40 results on '"Dawson, S.J."'
Search Results
2. Counting the bodies: Estimating the numbers and spatial variation of Australian reptiles, birds and mammals killed by two invasive mesopredators
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Stobo‐Wilson, A.M., Murphy, B.P., Legge, S.M., Caceres‐Escobar, H., Chapple, D.G., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Garnett, S.T., Gentle, M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J‐M, Suarez‐Castro, A.F., Thompson, E., Tulloch, A., Turpin, J.M., Woinarski, J.C.Z., Brito, J., Stobo‐Wilson, A.M., Murphy, B.P., Legge, S.M., Caceres‐Escobar, H., Chapple, D.G., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Garnett, S.T., Gentle, M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J‐M, Suarez‐Castro, A.F., Thompson, E., Tulloch, A., Turpin, J.M., Woinarski, J.C.Z., and Brito, J.
- Abstract
Aim Introduced predators negatively impact biodiversity globally, with insular fauna often most severely affected. Here, we assess spatial variation in the number of terrestrial vertebrates (excluding amphibians) killed by two mammalian mesopredators introduced to Australia, the red fox (Vulpes vulpes) and feral cat (Felis catus). We aim to identify prey groups that suffer especially high rates of predation, and regions where losses to foxes and/or cats are most substantial. Location Australia. Methods We draw information on the spatial variation in tallies of reptiles, birds and mammals killed by cats in Australia from published studies. We derive tallies for fox predation by (i) modelling continental-scale spatial variation in fox density, (ii) modelling spatial variation in the frequency of occurrence of prey groups in fox diet, (iii) analysing the number of prey individuals within dietary samples and (iv) discounting animals taken as carrion. We derive point estimates of the numbers of individuals killed annually by foxes and by cats and map spatial variation in these tallies. Results Foxes kill more reptiles, birds and mammals (peaking at 1071 km−2 year−1) than cats (55 km−2 year−1) across most of the unmodified temperate and forested areas of mainland Australia, reflecting the generally higher density of foxes than cats in these environments. However, across most of the continent – mainly the arid central and tropical northern regions (and on most Australian islands) – cats kill more animals than foxes. We estimate that foxes and cats together kill 697 million reptiles annually in Australia, 510 million birds and 1435 million mammals. Main conclusions This continental-scale analysis demonstrates that predation by two introduced species takes a substantial and ongoing toll on Australian reptiles, birds and mammals. Continuing population declines and potential extinctions of some of these species threatens to further compound Australia's poor contemporary conser
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- 2022
3. Diet of dingoes in the West Kimberley, and the impact of linear clearing
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Duncan, T.A., Fleming, P.A., Dawson, S.J., Duncan, T.A., Fleming, P.A., and Dawson, S.J.
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Generalist predators, such as the dingo (Canis familiaris), frequently use linear clearings as movement corridors, increasing their mobility, landscape access, and sometimes modifying predator–prey relationships. We quantified the diet of the dingo in the West Kimberley region of Western Australia and tested the hypothesis that clearing of seismic lines would result in a change to the diet of dingoes. A total of 199 scats were collected from inside and outside the footprint of a seismic survey at three collection time points (before and twice after the disturbance). Overall, the diet of dingoes varied over seasons (P = 0.003), and between control and treatment sites (P = 0.013); however, there was no evidence of a shift in diet caused by seismic clearing (time × treatment interaction term, P = 0.848). Cattle were the most frequently occurring item (frequency of occurrence = 65% of 199 samples; the greatest value recorded in Australia), with greater consumption of cattle in control and treatment sites at the end of the dry season compared to the early dry season, likely driven by an increase in cattle mortality and susceptibility to predation. Despite dingoes using seismic lines as movement corridors, there is little evidence that this results in a change in their diet.
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- 2022
4. Distinctive diets of eutherian predators in Australia
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Fleming, P.A., Stobo-Wilson, A.M., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.J.S., Newsome, T.M., Palmer, R., Thompson, J.A., Woinarski, J.C.Z., Fleming, P.A., Stobo-Wilson, A.M., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.J.S., Newsome, T.M., Palmer, R., Thompson, J.A., and Woinarski, J.C.Z.
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Introduction of the domestic cat and red fox has devastated Australian native fauna. We synthesized Australian diet analyses to identify traits of prey species in cat, fox and dingo diets, which prey were more frequent or distinctive to the diet of each predator, and quantified dietary overlap. Nearly half (45%) of all Australian terrestrial mammal, bird and reptile species occurred in the diets of one or more predators. Cat and dingo diets overlapped least (0.64 ± 0.27, n = 24 location/time points) and cat diet changed little over 55 years of study. Cats were more likely to have eaten birds, reptiles and small mammals than foxes or dingoes. Dingo diet remained constant over 53 years and constituted the largest mammal, bird and reptile prey species, including more macropods/potoroids, wombats, monotremes and bandicoots/bilbies than cats or foxes. Fox diet had greater overlap with both cats (0.79 ± 0.20, n = 37) and dingoes (0.73 ± 0.21, n = 42), fewer distinctive items (plant material, possums/gliders) and significant spatial and temporal heterogeneity over 69 years, suggesting the opportunity for prey switching (especially of mammal prey) to mitigate competition. Our study reinforced concerns about mesopredator impacts upon scarce/threatened species and the need to control foxes and cats for fauna conservation. However, extensive dietary overlap and opportunism, as well as low incidence of mesopredators in dingo diets, precluded resolution of the debate about possible dingo suppression of foxes and cats.
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- 2022
5. Land use and dingo baiting are correlated with the density of kangaroos in rangeland systems
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Dawson, S.J., Kreplins, T.L., Kennedy, M.S., Renwick, J., Cowan, M.A., Fleming, P.A., Dawson, S.J., Kreplins, T.L., Kennedy, M.S., Renwick, J., Cowan, M.A., and Fleming, P.A.
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Rangelands worldwide have been subject to broadscale modification, such as widespread predator control, introduction of permanent livestock water and altered vegetation to improve grazing. In Australia, these landscape changes have resulted in kangaroos (i.e. large macropods) populations increasing over the past 200 years. Kangaroos are a key contributor to total grazing pressure and in conjunction with livestock and feral herbivores have been linked to land degradation. We used 22 years of aerial survey data to investigate whether the density of 3 macropod species in the southern rangelands of Western Australia was associated with: (i) land use, including type of livestock, total livestock, density of feral goats, type of land tenure, and kangaroo commercial harvest effort; (ii) predator management, including permitted dingo control effort, estimated dingo abundance, and presence of the State Barrier Fence (a dingo exclusion fence); and (iii) environmental variables: ruggedness, rainfall, fractional cover, and total standing dry matter. Red kangaroos (Osphranter rufus) were most abundant in flat, open vegetation, on pastoral land, where area permitted for dingo control was high, and numbers were positively associated with antecedent rainfall with a 12-month delay. Western grey kangaroos (Macropus fuliginosus) were most abundant on flat, agricultural land, but less abundant in areas with high permitted dingo control. Euros (Osphranter robustus) were most abundant in rugged pastoral land with open vegetation, where permitted dingo control was high. While environmental variables are key drivers of landscape productivity and kangaroo populations, anthropogenic factors such as land use and permitted dingo control are strongly associated with kangaroo abundance.
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- 2022
6. Solid Phase Synthesis of Helically Folded Aromatic Oligoamides
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Dawson, S.J., primary, Hu, X., additional, Claerhout, S., additional, and Huc, I., additional
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- 2016
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7. Sharing meals: Predation on Australian mammals by the introduced European red fox compounds and complements predation by feral cats
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Stobo-Wilson, A.M., Murphy, B.P., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Gentle, M.N., Legge, S.M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J-M, Thompson, E., Turpin, J., Woinarski, J.C.Z., Stobo-Wilson, A.M., Murphy, B.P., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Gentle, M.N., Legge, S.M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J-M, Thompson, E., Turpin, J., and Woinarski, J.C.Z.
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Two introduced carnivores, the European red fox Vulpes vulpes and domestic cat Felis catus, have had, and continue to have, major impacts on wildlife, particularly mammals, across Australia. Based mainly on the contents of almost 50,000 fox dietary samples, we provide the first comprehensive inventory of Australian mammal species known to be consumed by foxes, and compare this with a similar assessment for cats. We recorded consumption by foxes of 114 species of Australian land mammal (40% of extant species), fewer than consumed by cats (173 species). Foxes are known to consume 42 threatened mammal species (50% of Australia's threatened land mammals and 66% of those within the fox's Australian range). Reflecting the importance of mammals in their diet, foxes are known to consume a far higher proportion of Australian mammal species (40%) than of Australian birds (24%) and reptiles (16%). Both foxes and cats were most likely to consume medium-sized mammals, with the likelihood of predation by foxes peaking for mammals of ca. 280 g and by cats at ca. 130 g. For non-flying mammals, threatened species had a higher relative likelihood of predation by foxes than non-threatened species. Using trait-based modelling, we estimate that many now-extinct Australian mammal species had very high likelihoods of predation by foxes and cats, although we note that for some of these species, extinction likely pre-dated the arrival of foxes. These two predators continue to have compounding and complementary impacts on Australian mammals. Targeted and integrated management of foxes and cats is required to help maintain and recover the Australian mammal fauna.
