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opencc-zeroMar 2020View details →

Genetic architecture associated with familial short stature

Context Human height is an inheritable, polygenic trait under complex and multi-locus genetic regulation. Familial short stature (FSS; also called genetic short stature) is the most common type of short stature and is insufficiently known. Objective To investigate the FSS genetic profile and develop a polygenic risk predisposition score for FSS risk prediction. Design and Setting The FSS case group of Han Chinese ancestry was diagnosed by pediatric endocrinologists in Taiwan. Patients and Interventions The genetic profile of 1,163 FSS cases was identified by using a bootstrapping sub-sampling and genome-wide association studies (GWAS) method. Main Outcome Measures Genetic profile, polygenic risk predisposition score for risk prediction. Results Ten novel genetic SNPs and 9 reported GWAS human height-related SNPs were identified for FSS risk. These 10 novel SNPs served as a polygenic risk predisposition score for FSS risk prediction (area under curve (AUC): 0.940 in the testing group). This FSS polygenic risk predisposition score was also associated with the height reduction regression tendency in the general population. Conclusion A polygenic risk predisposition score composed of 10 genetic SNPs is useful for FSS risk prediction and the height reduction tendency. Thus, it might contribute to FSS risk in the Han Chinese population from Taiwan.

opencc-zeroApr 2024View details →

Data from: forest stand dynamics of a short-stature tree species: ecological knowledge for sustainable forest management

This data set is a forest inventory of Nothofagus antarctica in southern Chile. More than 20 sites were selected. In each site, parallel transects were set and every 30 m a sampling point was set where the distance to the nearest four trees (in accordance with the cardinal points) were measured.

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Additional data for Insights for the Partitioning of Ecosystem Evaporation and Transpiration in Short-Statured Croplands

Data includes LAI and SPA-Crop model outputs for the 2018-2019 winter wheat and for the 2019-2020 winter barley crop seasons. Eddy covariance and meteorological data from Oensingen (CH-Oe2) are available at http://www.europe-fluxdata.eu/home/site-details?id=CH-Oe2

opencc-by-4.0Jul 2022View details →

zenodo36/100

Data from: Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast

This directory contains data used in the paper "Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast" published in the journal International Journal of Remote Sensing. No data was collected specifically for this study; instead, we made use of publicly available LiDAR data and LANDSAT imagery.

opencc-by-4.0Nov 2022View details →

zenodo36/100

Imputed data from for predicting skeletal stature using ancient DNA

These are the three imputed genotype datasets from the following publication. Please consult the paper for details of the imputation approach, metadata for the samples, and the original data sources. These data are freely available but you should cite the original sources, as well as our paper.  Predicting skeletal stature using ancient DNA; Cox S, Moots HM, Stock JT, Shbat A, Bitarello B, Nicklisch N, Alt K, Haak W, Rosenstock E, Ruff CB, Mathieson I; American Journal of Biological Anthropology, Jan 2022. <a href="https://doi.org/10.1002/ajpa.24426">https://doi.org/10.1002/ajpa.24426</a>

opencc-by-4.0Nov 2022View details →

Aromatase Inhibitors, Alone And In Combination With Growth Hormone In Adolescent Boys With Idiopathic Short Stature

ClinicalTrials.gov study NCT01248416. IPD Sharing: Not stated. Countries: 2. Publications: 1.

A Phase 3 Study to Evaluate the Safety and Efficacy of Saizen® in Children With Idiopathic Short Stature (ISS)

ClinicalTrials.gov study NCT01746862. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Treatment With Recombinant Human Growth Hormone (GH) in Children With Short Stature Secondary to a Long Term Corticoid Therapy

ClinicalTrials.gov study NCT00174187. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Growth Hormone Treatment for the Prevention of Short Stature in Young Girls With Turner Syndrome Before the Age of 4 Years

ClinicalTrials.gov study NCT01066052. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Investigating the Long-term Efficacy and Safety of Two Doses of NN-220 (Somatropin) in Short Stature Due to Noonan Syndrome

ClinicalTrials.gov study NCT01927861. IPD Sharing: Not stated. Countries: 1. Publications: 3.

Efficacy and Safety of Recombinant Human Growth Hormone on Height Velocity in Subjects With Idiopathic Short Stature

ClinicalTrials.gov study NCT01778023. IPD Sharing: Not stated. Countries: 1. Publications: 1.

publicApr 2024View details →

Data from: forest stand dynamics of a short-stature tree species: ecological knowledge for sustainable forest management

Open the record for dataset details and reuse information.

publicMar 2020View details →

Genetic architecture associated with familial short stature

Open the record for dataset details and reuse information.

opencc-zeroDec 2019View details →

DNA methylation profiling and genomic analysis in 20 children with short stature who were born small-for-gestational age

