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BMC Proceedings

M Larissa Avilés-Santa, John Heintzman, Nangel M Lindberg, Rafael Guerrero-Preston, Kenneth Ramos, Ana L Abraído-Lanza, Jonca Bull, Adolph Falcón, Mary Ann McBurnie, Ernest Moy, George Papanicolaou, Ileana L Piña, Jennifer Popovic, Shakira F Suglia, Miguel A Vázquez
Persons of Hispanic/Latino descent may represent different ancestries, ethnic and cultural groups and countries of birth. In the U.S., the Hispanic/Latino population is projected to constitute 29% of the population by 2060. A personalized approach focusing on individual variability in genetics, environment, lifestyle and socioeconomic determinants of health may advance the understanding of some of the major factors contributing to the health disparities experienced by Hispanics/Latinos and other groups in the U...
2017: BMC Proceedings
Celso Khosa, Krutarth Patel, Karlygash Abdiyeva, Nurkeldi Turebekov, Bettina Prüller, Norbert Heinrich
The 5th CIH(LMU) Infectious Disease Symposium, Munich, Germany, March 12, 2016 brought together Tuberculosis Experts from developed and low middle-income countries to discuss the control of drug resistance Tuberculosis. The meeting featured 9 presentations: Tuberculosis history and current scenario, Tuberculosis and migration - current scenario in Germany, Mechanism of Tuberculosis resistance development, Epidemiology of resistance - transmission vs. new generation of resistance, The impact of diagnostic in patients beyond - sensitivity and specificity, The Bangladesh regimen - new hope trough old drugs, New drugs and regimens - an overview on studies and Multi and Extensively Drug Resistant Tuberculosis from Europe...
2017: BMC Proceedings
Aline Munier, Berthe-Marie Njanpop-Lafourcade, Delphine Sauvageot, Raymond B Mhlanga, Léonard Heyerdahl, Johara Nadri, Richard Wood, Issaka Ouedraogo, Alexandre Blake, Laurent Akilimali Mukelenge, Jean-Claude B Anné, Abiba Banla Kere, Lucienne Dempouo, Sakoba Keita, José P M Langa, Issa Makumbi, Elibariki R Mwakapeje, Ian J Njeru, Olubunmi E Ojo, Isaac Phiri, Lorenzo Pezzoli, Bradford D Gessner, Martin Mengel
The fifth annual meeting of the African cholera surveillance network (Africhol) took place on 10-11 June 2015 in Lomé, Togo. Together with international partners, representatives from the 11 member countries -Cameroon, Côte d'Ivoire, Democratic Republic of Congo, Guinea, Kenya, Mozambique, Nigeria, Tanzania, Togo, Uganda, Zimbabwe- and an invited country (Malawi) shared their experience. The meeting featured three sessions: i) cholera surveillance, prevention and control in participating countries, ii) cholera surveillance methodology, such as cholera mapping, cost-effectiveness studies and the issue of overlapping epidemics from different diseases, iii) cholera laboratory diagnostics tools and capacity building...
2017: BMC Proceedings
Valorie A Crooks, Meghann Ormond, Ki Nam Jin
In October 2016, the Global Healthcare Policy and Management Forum was held at Yonsei University, Seoul, South Korea. The goal of the forum was to discuss the role of the state in regulating and supporting the development of medical tourism. Forum attendees came from 10 countries. In this short report article, we identify key lessons from the forum that can inform the direction of future scholarly engagement with medical tourism. In so doing, we reference on-going scholarly debates about this global health services practice that have appeared in multiple venues, including this very journal...
2017: BMC Proceedings
Kieran Michael Moore, Nicholas Papadomanolakis-Pakis, Adrienne Hansen-Taugher, Tianxiu H Guan, Brian Schwartz, Paula Stewart, Pamela Leece, Richard Bochenek
Given the steady rise of overdose morbidity and mortality in North America, and increasing frequency of sudden clusters of non-fatal and fatal overdoses in other jurisdictions, regional preparedness plans to respond effectively to clusters of overdoses may reduce the impact of such events on the population. On the 27th of February 2017 in Kingston, Ontario, KFL&A Public Health, in collaboration with public health partners, hosted a full-day workshop involving table-top exercises and discussions for service partners on how to prepare for, respond to, and manage a mass-casualty event secondary to opioid overdose in Southeastern Ontario...
2017: BMC Proceedings
Jim Sanders, Hilary Chavez, S Michele Cohen, Mary Enright, Mary Flynn, Tifany Frazer, Kelly Hoormann, Ben Rader, Sebastian Ssempijja, Samantha L Wilson
No abstract text is available yet for this article.
