ORCID Profile
0000-0002-0093-2727
Current Organisation
The University of Texas at Austin
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Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 30-08-2019
DOI: 10.1097/PSY.0000000000000742
Abstract: Neuroticism is associated with poor health outcomes, but its contribution to the accumulation of health deficits in old age, that is, the frailty index, is largely unknown. We aimed to explore associations between neuroticism and frailty cross-sectionally and longitudinally, and to investigate the contribution of shared genetic influences. Data were derived from the UK Biobank (UKB n = 274,951), the Australian Over 50’s Study (AO50 n = 2849), and the Swedish Twin Registry (Screening Across the Lifespan of Twins Study [SALT], n = 18,960 The Swedish Adoption/Twin Study of Aging [SATSA], n = 1365). Associations between neuroticism and the frailty index were investigated using regression analysis cross-sectionally in UKB, AO50, and SATSA and longitudinally in SALT (25–29 years of follow-up) and SATSA (6 and 23 years of follow-up). The co-twin control method was applied to explore the contribution of underlying shared familial factors (SALT, SATSA, AO50). Genome-wide polygenic risk scores for neuroticism were used in all s les to further assess whether common genetic variants associated with neuroticism predict frailty. High neuroticism was consistently associated with greater frailty cross-sectionally (adjusted β [95% confidence intervals] in UKB = 0.32 [0.32–0.33] AO50 = 0.35 [0.31–0.39] SATSA = 0.33 [0.27–0.39]) and longitudinally up to 29 years (SALT = 0.24 [0.22–0.25] SATSA 6 years = 0.31 [0.24–0.38] SATSA 23 years = 0.16 [0.07–0.25]). When adjusting for underlying shared genetic and environmental factors, the neuroticism-frailty association remained significant, although decreased. Polygenic risk scores for neuroticism significantly predicted frailty in the two larger s les (meta-analyzed total β = 0.059 [0.055–0.062]). Neuroticism in midlife predicts frailty in late life. Neuroticism may have a causal influence on frailty, whereas both environmental and genetic influences, including neuroticism-associated common genetic variants, contribute to this relationship.
Publisher: Copernicus GmbH
Date: 09-07-2020
Abstract: Abstract. We present a topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL), East Antarctica – the last remaining region in Antarctica to be surveyed by airborne radio-echo sounding (RES) techniques. The DEM covers an area of ~900,000 km2 and was established from new RES data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four c aigns since 2015. Previously, the region (along with Recovery basin elsewhere in East Antarctica) was characterised by an inversion using low resolution satellite gravity data across a large ( km wide) data-free zone to generate the Bedmap2 topographic product. We use the mass conservation (MC) method to produce an ice thickness grid across faster-flowing ( m yr-1) regions of the ice sheet and streamline diffusion in slower-flowing areas. The resulting ice thickness model is integrated with an ice surface model to build the bed DEM. With the revised bed DEM, we are able to model the flow of subglacial water and assess where the hydraulic pressure, and hydrological routing, is most sensitive to small ice-surface gradient changes. Together with BedMachine Antarctica, and Bedmap2, this new PEL bed DEM completes the first order measurement of subglacial continental Antarctica – an international mission that began around 70 years ago. The ice thickness and bed elevation DEMs of PEL (resolved horizontally at 500 m relative to ice surface elevations obtained from a combination of European Remote Sensing Satellite 1 radar (ERS-1) and Ice, Cloud and Land Elevation Satellite (ICESat) laser satellite altimetry datasets) are accessible from 0.5281/zenodo.3666088 (Cui et 38al., 2020).
Publisher: Copernicus GmbH
Date: 14-11-2020
DOI: 10.5194/ESSD-12-2765-2020
Abstract: Abstract. We present a topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL), East Antarctica. The DEM covers an area of ∼900 000 km2 and was built from radio-echo sounding data collected during four c aigns since 2015. Previously, to generate the Bedmap2 topographic product, PEL's bed was characterized from low-resolution satellite gravity data across an otherwise large ( km wide) data-free zone. We use the mass conservation (MC) method to produce an ice thickness grid across faster flowing ( m yr−1) regions of the ice sheet and streamline diffusion in slower flowing areas. The resulting ice thickness model is integrated with an ice surface model to build the bed DEM. Together with BedMachine Antarctica and Bedmap2, this new bed DEM completes the first-order measurement of subglacial continental Antarctica – an international mission that began around 70 years ago. The ice thickness data and bed DEMs of PEL (resolved horizontally at 500 m relative to ice surface elevations obtained from the Reference Elevation Model of Antarctica – REMA) are accessible from 0.5281/zenodo.4023343 (Cui et al., 2020a) and 0.5281/zenodo.4023393 (Cui et al., 2020b).
Publisher: Elsevier BV
Date: 06-2021
No related grants have been discovered for Wei Wei.