Dataset Information

Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement.

ABSTRACT: In spite of the potentially groundbreaking environmental sentinel applications, studies of canine cancer data sources are often limited due to undercounting of cancer cases. This source of uncertainty might be further amplified through the process of spatial data aggregation, manifested as part of the modifiable areal unit problem (MAUP). In this study, we explore potential explanatory factors for canine cancer incidence retrieved from the Swiss Canine Cancer Registry (SCCR) in a regression modeling framework. In doing so, we also evaluate differences in statistical performance and associations resulting from a dasymetric refinement of municipal units to their portion of residential land. Our findings document severe underascertainment of cancer cases in the SCCR, which we linked to specific demographic characteristics and reduced use of veterinary care. These explanatory factors result in improved statistical performance when computed using dasymetrically refined units. This suggests that dasymetric mapping should be further tested in geographic correlation studies of canine cancer incidence and in future comparative studies involving human cancers.

SUBMITTER: Boo G

PROVIDER: S-EPMC6399139 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement.

Boo Gianluca G Leyk Stefan S Fabrikant Sara I SI Graf Ramona R Pospischil Andreas A

Frontiers in veterinary science 20190226

In spite of the potentially groundbreaking environmental sentinel applications, studies of canine cancer data sources are often limited due to undercounting of cancer cases. This source of uncertainty might be further amplified through the process of spatial data aggregation, manifested as part of the modifiable areal unit problem (MAUP). In this study, we explore potential explanatory factors for canine cancer incidence retrieved from the Swiss Canine Cancer Registry (SCCR) in a regression mode ...[more]

PMID: 30863753

Similar Datasets

Project description:Background and aimsAgricultural productivity is increasingly being affected by the build-up of salinity in soils and water worldwide. The genetic base of salt-tolerant rice donors being used in breeding is relatively narrow and needs broadening to breed varieties with wider adaptation to salt-affected areas. This study evaluated a large set of rice accessions of diverse origins to identify and characterize novel sources of salt tolerance.MethodsDiversity analysis was performed on 107 germplasm accessions using a genome-wide set of 376 single-nucleotide polymorphism (SNP) markers, along with characterization of allelic diversity at the major quantitative trait locus Saltol Sixty-nine accessions were further evaluated for physiological traits likely associated with responses to salt stress during the seedling stage.Key resultsThree major clusters corresponding to the indica, aus and aromatic subgroups were identified. The largest group was indica, with the salt-tolerant Pokkali accessions in one sub-cluster, while a set of Bangladeshi landraces, including Akundi, Ashfal, Capsule, Chikirampatnai and Kutipatnai, were in a different sub-cluster. A distinct aus group close to indica contained the salt-tolerant landrace Kalarata, while a separate aromatic group closer to japonica rice contained a number of traditional, but salt-sensitive Bangladeshi landraces. These accessions have different alleles at the Saltol locus. Seven landraces - Akundi, Ashfal, Capsule, Chikirampatnai, Jatai Balam, Kalarata and Kutipatnai - accumulated less Na and relatively more K, maintaining a lower Na/K ratio in leaves. They effectively limit sodium transport to the shoot.ConclusionsNew salt-tolerant landraces were identified that are genetically and physiologically distinct from known donors. These landraces can be used to develop better salt-tolerant varieties and could provide new sources of quantitative trait loci/alleles for salt tolerance for use in molecular breeding. The diversity observed within this set and in other donors suggests multiple mechanisms that can be combined for higher salt tolerance.

Dataset Information

Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement.

Publications

Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets