stevenson R, Polimanti R, Gelernter J, Lin X, Lim IY, Wu Y, Teh AL, Chen L, Aris IM, Soh SE, Tint MT, MacIsaac JL, Yap F, Kwek K, Saw SM, Kobor MS, Meaney MJ, Godfrey KM, Chong YS, Holbrook JD, Lee YS, Gluckman PD, Karnani N, Kapoor A, Lee D, Chakravarti A, Maercker C, Graf F, Boutros M, Stamoulis G, Santoni F, Makrythanasis P, Letourneau A, Guipponi M, Panousis N, Garieri M, Ribaux P, Falconnet E, Borel C, Antonarakis SE, Kumar S, Curran J, Blangero J, Chatterjee S, Kapoor A, Akiyama J, Auer D, Berrios C, Pennacchio L, Chakravarti A, Donti TR, Cappuccio G, Miller M, Atwal P, Kennedy A, Cardon A, Bacino C, Emrick L, Hertecant J, Baumer F, Porter B, Bainbridge M, Bonnen P, Graham B, Sutton R, Sun Q, Elsea S, Hu Z, Wang P, Zhu Y, Zhao J, Xiong M, Bennett DA, Hidalgo-Miranda A, Romero-Cordoba S, Rodriguez-Cuevas S, Rebollar-Vega R, Tagliabue E, Iorio M, D’Ippolito E, Baroni S, Kaczkowski B, Tanaka Y, Kawaji H, Sandelin A, Andersson R, Itoh M, Lassmann T, Hayashizaki Y, Carninci P, Forrest ARR, Semple CA, Rosenthal EA, Shirts B, Amendola L, Gallego C, Horike-Pyne M, Burt A, Robertson P, Beyers P, Nefcy C, Veenstra D, Hisama F, Bennett R, Dorschner M, Nickerson D, Smith J, Patterson K, Crosslin D, Nassir R, Zubair N, Harrison T, Peters U, Jarvik G, Menghi F, Inaki K, Woo X, Kumar P, Grzeda K, Malhotra A, Kim H, Ucar D, Shreckengast P, Karuturi K, Keck J, Chuang J, Liu ET, Ji B, Tyler A, Ananda G, Carter G, Nikbakht H, Montagne M, Zeinieh M, Harutyunyan A, Mcconechy M, Jabado N, Lavigne P, Majewski J, Goldstein JB, Overman M, Varadhachary G, Shroff R, Wolff R, Javle M, Futreal A, Fogelman D, Bravo L, Fajardo W, Gomez H, Castaneda C, Rolfo C, Pinto JA, Akdemir KC, Chin L, Futreal A, Patterson S, Statz C, Mockus S, Nikolaev SN, Bonilla XI, Parmentier L, King B, Bezrukov F, Kaya G, Zoete V, Seplyarskiy V, Sharpe H, McKee T, Letourneau A, Ribaux P, Popadin K, Basset-Seguin N, Chaabene RB, Santoni F, Andrianova M, Guipponi M, Garieri M, Verdan C, Grosdemange K, Sumara O, Eilers M, Aifantis I, Michielin O, de Sauvage F, Antonarakis S, Likhitrattanapisal S, Lincoln S, Kurian A, Desmond A, Yang S, Kobayashi Y, Ford J, Ellisen L, Peters TL, Alvarez KR, Hollingsworth EF, Lopez-Terrada DH, Hastie A, Dzakula Z, Pang AW, Lam ET, Anantharaman T, Saghbini M, Cao H, Gonzaga-Jauregui C, Ma L, King A, Rosenzweig EB, Krishnan U, Reid JG, Overton JD, Dewey F, Chung WK, Small K, DeLuca A, Cremers F, Lewis RA, Puech V, Bakall B, Silva-Garcia R, Rohrschneider K, Leys M, Shaya FS, Stone E, Sobreira NL, Schiettecatte F, Ling H, Pugh E, Witmer D, Hetrick K, Zhang P, Doheny K, Valle D, Hamosh A, Jhangiani SN, Akdemir ZC, Bainbridge MN, Charng W, Wiszniewski W, Gambin T, Karaca E, Bayram Y, Eldomery MK, Posey J, Doddapaneni H, Hu J, Sutton VR, Muzny DM, Boerwinkle EA, Valle D, Lupski JR, Gibbs RA, Shekar S, Salerno W, English A, Mangubat A, Bruestle J, Thorogood A, Knoppers BM, Takahashi H, Nitta KR, Kozhuharova A, Suzuki AM, Sharma H, Cotella D, Santoro C, Zucchelli S, Gustincich S, Carninci P, Mulvihill JJ, Baynam G, Gahl W, Groft SC, Kosaki K, Lasko P, Melegh B, Taruscio D, Ghosh R, Plon S, Scherer S, Qin X, Sanghvi R, Walker K, Chiang T, Muzny D, Wang L, Black J, Boerwinkle E, Weinshilboum R, Gibbs R, Karpinets T, Calderone T, Wani K, Yu X, Creasy C, Haymaker C, Forget M, Nanda V, Roszik J, Wargo J, Haydu L, Song X, Lazar A, Gershenwald J, Davies M, Bernatchez C, Zhang J, Futreal A, Woodman S, Chesler EJ, Reynolds T, Bubier JA, Phillips C, Langston MA, Baker EJ, Xiong M, Ma L, Lin N, Amos C, Lin N, Wang P, Zhu Y, Zhao J, Calhoun V, Xiong M, Dobretsberger O, Egger M, Leimgruber F, Sadedin S, Oshlack A, Antonio VAA, Ono N, Ahmed Z, Bolisetty M, Zeeshan S, Anguiano E, Ucar D, Sarkar A, Nandineni MR, Zeng C, Shao J, Cao H, Hastie A, Pang AW, Lam ET, Liang T, Pham K, Saghbini M, Dzakula Z, Chee-Wei Y, Dongsheng L, Lai-Ping W, Lian D, Hee ROT, Yunus Y, Aghakhanian F, Mokhtar SS, Lok-Yung CV, Bhak J, Phipps M, Shuhua X, Yik-Ying T, Kumar V, Boon-Peng H, Campbell I, Young MA, James P, Rain M, Mohammad G, Kukreti R, Pasha Q, Akilzhanova AR, Guelly C, Abilova Z, Rakhimova S, Akhmetova A, Kairov U, Trajanoski S, Zhumadilov Z, Bekbossynova M, Schumacher C, Sandhu S, Harkins T, Makarov V, Doddapaneni H, Glenn R, Momin Z, Dilrukshi B, Chao H, Meng Q, Gudenkauf B, Kshitij R, Jayaseelan J, Nessner C, Lee S, Blankenberg K, Lewis L, Hu J, Han Y, Dinh H, Jireh S, Walker K, Boerwinkle E, Muzny D, Gibbs R, Hu J, Walker K, Buhay C, Liu X, Wang Q, Sanghvi R, Doddapaneni H, Ding Y, Veeraraghavan N, Yang Y, Boerwinkle E, Beaudet AL, Eng CM, Muzny DM, Gibbs RA, Worley KCC, Liu Y, Hughes DST, Murali SC, Harris RA, English AC, Qin X, Hampton OA, Larsen P, Beck C, Han Y, Wang M, Doddapaneni H, Kovar CL, Salerno WJ, Yoder A, Richards S, Rogers J, Lupski JR, Muzny DM, Gibbs RA, Meng Q, Bainbridge M, Wang M, Doddapaneni H, Han Y, Muzny D, Gibbs R, Harris RA, Raveenedran M, Xue C, Dahdouli M, Cox L, Fan G, Ferguson B, Hovarth J, Johnson Z, Kanthaswamy S, Kubisch M, Platt M, Smith D, Vallender E, Wiseman R, Liu X, Below J, Muzny D, Gibbs R, Yu F, Rogers J, Lin J, Zhang Y, Ouyang Z, Moore A, Wang Z, Hofmann J, Purdue M, Stolzenberg-Solomon R, Weinstein S, Albanes D, Liu CS, Cheng WL, Lin TT, Lan Q, Rothman N, Berndt S, Chen ES, Bahrami H, Khoshzaban A, Keshal SH, Bahrami H, Khoshzaban A, Keshal SH, Alharbi KKR, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Matar M, Mili N, Molinari R, Ma Y, Guerrier S, Elhawary N, Tayeb M, Bogari N, Qotb N, McClymont SA, Hook PW, Goff LA, McCallion A, Kong Y, Charette JR, Hicks WL, Naggert JK, Zhao L, Nishina PM, Edrees BM, Athar M, Al-Allaf FA, Taher MM, Khan W, Bouazzaoui A, Harbi NA, Safar R, Al-Edressi H, Anazi A, Altayeb N, Ahmed MA, Alansary K, Abduljaleel Z, Kratz A, Beguin P, Poulain S, Kaneko M, Takahiko C, Matsunaga A, Kato S, Suzuki AM, Bertin N, Lassmann T, Vigot R, Carninci P, Plessy C, Launey T, Graur D, Lee D, Kapoor A, Chakravarti A, Friis-Nielsen J, Izarzugaza JM, Brunak S, Chakraborty A, Basak J, Mukhopadhyay A, Soibam BS, Das D, Biswas N, Das S, Sarkar S, Maitra A, Panda C, Majumder P, Morsy H, Gaballah A, Samir M, Shamseya M, Mahrous H, Ghazal A, Arafat W, Hashish M, Gruber JJ, Jaeger N, Snyder M, Patel K, Bowman S, Davis T, Kraushaar D, Emerman A, Russello S, Henig N, Hendrickson C, Zhang K, Rodriguez-Dorantes M, Cruz-Hernandez CD, Garcia-Tobilla CDP, Solorzano-Rosales S, Jäger N, Chen J, Haile R, Hitchins M, Brooks JD, Snyder M, Jiménez-Morales S, Ramírez M, Nuñez J, Bekker V, Leal Y, Jiménez E, Medina A, Hidalgo A, Mejía J, Halytskiy V, Naggert J, Collin GB, DeMauro K, Hanusek R, Nishina PM, Belhassa K, Belhassan K, Bouguenouch L, Samri I, Sayel H, moufid FZ, El Bouchikhi I, Trhanint S, Hamdaoui H, Elotmani I, Khtiri I, Kettani O, Quibibo L, Ahagoud M, Abbassi M, Ouldim K, Marusin AV, Kornetov AN, Swarovskaya M, Vagaiceva K, Stepanov V, De La Paz EMC, Sy R, Nevado J, Reganit P, Santos L, Magno JD, Punzalan FE, Ona D, Llanes E, Santos-Cortes RL, Tiongco R, Aherrera J, Abrahan L, Pagauitan-Alan P, Morelli KH, Domire JS, Pyne N, Harper S, Burgess R, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Gari MA, Dallol A, Alsehli H, Gari A, Gari M, Abuzenadah A, Thomas M, Sukhai M, Garg S, Misyura M, Zhang T, Schuh A, Stockley T, Kamel-Reid S, Sherry S, Xiao C, Slotta D, Rodarmer K, Feolo M, Kimelman M, Godynskiy G, O’Sullivan C, Yaschenko E, Xiao C, Yaschenko E, Sherry S, Rangel-Escareño C, Rueda-Zarate H, Tayubi IA, Mohammed R, Ahmed I, Ahmed T, Seth S, Amin S, Song X, Mao X, Sun H, Verhaak RG, Futreal A, Zhang J, Whiite SJ, Chiang T, English A, Farek J, Kahn Z, Salerno W, Veeraraghavan N, Boerwinkle E, Gibbs R, Kasukawa T, Lizio M, Harshbarger J, Hisashi S, Severin J, Imad A, Sahin S, Freeman TC, Baillie K, Sandelin A, Carninci P, Forrest ARR, Kawaji H, Salerno W, English A, Shekar SN, Mangubat A, Bruestle J, Boerwinkle E, Gibbs RA, Salem AH, Ali M, Ibrahim A, Ibrahim M, Barrera HA, Garza L, Torres JA, Barajas V, Ulloa-Aguirre A, Kershenobich D, Mortaji S, Guizar P, Loera E, Moreno K, De León A, Monsiváis D, Gómez J, Cardiel R, Fernandez-Lopez JC, Bonifaz-Peña V, Rangel-Escareño C, Hidalgo-Miranda A, Contreras AV, Polfus L, Wang X, Philip V, Carter G, Abuzenadah AA, Gari M, Turki R, Dallol A, Uyar A, Kaygun A, Zaman S, Marquez E, George J, Ucar D, Hendrickson CL, Emerman A, Kraushaar D, Bowman S, Henig N, Davis T, Russello S, Patel K, Starr DB, Baird M, Kirkpatrick B, Sheets K, Nitsche R, Prieto-Lafuente L, Landrum M, Lee J, Rubinstein W, Maglott D, Thavanati PKR, de Dios AE, Hernandez REN, Aldrate MEA, Mejia MRR, Kanala KRR, Abduljaleel Z, Khan W, Al-Allaf FA, Athar M, Taher MM, Shahzad N, Bouazzaoui A, Huber E, Dan A, Al-Allaf FA, Herr W, Sprotte G, Köstler J, Hiergeist A, Gessner A, Andreesen R, Holler E, Al-Allaf F, Alashwal A, Abduljaleel Z, Taher M, Bouazzaoui A, Abalkhail H, Al-Allaf A, Bamardadh R, Athar M, Filiptsova O, Kobets M, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Al-allaf FA, Mohiuddin MT, Zainularifeen A, Mohammed A, Abalkhail H, Owaidah T, Bouazzaoui A. Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016. Hum Genomics 2016; 10 Suppl 1:12. [PMID: 27294413 PMCID: PMC4896275 DOI: 10.1186/s40246-016-0063-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s disease Z. Hu, P. Wang, Y. Zhu, J. Zhao, M. Xiong, David A Bennett O11 A microRNA signature identifies subtypes of triple-negative breast cancer and reveals MIR-342-3P as regulator of a lactate metabolic pathway A. Hidalgo-Miranda, S. Romero-Cordoba, S. Rodriguez-Cuevas, R. Rebollar-Vega, E. Tagliabue, M. Iorio, E. D’Ippolito, S. Baroni O12 Transcriptome analysis identifies genes, enhancer RNAs and repetitive elements that are recurrently deregulated across multiple cancer types B. Kaczkowski, Y. Tanaka, H. Kawaji, A. Sandelin, R. Andersson, M. Itoh, T. Lassmann, the FANTOM5 consortium, Y. Hayashizaki, P. Carninci, A. R. R. Forrest O13 Elevated mutation and widespread loss of constraint at regulatory and architectural binding sites across 11 tumour types C. A. Semple O14 Exome sequencing provides evidence of pathogenicity for genes implicated in colorectal cancer E. A. Rosenthal, B. Shirts, L. Amendola, C. Gallego, M. Horike-Pyne, A. Burt, P. Robertson, P. Beyers, C. Nefcy, D. Veenstra, F. Hisama, R. Bennett, M. Dorschner, D. Nickerson, J. Smith, K. Patterson, D. Crosslin, R. Nassir, N. Zubair, T. Harrison, U. Peters, G. Jarvik, NHLBI GO Exome Sequencing Project O15 The tandem duplicator phenotype as a distinct genomic configuration in cancer F. Menghi, K. Inaki, X. Woo, P. Kumar, K. Grzeda, A. Malhotra, H. Kim, D. Ucar, P. Shreckengast, K. Karuturi, J. Keck, J. Chuang, E. T. Liu O16 Modeling genetic interactions associated with molecular subtypes of breast cancer B. Ji, A. Tyler, G. Ananda, G. Carter O17 Recurrent somatic mutation in the MYC associated factor X in brain tumors H. Nikbakht, M. Montagne, M. Zeinieh, A. Harutyunyan, M. Mcconechy, N. Jabado, P. Lavigne, J. Majewski O18 Predictive biomarkers to metastatic pancreatic cancer treatment J. B. Goldstein, M. Overman, G. Varadhachary, R. Shroff, R. Wolff, M. Javle, A. Futreal, D. Fogelman O19 DDIT4 gene expression as a