Investing in 4-H Volunteers Through State Leadership Forums

State volunteer forums can be an invaluable resource for providing opportunities for volunteer training on positive youth development. Some western states have experienced decreasing attendance and have questioned the practicality of hosting such forums. In this article, we showcase successes that one western state has experienced as a result of implementing innovative approaches. An online survey of participants showed increased capacity of volunteers to lead 4-H programs. Additionally, we outline implications for Extension professionals to inform their efforts to achieve successful volunteer forums

The Effects of Non-Academic Mentoring on School-Related Cognitions: A Pilot Study

Mentoring has been shown to positively influence various youth outcomes and developmental assets. The 4-H Mentoring: Youth and Families with Promise (4-H YFP) program is a multi-component program designed to enhance individual, familial, and social assets of at-risk youth. This pilot study examines the effects of participation in the 4-H YFP program on school-related cognitions. Data were collected on 20 mentored at-risk youth and 18 waiting list youth. RMANOVA analyses identified significant differences on one scale and expected trends on five additional scales. Ecological systems theory is used to inform the interpretation of results

The Effects of Non-Academic Mentoring on School-Related Cognitions: A Pilot Study

Mentoring has been shown to positively influence various youth outcomes and developmental assets. The 4-H Mentoring: Youth and Families with Promise (4-H YFP) program is a multi-component program designed to enhance individual, familial, and social assets of at-risk youth. This pilot study examines the effects of participation in the 4-H YFP program on school-related cognitions. Data were collected on 20 mentored at-risk youth and 18 waiting list youth. RMANOVA analyses identified significant differences on one scale and expected trends on five additional scales. Ecological systems theory is used to inform the interpretation of results

The Money Mentors Program: Increasing Financial Literacy in Utah Youths

Utah 4-H and Fidelity Investments collaborated on a program for increasing the financial literacy of teens and children. The collaboration resulted in positive impacts for both Extension and Utah youths. Extension benefited through partnership with a corporation that provided content expertise, volunteers, and funding for a financial literacy program. Youths benefited from improved financial literacy. A Teens Reaching Youth (TRY) team approach was used for the training of 81 teens, who then taught 530 youths statewide. The curriculum addressed research-based financial concepts through activities and technologies that were interactive, appealing, and engaging. The program development and implementation processes may serve as models for other Extension programs, and the curriculum is free to download

Traces of Fallback Breccia on the Rim of Barringer Meteorite Crater (a.k.a. Meteor Crater), Arizona

Barringer Meteorite Crater (a.k.a. Meteor Crater), Arizona, is one of the youngest and best preserved impact craters on Earth. For that rea-son, it provides a baseline for similar craters formed in the geologic past, formed elsewhere in the Solar Sys-tem, and illuminates the astronomical and geological processes that produce them. The crater has not, how-ever, escaped erosion completely. While Shoemaker [1] mapped a breccia with fallback components inside the crater, he did not locate it beyond the crater rim. He only found remnants of that type of debris in re-worked alluvium [1; see also 2]. Fallback breccia and any base-surge deposits have, thus, been missing components in studies of material ejected beyond the transient crater rim

Distribution and medical impact of loss-of-function variants in the Finnish founder population.

Exome sequencing studies in complex diseases are challenged by the allelic heterogeneity, large number and modest effect sizes of associated variants on disease risk and the presence of large numbers of neutral variants, even in phenotypically relevant genes. Isolated populations with recent bottlenecks offer advantages for studying rare variants in complex diseases as they have deleterious variants that are present at higher frequencies as well as a substantial reduction in rare neutral variation. To explore the potential of the Finnish founder population for studying low-frequency (0.5-5%) variants in complex diseases, we compared exome sequence data on 3,000 Finns to the same number of non-Finnish Europeans and discovered that, despite having fewer variable sites overall, the average Finn has more low-frequency loss-of-function variants and complete gene knockouts. We then used several well-characterized Finnish population cohorts to study the phenotypic effects of 83 enriched loss-of-function variants across 60 phenotypes in 36,262 Finns. Using a deep set of quantitative traits collected on these cohorts, we show 5 associations (p<5×10⁻⁸) including splice variants in LPA that lowered plasma lipoprotein(a) levels (P = 1.5×10⁻¹¹⁷). Through accessing the national medical records of these participants, we evaluate the LPA finding via Mendelian randomization and confirm that these splice variants confer protection from cardiovascular disease (OR = 0.84, P = 3×10⁻⁴), demonstrating for the first time the correlation between very low levels of LPA in humans with potential therapeutic implications for cardiovascular diseases. More generally, this study articulates substantial advantages for studying the role of rare variation in complex phenotypes in founder populations like the Finns and by combining a unique population genetic history with data from large population cohorts and centralized research access to National Health Registers

Leiomodin-3 dysfunction results in thin filament disorganization and nemaline myopathy

Peer reviewe

A framework for the interpretation of de novo mutation in human disease

Spontaneously arising (‘de novo’) mutations play an important role in medical genetics. For diseases with extensive locus heterogeneity – such as autism spectrum disorders (ASDs) – the signal from de novo mutations (DNMs) is distributed across many genes, making it difficult to distinguish disease-relevant mutations from background variation. We provide a statistical framework for the analysis of DNM excesses per gene and gene set by calibrating a model of de novo mutation. We applied this framework to DNMs collected from 1,078 ASD trios and – while affirming a significant role for loss-of-function (LoF) mutations – found no excess of de novo LoF mutations in cases with IQ above 100, suggesting that the role of DNMs in ASD may reside in fundamental neurodevelopmental processes. We also used our model to identify ~1,000 genes that are significantly lacking functional coding variation in non-ASD samples and are enriched for de novo LoF mutations identified in ASD cases

Analysis of protein-coding genetic variation in 60,706 humans

Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. We describe the aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of truncating variants with 72% having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human “knockout” variants in protein-coding genes

Analysis of protein-coding genetic variation in 60,706 humans

Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. Here we describe the aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data for 60,706 individuals of diverse ancestries generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of predicted protein-truncating variants, with 72% of these genes having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human 'knockout' variants in protein-coding genes.Peer reviewe