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- 2021
8. Reptiles as food: Predation of Australian reptiles by introduced red foxes compounds and complements predation by cats
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Stobo-Wilson, A.M., Murphy, B.P., Legge, S.M., Chapple, D.G., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Gentle, M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J-M, Thompson, E., Turpin, J., Woinarski, J.C.Z., Stobo-Wilson, A.M., Murphy, B.P., Legge, S.M., Chapple, D.G., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Gentle, M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J-M, Thompson, E., Turpin, J., and Woinarski, J.C.Z.
- Abstract
Context: Invasive species are a major cause of biodiversity loss across much of the world, and a key threat to Australia’s diverse reptile fauna. There has been no previous comprehensive analysis of the potential impact of the introduced European red fox, Vulpes vulpes, on Australian reptiles. Aims: We seek to provide an inventory of all Australian reptile species known to be consumed by the fox, and identify characteristics of squamate species associated with such predation. We also compare these tallies and characteristics with reptile species known to be consumed by the domestic cat, Felis catus, to examine whether predation by these two introduced species is compounded (i.e. affecting much the same set of species) or complementary (affecting different groups of species). Methods: We collated records of Australian reptiles consumed by foxes in Australia, with most records deriving from fox dietary studies (tallying >35 000 samples). We modelled presence or absence of fox predation records against a set of biological and other traits, and population trends, for squamate species. Key results: In total, 108 reptile species (~11% of Australia’s terrestrial reptile fauna) have been recorded as consumed by foxes, fewer than that reported for cats (263 species). Eighty-six species have been reported to be eaten by both predators. More Australian turtle species have been reported as consumed by foxes than by cats, including many that suffer high levels of predation on egg clutches. Twenty threatened reptile species have been reported as consumed by foxes, and 15 by cats. Squamate species consumed by foxes are more likely to be undergoing population decline than those not known to be consumed by foxes. The likelihood of predation by foxes increased with squamate species’ adult body mass, in contrast to the relationship for predation by cats, which peaked at ~217 g. Foxes, but not cats, were also less likely to consume venomous snakes. Conclusions: The two introduced, and
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- 2021
9. Diet of the introduced red fox Vulpes vulpes in Australia: Analysis of temporal and spatial patterns
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Fleming, P.A., Crawford, H.M., Stobo‐Wilson, A.M., Dawson, S.J., Dickman, C.R., Dundas, S.J., Gentle, M.N., Newsome, T.M., O’Connor, J., Palmer, R., Riley, J., Ritchie, E.G., Speed, J., Saunders, G., Stuart, J‐M.D., Thompson, E., Turpin, J.M., Woinarski, J.C.Z., Fleming, P.A., Crawford, H.M., Stobo‐Wilson, A.M., Dawson, S.J., Dickman, C.R., Dundas, S.J., Gentle, M.N., Newsome, T.M., O’Connor, J., Palmer, R., Riley, J., Ritchie, E.G., Speed, J., Saunders, G., Stuart, J‐M.D., Thompson, E., Turpin, J.M., and Woinarski, J.C.Z.
- Abstract
The red fox Vulpes vulpes is one of the world’s most widespread carnivores. A key to its success has been its broad, opportunistic diet. The fox was introduced to Australia about 150 years ago, and within 30 years of its introduction was already recognised as a threat to livestock and native wildlife. We reviewed 85 fox diet studies (totalling 31693 samples) from throughout the species’ geographic range within Australia. Mammals were a major component of fox diet, being present in 70 ± 19% of samples across n = 160 locations. Invertebrates (38 ± 26% n = 130) and plant material (26 ± 25% n = 123) were also both staple foods and often the dominant food category recorded. Birds (13 ± 11% n = 137) and reptiles (10 ± 15% n = 132) were also commonly reported, while frogs were scarcely represented (1.6 ± 3.6% n = 111) in fox diet studies. Biogeographical differences reveal factors that likely determine prey availability. Diet composition varied with ecosystem, level of vegetation clearing and condition, and climate zone. Sample type (i.e. stomach versus scat samples) also significantly influenced reporting of diet composition. Livestock and frogs were underrepresented in records based on analysis of scats, whereas small mammals (native rodents, dasyurid marsupials, and bats) were more likely to be recorded in studies of scats than in studies of stomach contents. Diet varied seasonally, reflecting activity patterns of prey species and food availability. This synthesis also captures temporal shifts in fox diet over 70 years (1951–2020), as foxes have switched to consuming more native species in the wake of successful broadscale biological control of the invasive European rabbit Oryctolagus cuniculus. Diet analyses, such as those summarised in this review, capture the evidence required to motivate for greater control of foxes in Australia. This synthesis also highlights the importance of integrated pest species management to meet biodiversity conservation outcomes.
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- 2021
10. Compounding and complementary carnivores: Australian bird species eaten by the introduced European red fox Vulpes vulpes and domestic cat Felis catus
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Woinarski, J.C.Z., Stobo-Wilson, A.M., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Garnett, S.T., Gentle, M.N., Legge, S.M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J-M, Thompson, E., Turpin, J., Murphy, B.P., Woinarski, J.C.Z., Stobo-Wilson, A.M., Crawford, H.M., Dawson, S.J., Dickman, C.R., Doherty, T.S., Fleming, P.A., Garnett, S.T., Gentle, M.N., Legge, S.M., Newsome, T.M., Palmer, R., Rees, M.W., Ritchie, E.G., Speed, J., Stuart, J-M, Thompson, E., Turpin, J., and Murphy, B.P.
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Two introduced carnivores, the European red fox Vulpes vulpes and domestic cat Felis catus, have had extensive impacts on Australian biodiversity. In this study, we collate information on consumption of Australian birds by the fox, paralleling a recent study reporting on birds consumed by cats. We found records of consumption by foxes on 128 native bird species (18% of the non-vagrant bird fauna and 25% of those species within the fox’s range), a smaller tally than for cats (343 species, including 297 within the fox’s Australian range, a subset of that of the cat). Most (81%) bird species eaten by foxes are also eaten by cats, suggesting that predation impacts are compounded. As with consumption by cats, birds that nest or forage on the ground are most likely to be consumed by foxes. However, there is also some partitioning, with records of consumption by foxes but not cats for 25 bird species, indicating that impacts of the two predators may also be complementary. Bird species ≥3.4 kg were more likely to be eaten by foxes, and those <3.4 kg by cats. Our compilation provides an inventory and describes characteristics of Australian bird species known to be consumed by foxes, but we acknowledge that records of predation do not imply population-level impacts. Nonetheless, there is sufficient information from other studies to demonstrate that fox predation has significant impacts on the population viability of some Australian birds, especially larger birds, and those that nest or forage on the ground.
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- 2021
11. Recovery of Pindan vegetation on seismic lines
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Dawson, S.J., Adams, P.J., Waddington, K.I., Moseby, K.E., Fleming, P.A., Dawson, S.J., Adams, P.J., Waddington, K.I., Moseby, K.E., and Fleming, P.A.
- Abstract
Exploration for oil and gas resources requiring the clearing of seismic lines has been occurring in central and northern Australia for many years. For example, seismic surveys have been conducted in the West Kimberley region of Western Australia since the 1960s. Despite this being a widespread practice, the recovery of vegetation on seismic lines has not been well studied. To better understand vegetation recovery in the West Kimberley, we conducted vegetation surveys on recovering seismic lines cleared using a raised-blade technique, from ∼two months to 4.9 years post-clearing, and compared them to paired control plots. Generally, the vegetation structure and community composition on seismic lines recovered quickly, with no discernible difference between control and seismic plots that were cleared more than 6 months prior. Some individual vegetation characteristics (e.g. understorey density and overstorey cover) recovered slowly, whereas other characteristics such as the number of individual grasses, recovered quickly. Vegetation recovery was confounded by the time since fire, which accounted for differences in vegetation structure at 1–2 years and 3–4 years since clearing. The fast recovery rate observed suggests that raised-blade clearing may not present a lasting impact on Pindan vegetation in the West Kimberley.