prognostic marker in several malignant tumors L. Bravo, W. Fajardo, H. Gomez, C. Castaneda, C. Rolfo, J. A. Pinto O20 Spatial organization of the genome and genomic alterations in human cancers K. C. Akdemir, L. Chin, A. Futreal, ICGC PCAWG Structural Alterations Group O21 Landscape of targeted therapies in solid tumors S. Patterson, C. Statz, S. Mockus O22 Genomic analysis reveals novel drivers and progression pathways in skin basal cell carcinoma S. N. Nikolaev, X. I. Bonilla, L. Parmentier, B. King, F. Bezrukov, G. Kaya, V. Zoete, V. Seplyarskiy, H. Sharpe, T. McKee, A. Letourneau, P. Ribaux, K. Popadin, N. Basset-Seguin, R. Ben Chaabene, F. Santoni, M. Andrianova, M. Guipponi, M. Garieri, C. Verdan, K. Grosdemange, O. Sumara, M. Eilers, I. Aifantis, O. Michielin, F. de Sauvage, S. Antonarakis O23 Identification of differential biomarkers of hepatocellular carcinoma and cholangiocarcinoma via transcriptome microarray meta-analysis S. Likhitrattanapisal O24 Clinical validity and actionability of multigene tests for hereditary cancers in a large multi-center study S. Lincoln, A. Kurian, A. Desmond, S. Yang, Y. Kobayashi, J. Ford, L. Ellisen O25 Correlation with tumor ploidy status is essential for correct determination of genome-wide copy number changes by SNP array T. L. Peters, K. R. Alvarez, E. F. Hollingsworth, D. H. Lopez-Terrada O26 Nanochannel based next-generation mapping for interrogation of clinically relevant structural variation A. Hastie, Z. Dzakula, A. W. Pang, E. T. Lam, T. Anantharaman, M. Saghbini, H. Cao, BioNano Genomics O27 Mutation spectrum in a pulmonary arterial hypertension (PAH) cohort and identification of associated truncating mutations in TBX4 C. Gonzaga-Jauregui, L. Ma, A. King, E. Berman Rosenzweig, U. Krishnan, J. G. Reid, J. D. Overton, F. Dewey, W. K. Chung O28 NORTH CAROLINA macular dystrophy (MCDR1): mutations found affecting PRDM13 K. Small, A. DeLuca, F. Cremers, R. A. Lewis, V. Puech, B. Bakall, R. Silva-Garcia, K. Rohrschneider, M. Leys, F. S. Shaya, E. Stone O29 PhenoDB and genematcher, solving unsolved whole exome sequencing data N. L. Sobreira, F. Schiettecatte, H. Ling, E. Pugh, D. Witmer, K. Hetrick, P. Zhang, K. Doheny, D. Valle, A. Hamosh O30 Baylor-Johns Hopkins Center for Mendelian genomics: a four year review S. N. Jhangiani, Z. Coban Akdemir, M. N. Bainbridge, W. Charng, W. Wiszniewski, T. Gambin, E. Karaca, Y. Bayram, M. K. Eldomery, J. Posey, H. Doddapaneni, J. Hu, V. R. Sutton, D. M. Muzny, E. A. Boerwinkle, D. Valle, J. R. Lupski, R. A. Gibbs O31 Using read overlap assembly to accurately identify structural genetic differences in an ashkenazi jewish trio S. Shekar, W. Salerno, A. English, A. Mangubat, J. Bruestle O32 Legal interoperability: a sine qua non for international data sharing A. Thorogood, B. M. Knoppers, Global Alliance for Genomics and Health - Regulatory and Ethics Working Group O33 High throughput screening platform of competent sineups: that can enhance translation activities of therapeutic target H. Takahashi, K. R. Nitta, A. Kozhuharova, A. M. Suzuki, H. Sharma, D. Cotella, C. Santoro, S. Zucchelli, S. Gustincich, P. Carninci O34 The undiagnosed diseases network international (UDNI): clinical and laboratory research to meet patient needs J. J. Mulvihill, G. Baynam, W. Gahl, S. C. Groft, K. Kosaki, P. Lasko, B. Melegh, D. Taruscio O36 Performance of computational algorithms in pathogenicity predictions for activating variants in oncogenes versus loss of function mutations in tumor suppressor genes R. Ghosh, S. Plon O37 Identification and electronic health record incorporation of clinically actionable pharmacogenomic variants using prospective targeted sequencing S. Scherer, X. Qin, R. Sanghvi, K. Walker, T. Chiang, D. Muzny, L. Wang, J. Black, E. Boerwinkle, R. Weinshilboum, R. Gibbs O38 Melanoma reprogramming state correlates with response to CTLA-4 blockade in metastatic melanoma T. Karpinets, T. Calderone, K. Wani, X. Yu, C. Creasy, C. Haymaker, M. Forget, V. Nanda, J. Roszik, J. Wargo, L. Haydu, X. Song, A. Lazar, J. Gershenwald, M. Davies, C. Bernatchez, J. Zhang, A. Futreal, S. Woodman O39 Data-driven refinement of complex disease classification from integration of heterogeneous functional genomics data in GeneWeaver E. J. Chesler, T. Reynolds, J. A. Bubier, C. Phillips, M. A. Langston, E. J. Baker O40 A general statistic framework for genome-based disease risk prediction M. Xiong, L. Ma, N. Lin, C. Amos O41 Integrative large-scale causal network analysis of imaging and genomic data and its application in schizophrenia studies N. Lin, P. Wang, Y. Zhu, J. Zhao, V. Calhoun, M. Xiong O42 Big data and NGS data analysis: the cloud to the rescue O. Dobretsberger, M. Egger, F. Leimgruber O43 Cpipe: a convergent clinical exome pipeline specialised for targeted sequencing S. Sadedin, A. Oshlack, Melbourne Genomics Health Alliance O44 A Bayesian classification of biomedical images using feature extraction from deep neural networks implemented on lung cancer data V. A. A. Antonio, N. Ono, Clark Kendrick C. Go O45 MAV-SEQ: an interactive platform for the Management, Analysis, and Visualization of sequence data Z. Ahmed, M. Bolisetty, S. Zeeshan, E. Anguiano, D. Ucar O47 Allele specific enhancer in EPAS1 intronic regions may contribute to high altitude adaptation of Tibetans C. Zeng, J. Shao O48 Nanochannel based next-generation mapping for structural variation detection and comparison in trios and populations H. Cao, A. Hastie, A. W. Pang, E. T. Lam, T. Liang, K. Pham, M. Saghbini, Z. Dzakula O49 Archaic introgression in indigenous populations of Malaysia revealed by whole genome sequencing Y. Chee-Wei, L. Dongsheng, W. Lai-Ping, D. Lian, R. O. Twee Hee, Y. Yunus, F. Aghakhanian, S. S. Mokhtar, C. V. Lok-Yung, J. Bhak, M. Phipps, X. Shuhua, T. Yik-Ying, V. Kumar, H. Boon-Peng O50 Breast and ovarian cancer prevention: is it time for population-based mutation screening of high risk genes? I. Campbell, M.-A. Young, P. James, Lifepool O53 Comprehensive coverage from low DNA input using novel NGS library preparation methods for WGS and WGBS C. Schumacher, S. Sandhu, T. Harkins, V. Makarov O54 Methods for large scale construction of robust PCR-free libraries for sequencing on Illumina HiSeqX platform H. DoddapaneniR. Glenn, Z. Momin, B. Dilrukshi, H. Chao, Q. Meng, B. Gudenkauf, R. Kshitij, J. Jayaseelan, C. Nessner, S. Lee, K. Blankenberg, L. Lewis, J. Hu, Y. Han, H. Dinh, S. Jireh, K. Walker, E. Boerwinkle, D. Muzny, R. Gibbs O55 Rapid capture methods for clinical sequencing J. Hu, K. Walker, C. Buhay, X. Liu, Q. Wang, R. Sanghvi, H. Doddapaneni, Y. Ding, N. Veeraraghavan, Y. Yang, E. Boerwinkle, A. L. Beaudet, C. M. Eng, D. M. Muzny, R. A. Gibbs O56 A diploid personal human genome model for better genomes from diverse sequence data K. C. C. Worley, Y. Liu, D. S. T. Hughes, S. C. Murali, R. A. Harris, A. C. English, X. Qin, O. A. Hampton, P. Larsen, C. Beck, Y. Han, M. Wang, H. Doddapaneni, C. L. Kovar, W. J. Salerno, A. Yoder, S. Richards, J. Rogers, J. R. Lupski, D. M. Muzny, R. A. Gibbs O57 Development of PacBio long range capture for detection of pathogenic structural variants Q. Meng, M. Bainbridge, M. Wang, H. Doddapaneni, Y. Han, D. Muzny, R. Gibbs O58 Rhesus macaques exhibit more non-synonymous variation but greater impact of purifying selection than humans R. A. Harris, M. Raveenedran, C. Xue, M. Dahdouli, L. Cox, G. Fan, B. Ferguson, J. Hovarth, Z. Johnson, S. Kanthaswamy, M. Kubisch, M. Platt, D. Smith, E. Vallender, R. Wiseman, X. Liu, J. Below, D. Muzny, R. Gibbs, F. Yu, J. Rogers O59 Assessing RNA structure disruption induced by single-nucleotide variation J. Lin, Y. Zhang, Z. Ouyang P1 A meta-analysis of genome-wide association studies of mitochondrial dna copy number A. Moore, Z. Wang, J. Hofmann, M. Purdue, R. Stolzenberg-Solomon, S. Weinstein, D. Albanes, C.-S. Liu, W.-L. Cheng, T.-T. Lin, Q. Lan, N. Rothman, S. Berndt P2 Missense polymorphic genetic combinations underlying down syndrome susceptibility E. S. Chen P4 The evaluation of alteration of ELAM-1 expression in the endometriosis patients H. Bahrami, A. Khoshzaban, S. Heidari Keshal P5 Obesity and the incidence of apolipoprotein E polymorphisms in an assorted population from Saudi Arabia population K. K. R. Alharbi P6 Genome-associated personalized antithrombotical therapy for patients with high risk of thrombosis and bleeding M. Zhalbinova, A. Akilzhanova, S. Rakhimova, M. Bekbosynova, S. Myrzakhmetova P7 Frequency of Xmn1 polymorphism among sickle cell carrier cases in UAE population M. Matar P8 Differentiating inflammatory bowel diseases by using genomic data: dimension of the problem and network organization N. Mili, R. Molinari, Y. Ma, S. Guerrier P9 Vulnerability of genetic variants to the risk of autism among Saudi children N. Elhawary, M. Tayeb, N. Bogari, N. Qotb P10 Chromatin profiles from ex vivo purified dopaminergic neurons establish a promising model to support studies of neurological function and dysfunction S. A. McClymont, P. W. Hook, L. A. Goff, A. McCallion P11 Utilization of a sensitized chemical mutagenesis screen to identify genetic modifiers of retinal dysplasia in homozygous Nr2e3rd7 mice Y. Kong, J. R. Charette, W. L. Hicks, J. K. Naggert, L. Zhao, P. M. Nishina P12 Ion torrent next generation sequencing of recessive polycystic kidney disease in Saudi patients B. M. Edrees, M. Athar, F. A. Al-Allaf, M. M. Taher, W. Khan, A. Bouazzaoui, N. A. Harbi, R. Safar, H. Al-Edressi, A. Anazi, N. Altayeb, M. A. Ahmed, K. Alansary, Z. Abduljaleel P13 Digital expression profiling of Purkinje neurons and dendrites in different subcellular compartments A. Kratz, P. Beguin, S. Poulain, M. Kaneko, C. Takahiko, A. Matsunaga, S. Kato, A. M. Suzuki, N. Bertin, T. Lassmann, R. Vigot, P. Carninci, C. Plessy, T. Launey P14 The evolution of imperfection and imperfection of evolution: the functional and functionless fractions of the human genome D. Graur P16 Species-independent identification of known and novel recurrent genomic entities in multiple cancer patients J. Friis-Nielsen, J. M. Izarzugaza, S. Brunak P18 Discovery of active gene modules which are densely conserved across multiple cancer types reveal their prognostic power and mutually exclusive mutation patterns B. S. Soibam P19 Whole exome sequencing of dysplastic leukoplakia tissue indicates sequential accumulation of somatic mutations from oral precancer to cancer D. Das, N. Biswas, S. Das, S. Sarkar, A. Maitra, C. Panda, P. Majumder P21 Epigenetic mechanisms of carcinogensis by hereditary breast cancer genes J. J. Gruber, N. Jaeger, M. Snyder P22 RNA direct: a novel RNA enrichment strategy applied to transcripts associated with solid tumors K. Patel, S. Bowman, T. Davis, D. Kraushaar, A. Emerman, S. Russello, N. Henig, C. Hendrickson P23 RNA sequencing identifies gene mutations for neuroblastoma K. Zhang P24 Participation of SFRP1 in the modulation of TMPRSS2-ERG fusion gene in prostate cancer cell lines M. Rodriguez-Dorantes, C. D. Cruz-Hernandez, C. D. P. Garcia-Tobilla, S. Solorzano-Rosales P25 Targeted Methylation Sequencing of Prostate Cancer