2017: BMC Proceedings
Mitra Saadatian-Elahi, David Bloom, Stanley Plotkin, Valentina Picot, Jacques Louis, Michael Watson
BACKGROUND: Vaccination is a complex ecosystem with several components that interact with one another and with the environment. Today's vaccine ecosystem is defined by the pursuit of polio eradication, the drive to get as many of the new vaccines to as many people as possible and the research and development against immunologically challenging diseases. Despite these successes, vaccine ecosystem is facing keys issues with regard to supply/distribution and cost/profitability asymmetry that risk slowing its global growth...
2017: BMC Proceedings
Florian Hammerle, Arne Bürger, Michael Kaess, David R Kolar
Over the past 30 years, dialectical behavior therapy has been shown to be an effective treatment for adult borderline personality disorder. The adaptation of DBT for adolescents (DBT-A) in different patient groups has also led to some promising improvements of the respective psychopathology. During the second German DBT-A network meeting in 2015 in Mainz, Germany, a need for further research and innovative approaches in treatment of adolescents became apparent and resulted in controversial discussions. Main issues were enlarging evidence of effectiveness of DBT-A strategies with regard to family interaction, i...
2016: BMC Proceedings
Bruna Rubbo, Laura Behan, Eleonora Dehlink, Myrofora Goutaki, Claire Hogg, Panayiotis Kouis, Claudia E Kuehni, Philipp Latzin, Kim Nielsen, Dominic Norris, Sylvia Nyilas, Mareike Price, Jane S Lucas
Primary ciliary dyskinesia (PCD) is a rare heterogenous condition that causes progressive suppurative lung disease, chronic rhinosinusitis, chronic otitis media, infertility and abnormal situs. 'Better Experimental Approaches to Treat Primary Ciliary Dyskinesia' (BEAT-PCD) is a network of scientists and clinicians coordinating research from basic science through to clinical care with the intention of developing treatments and diagnostics that lead to improved long-term outcomes for patients. BEAT-PCD activities are supported by EU Framework Programme Horizon 2020 funded COST Action (BM1407)...
2016: BMC Proceedings
T Kue Young, Susan Chatwood, James Ford, Gwen Healey, Michael Jong, Josée Lavoie, Mason White
An international conference titled "Transforming Health Care in Remote Communities" was held at the Chateau Lacombe Hotel in Edmonton, Canada, April 28-30, 2016. The event was organized by the University of Alberta's School of Public Health, in partnership with the Institute for Circumpolar Health Research in Yellowknife, Northwest Territories, and the Qaujigiartiit Health Research Centre in Iqaluit, Nunavut. There were 150 registrants from 7 countries: Canada (7 provinces and 3 territories), United States, Denmark, Iceland, Norway, Sweden, and Australia...
2016: BMC Proceedings
Michael G Head, Rebecca J Brown
The Research Investments in Global Health (ResIn, study analyses funding trends in health research, with a predominant focus on infectious diseases. Since October 2015, the project is funded by the Bill & Melinda Gates Foundation and is now based at the University of Southampton in the UK. In 2016, Public Policy@Southampton provided ResIn with a small grant to explore developing links with policy, funding and research stakeholders with an interest in global health. Three meetings were organised in London (Wellcome Trust, 25 May 2016), Brussels (UK Research Office, 2 June 2016), and Geneva (WHO R&D Observatory, 8 June 2016)...
2016: BMC Proceedings
Chi Wang, Jinpeng Liu, David W Fardo
Estimating the causal effect of a single nucleotide variant (SNV) on clinical phenotypes is of interest in many genetic studies. The effect estimation may be confounded by other SNVs as a result of linkage disequilibrium as well as demographic and clinical characteristics. Because a large number of these other variables, which we call potential confounders, are collected, it is challenging to select and adjust for the variables that truly confound the causal effect. The Bayesian adjustment for confounding (BAC) method has been proposed as a general method to estimate the average causal effect in the presence of a large number of potential confounders under the assumption of no unmeasured confounders...
2016: BMC Proceedings
Katherine L Thompson, David W Fardo
A central goal in the biomedical and biological sciences is to link variation in quantitative traits to locations along the genome (single nucleotide polymorphisms). Sequencing technology has rapidly advanced in recent decades, along with the statistical methodology to analyze genetic data. Two classes of association mapping methods exist: those that account for the evolutionary relatedness among individuals, and those that ignore the evolutionary relationships among individuals. While the former methods more fully use implicit information in the data, the latter methods are more flexible in the types of data they can handle...