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- 2019
12. An outback oasis: The ecological importance of bilby burrows
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Dawson, S.J., Broussard, L., Adams, P.J., Moseby, K.E., Waddington, K.I., Kobryn, H.T., Bateman, P.W., Fleming, P.A., Dawson, S.J., Broussard, L., Adams, P.J., Moseby, K.E., Waddington, K.I., Kobryn, H.T., Bateman, P.W., and Fleming, P.A.
- Abstract
Ecosystem engineers are species that have a role in creating and maintaining certain habitat traits that are important for other species. Burrowing species do this by creating subterranean refugia from predation and thermal extremes, but also providing foraging opportunities through soil movement and by increasing local landscape heterogeneity. In this study, we used camera traps to monitor the burrows of greater bilbies (Macrotis lagotis), a vulnerable Australian marsupial, in an area subject to frequent disturbance by fire. We tested the hypothesis that bilby burrows provide refuge for other species and therefore their presence increases biodiversity. In total, 45 taxa – 22 bird, 16 reptile and 7 mammal taxa – were recorded interacting with 127 burrows across 7 sites. Species richness was greater at burrows compared with vegetation away from burrows, while abundance was no different. There was no difference in species assemblage for bilby burrows that were actively maintained by bilbies compared with abandoned burrows, although there was more activity at bilby maintained burrows. A wildfire allowed us to test the ad hoc hypothesis that the use of bilby burrows was greater when vegetation cover was removed by fire. We recorded significant differences in species assemblage interacting with burrows after fire, although overall species richness and abundance did not change. The response of individual species was variable; for example, burrows provide a refuge for smaller species (such as mice and small reptiles), and may therefore protect them from the effects of fire. Where they persist, bilbies provide an important ecosystem engineering service, as their burrows support a broad range of species. Further reduction in the distribution of the bilby is therefore likely to have a flow-on effect on biodiversity, impacting species that use their burrows for refuge.
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- 2019
13. The role of the infection control link nurse
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Dawson, S.J
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- 2003
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14. Peak hour in the bush: Linear anthropogenic clearings funnel predator and prey species
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Dawson, S.J., Adams, P.J., Moseby, K.E., Waddington, K.I., Kobryn, H.T., Bateman, P.W., Fleming, P.A., Dawson, S.J., Adams, P.J., Moseby, K.E., Waddington, K.I., Kobryn, H.T., Bateman, P.W., and Fleming, P.A.
- Abstract
Linear clearings, such as roads and tracks, are an obvious anthropogenic feature in many remote environments, even where infrastructure is sparse. Predator species have been shown to prefer moving down linear clearings, and therefore, clearings could increase predation risk for other species. We investigated whether tracks cleared for seismic surveys are preferentially used by predators and herbivores in a landscape inhabited by bilbies (Macrotis lagotis), a vulnerable species of conservation concern. We used a paired camera trap array to investigate the use of cleared seismic lines at four time points after clearing (1 month, 3 months, 7 months, 48 months) by six mammal species. Bilbies, cattle (Bos indicus/B. taurus), dingoes (Canis familiaris), feral cats (Felis catus) and agile wallabies (Macropus agilis) preferred to use seismic lines compared with adjacent undisturbed vegetation for almost all surveys, while spectacled hare wallabies (Lagorchestes conspicillatus) avoided them. Bilbies and agile wallabies showed similar temporal activity patterns on and off seismic lines but feral cats, dingoes and cattle used seismic lines at different times of day to control areas. We also investigated microhabitat selection by spool tracking individual bilbies. Bilbies selected a route through vegetation that was more open than surrounding vegetation. While spatial and temporal funnelling of bilbies and their predators (especially cats) may increase the frequency of encounter between the two, it is important to note that bilbies were active at significantly different times to predators both on and off seismic lines. The identified selection for seismic lines, and changes in spatial and temporal overlap between species, can be used to develop effective management strategies, to minimize potential impacts on native species.
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- 2018
15. Epidural catheter infections
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Dawson, S.J.
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- 2001
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16. Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs Sector
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Florian, D. de, Grojean, C., Maltoni, F., Mariotti, C., Nikitenko, A., Pieri, M., Savard, P., Schumacher, M., Tanaka, R., Aggleton, R., Ahmad, M.A., Allanach, B., Anastasiou, C., Astill, W., Badger, S.A., Badziak, M., Baglio, J., Bagnaschi, E., Ballestrero, A., Banfi, A., Barducci, D., Beckingham, M., Becot, C., Bélanger, G., Bellm, J., Belyaev, N., Bernlochner, F. U., Beskidt, C., Biekötter, A., Bishara, Fady, Bizon, W., Bomark, N. E., Bonvini, Marco, Borowka, S., Bortolotto, V., Boselli, S., Botella, F. J., Boughezal, R., Branco, G. C., Brehmer, J., Brenner, L., Bressler, S., Brivio, I., Broggio, A., Brun, V.H., Buchalla, G., Burgard, C. D., Calandri, A., Caminada, L., Armadans, R. Caminal, Campanario, F., Campbell, J., Caola, Fabrizio, Calame, C. M. Carloni, Carrazza, Stefano, Carvalho, A., Casolino, M., Cata, O., Celis, A., Cerutti, Francesco, Chanon, N., Chen, M., Chen, X., Nejad, B. Chokoufé, Christensen, N., Ciuchini, M., Contino, R., Corbett, T., Costa, S.R., Curtin, D.M., Dall'Osso, M., David, A., Dawson, S.J., Blas, J. de, Boer, W. de, Manzano, P. de Castro, Degrande, C., Rueda-Delgado, L.M., Demartin, Federico, Denner, A., Micco, B. Di, Nardo, R. Di, Dittmaier, S., Dobado, A., Dorigo, T., Dreyer, F. A., Dührssen, M., Duhr, C., Dulat, F., Ecker, K., Ellis, K.A., Ellwanger, U., Englert, C., Espriu, D., Falkowski, A., Fayard, L., Feger, R., Ferrera, G., Ferroglia, A., Fidanza, N., Figy, T., Flechl, M., Fontes, J.D., Forte, Stefano, Francavilla, P., Franco, E, Frederix, R., Freitas, A., Freitas, F., Frensch, F., Frixione, S., Fuks, B., Furlan, E., Gadatsch, S., Gao, J., Gao, Y., Garzelli, M. V., Gehrmann, T., Gerosa, R., Ghezzi, M., Ghosh, D., Gieseke, S., Gillberg, D., Giudice, G. F., Glover, E. W. N., Goertz, F., Gonçalves, D., Gonzalez-Fraile, J., Gorbahn, M., Gori, S., Gottardo, C. A., Gouzevitch, Maxime, Govoni, P., Gray, D., Grazzini, M., Greiner, N., Greljo, A., Grigo, J., Gritsan, A. V., Gröber, R., Guindon, S., Haber, H. E., Han, C., Han, T.S., Harlander, R., Harrendorf, M. A., Hartanto, H. B., Hays, C., Heinemeyer, S., Heinrich, G., Herrero, M., Herzog, F., Hespel, B., Hirschi, V., Hoeche, S., Honeywell, S., Huber, S. J., Hugonie, C., Huston, Joey, Ilnicka, A., Isidori, G., Jäger, B., Jaquier, M., Jones, S. P., Juste, A., Kallweit, S., Kaluza, A., Kardos, A., Karlberg, A.T., Kassabov, Zahari, Kauer, N., Kazakov, D. I., Kerner, M., Kilian, W., Kling, M.F., Köneke, K., Kogler, R., Konoplich, R., Kortner, S., Kraml, S., Krause, C., Krauss, F., Krawczyk, P.M., Kulesza, Anna, Kuttimalai, S., Lane, R., Lazopoulos, A., Lee, W.G., Lenzi, P., Lewis, I. M., Li, Y., Liebler, S., van