N. Jäger, J. Chen, R. Haile, M. Hitchins, J. D. Brooks, M. Snyder P26 Mutant TPMT alleles in children with acute lymphoblastic leukemia from México City and Yucatán, Mexico S. Jiménez-Morales, M. Ramírez, J. Nuñez, V. Bekker, Y. Leal, E. Jiménez, A. Medina, A. Hidalgo, J. Mejía P28 Genetic modifiers of Alström syndrome J. Naggert, G. B. Collin, K. DeMauro, R. Hanusek, P. M. Nishina P31 Association of genomic variants with the occurrence of angiotensin-converting-enzyme inhibitor (ACEI)-induced coughing among Filipinos E. M. Cutiongco De La Paz, R. Sy, J. Nevado, P. Reganit, L. Santos, J. D. Magno, F. E. Punzalan , D. Ona , E. Llanes, R. L. Santos-Cortes , R. Tiongco, J. Aherrera, L. Abrahan, P. Pagauitan-Alan; Philippine Cardiogenomics Study Group P32 The use of “humanized” mouse models to validate disease association of a de novo GARS variant and to test a novel gene therapy strategy for Charcot-Marie-Tooth disease type 2D K. H. Morelli, J. S. Domire, N. Pyne, S. Harper, R. Burgess P34 Molecular regulation of chondrogenic human induced pluripotent stem cells M. A. Gari, A. Dallol, H. Alsehli, A. Gari, M. Gari, A. Abuzenadah P35 Molecular profiling of hematologic malignancies: implementation of a variant assessment algorithm for next generation sequencing data analysis and clinical reporting M. Thomas, M. Sukhai, S. Garg, M. Misyura, T. Zhang, A. Schuh, T. Stockley, S. Kamel-Reid P36 Accessing genomic evidence for clinical variants at NCBI S. Sherry, C. Xiao, D. Slotta, K. Rodarmer, M. Feolo, M. Kimelman, G. Godynskiy, C. O’Sullivan, E. Yaschenko P37 NGS-SWIFT: a cloud-based variant analysis framework using control-accessed sequencing data from DBGAP/SRA C. Xiao, E. Yaschenko, S. Sherry P38 Computational assessment of drug induced hepatotoxicity through gene expression profiling C. Rangel-Escareño, H. Rueda-Zarate P40 Flowr: robust and efficient pipelines using a simple language-agnostic approach;ultraseq; fast modular pipeline for somatic variation calling using flowr S. Seth, S. Amin, X. Song, X. Mao, H. Sun, R. G. Verhaak, A. Futreal, J. Zhang P41 Applying “Big data” technologies to the rapid analysis of heterogenous large cohort data S. J. Whiite, T. Chiang, A. English, J. Farek, Z. Kahn, W. Salerno, N. Veeraraghavan, E. Boerwinkle, R. Gibbs P42 FANTOM5 web resource for the large-scale genome-wide transcription start site activity profiles of wide-range of mammalian cells T. Kasukawa, M. Lizio, J. Harshbarger, S. Hisashi, J. Severin, A. Imad, S. Sahin, T. C. Freeman, K. Baillie, A. Sandelin, P. Carninci, A. R. R. Forrest, H. Kawaji, The FANTOM Consortium P43 Rapid and scalable typing of structural variants for disease cohorts W. Salerno, A. English, S. N. Shekar, A. Mangubat, J. Bruestle, E. Boerwinkle, R. A. Gibbs P44 Polymorphism of glutathione S-transferases and sulphotransferases genes in an Arab population A. H. Salem, M. Ali, A. Ibrahim, M. Ibrahim P46 Genetic divergence of CYP3A5*3 pharmacogenomic marker for native and admixed Mexican populations J. C. Fernandez-Lopez, V. Bonifaz-Peña, C. Rangel-Escareño, A. Hidalgo-Miranda, A. V. Contreras P47 Whole exome sequence meta-analysis of 13 white blood cell, red blood cell, and platelet traits L. Polfus, CHARGE and NHLBI Exome Sequence Project Working Groups P48 Association of adipoq gene with type 2 diabetes and related phenotypes in african american men and women: The jackson heart study S. Davis, R. Xu, S. Gebeab, P Riestra, A Gaye, R. Khan, J. Wilson, A. Bidulescu P49 Common variants in casr gene are associated with serum calcium levels in koreans S. H. Jung, N. Vinayagamoorthy, S. H. Yim, Y. J. Chung P50 Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with multiple exponential functions Y. Zhou, S. Xu P51 A Bayesian framework for generalized linear mixed models in genome-wide association studies X. Wang, V. Philip, G. Carter P52 Targeted sequencing approach for the identification of the genetic causes of hereditary hearing impairment A. A. Abuzenadah, M. Gari, R. Turki, A. Dallol P53 Identification of enhancer sequences by ATAC-seq open chromatin profiling A. Uyar, A. Kaygun, S. Zaman, E. Marquez, J. George, D. Ucar P54 Direct enrichment for the rapid preparation of targeted NGS libraries C. L. Hendrickson, A. Emerman, D. Kraushaar, S. Bowman, N. Henig, T. Davis, S. Russello, K. Patel P56 Performance of the Agilent D5000 and High Sensitivity D5000 ScreenTape assays for the Agilent 4200 Tapestation System R. Nitsche, L. Prieto-Lafuente P57 ClinVar: a multi-source archive for variant interpretation M. Landrum, J. Lee, W. Rubinstein, D. Maglott P59 Association of functional variants and protein physical interactions of human MUTY homolog linked with familial adenomatous polyposis and colorectal cancer syndrome Z. Abduljaleel, W. Khan, F. A. Al-Allaf, M. Athar , M. M. Taher, N. Shahzad P60 Modification of the microbiom constitution in the gut using chicken IgY antibodies resulted in a reduction of acute graft-versus-host disease after experimental bone marrow transplantation A. Bouazzaoui, E. Huber, A. Dan, F. A. Al-Allaf, W. Herr, G. Sprotte, J. Köstler, A. Hiergeist, A. Gessner, R. Andreesen, E. Holler P61 Compound heterozygous mutation in the LDLR gene in Saudi patients suffering severe hypercholesterolemia F. Al-Allaf, A. Alashwal, Z. Abduljaleel, M. Taher, A. Bouazzaoui, H. Abalkhail, A. Al-Allaf, R. Bamardadh, M. Athar
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Affiliation(s)
| | - Y. Wang
- School of Computing, Clemson University, Clemson, SC USA
| | - R. Huang
- Biochemical Genetics Laboratory, Greenwood Genetic Center, Greenwood, SC USA
| | - C. Skinner
- JCSRI, Greenwood Genetic Center, Greenwood, SC USA
| | - T. Thompson
- Biochemical Genetics Laboratory, Greenwood Genetic Center, Greenwood, SC USA
| | - L. Pollard
- Biochemical Genetics Laboratory, Greenwood Genetic Center, Greenwood, SC USA
| | - T. Wood
- Biochemical Genetics Laboratory, Greenwood Genetic Center, Greenwood, SC USA
| | - F. Luo
- School of Computing, Clemson University, Clemson, SC USA
| | - R. Stevenson
- JCSRI, Greenwood Genetic Center, Greenwood, SC USA
| | - R. Polimanti
- Department Psychiatry, Yale Sch Med and VA CT Healthcare Center, West Haven, CT USA
| | - J. Gelernter
- Department Psychiatry, Yale Sch Med and VA CT Healthcare Center, West Haven, CT USA
- Department Genetics, Yale Sch Med and VA CT Healthcare Center, West Haven, CT USA
- Department Neurobiology, Yale Sch Med and VA CT Healthcare Center, West Haven, CT USA
| | - X. Lin
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - I. Y. Lim
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - Y. Wu
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A. L. Teh
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - L. Chen
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - I. M. Aris
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - S. E. Soh
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - M. T. Tint
- National University of Singapore, Singapore, Singapore
| | - J. L. MacIsaac
- University of British Columbia, Vancouver, British Columbia Canada
| | - F. Yap
- KK Women’s and Children’s Hospital, Singapore, Singapore
| | - K. Kwek
- KK Women’s and Children’s Hospital, Singapore, Singapore
| | - S. M. Saw
- National University of Singapore, Singapore, Singapore
| | - M. S. Kobor
- University of British Columbia, Vancouver, British Columbia Canada
| | - M. J. Meaney
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - K. M. Godfrey
- University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Y. S. Chong
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - J. D. Holbrook
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - Y. S. Lee
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - P. D. Gluckman
- Singapore Institute for Clinical Sciences, Singapore, Singapore
- University of Auckland, Auckland, New Zealand
| | - N. Karnani
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | | | - A. Kapoor
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - D. Lee
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - A. Chakravarti
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - C. Maercker
- Esslingen University of Applied Sciences, Esslingen, Germany
| | - F. Graf
- German Cancer Research Center, Heidelberg, Germany
| | - M. Boutros
- German Cancer Research Center, Heidelberg, Germany
| | - G. Stamoulis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - F. Santoni
- Geneva University Hospitals-HUG, Service of Genetic Medicine, Geneva, Switzerland
| | - P. Makrythanasis
- Geneva University Hospitals-HUG, Service of Genetic Medicine, Geneva, Switzerland
| | - A. Letourneau
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - M. Guipponi
- Geneva University Hospitals-HUG, Service of Genetic Medicine, Geneva, Switzerland
| | - N. Panousis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - M. Garieri
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - P. Ribaux
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - E. Falconnet
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - C. Borel
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - S. E. Antonarakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Geneva University Hospitals-HUG, Service of Genetic Medicine, Geneva, Switzerland
- iGE3 Institute of Genetics and Genomics of Geneva, University of Geneva Medical School, Geneva, Switzerland
| | - S. Kumar
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio-Grande Valley, Edinburg, TX USA
| | - J. Curran
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio-Grande Valley, Brownsville, TX USA
| | - J. Blangero
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio-Grande Valley, Brownsville, TX USA
| | - S. Chatterjee
- Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD USA
| | - A. Kapoor
- Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD USA
| | - J. Akiyama
- Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA USA
| | - D. Auer
- Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD USA
| | - C. Berrios
- Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD USA
| | - L. Pennacchio
- Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA USA
| | - A. Chakravarti
- Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD USA
| | - T. R. Donti
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - G. Cappuccio
- Department of Translational Medical Sciences, Federico II University, Naples, Italy
| | - M. Miller
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - P. Atwal
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | | | - A. Cardon
- Section of Pediatric Neurology and Neuroscience, Baylor College of Medicine, Houston, TX USA
| | - C. Bacino
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - L. Emrick
- Section of Pediatric Neurology and Neuroscience, Baylor College of Medicine, Houston, TX USA
| | | | - F. Baumer
- Stanford Medical School, Stanford, CA USA
| | - B. Porter
- Stanford Medical School, Stanford, CA USA
| | - M. Bainbridge
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - P. Bonnen
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - B. Graham
