NN/LM NER Healthy Community, Community of Interest Final Report (May 1, 2011 - April 30, 2013)

The NN/LM New England Region’s Communities of Interest (COI) foster emerging roles for librarians in dynamic themes in the provision of health information. Members of Communities of Interests share ideas, knowledge, and experiences to help each other improve their library’s services. The Communities of Interest focus on six themes: eScience, Healthcare Workforce, Health Literacy, Healthy Communities, HealthIT, and Knowledge Management. These themes were identified by the NN/LM New England Region at a Town Hall Meeting as priorities for professional development and collaboration. The Communities of Interest host e-learning programs to keep Network Members up-to-date with trends in the profession. The Healthy Communities COI explores issues related to health information and education outreach to the public in general as well as underserved populations. Topics include planning, implementing, and evaluating community outreach activities, communicating health information to patients and the public, and contributing to your institution to provide community benefit. The COI’s are facilitated by NER staff and led by a Network Member. The Healthy Communities COI is facilitated by Michelle Eberle, Consumer Health Information Coordinator, and led by Deborah Clark, Librarian at Stephens Memorial Hospital. Deborah served as the Leader for Year One and Two. This report summarizes activities from the Community of Interest\u27s first two year

Libraries in New England Working to Develop Healthy Communities and Increase Health Literacy

The National Network of Libraries of Medicine, New England Region, created Communities of Interests (COIs) for our network members to come together to learn more about health literacy and be a part of cultivating healthy communities. Each Community of Interest offers an e-newsletter and hosts webinars with presentations by experts in health literacy and creating healthy communities. Topics for programs this year included: 10 Easy Ways You Can Contribute to Health Literacy; How to Contribute to Community Benefit at Your Hospital; a MedlinePlus.gov Train-the-Trainer; Clever Evaluation; and a program day on Health Information Equity. Each COI conducted needs assessment at the beginning of the year. An assessment will be conducted at the end of the first year to identify: knowledge gained; how the new information was put into action; and new educational needs. NN/LM NER Community of Interests create a powerful way to bring librarians together who are interested to increase health literacy and contribute to healthy communities

Allele Frequency Matching Between SNPs Reveals an Excess of Linkage Disequilibrium in Genic Regions of the Human Genome

Significant interest has emerged in mapping genetic susceptibility for complex traits through whole-genome association studies. These studies rely on the extent of association, i.e., linkage disequilibrium (LD), between single nucleotide polymorphisms (SNPs) across the human genome. LD describes the nonrandom association between SNP pairs and can be used as a metric when designing maximally informative panels of SNPs for association studies in human populations. Using data from the 1.58 million SNPs genotyped by Perlegen, we explored the allele frequency dependence of the LD statistic r (2) both empirically and theoretically. We show that average r (2) values between SNPs unmatched for allele frequency are always limited to much less than 1 (theoretical [Image: see text] approximately 0.46 to 0.57 for this dataset). Frequency matching of SNP pairs provides a more sensitive measure for assessing the average decay of LD and generates average r (2) values across nearly the entire informative range (from 0 to 0.89 through 0.95). Additionally, we analyzed the extent of perfect LD (r (2) = 1.0) using frequency-matched SNPs and found significant differences in the extent of LD in genic regions versus intergenic regions. The SNP pairs exhibiting perfect LD showed a significant bias for derived, nonancestral alleles, providing evidence for positive natural selection in the human genome

How COVID-19 changed clinical research strategies: a global survey

Objective Clinical research has faced new challenges during the COVID-19 pandemic, leading to excessive operational demands affecting all stakeholders. We evaluated the impact of COVID-19 on clinical research strategies and compared different adaptations by regulatory bodies and academic research institutions in a global context, exploring what can be learned for possible future pandemics. Methods We conducted a cross-sectional online survey and identified and assessed different COVID-19-specific adaptation strategies used by academic research institutions and regulatory bodies. Results All 19 participating academic research institutions developed and followed similar strategies, including preventive measures, manpower recruitment, and prioritisation of COVID-19 projects. In contrast, measures for centralised management or coordination of COVID-19 projects, project preselection, and funding were handled differently amongst institutions. Regulatory bodies responded similarly to the pandemic by implementing fast-track authorisation procedures for COVID-19 projects and developing guidance documents. Quality and consistency of the information and advice provided was rated differently amongst institutions. Conclusion Both academic research institutions and regulatory bodies worldwide were able to cope with challenges during the COVID-19 pandemic by developing similar strategies. We identified some unique approaches to ensure fast and efficient responses to a pandemic. Ethical concerns should be addressed in any new decision-making process

Allele frequency matching between SNPs reveals an excess of linkage disequilibrium in genic regions of the human genome.

Significant interest has emerged in mapping genetic susceptibility for complex traits through whole-genome association studies. These studies rely on the extent of association, i.e., linkage disequilibrium (LD), between single nucleotide polymorphisms (SNPs) across the human genome. LD describes the nonrandom association between SNP pairs and can be used as a metric when designing maximally informative panels of SNPs for association studies in human populations. Using data from the 1.58 million SNPs genotyped by Perlegen, we explored the allele frequency dependence of the LD statistic r(2) both empirically and theoretically. We show that average r(2) values between SNPs unmatched for allele frequency are always limited to much less than 1 (theoretical approximately 0.46 to 0.57 for this dataset). Frequency matching of SNP pairs provides a more sensitive measure for assessing the average decay of LD and generates average r(2) values across nearly the entire informative range (from 0 to 0.89 through 0.95). Additionally, we analyzed the extent of perfect LD (r(2) = 1.0) using frequency-matched SNPs and found significant differences in the extent of LD in genic regions versus intergenic regions. The SNP pairs exhibiting perfect LD showed a significant bias for derived, nonancestral alleles, providing evidence for positive natural selection in the human genome