Lindert, E.J., Liu, X., Liu, Z., Llanes-Estrada, F. J., Logan, H. E., Lopez-Val, D., Low, I., Luisoni, G., Maierhöfer, P., Maina, E., Mansoulié, B., Mantler, H., Mantoani, M., Marini, A. C., Outschoorn, V. I. Martinez, Marzani, Simone, Marzocca, D., Massironi, A., Mawatari, K., Mazzitelli, J., McCarn, A., Mellado, B., Melnikov, K., Menari, S. B., Merlo, L., Meyer, C., Milenovic, P., Mimasu, K., Mishima, S., Mistlberger, B., Moch, S. O., Mohammadi, A., Monni, P. F., Montagna, G., Llácer, M. Moreno, Moretti, N., Moretti, S., Motyka, L., Mück, A., Mühlleitner, M., Munir, S., Musella, P., Nadolsky, Pavel, Napoletano, D., Nebot, M., Neu, C., Neubert, R.E.M., Nevzorov, R., Nicrosini, O., Nielsen, J., Nikolopoulos, K., No, J. M., O'Brien, C., Ohl, T., Oleari, C., Orimoto, T. J., Pagani, D., Pandini, C. E., Papaefstathiou, A., Papanastasiou, A. S., Passarino, G., Pecjak, B. D., Pelliccioni, M., Perez, J.G., Perrozzi, Luca, Petriello, F., Petrucciani, G., Pianori, E., Piccinini, F., Pierini, M., Pilkington, A., Plätzer, S., Plehn, T., Podskubka, R., Potter, C. T., Pozzorini, S., Prokofiev, K., Pukhov, A., Puljak, I., Queitsch-Maitland, M., Quevillon, J., Rathlev, D., Rauch, S.A.M., Re, E., Rebelo, M. N., Rebuzzi, D., Reina, L., Reuschle, C., Reuter, J., Riembau, M., Riva, F., Rizzi, A., Robens, T., Röntsch, R., Rojo, J., Romão, J. C., Rompotis, N., Roskes, J., Roth, R., Salam, Gavin P., Salerno, R., Sampaio, M. O. P., Santos, R., Sanz-Nebot, V., Sanz-Cillero, J. J., Sargsyan, H., Sarica, U., Schichtel, P., Schlenk, J., Schmidt, T., Schmitt, C., Schönherr, M., Schubert, U., Schulze, M., Sekula, S. J., Sekulla, M., Shabalina, E., Shao, H. -S., Shelton, J., Shepherd-Themistocleous, C. H., Shim, S. Y., Siegert, F., Signer, A., Da Silva, J.P., Silvestrini, L., Sjodahl, M., Slavich, P., Slawinska, M., Soffi, L., Spannowsky, M., Speckner, C., Sperka, D. M., Spira, M., Stål, O., Staub, F., Stebel, T., Stefaniak, T., Steinhauser, M., Stewart, I. W., Strassler, M. J., Streicher, J., Strom, D. M., Su, S., Sun, X., Tackmann, F. J., Tackmann, K., Teixeira, A. M., Lima, R. Teixeira de, Theeuwes, V., Thorne, R., Tommasini, D., Torrielli, P., Tosi, M., Tramontano, F., Trócsányi, Z., Trott, M., Tsinikos, I., Ubiali, Maria, Vanlaer, P., Verkerke, W., Vicini, A., Viliani, L., Vryonidou, E., Wackeroth, D., Wagner, C. E. M., Wang, J., Wayand, S., Weiglein, G., Weiss, C., Wiesemann, M., Williams, C., Winter, J., Winterbottom, D., Wolf, R., Xiao, S.M., Yang, L. L., Yohay, R., Yuen, S. P. Y., Zanderighi, G., Zaro, M., Zeppenfeld, D., Ziegler, R., Zirke, T., Zupan, J., de Florian, Daniel, fabio, maltoni, Chiara, Mariotti, Nikitento, Aleksandr, Marco, Pieri, Pierre, Savard, and (Astro)-Particles Physics
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High Energy Physics - Phenomenology ,High Energy Physics - Experiment (hep-ex) ,High Energy Physics - Phenomenology (hep-ph) ,hep-ex ,High Energy Physics::Phenomenology ,FOS: Physical sciences ,hep-ph ,High Energy Physics::Experiment ,High Energy Physics - Experiment - Abstract
This Report summarizes the results of the activities of the LHC Higgs Cross Section Working Group in the period 2014-2016. The main goal of the working group was to present the state-of-the-art of Higgs physics at the LHC, integrating all new results that have appeared in the last few years. The first part compiles the most up-to-date predictions of Higgs boson production cross sections and decay branching ratios, parton distribution functions, and off-shell Higgs boson production and interference effects. The second part discusses the recent progress in Higgs effective field theory predictions, followed by the third part on pseudo-observables, simplified template cross section and fiducial cross section measurements, which give the baseline framework for Higgs boson property measurements. The fourth part deals with the beyond the Standard Model predictions of various benchmark scenarios of Minimal Supersymmetric Standard Model, extended scalar sector, Next-to-Minimal Supersymmetric Standard Model and exotic Higgs boson decays. This report follows three previous working-group reports: Handbook of LHC Higgs Cross Sections: 1. Inclusive Observables (CERN-2011-002), Handbook of LHC Higgs Cross Sections: 2. Differential Distributions (CERN-2012-002), and Handbook of LHC Higgs Cross Sections: 3. Higgs properties (CERN-2013-004). The current report serves as the baseline reference for Higgs physics in LHC Run 2 and beyond., Comment: 869 pages, 295 figures, 248 tables and 1645 citations. Working Group web page: https://twiki.cern.ch/twiki/bin/view/LHCPhysics/LHCHXSWG
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- 2016
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17. Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium
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Howat, W.J., Blows, F.M., Provenzano, E., Brook, M.N., Morris, L., Gazinska, P., Johnson, N., McDuffus, L.A., Miller, J., Sawyer, E.J., Pinder, S., van Deurzen, C.H., Jones, L., Sironen, R., Visscher, D., Caldas, C., Daley, F., Coulson, P., Broeks, A., Sanders, J., Wesseling, J., Nevanlinna, H., Fagerholm, R., Blomqvist, C., Heikkilä, P., Ali, H.R., Dawson, S.J., Figueroa, J., Lissowska, J., Brinton, L., Mannermaa, A., Kataja, V., Kosma, V.M., Cox, A., Brock, I.W., Cross, S.S., Reed, M.W., Couch, F.J., Olson, J.E., Devillee, P., Mesker, W.E., Seyaneve, C.M., Hollestelle, A., Benitez, J., Perez, J.I., Menéndez, P., Bolla, M.K., Easton, D.F., Schmidt, M.K., Pharoah, P.D., Sherman, M.E., García-Closas, M., Caldas, Carlos [0000-0003-3547-1489], Ali, Raza [0000-0001-7587-0906], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Department of Obstetrics and Gynecology, Clinicum, University of Helsinki, Department of Oncology, Department of Pathology, Medicum, Pathology, and Medical Oncology
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tissue microarrays ,SDG 3 - Good Health and Well-being ,3123 Gynaecology and paediatrics ,3122 Cancers ,automated scoring ,immunohistochemistry ,Original Article ,Original Articles ,breast tumours ,digital pathology - Abstract
Breast cancer risk factors and clinical outcomes vary by tumour marker expression. However, individual studies often lack the power required to assess these relationships, and large-scale analyses are limited by the need for high throughput, standardized scoring methods. To address these limitations, we assessed whether automated image analysis of immunohistochemically stained tissue microarrays can permit rapid, standardized scoring of tumour markers from multiple studies. Tissue microarray sections prepared in nine studies containing 20 263 cores from 8267 breast cancers stained for two nuclear (oestrogen receptor, progesterone receptor), two membranous (human epidermal growth factor receptor 2 and epidermal growth factor receptor) and one cytoplasmic (cytokeratin 5/6) marker were scanned as digital images. Automated algorithms were used to score markers in tumour cells using the Ariol system. We compared automated scores against visual reads, and their associations with breast cancer survival. Approximately 65–70% of tissue microarray cores were satisfactory for scoring. Among satisfactory cores, agreement between dichotomous automated and visual scores was highest for oestrogen receptor (Kappa = 0.76), followed by human epidermal growth factor receptor 2 (Kappa = 0.69) and progesterone receptor (Kappa = 0.67). Automated quantitative scores for these markers were associated with hazard ratios for breast cancer mortality in a dose-response manner. Considering visual scores of epidermal growth factor receptor or cytokeratin 5/6 as the reference, automated scoring achieved excellent negative predictive value (96–98%), but yielded many false positives (positive predictive value = 30–32%). For all markers, we observed substantial heterogeneity in automated scoring performance across tissue microarrays. Automated analysis is a potentially useful tool for large-scale, quantitative scoring of immunohistochemically stained tissue microarrays available in consortia. However, continued optimization, rigorous marker-specific quality control measures and standardization of tissue microarray designs, staining and scoring protocols is needed to enhance results.
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- 2015
18. How to catch red foxes red handed: Identifying predation of freshwater turtles and nests
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Dawson, S.J., Crawford, H.M., Huston, R.M., Adams, P.J., Fleming, P.A., Dawson, S.J., Crawford, H.M., Huston, R.M., Adams, P.J., and Fleming, P.A.
