Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

Jennifer McKinley; Ute Mueller; Peter Atkinson; Ulrich Ofterdinger; Chloe Jackson; Siobhan Cox; Rory Doherty; Damian Fogarty; Vera Pawlowsky-Glahn; Juan José Egozcue

doi:10.1016/j.acags.2020.100024

Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

Jennifer McKinley^*, Ute Mueller, Peter Atkinson, Ulrich Ofterdinger, Chloe Jackson, Siobhan Cox, Rory Doherty, Damian Fogarty, Vera Pawlowsky-Glahn, Juan José Egozcue

^*Corresponding author for this work

School of Natural and Built Environment

Research output: Contribution to journal › Special issue › peer-review

13 Citations (Scopus)

102 Downloads (Pure)

Abstract

This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOA) than would be expected for the average population. The role of As, Cr, Cu, Pb, Sb and Mo was highlighted, which may be linked to anthropogenic sources such as historical industrial sources, atmospheric pollution deposition and brake emissions. Geogenic factors were shown to be important in areas with elevated relative concentrations of naturally occurring potentially toxic elements (PTE).

Original language	English
Article number	1000247
Number of pages	7
Journal	Applied Computing and Geosciences
Volume	6
Early online date	31 Mar 2020
DOIs	https://doi.org/10.1016/j.acags.2020.100024
Publication status	Published - 01 Jun 2020
Event	The 8th International Workshop on Compositional Data Analysis: CoDa Work 2019 - U. Politécnica de Cataluña , Terrassa, Barcelona, Spain Duration: 03 Jun 2019 → 08 Jun 2019 Conference number: 8 https://webs.camins.upc.edu/codawork2019/

Keywords

Geochemistry
chronic kidney disease
uncertain aetiology

ASJC Scopus subject areas

Environmental Chemistry
Environmental Science (miscellaneous)
Health, Toxicology and Mutagenesis
Pollution
Applied Mathematics
Modelling and Simulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.acags.2020.100024Licence: CC BY-NC-ND

Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances
© 2020 Elsevier Ltd. This manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Accepted author manuscript, 967 KBLicence: CC BY-NC-ND

1 Finished

R3977GGY: Trace Element Abundance and Human Epidemiology - The Tellus Case Study<GEOG/PLANNING>
McKinley, J. (PI) & Ofterdinger, U. (CoI)
01/08/2007 → 30/06/2008
Project: Research

1 Invited or keynote talk at national or international conference

Understanding the relationship between Chronic kidney disease, environmental toxins and atmospheric pollutants
McKinley, J. (Invited speaker), Mueller, U. (Contributor) & Fogarty, D. (Contributor)
30 Nov 2022
Activity: Talk or presentation types › Invited or keynote talk at national or international conference

File

Jennifer McKinley
- j.mckinleyqub.acuk
Person: Academic

13 Citations
2 Article
1 Chapter (peer-reviewed)
1 Abstract

Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances
McKinley, J., Mueller, U., Atkinson, P., Ofterdinger, U., Cox, S., Doherty, R., Fogarty, D. & Egozcue, J. J., 17 Jun 2021, Advances in Computational Algorithms and Data Analysis: Festschrift in Honour of Vera Pawlowsky-Glann. Filzmoser, P., Hron, K., Martín-Fernández, J. A. & Palarea-Albaladejo, J. (eds.). 1 ed. Switzerland: Springer, p. 285-302 17 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
Exploring the effects of environmental toxins from air pollution on chronic kidney disease
McKinley, J., Mueller, U., Atkinson, P., Ofterdinger, U., Cox, S., Doherty, R., Fogarty, D., Egozcue, J. J. & Pawlowsky-Glahn, V., 18 Jun 2021, p. 63-70. 8 p.
Research output: Contribution to conference › Abstract › peer-review

Open Access
File
The relationship between historical development and potentially toxic element concentrations in urban soils
McIlwaine, R., Doherty, R., Cox, S. F. & Cave, M., Jan 2017, In: Environmental Pollution . 220, p. 1036-1049 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
49 Citations (Scopus)

835 Downloads (Pure)

Cite this

McKinley, J., Mueller, U., Atkinson, P., Ofterdinger, U., Jackson, C., Cox, S., Doherty, R., Fogarty, D., Pawlowsky-Glahn, V., & Egozcue, J. J. (2020). Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances. Applied Computing and Geosciences, 6, Article 1000247. https://doi.org/10.1016/j.acags.2020.100024

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abstract = "This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOA) than would be expected for the average population. The role of As, Cr, Cu, Pb, Sb and Mo was highlighted, which may be linked to anthropogenic sources such as historical industrial sources, atmospheric pollution deposition and brake emissions. Geogenic factors were shown to be important in areas with elevated relative concentrations of naturally occurring potentially toxic elements (PTE). ",

keywords = "Geochemistry, chronic kidney disease, uncertain aetiology",

author = "Jennifer McKinley and Ute Mueller and Peter Atkinson and Ulrich Ofterdinger and Chloe Jackson and Siobhan Cox and Rory Doherty and Damian Fogarty and Vera Pawlowsky-Glahn and Egozcue, {Juan Jos{\'e}}",

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McKinley, J, Mueller, U, Atkinson, P, Ofterdinger, U, Jackson, C, Cox, S , Doherty, R, Fogarty, D, Pawlowsky-Glahn, V & Egozcue, JJ 2020, 'Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances', Applied Computing and Geosciences, vol. 6, 1000247. https://doi.org/10.1016/j.acags.2020.100024

TY - JOUR

T1 - Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

AU - McKinley, Jennifer

AU - Mueller, Ute

AU - Atkinson, Peter

AU - Ofterdinger, Ulrich

AU - Jackson, Chloe

AU - Cox, Siobhan

AU - Doherty, Rory

AU - Fogarty, Damian

AU - Pawlowsky-Glahn, Vera

AU - Egozcue, Juan José

N1 - Conference code: 8

PY - 2020/6/1

Y1 - 2020/6/1

N2 - This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOA) than would be expected for the average population. The role of As, Cr, Cu, Pb, Sb and Mo was highlighted, which may be linked to anthropogenic sources such as historical industrial sources, atmospheric pollution deposition and brake emissions. Geogenic factors were shown to be important in areas with elevated relative concentrations of naturally occurring potentially toxic elements (PTE).

AB - This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOA) than would be expected for the average population. The role of As, Cr, Cu, Pb, Sb and Mo was highlighted, which may be linked to anthropogenic sources such as historical industrial sources, atmospheric pollution deposition and brake emissions. Geogenic factors were shown to be important in areas with elevated relative concentrations of naturally occurring potentially toxic elements (PTE).

KW - Geochemistry

KW - chronic kidney disease

KW - uncertain aetiology

U2 - 10.1016/j.acags.2020.100024

DO - 10.1016/j.acags.2020.100024

M3 - Special issue

SN - 2590-1974

VL - 6

JO - Applied Computing and Geosciences

JF - Applied Computing and Geosciences

M1 - 1000247

T2 - The 8th International Workshop on Compositional Data Analysis

Y2 - 3 June 2019 through 8 June 2019

ER -

Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Projects

R3977GGY: Trace Element Abundance and Human Epidemiology - The Tellus Case Study<GEOG/PLANNING>

Activities

Understanding the relationship between Chronic kidney disease, environmental toxins and atmospheric pollutants

Profiles

Jennifer McKinley

Research output

Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances

Exploring the effects of environmental toxins from air pollution on chronic kidney disease

The relationship between historical development and potentially toxic element concentrations in urban soils

Cite this