Purpose: In a significant proportion of children born small-for-gestational age (SGA) with failure of catch-up growth, the etiology of short stature remains unclear after routine diagnostic work-up. We wanted to investigate if extensive analysis of the (epi)genome can unravel the cause of growth failure in a significant portion of these children. Patients and Methods: Twenty SGA children treated with growth hormone (GH) because of short stature were selected from the BELGROW database of the Belgian Society for Pediatric Endocrinology and Diabetology for exome sequencing, SNP array and genome-wide methylation analysis to identify the (epi)genetic cause. First year response to GH was compared to the response of SGA patients in the KIGS database. Results: We identified (likely) pathogenic variants in 4 children (from 3 families) using exome sequencing and found pathogenic CNV in 2 probands using SNP array. In a child harboring a NSD1-containing microduplication, we identified a DNA methylation signature that is opposite to the genome-wide DNA methylation signature of Sotos syndrome. Moreover, we observed multi-locus imprinting disturbances in two children in whom no other genomic alteration could be identified. Five out of 6 children with a genetic diagnosis had an "above average" response to GH. Conclusions: The study indicates that a more advanced approach with deep genotyping can unravel unexpected (epi)genomic alterations in SGA children with persistent growth failure. Most SGA children with a genetic diagnosis had a good response to GH treatment.

opencc-zeroDec 2016View details →

Data from: Open-top chambers for temperature manipulation in taller-stature plant communities

Open-top chambers simulate global warming by passively increasing air temperatures in field experiments. They are commonly used in low-stature alpine and arctic ecosystems, but rarely in taller-stature plant communities because of their limited height. We present a modified International Tundra Experiment (ITEX) chamber design for year-round outdoor use in warming taller-stature plant communities up to 1.5m tall. We report a full year of results for the chambers' effects on air and soil temperature, relative humidity, and soil moisture in a northern hardwood forest clearing and a southern early successional grassland site located in Michigan, USA. Detailed construction plans are also provided. The chambers elevated daytime air temperatures at 1m height by 1.8ºC above ambient levels, on average over an entire year, at both the northern and southern site. The chambers did not affect relative humidity at either site. The chambers did not alter average soil temperature or moisture at the northern site and reduced soil temperatures and soil moisture at the southern site. The chambers increased variability in soil freeze/thaw cycles at both sites. The chambers achieved predicted levels of warming for mid-century (2046-2065) scenarios consistent with the majority of Representative Concentration Pathways (RCPs) in the International Panel on Climate Change 5th Assessment Report, with minimal experimental artifact. This design is a valuable tool for examining the effects of in situ warming on understudied taller-stature plant communities and creates the opportunity to expand future comparisons across a diversity of systems.

opencc-zeroApr 2022View details →

Demographic rates and stature of tree species in 13 sub-tropical forests: annual growth, annual survival, annual recruitment >( 1 cm dbh), stature (max dbh)

Organisms of all species must balance their allocation to growth, survival and recruitment. Among tree species, evolution has resulted in different life-history strategies for partitioning resources to these key demographic processes. Life-history strategies in tropical forests have often been shown to align along a trade-off between fast growth and high survival, i.e. the well-known fast-slow continuum. In addition, an orthogonal trade-off has been proposed between tall stature – resulting from fast growth and high survival – and recruitment success, i.e. a stature−recruitment trade-off. However, it is not clear if these two independent dimensions of life-history variation structure tropical forests worldwide. We used data from 13 large-scale and long-term tropical forest monitoring plots in three continents to explore the principal trade-offs in annual growth, survival and recruitment as well as tree stature. These forests included relatively undisturbed forests as well as typhoon-disturbed forests. Life-history variation in twelve forests was structured by two orthogonal trade-offs, the growth−survival trade-off and the stature−recruitment trade-off. Pairwise Procrustes analysis revealed a high similarity of demographic relationships among forests. The small deviations were related to differences between African and Asian plots. Synthesis. The fast-slow continuum and tree stature are two independent dimensions structuring many, but not all tropical tree communities. Our discovery of the consistency of demographic trade-offs and life-history strategies across different forest types from three continents substantially improves our ability to predict tropical forest dynamics worldwide.

opencc-zeroJun 2022View details →

Data from: Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast

Novel plant communities reshape landscapes and pose challenges for land cover classification and mapping that can constrain research and stewardship efforts. In the US Northeast, emergence of low-statured woody vegetation, or 'shrublands', instead of secondary forests in post-agricultural landscapes is well-documented by field studies, but poorly understood from a landscape perspective, which limits the ability to systematically study and manage these lands. To address gaps in classification/mapping of low-statured cover types where they have been historically rare, we developed models to predict 'shrubland' distributions at 30m resolution across New York State (NYS), using machine learning and model ensembling techniques to integrate remote sensing of structural (airborne LIDAR) and optical (satellite imagery) properties of vegetation cover. We first classified a 1m canopy height model (CHM), derived from a "patchwork" of available LIDAR coverages, to define shrubland presence/absence. Next, these non-contiguous maps were used to train a model ensemble based on temporally-segmented imagery to predict 'shrubland' probability for the entire study landscape (NYS). Approximately 2.5% of the CHM coverage area was classified as shrubland. Models using Landsat predictors trained on the classified CHM were effective at identifying shrubland (test set AUC=0.893, real-world AUC=0.904), in discriminating between shrub/young forest and other cover classes, and produced qualitatively sensible maps, even when extending beyond the original training data. After ground-truthing, we expect these shrubland maps and models will have many research and stewardship applications including wildlife conservation, invasive species mitigation and natural climate solutions. Overall our results compared favorably in terms of accuracy with existing LULC products, suggesting that incorporation of airborne LiDAR, even from a discontinuous patchwork of coverages, can improve LULC classification of historically rare but increasingly prevalent 'shrubland' habitats across broader areas.