- Abstract
Context. Predation is one of the key contributors to mortality in freshwater turtles. Confirming the identity of predators is an important step towards conservation management action. Throughout Australia, the red fox (Vulpes vulpes) is suspected to apply significant and unsustainable predation pressure to turtle populations, killing adults and depredating nests; however methods for confirming this are limited. Aims. The present study used a range of methods to confirm predation of oblong turtle (Chelodina colliei) nests and adults by the introduced red fox. Methods. First, depredated adult carapaces, and turtle egg-shell fragments from excavated nests were swabbed and analysed for trace DNA. Second, we used artificial turtle nests, monitored by camera traps, to analyse seasonal changes in the behaviour of foxes around sites where turtle nests are present, including over the nesting season. Last, we used scat analysis to identify the prevalence of turtle remains in fox diet. Key results. Predominantly fox DNA was recovered from both adult carapaces and depredated eggs. In addition, camera traps recorded only foxes depredating artificial nests. Despite this evidence that foxes kill adults and excavated nests, we found that turtle remains were only a small part of the diet of foxes at this study site (hatchling or turtle egg shell were present in only 4% of 230 scats sampled). The diet of these foxes was largely anthropogenic-sourced foods, such as fruit (e.g. figs, grapes, melons; 81% of scats), sheep carrion (41%) and rodents (36%). Conclusions. We conclude that DNA analysis, camera trapping and scat analysis are effective methods of identifying foxes as predators of adult turtle, and their nests. Furthermore, we found that anthropogenic foods (orchard crops, livestock or synanthropic species) may subsidise greater fox population size than might occur in their absence, thereby increasing potential pressure on these freshwater turtles. Implications. Our findings give
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- 2016
19. The biological basis for autosomal dominant nonsyndromic hearing loss, DFNA15: expression, DNA binding and transcription properties
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Avraham, K.B., Khare, S.L., Xiang, M., Dawson, S.J., and Weiss, S.
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Genetic research -- Analysis ,Human genetics -- Research ,Hearing loss -- Genetic aspects ,Biological sciences - Published
- 2000
20. Identifying changes in mutational dynamics in patients with early breast cancer undergoing neoadjuvant chemotherapy
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Sammut, S.J., primary, Chin, S.F., additional, Rueda, O.M., additional, Dawson, S.J., additional, Callari, M., additional, Provenzano, E., additional, Abraham, J., additional, Hughes-Davies, L., additional, Earl, H., additional, and Caldas, C., additional
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- 2016
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21. Common Breast Cancer Susceptibility Loci Are Associated with Triple-Negative Breast Cancer
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Stevens, K.N., Vachon, C.M., Lee, A.M., Slager, S., Lesnick, T., Olswold, C., Fasching, P.A., Miron, P., Eccles, D., Carpenter, J.E., Godwin, A.K., Ambrosone, C., Winqvist, R., Brauch, H., Schmidt, M.K., Cox, A., Cross, S.S., Sawyer, E., Hartmann, A., Beckmann, M.W., Schulz-Wendtland, R., Ekici, A.B., Tapper, W.J., Gerty, S.M., Durcan, L., Graham, N., Hein, R., Nickels, S., Flesch-Janys, D., Heinz, J., Sinn, H.P., Konstantopoulou, I., Fostira, F., Pectasides, D., Dimopoulos, A.M., Fountzilas, G., Clarke, C.L., Balleine, R., Olson, J.E., Fredericksen, Z., Diasio, R.B., Pathak, H., Ross, E., Weaver, J., Rudiger, T., Forsti, A., Dunnebier, T., Ademuyiwa, F., Kulkarni, S., Pylkas, K., Jukkola-Vuorinen, A., Ko, Y.D., Van Limbergen, E., Janssen, H., Peto, J., Fletcher, O., Giles, G.G, Baglietto, L., Verhoef, S., Tomlinson, I., Kosma, V.M., Beesley, J., Greco, D., Blomqvist, C., Irwanto, A., Liu, J., Blows, F.M., Dawson, S.J., Margolin, S., Mannermaa, A., Martin, N.G., Montgomery, G.W., Lambrechts, D., Silva, I.D., Severi, G., Hamann, U., Pharoah, P., Easton, D.F., Chang-Claude, J., Yannoukakos, D., Nevanlinna, H., Wang, X.S., Couch, F.J., and Consortium, GENICA.
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skin and connective tissue diseases - Abstract
Triple-negative breast cancers are an aggressive subtype of breast cancer with poor survival, but there remains little known about the etiologic factors that promote its initiation and development. Commonly inherited breast cancer risk factors identified through genome-wide association studies display heterogeneity of effect among breast cancer subtypes as defined by the status of estrogen and progesterone receptors. In the Triple Negative Breast Cancer Consortium (TNBCC), 22 common breast cancer susceptibility variants were investigated in 2,980 Caucasian women with triple-negative breast cancer and 4,978 healthy controls. We identified six single-nucleotide polymorphisms, including rs2046210 (ESR1), rs12662670 (ESR1), rs3803662 (TOX3), rs999737 (RAD51L1), rs8170 (19p13.1), and rs8100241 (19p13.1), significantly associated with the risk of triple-negative breast cancer. Together, our results provide convincing evidence of genetic susceptibility for triple-negative breast cancer.
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- 2011
22. Subtyping of Breast Cancer by Immunohistochemistry to\ud Investigate a Relationship between Subtype and Short\ud and Long Term Survival: A Collaborative Analysis of Data\ud for 10,159 Cases from 12 Studies
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Blows, F.M., Driver, K.E., Schmidt, M.K., Broeks, A., van Leeuwen, F.E., Wesseling, J., Cheang, M.C., Gelmon, K., Nielsen, T.O., Blomqvist, C., Heikkila, P., Heikkinen, T., Nevanlinna, H., Akslen, L.A., Begin, L.R., Foulkes, W.D., Couch, F.J., Wang, X., Cafourek, V., Olson, J.E., Baglietto, L., Giles, G.G., Severi, G., McLean, C.A., Southey, M.C., Rakha, E., Green, A.R., Ellis, I.O., Sherman, M.E., Lissowska, J., Anderson, W.F., Cox, A., Cross, S.S., Reed, M.W.R., Provenzano, E., Dawson, S.J., Dunning, A.M., Humphreys, M., Easton, D.F., Garcia-Closas, M., Caldas, C., Pharoah, P.D., and Huntsman, D.
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skin and connective tissue diseases - Abstract
Background: Immunohistochemical markers are often used to classify breast cancer into subtypes that are biologically\ud distinct and behave differently. The aim of this study was to estimate mortality for patients with the major subtypes of\ud breast cancer as classified using five immunohistochemical markers, to investigate patterns of mortality over time, and to\ud test for heterogeneity by subtype.\ud Methods and Findings: We pooled data from more than 10,000 cases of invasive breast cancer from 12 studies that had\ud collected information on hormone receptor status, human epidermal growth factor receptor-2 (HER2) status, and at least\ud one basal marker (cytokeratin [CK]5/6 or epidermal growth factor receptor [EGFR]) together with survival time data.\ud Tumours were classified as luminal and nonluminal tumours according to hormone receptor expression. These two groups\ud were further subdivided according to expression of HER2, and finally, the luminal and nonluminal HER2-negative tumours\ud were categorised according to expression of basal markers. Changes in mortality rates over time differed by subtype. In\ud women with luminal HER2-negative subtypes, mortality rates were constant over time, whereas mortality rates associated\ud with the luminal HER2-positive and nonluminal subtypes tended to peak within 5 y of diagnosis and then decline over time.\ud In the first 5 y after diagnosis the nonluminal tumours were associated with a poorer prognosis, but over longer follow-up\ud times the prognosis was poorer in the luminal subtypes, with the worst prognosis at 15 y being in the luminal HER2-positive\ud tumours. Basal marker expression distinguished the HER2-negative luminal and nonluminal tumours into different subtypes.\ud These patterns were independent of any systemic adjuvant therapy.\ud Conclusions: The six subtypes of breast cancer defined by expression of five markers show distinct behaviours with\ud important differences in short term and long term prognosis. Application of these markers in the clinical setting could have\ud the potential to improve the targeting of adjuvant chemotherapy to those most likely to benefit. The different patterns of\ud mortality over time also suggest important biological differences between the subtypes that may result in differences in\ud response to specific therapies, and that stratification of breast cancers by clinically relevant subtypes in clinical trials is\ud urgently required.
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- 2010
23. Environmental factors influence nest excavation by foxes
- Author
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Dawson, S.J., Adams, P.J., Huston, R.M., Fleming, P.A., Dawson, S.J., Adams, P.J., Huston, R.M., and Fleming, P.A.