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - R. Sutton
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - Q. Sun
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - S. Elsea
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - Z. Hu
- School of Public Health, Houston Health Science Center, Houston, TX USA
| | - P. Wang
- University of Texas, Houston Health Science Center, Houston, TX USA
| | - Y. Zhu
- Tulane University, New Orleans, LO USA
| | - J. Zhao
- Tulane University, New Orleans, LO USA
| | - M. Xiong
- University of Texas, Houston Health Science Center, Houston, TX USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University, Chicago, IL USA
| | - A. Hidalgo-Miranda
- Cancer Genomics Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
| | - S. Romero-Cordoba
- Cancer Genomics Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
| | | | - R. Rebollar-Vega
- Cancer Genomics Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
| | | | - M. Iorio
- National Tumor Institute, Milan, Italy
| | | | - S. Baroni
- National Tumor Institute, Milan, Italy
| | - B. Kaczkowski
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Y. Tanaka
- Preventive Medicine and Applied Genomics unit, RIKEN Advanced Center for Computing and Communication, Yokohama, Japan
| | - H. Kawaji
- Preventive Medicine and Applied Genomics unit, RIKEN Advanced Center for Computing and Communication, Yokohama, Japan
| | - A. Sandelin
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - R. Andersson
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - M. Itoh
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - T. Lassmann
- Telethon Kids Institute, The University of Western Australia, Perth, Australia
| | | | - Y. Hayashizaki
- RIKEN Preventive Medicine & Diagnosis Innovation Program, Wako, Japan
| | - P. Carninci
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - A. R. R. Forrest
- Harry Perkins Institute of Medical Research, The University of Western Australia, Nedlands, Australia
| | - C. A. Semple
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | | | | | | | - C. Gallego
- University of Michigan, Ann Arbor, MI USA
| | | | - A. Burt
- Univ of Washington, Seattle, WA USA
| | | | | | - C. Nefcy
- Univ of Washington, Seattle, WA USA
| | | | | | | | | | | | - J. Smith
- Univ of Washington, Seattle, WA USA
| | | | | | - R. Nassir
- University California, Davis, CA USA
| | | | | | - U. Peters
- Univ of Washington, Seattle, WA USA
- Fred Hutch, Seattle, WA USA
| | | | | | - F. Menghi
- The Jackson Laboratory, Farmington, CT USA
| | - K. Inaki
- The Jackson Laboratory, Farmington, CT USA
| | - X. Woo
- The Jackson Laboratory, Farmington, CT USA
| | - P. Kumar
- The Jackson Laboratory, Farmington, CT USA
| | - K. Grzeda
- The Jackson Laboratory, Farmington, CT USA
| | | | - H. Kim
- The Jackson Laboratory, Farmington, CT USA
| | - D. Ucar
- The Jackson Laboratory, Farmington, CT USA
| | | | | | - J. Keck
- The Jackson Laboratory, Sacramento, CA USA
| | - J. Chuang
- The Jackson Laboratory, Farmington, CT USA
| | - E. T. Liu
- The Jackson Laboratory, Farmington, CT USA
| | - B. Ji
- The Jackson Laboratory, Bar Harbor, ME USA
| | - A. Tyler
- The Jackson Laboratory, Bar Harbor, ME USA
| | - G. Ananda
- The Jackson Laboratory, Bar Harbor, ME USA
| | - G. Carter
- The Jackson Laboratory, Bar Harbor, ME USA
| | - H. Nikbakht
- Human Genetics, McGill University, Montreal, Quebec Canada
| | - M. Montagne
- Biochemistry, Sherbrooke University, Sherbrooke, Quebec Canada
| | - M. Zeinieh
- Human Genetics, McGill University, Montreal, Quebec Canada
| | - A. Harutyunyan
- Human Genetics, McGill University, Montreal, Quebec Canada
| | - M. Mcconechy
- Human Genetics, McGill University, Montreal, Quebec Canada
| | - N. Jabado
- Pediatrics, McGill University, Montreal, Quebec Canada
| | - P. Lavigne
- Biochemistry, Sherbrooke University, Sherbrooke, Quebec Canada
| | - J. Majewski
- Human Genetics, McGill University, Montreal, Quebec Canada
| | - J. B. Goldstein
- Genomic Medicine, MD Anderson Cancer Center, Houston, TX USA
| | - M. Overman
- Gastrointestinal Medical Oncology, MD Anderson Cancer Center, Houston, TX USA
| | - G. Varadhachary
- Gastrointestinal Medical Oncology, MD Anderson Cancer Center, Houston, TX USA
| | - R. Shroff
- Gastrointestinal Medical Oncology, MD Anderson Cancer Center, Houston, TX USA
| | - R. Wolff
- Gastrointestinal Medical Oncology, MD Anderson Cancer Center, Houston, TX USA
| | - M. Javle
- Gastrointestinal Medical Oncology, MD Anderson Cancer Center, Houston, TX USA
| | - A. Futreal
- Genomic Medicine, MD Anderson Cancer Center, Houston, TX USA
| | - D. Fogelman
- Gastrointestinal Medical Oncology, MD Anderson Cancer Center, Houston, TX USA
| | - L. Bravo
- Escuela de Medicina Humana, Universidad Privada San Juan Bautista, Lima, Peru
| | - W. Fajardo
- Escuela de Medicina Humana, Universidad Privada San Juan Bautista, Lima, Peru
| | - H. Gomez
- Unidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Lima, Peru
| | - C. Castaneda
- Unidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Lima, Peru
| | - C. Rolfo
- Oncology Department, University Hospital Antwerp, Antwerp, Belgium
| | - J. A. Pinto
- Unidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Lima, Peru
| | - K. C. Akdemir
- Genomic Medicine, MD Anderson Cancer Center, Houston, TX USA
| | - L. Chin
- University of Texas System, Houston, TX USA
| | - A. Futreal
- Genomic Medicine, MD Anderson Cancer Center, Houston, TX USA
| | | | - S. Patterson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - C. Statz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - S. Mockus
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - S. N. Nikolaev
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
| | - X. I. Bonilla
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
| | - L. Parmentier
- Department of Dermatology, Hospital of Valais, Sion, Switzerland
| | - B. King
- Department of Pathology, NYU School of Medicine, New York, NY USA
| | - F. Bezrukov
- Department of Physics, University of Connecticut, Connecticut, USA
| | - G. Kaya
- Department of Dermatology, University Hospitals of Geneva, Geneva, Switzerland
| | - V. Zoete
- Swiss Institute of Bioinformatics, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - V. Seplyarskiy
- Institute of Information Transmission Problems, Russian Academy of Sciences, Moscow, Russian Federation
| | - H. Sharpe
- Department of Molecular Oncology, Genentech Inc, San Francisco, CA USA
| | - T. McKee
- Service of Clinical Pathology, University Hospitals of Geneva, Geneva, Switzerland
| | - A. Letourneau
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - P. Ribaux
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - K. Popadin
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | | | - R. Ben Chaabene
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - F. Santoni
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - M. Andrianova
- Institute of Information Transmission Problems, Russian Academy of Sciences, Moscow, Russian Federation
| | - M. Guipponi
- Service of Genetic Medicine, University Hospitals of Geneva, Geneva, Switzerland
| | - M. Garieri
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - C. Verdan
- Service of Clinical Pathology, University Hospitals of Geneva, Geneva, Switzerland
| | - K. Grosdemange
- Department of Dermatology, University Hospitals of Geneva, Geneva, Switzerland
| | - O. Sumara
- Department of Biochemistry and Molecular Biology, University of Würzburg, Würzburg, Germany
| | - M. Eilers
- Department of Biochemistry and Molecular Biology, University of Würzburg, Würzburg, Germany
| | - I. Aifantis
- Department of Pathology, NYU School of Medicine, New York, NY USA
| | - O. Michielin
- Swiss Institute of Bioinformatics, Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - F. de Sauvage
- Department of Molecular Oncology, Genentech Inc, San Francisco, CA USA
| | - S. Antonarakis
- Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
| | | | | | - A. Kurian
- Stanford Medical Center, Palo Alto, CA USA
| | - A. Desmond
- Massachusetts General Hospital, Boston, MA USA
| | - S. Yang
- Invitae, San Francisco, CA USA
| | | | - J. Ford
- Stanford Medical Center, San Francisco, CA USA
| | - L. Ellisen
- Massachusetts General Hospital, Boston, MA USA
| | - T. L. Peters
- Pathology & Immunology, Baylor College of Medicine, Houston, TX USA
| | - K. R. Alvarez
- Pathology, Texas Children’s Hospital, Houston, TX USA
| | | | - D. H. Lopez-Terrada
- Pathology & Immunology, Baylor College of Medicine, Houston, TX USA
- Pathology, Texas Children’s Hospital, Houston, TX USA
| | - A. Hastie
- BioNano Genomics, Inc, San Diego, CA USA
| | - Z. Dzakula
- BioNano Genomics, Inc, San Diego, CA USA
| | - A. W. Pang
- BioNano Genomics, Inc, San Diego, CA USA
| | - E. T. Lam
- BioNano Genomics, Inc, San Diego, CA USA
| | | | | | - H. Cao
- BioNano Genomics, Inc, San Diego, CA USA
| | | | - C. Gonzaga-Jauregui
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Tarrytown, New York, NY USA
| | - L. Ma
- Department of Pediatrics, New York, NY USA
| | - A. King
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Tarrytown, New York, NY USA
| | - E. Berman Rosenzweig
- Department of Pediatrics, New York, NY USA
- Department of Medicine, Columbia University Medical Center, New York, NY USA
| | | | - J. G. Reid
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Tarrytown, New York, NY USA
| | - J. D. Overton
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Tarrytown, New York, NY USA
| | - F. Dewey
- Regeneron Genetics Center, Regeneron Pharmaceuticals, Tarrytown, New York, NY USA
| | - W. K. Chung
- Department of Pediatrics, New York, NY USA
- Department of Medicine, Columbia University Medical Center, New York, NY USA
| | - K. Small
- Molecular Insight Research Foundation, Glendale, ᅟ
| | - A. DeLuca
- Ophthalmology, University of Iowa, Iowa City, IA USA
| | - F. Cremers
- Biology, Raboud University Medical Center, Nijmegen, Netherlands
| | - R. A. Lewis
- Ophthalmology, Baylor College of Medicine, Houston, TX USA
| | - V. Puech
- Service d’Exploration de la vision et Neuro-ophtalmologie CHRU, Service d’Exploration de la vision et Neuro-ophtalmologie CHRU, Lille, France
| | - B. Bakall
- Associated Retina Consultants, University of Arizona College of Medicine, Phoenix, TX USA
| | | | | | - M. Leys
- WVU Eye Institute, Morgantown, WV USA
| | - F. S. Shaya
- Molecular Insight Research Foundation, Glendale, ᅟ
| | - E. Stone
- University of Iowa, Iowa City, IA USA
| | - N. L. Sobreira
- Johns Hopkins University School of Medicine, Baltimore, MD USA
| | | | - H. Ling
- Center for Inherited Disease Research, JHUSOM, Baltimore, MD USA
| | - E. Pugh
- Center for Inherited Disease Research, JHUSOM, Baltimore, MD USA
| | - D. Witmer
- Center for Inherited Disease Research, JHUSOM, Baltimore, MD USA
| | - K. Hetrick
- Center for Inherited Disease Research, JHUSOM, Baltimore, MD USA
| | - P. Zhang
- Center for Inherited Disease Research, JHUSOM, Baltimore, MD USA
| | - K. Doheny
- Center for Inherited Disease Research, JHUSOM, Baltimore, MD USA
| | - D. Valle
- Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - A. Hamosh
- Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - S. N. Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - Z. Coban Akdemir
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - M. N. Bainbridge
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - W. Charng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - W. Wiszniewski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - T. Gambin
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - E. Karaca
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - Y. Bayram
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - M. K. Eldomery
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - J. Posey
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - H. Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - J. Hu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - V. R. Sutton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - D. M. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - E. A. Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - D. Valle
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - J. R. Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - R. A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | | | - W. Salerno
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - A. English
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | | | | | - A. Thorogood
- Centre of Genomics and Policy, McGill University, Montreal, Quebec Canada
| | - B. M. Knoppers
- Centre of Genomics and Policy, McGill University, Montreal, Quebec Canada
| | | | - H. Takahashi
- Center for Life Science Technologies, Division of Genomic Technologies, RIKEN, Yokohama, Japan
| | - K. R. Nitta
- Center for Life Science Technologies, Division of Genomic Technologies, RIKEN, Yokohama, Japan
| | - A. Kozhuharova
- Center for Life Science Technologies, Division of Genomic Technologies, RIKEN, Yokohama, Japan
| | - A. M. Suzuki
- Center for Life Science Technologies, Division of Genomic Technologies, RIKEN, Yokohama, Japan
| | - H. Sharma
- Center for Life Science Technologies, Division of Genomic Technologies, RIKEN, Yokohama, Japan
| | - D. Cotella
- Dipartimento di Scienze della Salute, Universita’ del Piemonte Orientale, Novara, Italy
| | - C. Santoro
- Dipartimento di Scienze della Salute, Universita’ del Piemonte Orientale, Novara, Italy
| | - S. Zucchelli
- Area of Neuroscience, SISSA, International School for Advanced Studies, Trieste, Italy
| | - S. Gustincich
- Area of Neuroscience, SISSA, International School for Advanced Studies, Trieste, Italy
| | - P. Carninci
- Center for Life Science Technologies, Division of Genomic Technologies, RIKEN, Yokohama, Japan
| | - J. J. Mulvihill
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD USA
| | - G. Baynam
- Office of Population Health, Department of Health, Perth, Australia
| | - W. Gahl
- Undiagnosed Diseases Program, National Human Genome Research Institute, Bethesda, MD USA
| | - S. C. Groft
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD USA
| | - K. Kosaki
- Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan
| | - P. Lasko
- Department of Biology, McGill University, Montreal, Quebec Canada
| | - B. Melegh
- Department of Medical Genetics, University of Pecs, Pecs, Hungary
| | - D. Taruscio
- National Center for Rare Diseases, Istituto Superiore di Sanita, Rome, Italy
| | - R. Ghosh
- Pediatrics-Oncology, Baylor College of Medicine, Houston, TX USA
| | - S. Plon
- Pediatrics-Oncology, Baylor College of Medicine, Houston, TX USA
| | - S. Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - X. Qin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - R. Sanghvi
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - K. Walker
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - T. Chiang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - D. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - L. Wang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, NY USA
| | - J. Black
- Department of Psychiatry, Mayo Clinic, Rochester, NY USA
| | - E. Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | | | - R. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | | | | | - K. Wani
- MD Anderson Cancer Center, Houston, USA
| | - X. Yu
- MD Anderson Cancer Center, Houston, USA
| | - C. Creasy
- MD Anderson Cancer Center, Houston, USA
| | | | - M. Forget
- MD Anderson Cancer Center, Houston, USA
| | - V. Nanda
- MD Anderson Cancer Center, Houston, USA
| | - J. Roszik
- MD Anderson Cancer Center, Houston, USA
| | - J. Wargo
- MD Anderson Cancer Center, Houston, USA
| | - L. Haydu
- MD Anderson Cancer Center, Houston, USA
| | - X. Song
- MD Anderson Cancer Center, Houston, USA
| | - A. Lazar
- MD Anderson Cancer Center, Houston, USA
| | | | - M. Davies
- MD Anderson Cancer Center, Houston, USA
| | | | - J. Zhang
- MD Anderson Cancer Center, Houston, USA
| | | | | | | | | | | | | | | | | | - M. Xiong
- University of Texas School of Public Health, Houston, TX USA
| | - L. Ma
- University of Texas School of Public Health, Houston, TX USA
| | - N. Lin
- University of Texas School of Public Health, Houston, TX USA
| | - C. Amos
- Geisel School of Medicine at Dartmouth, Hanover, NH USA
| | - N. Lin
- Biostatistics, University of Texas Health Science Center at Houston, Houston, TX USA
| | - P. Wang
- Biostatistics, University of Texas Health Science Center at Houston, Houston, TX USA
| | - Y. Zhu
- Tulane University, New Orleans, LO USA
| | - J. Zhao
- Tulane University, New Orleans, LO USA
| | - V. Calhoun
- University of New Mexico, Albuquerque, NM USA
| | - M. Xiong
- University of Texas Health Science Center at Houston, Houston, TX USA
| | | | - M. Egger
- EPS Software Corp, Spring, TX USA
| | | | - S. Sadedin
- Bioinformatics, Murdoch Childrens Research Institute, Parkville, Australia
| | - A. Oshlack
- Bioinformatics, Murdoch Childrens Research Institute, Parkville, Australia
| | | | - V. A. A. Antonio
- Computational Systems Biology Laboratory, Nara Institute of Science and Technology, Ikoma-cho, Japan
| | - N. Ono
- Computational Systems Biology Laboratory, Nara Institute of Science and Technology, Ikoma-cho, Japan
| | | | - Z. Ahmed
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - M. Bolisetty
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - S. Zeeshan
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - E. Anguiano
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - D. Ucar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - A. Sarkar
- Laboratory of Genomics and Profiling Applications, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India
| | - M. R. Nandineni
- Laboratory of Genomics and Profiling Applications, Centre for DNA Fingerprinting and Diagnostics, Hyderabad, India
| | - C. Zeng
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - J. Shao
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - H. Cao
- BioNano Genomics, Inc, San Diego, CA USA
| | - A. Hastie
- BioNano Genomics, Inc, San Diego, CA USA
| | - A. W. Pang
- BioNano Genomics, Inc, San Diego, CA USA
| | - E. T. Lam
- BioNano Genomics, Inc, San Diego, CA USA
| | - T. Liang
- BioNano Genomics, Inc, San Diego, CA USA
| | - K. Pham
- BioNano Genomics, Inc, San Diego, CA USA
| | | | - Z. Dzakula
- BioNano Genomics, Inc, San Diego, CA USA
| | - Y. Chee-Wei
- Biotechnology Research Institute, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
| | - L. Dongsheng
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences Shanghai, Shanghai, China
| | - W. Lai-Ping
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - D. Lian
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences Shanghai, Shanghai, China
| | - R. O. Twee Hee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Y. Yunus
- Institute of Medical Molecular Biotechnology, Universiti Teknologi MARA, Sungai Buloh, ᅟ
| | - F. Aghakhanian
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Sunway Campus, Petaling Jaya, Malaysia
| | - S. S. Mokhtar
- Institute of Medical Molecular Biotechnology, Universiti Teknologi MARA, Sungai Buloh, ᅟ
| | - C. V. Lok-Yung
- Biotechnology Research Institute, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
| | - J. Bhak
- Personal Genomics Institute, Genome Research Foundation, Suwon, Republic Of Korea
| | - M. Phipps
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Sunway Campu, Petaling Jaya, Malaysia
| | - X. Shuhua
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences Shanghai, Shanghai, China
| | - T. Yik-Ying
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - V. Kumar
- Biotechnology Research Institute, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia
| | - H. Boon-Peng
- UCSI University, Kuala Lumpur, Kuala Lumpur, Malaysia
| | - I. Campbell
- Research Division, Peter Maccallum Cancer Centre, East Melbourne, Australia
| | - M. -A. Young
- Familial Cancer Centre, Peter Maccallum Cancer Centre, East Melbourne, Australia
| | - P. James
- Familial Cancer Centre, Peter Maccallum Cancer Centre, East Melbourne, Australia
| | | | - M. Rain
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - G. Mohammad
- Department of Medicine, Sonam Norbu Memorial Hospital, Leh, Ladakh India
| | - R. Kukreti
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Q. Pasha
- Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - A. R. Akilzhanova
- Nazarbayev University, National Laboratory Astana, Center for Life Sciences, Astana, Kazakhstan
| | - C. Guelly
- Center of Medical Research, Medical University of Graz, Graz, Austria
| | - Z. Abilova
- Nazarbayev University, National Laboratory Astana, Center for Life Sciences, Astana, Kazakhstan
| | - S. Rakhimova
- Nazarbayev University, National Laboratory Astana, Center for Life Sciences, Astana, Kazakhstan
| | - A. Akhmetova
- Nazarbayev University, National Laboratory Astana, Center for Life Sciences, Astana, Kazakhstan
| | - U. Kairov
- Nazarbayev University, National Laboratory Astana, Center for Life Sciences, Astana, Kazakhstan
| | - S. Trajanoski
- Center of Medical Research, Medical University of Graz, Graz, Austria
| | - Z. Zhumadilov
- Nazarbayev University, National Laboratory Astana, Center for Life Sciences, Astana, Kazakhstan
| | - M. Bekbossynova
- National Scientific Cardiac Surgery Center, Astana, Kazakhstan
| | | | - S. Sandhu
- Swift Biosciences Inc, Ann Arbor, MI USA
| | - T. Harkins
- Swift Biosciences Inc, Ann Arbor, MI USA
| | - V. Makarov
- Swift Biosciences Inc, Ann Arbor, MI USA
| | - H. Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - R. Glenn
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - Z. Momin
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - B. Dilrukshi
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - H. Chao
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - Q. Meng
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - B. Gudenkauf
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - R. Kshitij
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - J. Jayaseelan
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - C. Nessner
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - S. Lee