2016: BMC Proceedings
Rosa González Silos, Özge Karadag, Barbara Peil, Christine Fischer, Maria Kabisch, Carine Legrand, Justo Lorenzo Bermejo
The relationship between genetic variability and individual phenotypes is usually investigated by testing for association relying on called genotypes. Allele counts obtained from next-generation sequence data could be used for this purpose too. Genetic association can be examined by treating alternative allele counts (AACs) as the response variable in negative binomial regression. AACs from sequence data often contain an excess of zeros, thus motivating the use of Hurdle and zero-inflated models. Here we examine rough type I error rates and the ability to pick out variants with small probability values for 7 different testing approaches that incorporate AACs as an explanatory or as a response variable...
2016: BMC Proceedings
Ji-Hyung Shin, Ruiyang Yi, Shelley B Bull
Availability of genomic sequence data provides opportunities to study the role of low-frequency and rare variants in the etiology of complex disease. In this study, we conduct association analyses of hypertension status in the cohort of 1943 unrelated Mexican Americans provided by Genetic Analysis Workshop 19, focusing on exonic variants in MAP4 on chromosome 3. Our primary interest is to compare the performance of standard and sparse-data approaches for single-variant tests and variant-collapsing tests for sets of rare and low-frequency variants...
2016: BMC Proceedings
Tae-Hwi Schwantes-An, Heejong Sung, Jeremy A Sabourin, Cristina M Justice, Alexa J M Sorant, Alexander F Wilson
In this study, the effects of (a) the minor allele frequency of the single nucleotide variant (SNV), (b) the degree of departure from normality of the trait, and (c) the position of the SNVs on type I error rates were investigated in the Genetic Analysis Workshop (GAW) 19 whole exome sequence data. To test the distribution of the type I error rate, 5 simulated traits were considered: standard normal and gamma distributed traits; 2 transformed versions of the gamma trait (log10 and rank-based inverse normal transformations); and trait Q1 provided by GAW 19...
2016: BMC Proceedings
Cheongeun Oh
BACKGROUND: Recent advances in next-generation sequencing technologies have made it possible to generate large amounts of sequence data with rare variants in a cost-effective way. Yet, the statistical aspect of testing disease association of rare variants is quite challenging as the typical assumptions fail to hold owing to low minor allele frequency (<0.5 or 1 %). METHODS: I present a Bayesian variable selection approach to detect associations with both rare and common genetic variants for quantitative traits simultaneously...
2016: BMC Proceedings
Lindsay Fernández-Rhodes, Chani J Hodonsky, Mariaelisa Graff, Shelly-Ann M Love, Annie Green Howard, Amanda A Seyerle, Christy L Avery, Geetha Chittoor, Nora Franceschini, V Saroja Voruganti, Kristin Young, Jeffrey R O'Connell, Kari E North, Anne E Justice
BACKGROUND: Nearly half of adults in the United States who are diagnosed with hypertension use blood-pressure-lowering medications. Yet there is a large interindividual variability in the response to these medications. Two complementary gene-environment interaction methods have been published and incorporated into publicly available software packages to examine interaction effects, including whether genetic variants modify the association between medication use and blood pressure. The first approach uses a gene-environment interaction term to measure the change in outcome when both the genetic marker and medication are present (the "interaction model")...
2016: BMC Proceedings
Ananda S Datta, Yuan Zhang, Lei Zhang, Swati Biswas
Several variants have been implicated earlier on ULK4 and MAP4 genes on chromosome 3 to be associated with hypertension. As a natural follow-up step, we explore association of haplotypes in those genes. We consider the Genetic Analysis Workshop 19 real data on unrelated individuals and analyze haplotype blocks of 5 single-nucleotide polymorphisms through a sliding window approach. We apply 4 haplotype association methods-haplo.score, haplo.glm, hapassoc, and logistic Bayesian LASSO (LBL)-and for comparison, sequence kernel association test (SKAT) and its variants...
2016: BMC Proceedings
Elizabeth M Blue, Lisa A Brown, Matthew P Conomos, Jennifer L Kirk, Alejandro Q Nato, Alice B Popejoy, Jesse Raffa, John Ranola, Ellen M Wijsman, Timothy Thornton
BACKGROUND: Estimating relationships among subjects in a sample, within family structures or caused by population substructure, is complicated in admixed populations. Inaccurate allele frequencies can bias both kinship estimates and tests for association between subjects and a phenotype. We analyzed the simulated and real family data from Genetic Analysis Workshop 19, and were aware of the simulation model. RESULTS: We found that kinship estimation is more accurate when marker data include common variants whose frequencies are less variable across populations...
2016: BMC Proceedings
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