- Abstract
Predation rates of freshwater turtle nests can vary markedly, suggesting that in addition to different suites of predators present, environmental factors (e.g. vegetation characteristics, distance to water/clearing and rainfall) also influence survival of turtle nests. Understanding the influence of environmental factors on nest success can aid turtle conservation through successful management of nesting habitat. This study simultaneously investigated the effect of multiple factors on artificial nest survivorship at a site where oblong turtles Chelodina colliei were present. Over a 12-month period, we monitored the fate of 580 artificial nests installed as 145 nest-sets, each having one of four treatments: (1) two chicken eggs (E) buried and the ground sprayed with water from a turtle pond (S) (E+S+), (2) two chicken eggs (E+S-), (3) nest sprayed (E-S+) and (4) hole dug and refilled (E-S-). Seven environmental factors were recorded for each site and nests. Nests were monitored for 2 months after installation, by which time, 46% of the nests had been excavated. Depredation rate was affected by both the presence of eggs (P<0.001) and being sprayed with turtle pond water (P=0.005); but we found that even 38% of empty nests (holes simply dug and refilled) were excavated. Nest excavation was more likely for more obvious nests located in areas with more sparse vegetation (P<0.05) closer to the shoreline (P<0.01). Excavation rates were highest immediately after installation, but continued for the duration of the monitoring period. The introduced red fox Vulpes vulpes was identified as the only predator observed on cameras for a subset of 60 nest-sets. In conclusion, foxes use both visual and olfactory cues to locate nests, and environmental conditions at the nest site significantly influence the fate of the nests.
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- 2014
24. 857 - Identifying changes in mutational dynamics in patients with early breast cancer undergoing neoadjuvant chemotherapy
- Author
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Sammut, S.J., Chin, S.F., Rueda, O.M., Dawson, S.J., Callari, M., Provenzano, E., Abraham, J., Hughes-Davies, L., Earl, H., and Caldas, C.
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- 2016
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25. E-learning module for delivering infection prevention and control training
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Dawson, S.J., primary, Bennett, H., additional, and Ongley, V., additional
- Published
- 2010
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26. Triple negative breast cancers: Clinical and prognostic implications
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Dawson, S.J., primary, Provenzano, E., additional, and Caldas, C., additional
- Published
- 2009
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27. Risk of MRSA transmission from tourniquets
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Ormerod, J.O.M., primary, Williams, J., additional, Lewis, J., additional, and Dawson, S.J., additional
- Published
- 2006
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28. Evaluation of a hand hygiene programme on an intensive care unit
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Dawson, S.J., primary, Forrest, H., additional, and Greenaway, A., additional
- Published
- 2005
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29. Preoperative screening of elective orthopaedic patients for MRSA
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El-Zimaity, D, primary, Dawson, S.J, additional, Barrett, S, additional, and Moseley, E, additional
- Published
- 2004
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- View/download PDF
30. Smart pigs assess reliability of corroded pipelines
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Jones, D.G., Dawson, S.J., and Brown, M.
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Pipe lines -- Maintenance and repair ,Corrosion and anti-corrosives -- Evaluation ,Business ,Petroleum, energy and mining industries - Abstract
High-resolution, magnetic pigs are increasingly being used by pipeline operators to detect corrosion in onshore and offshore pipelines. This assessment tool is better than hydrostatic pressure testing because the latter methodology cannot offer an accurate assessment of the future integrity of corroded pipelines. Smart pigs can detect, locate and quantify pipeline corrosion with great precision.
- Published
- 1995
31. Environmental contamination due to methicillin-resistant Staphylococcus aureus (MRSA)
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Blythe, D., primary, Keenlyside, D., additional, Dawson, S.J., additional, and Galloway, A., additional
- Published
- 1998
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32. Screening for EMRSA-16 in healthcare workers
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Dawson, S.J., primary, Barnett, J., additional, Perry, C., additional, Jones, E.M., additional, MacGowan, A.P., additional, and Reeves, D.S., additional
- Published
- 1997
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33. Therapeutic Monitoring, the Concentration-Effect Relationship and Impact on the Clinical Efficacy of Antibiotic Agents
- Author
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Dawson, S.J., primary and Reeves, D.S., additional
- Published
- 1997
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- View/download PDF
34. Mupirocin-resistant MRSA
- Author
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Dawson, S.J., primary, Finn, L.F., additional, McCulloch, J.E., additional, Kilvington, S., additional, and Lewis, D.A., additional
- Published
- 1994
- Full Text
- View/download PDF
35. Magnetic interactions in giant magnetoresistive Co-Ag heterogeneous films
- Author
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Thompson, S.M., primary, Gregg, J.F., additional, Dawson, S.J., additional, Staddon, C.R., additional, Ounadjela, K., additional, Hammann, J., additional, and Fermon, C., additional
- Published
- 1994
- Full Text
- View/download PDF
36. The two allele sequences of a common polymorphism in the promoter of the plasminogen activator inhibitor-1 (PAI-1) gene respond differently to interleukin-1 in HepG2 cells
- Author
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Dawson, S.J., primary, Wiman, B., additional, Hamsten, A., additional, Green, F., additional, Humphries, S., additional, and Henney, A.M., additional
- Published
- 1993
- Full Text
- View/download PDF
37. ‘Onion skin’ domains in a relaxing metastable antiferromagnet
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Dawson, S.J., primary, Gregg, J.F., additional, Lord, J.S., additional, Wells, M.R., additional, and Wolf, W.P., additional
- Published
- 1992
- Full Text
- View/download PDF
38. Relaxation dynamics of metastable antiferromagnetic states
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Dawson, S.J., primary, Gregg, J.F., additional, Lord, J.S., additional, Morris, I.D., additional, Pfeffer, J.Z., additional, Wells, M.R., additional, and Wolf, W.P., additional
- Published
- 1990
- Full Text
- View/download PDF
39. This letter was shown to Dr Dawson, whose reply follows
- Author
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Dawson, S.J.
- Published
- 1996
- Full Text
- View/download PDF
40. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
- Author