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - K. Blankenberg
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - L. Lewis
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - J. Hu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - Y. Han
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - H. Dinh
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - S. Jireh
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - K. Walker
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - E. Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - D. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - R. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - J. Hu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - K. Walker
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - C. Buhay
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - X. Liu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - Q. Wang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - R. Sanghvi
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - H. Doddapaneni
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - Y. Ding
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - N. Veeraraghavan
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - Y. Yang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - E. Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX USA
| | - A. L. Beaudet
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - C. M. Eng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - D. M. Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - R. A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - K. C. C. Worley
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - Y. Liu
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - D. S. T. Hughes
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - S. C. Murali
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - R. A. Harris
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - A. C. English
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - X. Qin
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - O. A. Hampton
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - P. Larsen
- Department of Biology, Duke University, Durham, NC USA
| | - C. Beck
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - Y. Han
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - M. Wang
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - H. Doddapaneni
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - C. L. Kovar
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - W. J. Salerno
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - A. Yoder
- Department of Biology, Duke University, Durham, NC USA
| | - S. Richards
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - J. Rogers
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - J. R. Lupski
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - D. M. Muzny
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - R. A. Gibbs
- Human Genome Sequencing Center, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
| | - Q. Meng
- HGSC, Baylor College of Medicine, Houston, TX USA
| | | | - M. Wang
- HGSC, Baylor College of Medicine, Houston, TX USA
| | | | - Y. Han
- HGSC, Baylor College of Medicine, Houston, TX USA
| | - D. Muzny
- HGSC, Baylor College of Medicine, Houston, TX USA
| | - R. Gibbs
- HGSC, Baylor College of Medicine, Houston, TX USA
| | - R. A. Harris
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - M. Raveenedran
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - C. Xue
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - M. Dahdouli
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - L. Cox
- Genetics, Southwest National Primate Research Center, San Antonio, TX USA
| | - G. Fan
- Human Genetics, Univeristy of California Los Angeles, Los Angeles, CA USA
| | - B. Ferguson
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR USA
| | - J. Hovarth
- Genomics & Microbiology Research Laboratory, NC Museum of Natural Sciences, Raleigh, NC USA
| | - Z. Johnson
- Yerkes Nonhuman Primate Genomics Core, Yerkes National Primate Research Center, Atlanta, GA USA
| | - S. Kanthaswamy
- Environmental Toxicology, California National Primate Research Center, Davis, CA USA
| | - M. Kubisch
- Physiology, Tulane National Primate Research Center, New Orleans, LO USA
| | - M. Platt
- Neuroscience, University of Pennsylvania, Philadelphia, PA USA
| | - D. Smith
- Anthropology, University of California Davis, Davis, CA USA
| | - E. Vallender
- Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS USA
| | - R. Wiseman
- Genetics, Wisconsin National Primate Research Center, Madison, WI USA
| | - X. Liu
- Epidemiology, Human Genetics & Environmental Sciences, ᅟ, ᅟ
| | - J. Below
- Epidemiology and Disease Control Human Genetics Center, University of Texas Health Science Center, Houston, TX USA
| | - D. Muzny
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - R. Gibbs
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - F. Yu
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - J. Rogers
- Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA
| | - J. Lin
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - Y. Zhang
- Department of Statistics, University of Connecticut, Storrs, CT USA
| | - Z. Ouyang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT USA
| | - A. Moore
- National Cancer Institute, Rockville, USA
| | - Z. Wang
- St. Jude Children’s Research Hospital, Memphis, USA
| | - J. Hofmann
- National Cancer Institute, NIH, DHHS, Rockville, USA
| | - M. Purdue
- National Cancer Institute, Rockville, USA
| | | | | | - D. Albanes
- National Cancer Institute, Rockville, USA
| | - C. S. Liu
- Changhua Christian Hospital, Changhua, Taiwan Province of China
| | - W. L. Cheng
- Changhua Christian Hospital, Changhua, Taiwan Province of China
| | - T. T. Lin
- Changhua Christian Hospital, Changhua, Taiwan Province of China
| | - Q. Lan
- National Cancer Institute, Rockville, USA
| | - N. Rothman
- National Cancer Institute, Rockville, USA
| | - S. Berndt
- National Cancer Institute, Rockville, USA
| | - E. S. Chen
- Biochemistry, National University of Singapore, Singapore, Singapore
| | - H. Bahrami
- Proteomics, Faraby Eye Hospital, Tehran, Iran Islamic Republic Of
- R & D, MIB Co., Tehran, Iran Islamic Republic Of
| | | | | | - H. Bahrami
- Proteomics, Faraby Eye Hospital, Tehran, Iran Islamic Republic Of
- R & D, MIB Co., Tehran, Iran Islamic Republic Of
| | | | | | - K. K. R. Alharbi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - M. Zhalbinova
- Laboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, ᅟ, Kazakhstan
| | - A. Akilzhanova
- Laboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, ᅟ, Kazakhstan
| | - S. Rakhimova
- Laboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, ᅟ, Kazakhstan
| | - M. Bekbosynova
- Cardiology, JSC “National Research Cardiac Surgery Center”, National medical holding, Astana, Kazakhstan
| | - S. Myrzakhmetova
- Cardiology, JSC “National Research Cardiac Surgery Center”, National medical holding, Astana, Kazakhstan
| | - M. Matar
- UAE Genetic Diseases Association, Dubai, United Arab Emirates
| | - N. Mili
- Research Center for Statistics, University of Geneva, Switzerland, Geneva Switzerland
| | - R. Molinari
- Research Center for Statistics, University of Geneva, Switzerland, Geneva Switzerland
| | - Y. Ma
- Department of Statistics, University of South Carolina, Columbia, USA
| | - S. Guerrier
- Department of Statistics, University of Illinois at Urbana Champaign, Champaign, USA
| | - N. Elhawary
- Department of Molecular Genetics, Medical Genetics Center, Ain Shams University, Cairo, Egypt
- Department of Medical Genetics, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - M. Tayeb
- Department of Medical Genetics, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - N. Bogari
- Department of Medical Genetics, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - N. Qotb
- Department of Psychology, Umm Al-Qura University, Faculty of Education, Mecca, Saudi Arabia
| | - S. A. McClymont
- Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, USA
| | - P. W. Hook
- Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, USA
| | - L. A. Goff
- Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, USA
| | - A. McCallion
- Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, USA
| | - Y. Kong
- The Jackson Laboratory, Bar Harbor, USA
- Graduate School of Biomedical Science and Engineering, University of Maine, Orono, USA
| | | | | | | | - L. Zhao
- The Jackson Laboratory, Bar Harbor, USA
| | - P. M. Nishina
- The Jackson Laboratory, Bar Harbor, USA
- Graduate School of Biomedical Science and Engineering, University of Maine, Orono, USA
| | - B. M. Edrees
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - M. Athar
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - F. A. Al-Allaf
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - M. M. Taher
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - W. Khan
- Department of Basic Sciences, College of Science and Health Professions, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - A. Bouazzaoui
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - N. A. Harbi
- Department of Pediatric, King Faisal Specialist Hospital and Research Centre, Jeddah, Saudi Arabia
| | - R. Safar
- Department of Pediatric, Madinah Maternity and Children’s Hospital, Madinah, Saudi Arabia
| | - H. Al-Edressi
- Department of Pediatric, Madinah Maternity and Children’s Hospital, Madinah, Saudi Arabia
| | - A. Anazi
- Pediatric, King Fahad Medical City, Riyadh, Saudi Arabia
| | - N. Altayeb
- Molecular Diagnostics Unit, Department of Laboratory and Blood Bank, King Abdullah Medical City, Makkah, Saudi Arabia
| | - M. A. Ahmed
- Medical Genetics, King Salman Armed Forces Hospital, Tabuk, Saudi Arabia
| | - K. Alansary
- Medical Genetics, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Z. Abduljaleel
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - A. Kratz
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - P. Beguin
- Brain Science Institute (BSI), Launey Research Unit, RIKEN Wako, Wako, Japan
| | - S. Poulain
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - M. Kaneko
- Brain Science Institute (BSI), Launey Research Unit, RIKEN Wako, Wako, Japan
| | - C. Takahiko
- Brain Science Institute (BSI), Launey Research Unit, RIKEN Wako, Wako, Japan
| | - A. Matsunaga
- Brain Science Institute (BSI), Launey Research Unit, RIKEN Wako, Wako, Japan
| | - S. Kato
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - A. M. Suzuki
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - N. Bertin
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - T. Lassmann
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - R. Vigot
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - P. Carninci
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - C. Plessy
- Center for Life Science Technologies, RIKEN Yokohama, Yokohama City, Kanagawa Japan
| | - T. Launey
- Brain Science Institute (BSI), Launey Research Unit, RIKEN Wako, Wako, Japan