Sequence Variation and Linkage Disequilibrium in the Human T-Cell Receptor β (TCRB) Locus

The T-cell receptor (TCR) plays a central role in the immune system, and >90% of human T cells present a receptor that consists of the α TCR subunit (TCRA) and the β subunit (TCRB). Here we report an analysis of 63 variable genes (BV), spanning 553 kb of TCRB that yielded 279 single-nucleotide polymorphisms (SNPs). Samples were drawn from 10 individuals and represent four populations—African American, Chinese, Mexican, and Northern European. We found nine variants that produce nonfunctional BV segments, removing those genes from the TCRB genomic repertoire. There was significant heterogeneity among population samples in SNP frequency (including the BV-inactivating sites), indicating the need for multiple-population samples for adequate variant discovery. In addition, we observed considerable linkage disequilibrium (LD) (r(2)>0.1) over distances of ∼30 kb in TCRB, and, in general, the distribution of r(2) as a function of physical distance was in close agreement with neutral coalescent simulations. LD in TCRB showed considerable spatial variation across the locus, being concentrated in “blocks” of LD; however, coalescent simulations of the locus illustrated that the heterogeneity of LD we observed in TCRB did not differ markedly from that expected from neutral processes. Finally, examination of the extended genotypes for each subject demonstrated homozygous stretches of >100 kb in the locus of several individuals. These results provide the basis for optimization of locuswide SNP typing in TCRB for studies of genotype-phenotype association

Prospective evaluation of changes in pain levels, quality of life and functionality after low dose radiotherapy for epicondylitis, plantar fasciitis, and finger osteoarthritis

Background: The objective benefits of low dose radiotherapy (LDRT) for non-malignant joint disorders are controversial. This study evaluated changes in pain, quality of life (QoL) and function after LDRT for epicondylitis, plantar fasciitis, and finger osteoarthritis. Materials and Methods: Patients over 40 years old with epicondylitis, plantar fasciitis, and finger osteoarthritis were had pain following at least 6 months of conservative therapy. Patients received 0.5 Gy LDRT twice weekly for 4 weeks repeated once after 8 weeks in patients who failed to achieve complete pain relief. Patients assessed their pain according to the visual analog scale. Handgrip strength was measured with an isometric dynamometer and the fast self-paced walking test was used in patients with plantar fasciitis. QoL was evaluated according to the EQ-5D and HAQ-DI questionnaires. Results: Outcomes for 157 patients (204 sites) were documented at 2, 6, and 12 months after last LDRT. Pain reduction at rest (p < 0.001), during activity (p < 0.001) and increase in handgrip strength (extension p < 0.001, flexion p = 0.002) were highly significant for patients with lateral epicondylitis. Patients with medial epicondylitis reported pain relief at rest (p = 0.041) and during activity (p = 0.041) and significant increase in handgrip strength (p = 0.022). Patients with plantar fasciitis reported pain reduction at rest (p < 0.001), during activity (p < 0.001) and faster walking times (p < 0.001). A trend toward improved QoL was observed. Patients with finger osteoarthritis reported significant pain relief during activity (p < 0.001) and a gain in handgrip strength (p = 0.004), with a trend to both pain relief at rest (p = 0.056) and stronger pinch grip (p = 0.099). Conclusions: LDRT achieved significant pain relief at rest and during activity and a corresponding objective improvement in handgrip strength in patients with epicondylitis. Pain relief at rest, during activity and improvement in walking time were demonstrated in patients with plantar fasciitis. LDRT achieved pain relief during activity, and handgrip strength was improved in patients with finger osteoarthritis. No significant effect was seen on quality of life measures for these conditions. The observed benefits were maintained 12 months after LDRT for all 3 indications and we recommend this low cost, safe intervention for patients over 40 who have failed prior conservative therapy

Azine Derivatives as a New Generation of Insect Growth Regulators

A new generation of insect-growth-regulator insecticides, the azines, are presented. They inhibit the chitin biosynthesis process and are active against lepidopteran pests. Their synthesis and a structure–activity relationship will be discussed

Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium

Common genetic polymorphisms may explain a portion of the heritable risk for common diseases. Within candidate genes, the number of common polymorphisms is finite, but direct assay of all existing common polymorphism is inefficient, because genotypes at many of these sites are strongly correlated. Thus, it is not necessary to assay all common variants if the patterns of allelic association between common variants can be described. We have developed an algorithm to select the maximally informative set of common single-nucleotide polymorphisms (tagSNPs) to assay in candidate-gene association studies, such that all known common polymorphisms either are directly assayed or exceed a threshold level of association with a tagSNP. The algorithm is based on the r(2) linkage disequilibrium (LD) statistic, because r(2) is directly related to statistical power to detect disease associations with unassayed sites. We show that, at a relatively stringent r(2) threshold (r(2)>0.8), the LD-selected tagSNPs resolve >80% of all haplotypes across a set of 100 candidate genes, regardless of recombination, and tag specific haplotypes and clades of related haplotypes in nonrecombinant regions. Thus, if the patterns of common variation are described for a candidate gene, analysis of the tagSNP set can comprehensively interrogate for main effects from common functional variation. We demonstrate that, although common variation tends to be shared between populations, tagSNPs should be selected separately for populations with different ancestries

Fraction of SNP Pairs—with Identical Numbers of Minor Allele Observations—in Perfect LD for Intergenic and Genic Regions

<p>The dashed lines show the results after removing the 100 regions that contribute the most perfectly correlated SNP pairs for the European (A), African-American (B), and Han Chinese (C) populations.</p