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Jing Hua Zhao, Vilmundur Gudnason, Robin Haring, Enda M. Byrne, Christian Gieger, Marek Zygmunt, Lude Franke, Peter Kraft, Eric Boerwinkle, Matthias W. Beckmann, Catharina A. Hartman, Thorkild I. A. Sørensen, Aida Karina Dieffenbach, André G. Uitterlinden, Grant W. Montgomery, Graham G. Giles, Felix R. Day, Anja Rudolph, Arto Mannermaa, Sven Bergmann, Nora Franceschini, Julian Peto, Ellen W. Demerath, Diana L. Cousminer, Wei Ang, Gudmar Thorleifsson, Patrick F. McArdle, Dieter Flesch-Janys, Albertine J. Oldehinkel, Irene L. Andrulis, Aarno Palotie, Nicholas J. Timpson, Paolo Peterlongo, Johan G. Eriksson, Bernardo Bonanni, Dorret I. Boomsma, J. Margriet Collée, Immaculata De Vivo, Bjarke Feenstra, Teresa Ferreira, Cornelia M. van Duijn, Nancy L. Pedersen, Deborah J. Thompson, Peter Vollenweider, Douglas F. Easton, Pascal Guénel, Anna Maria Storniolo, Erik Ingelsson, Gisli Masson, Annika Lindblom, Stefania Bandinelli, Elisabeth Widen, Doris Stöckl, Veikko Salomaa, Zoltán Kutalik, Nicholas J. Wareham, Joanne M. Murabito, Eleonora Porcu, Fergus J. Couch, Katri Pylkäs, Luigi Ferrucci, Wendy L. McArdle, Frank Geller, Andrea D. Coviello, Lynda M. Rose, Daniel L. Koller, Ute Hamann, Ulla Sovio, Daniel F. Gudbjartsson, Georgia Chenevix-Trench, Roger L. Milne, Unnur Thorsteinsdottir, Paul M. Ridker, Henry Völzke, John R. B. Perry, Stephen J. Chanock, Tanguy Corre, Mads Melbye, Ben A. Oostra, Albert V. Smith, Tõnu Esko, Melissa E. Garcia, Debbie A Lawlor, Meir J. Stampfer, Per Hall, Patrick Sulem, Massimo Mangino, Nicholas G. Martin, David J. Hunter, Laura Crisponi, Tatiana Foroud, Antonietta Robino, Michael J. Econs, Susan M. Ring, Natalia Tšernikova, Dirkje S. Postma, Lavinia Paternoster, Peter A. Fasching, Tamara B. Harris, Ellen A. Nohr, Javier Benitez, Ruth J. F. Loos, Robert Winqvist, Andres Metspalu, Jenny A. Visser, Heather A. Boyd, Jonathan Tyrer, Alexander Teumer, Tim D. Spector, Sandra Lai, Douglas P. Kiel, Kamila Czene, Hiltrud Brauch, George Davey Smith, Julia A. Knight, Erin K. Wagner, Suiqun Guo, Tune H. Pers, Patrik K. E. Magnusson, Kathryn L. Lunetta, Hoda Anton-Culver, Marjanka K. Schmidt, George McMahon, Ken K. Ong, Adamo Pio D'Adamo, Veli-Matti Kosma, Jinhui Chen, Paul D.P. Pharoah, Diether Lambrechts, Femke Atsma, Serena Sanna, Ilja M. Nolte, Eco de Geus, Daniel I. Chasman, Emmi Tikkanen, John L. Hopper, Anna Murray, Laura M. Yerges-Armstrong, Sanela Kjellqvist, Eva Albrecht, Hermann Brenner, Paolo Gasparini, Bruce H. R. Wolffenbuttel, Alison M. Dunning, John P. Rice, Craig E. Pennell, Mark I. McCarthy, Andrea Ganna, Henri Wallaschofski, Frank B. Hu, Gérard Waeber, Henrik Flyger, Evelin Mihailov, Peter Devilee, Lisette Stolk, Behrooz Z. Alizadeh, Jouke-Jan Hottenga, Najaf Amin, Patrick Neven, Reedik Mägi, Kyriaki Michailidou, Kari Stefansson, Munro Peacock, Julie E. Buring, Laura J. Bierut, Cathy E. Elks, Marjo-Riitta Järvelin, Montserrat Garcia-Closas, Anneli Pouta, David Schlessinger, Harold Snieder, Chunyan He, Joe Dennis, Heli Nevanlinna, Gonneke Willemsen, Andrew C. Heath, Elizabeth A. Streeten, Albert Hofman, Angela Cox, Maartje J. Hooning, Lili Milani, Margaret J. Wright, Fernando Rivadeneira, Gudny Eiriksdottir, Mellissa C. Southey, Qin Wang, Paolo Radice, Manjeet K. Bolla, Kay-Tee Khaw, Carl Blomqvist, Melanie Waldenberger, Sheila Ulivi, David Couper, Jenny Chang-Claude, David Karasik, Stig E. Bojesen, Andrew D. Johnson, David P. Strachan, Perry, John [0000-0001-6483-3771], Day, Felix [0000-0003-3789-7651], Thompson, Deborah [0000-0003-1465-5799], Zhao, Jing Hua [0000-0003-4930-3582], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Pharoah, Paul [0000-0001-8494-732X], Sovio, Ulla [0000-0002-0799-1105], Tyrer, Jonathan [0000-0003-3724-4757], Wang, Jean [0000-0002-9139-0627], Khaw, Kay-Tee [0000-0002-8802-2903], Wareham, Nicholas [0000-0003-1422-2993], Easton, Douglas [0000-0003-2444-3247], Ong, Kenneth [0000-0003-4689-7530], Apollo - University of Cambridge Repository, Australian Ovarian Cancer Study, GENICA Network, kConFab, LifeLines Cohort Study, InterAct Consortium, Early Growth Genetics (EGG) Consortium, Cousminer, D.L., Stergiakouli, E., Berry, D.J., Ang, W., Groen-Blokhuis, M.M., Körner, A., Siitonen, N., Ntalla, I., Marinelli, M., Perry, J.R., Kettunen, J., Jansen, R., Surakka, I., Timpson, N.J., Ring, S., McMahon, G., Power, C., Wang, C., Kähönen, M., Viikari, J., Lehtimäki, T., Middeldorp, C.M., Hulshoff Pol, H.E., Neef, M., Weise, S., Pahkala, K., Niinikoski, H., Zeggini, E., Panoutsopoulou, K., Bustamante, M., Penninx, B.W., Murabito, J., Torrent, M., Dedoussis, G.V., Kiess, W., Boomsma, D.I., Pennell, C.E., Raitakari, O.T., Hyppönen, E., Davey Smith, G., Ripatti, S., McCarthy, M.I., Widén, E., Alizadeh, B.Z., de Boer, R.A., Boezen, H.M., Bruinenberg, M., Franke, L., van der Harst, P., Hillege, H.L., van der Klauw, M.M., Navis, G., Ormel, J., Postma, D., Rosmalen, J.G., Slaets, J.P., Snieder, H., Stolk, R.P., Wolffenbuttel, B.H., Wijmenga, C., Forouhi, N., Kerrison, N.D., Langenberg, C., Scott, R.A., Sharp, S.J., Sims, M., Barroso, I., Deloukas, P., Arriola, L., Balkau, B., Barricarte, A., Boeing, H., Franks, P.W., Gonzalez, C., Grioni, S., Kaaks, R., Key, T.J., Navarro, C., Nilsson, P.M., Overvad, K., Palli, D., Panico, S., Quirós, J., Rolandsson, O., Sacerdote, C., Sánchez, M.J., Slimani, N., Tjonneland, A., Tumino, R., van der A, D.L., van der Schouw, Y.T., Riboli, E., Wareham, N.J., Bowtell, D.D., Green, A., Chenevix-Trench, G., deFazio, A., Gertig, D., Webb, P.M., Brauch, H., Justenhoven, C., Hamann, U., Ko, Y.D., Baisch, C., Fischer, H.P., Pesch, B., Rabstein, S., Spickenheuer, A., Harth, V., Aghmesheh, M., Amor, D., Andrews, L., Antill, Y., Armitage, S., Arnold, L., Balleine, R., Bankier, A., Bastick, P., Beesley, J., Beilby, J., Bennett, I., Bennett, B., Berry, G., Blackburn, A., Bogwitz, M., Brennan, M., Brown, M., Buckley, M., Burgess, M., Burke, J., Butow, P., Byron, K., Callen, D., Campbell, I., Chauhan, D., Christian, A., Clarke, C., Colley, A., Cotton, D., Crook, A., Cui, J., Culling, B., Cummings, M., Dawson, S.J., Delatycki, M., Dickson, R., Dixon, J., Dobrovic, A., Dudding, T., Edkins, T., Edwards, S., Eisenbruch, M., Farshid, G., Fawcett, S., Fellows, A., Fenton, G., Field, M., Firgaira, F., Flanagan, J., Fleming, J., Fong, P., Forbes, J., Fox, S., French, J., Friedlander, M., Gaff, C., Gardner, M., Gattas, M., George, P., Giles, G., Gill, G., Goldblatt, J., Greening, S., Grist, S., Eric, H., Hardie, K., Harris, M., Hart, S., Hayward, N., Healey, S., Heiniger, L., Hopper, J., Humphrey, E., Hunt, C., James, P., Jenkins, M., Jones, A., Kefford, R., Kidd, A., Kiely, B., Kirk, J., Koehler, J., Kollias, J., Kovalenko, S., Lakhani, S., Leaming, A., Leary, J., Lim, J., Lindeman, G., Lipton, L., Lobb, L., Mann, G., Marsh, D., McLachlan, S.A., Meiser, B., Meldrum, C., Milne, R., Mitchell, G., Newman, B., O'Connell, S., O'Loughlin, I., Osborne, R., Pachter, N., Patterson, B., Peters, L., Phillips, K., Price, M., Purser, L., Reeve, J., Reeve, T., Richards, R., Rickard, E., Robinson, B., Rudzki, B., Saleh, M., Salisbury, E., Sambrook, J., Saunders, C., Saunus, J., Sayer, R., Scott, E., Scott, R., Scott, C., Seshadri, R., Sexton, A., Sharma, R., Shelling, A., Simpson, P., Southey, M., Spurdle, A., Suthers, G., Sykes, P., Taylor, D., Taylor, J., Thierry, B., Thompson, E., Thorne, H., Townshend, S., Trainer, A., Tran, L., Tucker, K., Tyler, J., Visvader, J., Walker, L., Walpole, I., Waring, P., Warner, B., Warren, G., Williams, R., Wilson, J., Winship, I., Wu, K., Young, M.A., Public Health, Internal Medicine, Epidemiology, Clinical Genetics, Medical Oncology, Child and Adolescent Psychiatry / Psychology, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Research Institute for Asthma and COPD (GRIAC), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Political Science, Perry, John R. B, Day, Felix, Elks, Cathy E, Sulem, Patrick, Thompson, Deborah J, Ferreira, Teresa, He, Chunyan, Chasman, Daniel I, Esko, Tõnu, Thorleifsson, Gudmar, Albrecht, Eva, Ang, Wei Q, Corre, Tanguy, Cousminer, Diana L, Feenstra, Bjarke, Franceschini, Nora, Ganna, Andrea, Johnson, Andrew D, Kjellqvist, Sanela, Lunetta, Kathryn L, Mcmahon, George, Nolte, Ilja M, Paternoster, Lavinia, Porcu, Eleonora, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Tšernikova, Natalia, Tikkanen, Emmi, Ulivi, Sheila, Wagner, Erin K, Amin, Najaf, Bierut, Laura J, Byrne, Enda M, Hottenga, Jouke Jan, Koller, Daniel L, Mangino, Massimo, Pers, Tune H, Yerges Armstrong, Laura M, Hua Zhao, Jing, Andrulis, Irene L, Anton Culver, Hoda, Atsma, Femke, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Buring, Julie E, Chang Claude, Jenny, Chanock, Stephen, Chen, Jinhui, Chenevix Trench, Georgia, Collée, J. 