| | - D. Graur
- Biology and Biochemistry, University of Houston, Houston, USA
| | - D. Lee
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - A. Kapoor
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - A. Chakravarti
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USA
| | - J. Friis-Nielsen
- Technical University of Denmark, Center for Biological Sequence Analysis, Lyngby, Denmark
| | - J. M. Izarzugaza
- Technical University of Denmark, Center for Biological Sequence Analysis, Lyngby, Denmark
| | - S. Brunak
- Technical University of Denmark, Center for Biological Sequence Analysis, Lyngby, Denmark
| | - A. Chakraborty
- Molecular Biology, Netaji Subhas Chandra Bose Cancer Research Institute, Kolkata, India
| | - J. Basak
- Molecular Biology, Netaji Subhas Chandra Bose Cancer Research Institute, Kolkata, India
| | - A. Mukhopadhyay
- Medical Oncology, Netaji Subhas Chandra Bose Cancer Research Institute, Kolkata, India
| | | | - D. Das
- National Institute of Biomedical Genomics, Kalyani, India
| | - N. Biswas
- National Institute of Biomedical Genomics, Kalyani, India
| | - S. Das
- National Institute of Biomedical Genomics, Kalyani, India
| | - S. Sarkar
- Chittaranjan National Cancer Institute, Kolkata, India
| | - A. Maitra
- National Institute of Biomedical Genomics, Kalyani, India
| | - C. Panda
- Chittaranjan National Cancer Institute, Kolkata, India
| | - P. Majumder
- National Institute of Biomedical Genomics, Kalyani, India
| | - H. Morsy
- Human Genetics, Faculty of Medicine, Alexandria, Egypt
| | - A. Gaballah
- Microbiology, Faculty of Medicine, Alexandria, Egypt
| | - M. Samir
- Clinical and Experimental Surgery, Faculty of Medicine, Alexandria, Egypt
| | - M. Shamseya
- Clinical and Experimental Internal Medicine, Medical Research Institute, Faculty of Medicine, Alexandria, Egypt
| | - H. Mahrous
- Human Genetics, Faculty of Medicine, Alexandria, Egypt
| | - A. Ghazal
- Microbiology, Faculty of Medicine, Alexandria, Egypt
| | - W. Arafat
- Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Alexandria, Egypt
| | - M. Hashish
- Human Genetics, Faculty of Medicine, Alexandria, Egypt
| | | | - N. Jaeger
- Genetics, Stanford University, Palo Alto, USA
| | - M. Snyder
- Genetics, Stanford University, Palo Alto, USA
| | | | | | - T. Davis
- New England Biolabs, Ipswich, USA
| | | | | | | | | | | | - K. Zhang
- Pathology, University of North Dakota, Grand Forks, USA
| | | | | | | | | | - N. Jäger
- Genetics, Stanford University, Palo Alto, USA
| | - J. Chen
- Genetics, Stanford University, Palo Alto, USA
| | - R. Haile
- Stanford Cancer Institute, Stanford University, Palo Alto, USA
| | - M. Hitchins
- Stanford Cancer Institute, Stanford University, Palo Alto, USA
| | | | - M. Snyder
- Genetics, Stanford University, Palo Alto, USA
| | - S. Jiménez-Morales
- Cancer Genomic Laboratory, National Institute of Genomic Medicine (INMEGEN), ᅟ, Mexico
| | - M. Ramírez
- Biología, FES -Iztacala, UNAM, ᅟ, Mexico
| | - J. Nuñez
- Hospital de Pediatría, CMN SXXI, IMSS, ᅟ, Mexico
| | - V. Bekker
- Investigación Médica en Inmunología, CMN La Raza, IMSS, ᅟ, Mexico
| | - Y. Leal
- Diagnóstico Molecular H1N1-Influenza , UMAE-IMSS, Mérida, Yucatán Mexico
| | - E. Jiménez
- Hematología Pediátrica, CMN La Raza, IMSS, ᅟ, Mexico
| | - A. Medina
- Hemato-Oncología, Hospital Infantil de México, ᅟ, Mexico
| | - A. Hidalgo
- Cancer Genomics Laboratory, INMEGEN, ᅟ, Mexico
| | - J. Mejía
- Coordinación de Investigación en Salud, IMSS, ᅟ, Mexico
| | - V. Halytskiy
- Molecular Immunology Department, Palladin Institute of Biochemistry of the National Academy of Sciences of Ukraine, Kiev, Ukraine
| | | | | | | | | | | | - K. Belhassa
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - K. Belhassan
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - L. Bouguenouch
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - I. Samri
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - H. Sayel
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - FZ. moufid
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - I. El Bouchikhi
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - S. Trhanint
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - H. Hamdaoui
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - I. Elotmani
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - I. Khtiri
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - O. Kettani
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - L. Quibibo
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - M. Ahagoud
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - M. Abbassi
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - K. Ouldim
- Department of Medical Genetics and Oncogene, Morocco; Medical Genetics, CHU Hassan II Fes, Fes, Morocco
| | - A. V. Marusin
- Evolutionary Genetics, Institute of Medical Genetics, ᅟ, Russian Federation
| | - A. N. Kornetov
- Siberian State Medical University, Tomsk, Russian Federation
| | - M. Swarovskaya
- Evolutionary Genetics, Institute of Medical Genetics, ᅟ, Russian Federation
| | - K. Vagaiceva
- Evolutionary Genetics, Institute of Medical Genetics, ᅟ, Russian Federation
| | - V. Stepanov
- Evolutionary Genetics, Institute of Medical Genetics, ᅟ, Russian Federation
| | - E. M. Cutiongco De La Paz
- National Institutes of Health, University of the Philippines, Manila, Philippines
- Philippine Genome Center, University of the Philippines, Quezon City, Philippines
| | - R. Sy
- College of Medicine, University of the Philippines, Manila, Philippines
| | - J. Nevado
- National Institutes of Health, University of the Philippines, Manila, Philippines
| | - P. Reganit
- College of Medicine, University of the Philippines, Manila, Philippines
| | - L. Santos
- College of Medicine, University of the Philippines, Manila, Philippines
| | - J. D. Magno
- College of Medicine, University of the Philippines, Manila, Philippines
| | - F. E. Punzalan
- College of Medicine, University of the Philippines, Manila, Philippines
| | - D. Ona
- College of Medicine, University of the Philippines, Manila, Philippines
| | - E. Llanes
- College of Medicine, University of the Philippines, Manila, Philippines
| | - R. L. Santos-Cortes
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX United States
| | - R. Tiongco
- College of Medicine, University of the Philippines, Manila, Philippines
| | - J. Aherrera
- Philippine General Hospital, University of the Philippines, Manila, Philippines
| | - L. Abrahan
- Philippine General Hospital, University of the Philippines, Manila, Philippines
| | - P. Pagauitan-Alan
- Philippine General Hospital, University of the Philippines, Manila, Philippines
| | | | - K. H. Morelli
- The Jackson Laboratory, Bar Harbor, USA
- Graduate School of Biomedical Sciences & Engineering, The University of Maine, Orono, USA
| | - J. S. Domire
- Center For Gene Therapy, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio USA
| | - N. Pyne
- Center For Gene Therapy, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio USA
| | - S. Harper
- Center For Gene Therapy, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio USA
| | - R. Burgess
- Graduate School of Biomedical Sciences & Engineering, The University of Maine, Orono, USA
| | - M. Zhalbinova
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, ᅟ, Kazakhstan
| | - A. Akilzhanova
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, ᅟ, Kazakhstan
| | - S. Rakhimova
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, ᅟ, Kazakhstan
| | - M. Bekbosynova
- Cardiology, JSC “National Research Cardiac Surgery Center”, National Medical Holding, Astana, Kazakhstan
| | - S. Myrzakhmetova
- Cardiology, JSC “National Research Cardiac Surgery Center”, National Medical Holding, Astana, Kazakhstan
| | - M. A. Gari
- Medical Laboratory Technology, ᅟ, Saudi Arabia
| | - A. Dallol
- Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - H. Alsehli
- Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - A. Gari
- Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - M. Gari
- Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - A. Abuzenadah
- Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - M. Thomas
- Advanced Molecular Diagnostics Laboratory, ᅟ, Canada
| | - M. Sukhai
- Advanced Molecular Diagnostics Laboratory, ᅟ, Canada
| | - S. Garg
- Advanced Molecular Diagnostics Laboratory, ᅟ, Canada
| | - M. Misyura
- Advanced Molecular Diagnostics Laboratory, ᅟ, Canada
| | - T. Zhang
- Advanced Molecular Diagnostics Laboratory, ᅟ, Canada
| | - A. Schuh
- Princess Margaret Cancer Centre, Toronto, Canada
| | - T. Stockley
- Advanced Molecular Diagnostics Laboratory, ᅟ, Canada
| | - S. Kamel-Reid
- Advanced Molecular Diagnostics Laboratory, ᅟ, Canada
| | | | | | | | | | | | | | | | | | | | - C. Xiao
- National Institutes of Health, Bethesda, USA
| | | | - S. Sherry
- National Institutes of Health, Bethesda, USA
| | - C. Rangel-Escareño
- Computational Genomics, National Institute of Genomic Medicine, Mexico City, Mexico
| | - H. Rueda-Zarate
- Computational Genomics, National Institute of Genomic Medicine, Mexico City, Mexico
| | - I. A. Tayubi
- Computer Science, Faculty of Computing and Information Technology, King AbdulAziz University, Rabigh, Saudi Arabia
| | - R. Mohammed
- Computer Science, Faculty of Computing and Information Technology, King AbdulAziz University, Rabigh, Saudi Arabia
| | | | - I. Ahmed
- Computer Science, Faculty of Computing and Information Technology, King AbdulAziz University, Rabigh, Saudi Arabia
| | - T. Ahmed
- Computer Science, Faculty of Computing and Information Technology, King AbdulAziz University, Rabigh, Saudi Arabia
| | - S. Seth
- Institute of Applied Cancer Science, ᅟ, USA
| | - S. Amin
- Genomic Medicine, University of Texas, ᅟ, ᅟ
| | - X. Song
- Institute of Applied Cancer Science, ᅟ, USA
| | - X. Mao
- Genomic Medicine, University of Texas, ᅟ, ᅟ
| | - H. Sun
- MD Anderson Cancer Center, Houston, USA
| | | | - A. Futreal
- Genomic Medicine, University of Texas, ᅟ, ᅟ
| | - J. Zhang
- Institute of Applied Cancer Science, ᅟ, USA
| | - S. J. Whiite
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - T. Chiang
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - A. English
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - J. Farek
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - Z. Kahn
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - W. Salerno
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - N. Veeraraghavan
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - E. Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, USA
| | - R. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, ᅟ, USA
| | - T. Kasukawa
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
| | - M. Lizio
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
| | - J. Harshbarger
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
| | - S. Hisashi
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
- Preventive Medicine and Diagnosis Innovation Program, RIKEN, Wako, Japan
| | - J. Severin
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
| | - A. Imad