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J, Giles, Graham G, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Guénel, Pascal, Guo, Suiqun, Hall, Per, Hamann, Ute, Haring, Robin, Hartman, Catharina A, Heath, Andrew C, Hofman, Albert, Hooning, Maartje J, Hopper, John L, Hu, Frank B, Hunter, David J, Karasik, David, Kiel, Douglas P, Knight, Julia A, Kosma, Veli Matti, Kutalik, Zoltan, Lai, Sandra, Lambrechts, Diether, Lindblom, Annika, Mägi, Reedik, Magnusson, Patrik K, Mannermaa, Arto, Martin, Nicholas G, Masson, Gisli, Mcardle, Patrick F, Mcardle, Wendy L, Melbye, Mad, Michailidou, Kyriaki, Mihailov, Evelin, Milani, Lili, Milne, Roger L, Nevanlinna, Heli, Neven, Patrick, Nohr, Ellen A, Oldehinkel, Albertine J, Oostra, Ben A, Palotie, Aarno, Peacock, Munro, Pedersen, Nancy L, Peterlongo, Paolo, Peto, Julian, Pharoah, Paul D. P, Postma, Dirkje S, Pouta, Anneli, Pylkäs, Katri, Radice, Paolo, Ring, Susan, Rivadeneira, Fernando, Robino, Antonietta, Rose, Lynda M, Rudolph, Anja, Salomaa, Veikko, Sanna, Serena, Schlessinger, David, Schmidt, Marjanka K, Southey, Mellissa C, Sovio, Ulla, Stampfer, Meir J, Stöckl, Dori, Storniolo, Anna M, Timpson, Nicholas J, Tyrer, Jonathan, Visser, Jenny A, Vollenweider, Peter, Völzke, Henry, Waeber, Gerard, Waldenberger, Melanie, Wallaschofski, Henri, Wang, Qin, Willemsen, Gonneke, Winqvist, Robert, Wolffenbuttel, Bruce H. R, Wright, Margaret J, Boomsma, Dorret I, Econs, Michael J, Khaw, Kay Tee, Loos, Ruth J. F, Mccarthy, Mark I, Montgomery, Grant W, Rice, John P, Streeten, Elizabeth A, Thorsteinsdottir, Unnur, van Duijn, Cornelia M, Alizadeh, Behrooz Z, Bergmann, Sven, Boerwinkle, Eric, Boyd, Heather A, Crisponi, Laura, Gasparini, Paolo, Gieger, Christian, Harris, Tamara B, Ingelsson, Erik, Järvelin, Marjo Riitta, Kraft, Peter, Lawlor, Debbie, Metspalu, Andre, Pennell, Craig E, Ridker, Paul M, Snieder, Harold, Sørensen, Thorkild I. A, Spector, Tim D, Strachan, David P, Uitterlinden, André G, Wareham, Nicholas J, Widen, Elisabeth, Zygmunt, Marek, Murray, Anna, Easton, Douglas F, Stefansson, Kari, Murabito, Joanne M, Ong, Ken K., Panico, Salvatore, Perry, John R. B., Elks, Cathy E., Thompson, Deborah J., Chasman, Daniel I., Ang, Wei Q., Cousminer, Diana L., Johnson, Andrew D., Lunetta, Kathryn L., Nolte, Ilja M., Smith, Albert V., Wagner, Erin K., Bierut, Laura J., Byrne, Enda M., Koller, Daniel L., Pers, Tune H., Yerges Armstrong, Laura M., Zhao, Jing Hua, Andrulis, Irene L., Beckmann, Matthias W., Bojesen, Stig E., Bolla, Manjeet K., Buring, Julie E., Couch, Fergus J., Coviello, Andrea D., D'Adamo, ADAMO PIO, Smith, George Davey, Demerath, Ellen W., Dieffenbach, Aida K., Dunning, Alison M., Eriksson, Johan G., Fasching, Peter A., Garcia, Melissa E., De Geus, Eco E. J., Giles, Graham G., Gudbjartsson, Daniel F., Hartman, Catharina A., Heath, Andrew C., Hooning, Maartje J., Hopper, John L., Hu, Frank B., Hunter, David J., Kiel, Douglas P., Knight, Julia A., Magnusson, Patrik K., Martin, Nicholas G., Mcardle, Patrick F., Mcardle, Wendy L., Milne, Roger L., Nohr, Ellen A., Oldehinkel, Albertine J., Oostra, Ben A., Pedersen, Nancy L., Pharoah, Paul D. P., Postma, Dirkje S., Rose, Lynda M., Schmidt, Marjanka K., Southey, Mellissa C., Stampfer, Meir J., Storniolo, Anna M., Timpson, Nicholas J., Visser, Jenny A., Wolffenbuttel, Bruce H. R., Wright, Margaret J., Boomsma, Dorret I., Econs, Michael J., Loos, Ruth J. F., Mccarthy, Mark I., Montgomery, Grant W., Rice, John P., Streeten, Elizabeth A., Van Duijn, Cornelia M., Alizadeh, Behrooz Z., Boyd, Heather A., Harris, Tamara B., Pennell, Craig E., Ridker, Paul M., Sørensen, Thorkild I. A., Spector, Tim D., Strachan, David P., Uitterlinden, André G., Wareham, Nicholas J., Easton, Douglas F., and Murabito, Joanne M.
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Netherlands Twin Register (NTR) ,Male ,Parents ,CENTRAL PRECOCIOUS PUBERTY ,Genome-wide association study ,Disease ,VARIANTS ,DISEASE ,Body Mass Index ,0302 clinical medicine ,Adolescent ,Age Factors ,Alleles ,Breast Neoplasms/genetics ,Cardiovascular Diseases/genetics ,Child ,Diabetes Mellitus, Type 2/genetics ,Europe/ethnology ,Female ,Genetic Loci/genetics ,Genome-Wide Association Study ,Genomic Imprinting/genetics ,Humans ,Hypothalamo-Hypophyseal System/physiology ,Intercellular Signaling Peptides and Proteins/genetics ,Membrane Proteins/genetics ,Menarche/genetics ,Obesity/genetics ,Ovary/physiology ,Polymorphism, Single Nucleotide/genetics ,Potassium Channels, Tandem Pore Domain/genetics ,Proteins/genetics ,Quantitative Trait Loci/genetics ,Receptors, GABA-B/metabolism ,Receptors, Retinoic Acid/metabolism ,Ribonucleoproteins/genetics ,Intercellular Signaling Peptides and Protein ,Age Factor ,Tandem Pore Domain ,GENE-EXPRESSION ,0303 health sciences ,BREAST-CANCER RISK ,3. Good health ,Ribonucleoproteins ,Cardiovascular Diseases ,Menarche ,Intercellular Signaling Peptides and Proteins ,Science & Technology - Other Topics ,GENICA Network ,Breast Neoplasm ,Type 2 ,Human ,Hypothalamo-Hypophyseal System ,Quantitative Trait Loci ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,REVEALS ,Diabetes Mellitus ,Polymorphism ,METAANALYSIS ,Science & Technology ,ta1184 ,Calcium-Binding Proteins ,Proteins ,HUMAN PREFRONTAL CORTEX ,ta3121 ,ta3123 ,Diabetes Mellitus, Type 2 ,Genetic Loci ,CELLS ,030217 neurology & neurosurgery ,LifeLines Cohort Study ,Potassium Channels ,Receptors, Retinoic Acid ,Retinoic Acid ,Australian Ovarian Cancer Study ,Polymorphism (computer science) ,Cardiovascular Disease ,Receptors ,WIDE ASSOCIATION ,Membrane Protein ,Allele ,2. Zero hunger ,Genetics ,Multidisciplinary ,Single Nucleotide ,Europe ,Multidisciplinary Sciences ,kConFab ,Breast Neoplasms ,Genomic Imprinting ,Membrane Proteins ,Obesity ,Ovary ,Polymorphism, Single Nucleotide ,Potassium Channels, Tandem Pore Domain ,Receptors, GABA-B ,General Science & Technology ,Ubiquitin-Protein Ligases ,Quantitative trait locus ,Biology ,Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18] ,Early Growth Genetics (EGG) Consortium ,030304 developmental biology ,Protein ,GABA-B ,Ribonucleoprotein ,InterAct Consortium ,Genetic architecture ,Parent ,Genomic imprinting - Abstract
Contains fulltext : 136472.pdf (Publisher’s version ) (Closed access) Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 x 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and gamma-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.
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