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
| | - S. Sahin
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
| | - T. C. Freeman
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
| | - K. Baillie
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
| | - A. Sandelin
- Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark
| | - P. Carninci
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
| | | | - H. Kawaji
- Center for Life Science Technologies, RIKEN, Yokohama, Japan
- Preventive Medicine and Diagnosis Innovation Program, RIKEN, Wako, Japan
- Advanced Center for Computing and Communication, RIKEN, Yokohama, Japan
| | | | - W. Salerno
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas USA
| | - A. English
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas USA
| | | | | | | | - E. Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas USA
- Human Genetics Center and Department of Epidemiology, UT School of Public Health, Houston, Texas USA
| | - R. A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas USA
| | - A. H. Salem
- Anatomy, Arabian Gulf University, Manama, Bahrain
| | - M. Ali
- Biochemistry, Arabian Gulf University, Manama, Bahrain
| | - A. Ibrahim
- Central Laboratory, Ministry of Science and Technology, ᅟ, Sudan
| | - M. Ibrahim
- College of Animal Production Science and Technology, Sudan University of Science and Technology, Khartoum, Sudan
| | - H. A. Barrera
- Bioquimica y Medicina Molecular, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - L. Garza
- Bioquimica y Medicina Molecular, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - J. A. Torres
- Bioquimica y Medicina Molecular, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - V. Barajas
- Bioquimica y Medicina Molecular, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | | | - D. Kershenobich
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Shahroj Mortaji
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Pedro Guizar
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Eliezer Loera
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Karen Moreno
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Adriana De León
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Daniela Monsiváis
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Jackeline Gómez
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | - Raquel Cardiel
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Distrito Federal, Mexico
| | | | - V. Bonifaz-Peña
- Computational Genomics, Nacional de Medicina Genomica, Mexico City, Mexico
| | - C. Rangel-Escareño
- Computational Genomics, Nacional de Medicina Genomica, Mexico City, Mexico
| | - A. Hidalgo-Miranda
- Cancer Genomics Laboratory, Nacional de Medicina Genomica, Mexico City, Mexico
| | - A. V. Contreras
- Nutrigenetics and Nutrigenomics Laboratory, Instituto Nacional de Medicina Genomica, Mexico City, Mexico
| | - L. Polfus
- Human Genetics Center, University of Texas Health Science Center, Houston, USA
| | | | - X. Wang
- System Genetics, The Jackson Laboratory, Bar Harbor, USA
| | - V. Philip
- System Genetics, The Jackson Laboratory, Bar Harbor, USA
| | - G. Carter
- System Genetics, The Jackson Laboratory, Bar Harbor, USA
| | - A. A. Abuzenadah
- Center of Innovation in Personalized Medicine, Faculty of Applied Medical Sciences, King Abdulaziz University, ᅟ, Saudi Arabia
| | - M. Gari
- Center of Innovation in Personalized Medicine, Faculty of Applied Medical Sciences, King Abdulaziz University, ᅟ, Saudi Arabia
| | - R. Turki
- Ob/Gyn, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - A. Dallol
- Center of Innovation in Personalized Medicine, Faculty of Applied Medical Sciences, King Abdulaziz University, ᅟ, Saudi Arabia
| | - A. Uyar
- The Jackson Laboratory for Genomic Medicine, Farmington, USA
| | - A. Kaygun
- Department of Mathematical Engineering, Istanbul Technical University, Istanbul, Turkey
| | - S. Zaman
- Department of Biomedical Engineering, University of Connecticut, Storrs, USA
| | - E. Marquez
- The Jackson Laboratory for Genomic Medicine, Farmington, USA
| | - J. George
- The Jackson Laboratory for Genomic Medicine, Farmington, USA
| | - D. Ucar
- The Jackson Laboratory for Genomic Medicine, Farmington, USA
| | | | | | | | | | | | - T. Davis
- New England Biolabs, Ipswich, USA
| | | | | | - D. B. Starr
- Genetics, Stanford University, Stanford, USA
| | - M. Baird
- DNA Diagnostics Center, Fairfield, USA
| | | | - K. Sheets
- Vibrant Gene Consulting, Cambridge, USA
| | - R. Nitsche
- Agilent Technologies, Agilent Technologies, Waldbronn, Germany
| | - L. Prieto-Lafuente
- Agilent Technologies UK Ltd, Agilent Technologies UK Ltd., Edinburgh, UK
| | | | - J. Lee
- NIH/NLM/NCBI, Bethesda, USA
| | | | | | - P. K. R. Thavanati
- Institute of Human Genetics, Department of Molecular Biology & Genomics, Centre for Health Sciences, ᅟ, Mexico
| | - A. Escoto de Dios
- Institute of Human Genetics, Department of Molecular Biology & Genomics, Centre for Health Sciences, ᅟ, Mexico
| | | | | | - M. R. Ruiz Mejia
- Biochemistry, Centre for Health Sciences, University of Guadalajara, Guadalajara, Mexico
| | - K. R. R. Kanala
- Human Genetics Unit, Department Anthropology, Sri Venkateswara University, Tirupati, India
| | - Z. Abduljaleel
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - W. Khan
- Department of Basic Sciences, College of Science and Health Professions, King Saud Bin Abdul Aziz University for Health Sciences, Riyadh, Saudi Arabia
| | - F. A. Al-Allaf
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - M. Athar
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - M. M. Taher
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - N. Shahzad
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - A. Bouazzaoui
- Science and Technology Unit, Umm Al Qura University, Mecca, Saudi Arabia
- Department of Medical Genetics, Umm Al Qura University, Mecca, Saudi Arabia
- Medical Clinic 3 – Hematology/Oncology, University Hospital Regensburg, Regensburg, Germany
| | - E. Huber
- Department of Pathology, University Hospital Regensburg, Regensburg, Germany
| | - A. Dan
- IgNova GmbH, Oberursel, Germany
| | - F. A. Al-Allaf
- Science and Technology Unit, Umm Al Qura University, Mecca, Saudi Arabia
- Department of Medical Genetics Faculty of Medicine, Umm Al Qura University, Mecca, Saudi Arabia
| | - W. Herr
- Medical Clinic 3 – Hematology/Oncology, University Hospital Regensburg, Regensburg, Germany
| | - G. Sprotte
- Department of Ansethesiologie, University of Würzburg Medical School, Würzburg, Germany
| | - J. Köstler
- Department of microbiology, University Hospital Regensburg, Regensburg, Germany
| | - A. Hiergeist
- Department of microbiology, University Hospital Regensburg, Regensburg, Germany
| | - A. Gessner
- Department of microbiology, University Hospital Regensburg, Regensburg, Germany
| | - R. Andreesen
- Medical Clinic 3 – Hematology/Oncology, University Hospital Regensburg, Regensburg, Germany
| | - E. Holler
- Medical Clinic 3 – Hematology/Oncology, University Hospital Regensburg, Regensburg, Germany
| | - F. Al-Allaf
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, ᅟ, Saudi Arabia
- Science and Technology Unit, Umm Al-Qura University, ᅟ, Saudi Arabia
- Molecular Diagnostics Unit, Department of Laboratory and Blood Bank, King Abdullah Medical City, Makkah, Saudi Arabia
| | - A. Alashwal
- King Faisal Specialist Hospital and Research Centre, ᅟ, Saudi Arabia
| | - Z. Abduljaleel
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, ᅟ, Saudi Arabia
- Science and Technology Unit, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - M. Taher
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, ᅟ, Saudi Arabia
- Science and Technology Unit, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - A. Bouazzaoui
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, ᅟ, Saudi Arabia
- Science and Technology Unit, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - H. Abalkhail
- King Faisal Specialist Hospital and Research Centre, ᅟ, Saudi Arabia
| | - A. Al-Allaf
- Faculty of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - R. Bamardadh
- Science and Technology Unit, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - M. Athar
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, ᅟ, Saudi Arabia
- Science and Technology Unit, Umm Al-Qura University, ᅟ, Saudi Arabia
| | - O. Filiptsova
- Biology, National University of Pharmacy, Kharkiv, Ukraine
| | - M. Kobets
- Pharmaceutical Marketing and Management, National University of Pharmacy, Kharkiv, Ukraine
| | - Y. Kobets
- Pharmaceutical Marketing and Management, National University of Pharmacy, Kharkiv, Ukraine
| | - I. Burlaka
- Biology, National University of Pharmacy, Kharkiv, Ukraine
| | - I. Timoshyna
- Human Physiology and Anatomy, National University of Pharmacy, Kharkiv, Ukraine
| | - O. Filiptsova
- Biology, National University of Pharmacy, Kharkiv, Ukraine
| | - M. N. Kobets
- Pharmaceutical Marketing and Management, National University of Pharmacy, Kharkiv, Ukraine
| | - Y. Kobets
- Pharmaceutical Marketing and Management, National University of Pharmacy, Kharkiv, Ukraine
| | - I. Burlaka
- Biology, National University of Pharmacy, Kharkiv, Ukraine
| | - I. Timoshyna
- Human Physiology and Anatomy, National University of Pharmacy, Kharkiv, Ukraine
| | - O. Filiptsova
- Biology, National University of Pharmacy, Kharkiv, Ukraine
| | - M. N. Kobets
- Pharmaceutical Marketing and Management, National University of Pharmacy, Kharkiv, Ukraine
| | - Y. Kobets
- Pharmaceutical Marketing and Management, National University of Pharmacy, Kharkiv, Ukraine
| | - I. Burlaka
- Biology, National University of Pharmacy, Kharkiv, Ukraine
| | - I. Timoshyna
- Human Physiology and Anatomy, National University of Pharmacy, Kharkiv, Ukraine
| | - F. A. Al-allaf
- Department of Medical Genetics Faculty of Medicine, Umm Al Qura University, Mecca, Saudi Arabia
- Science and Technology Unit, Umm Al Qura University, Mecca, Saudi Arabia
- Molecular Diagnostics Unit Department of Laboratory Medicine and Blood Bank, King Abdullah Medical City, ᅟ, Saudi Arabia
| | - M. T. Mohiuddin
- Department of Medical Genetics Faculty of Medicine, Umm Al Qura University, Mecca, Saudi Arabia
- Science and Technology Unit, Umm Al Qura University, Mecca, Saudi Arabia
| | - A. Zainularifeen
- Department of Medical Genetics Faculty of Medicine, Umm Al Qura University, Mecca, Saudi Arabia
- Science and Technology Unit, Umm Al Qura University, Mecca, Saudi Arabia
| | - A. Mohammed
- Department of Medical Genetics Faculty of Medicine, Umm Al Qura University, Mecca, Saudi Arabia
- Science and Technology Unit, Umm Al Qura University, Mecca, Saudi Arabia
| | - H. Abalkhail
- Pathology and Laboratory Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - T. Owaidah
- Pathology and Laboratory Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - A. Bouazzaoui
- Department of Medical Genetics Faculty of Medicine, Umm Al Qura University, Mecca, Saudi Arabia
- Science and Technology Unit, Umm Al Qura University, Mecca, Saudi Arabia
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