Published May 2021 | Version v1
Journal article

Genetic variation and urine cadmium levels: ABCC1 effects in the Strong Heart Family Study

  • 1. Department of Statistics and Operational Research, University of Valencia, Valencia (Spain)
  • 2. Department of Preventive Medicine and Public Health and Microbiology, Universidad Autonoma de Madrid, Madrid, Madrid (Spain)
  • 3. Area of Cardiometabolic and Renal Risk, Institute for Biomedical Research Hospital Clinic of Valencia (INCLIVA), Valencia, Valencia (Spain)
  • 4. Department of Nutrition and Nutrition Research Institute, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC (United States)
  • 5. School of Medicine, University of Alabama at Birmingham, Birmingham, AL (United States)
  • 6. Population Health Program, Texas Biomedical Research Institute, San Antonio, TX (United States)
  • 7. Institute of Chemistry – Analytical Chemistry, Karl-Franzens University of Graz, Graz (Austria)
  • 8. Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC (United States)
  • 9. Department of Internal Medicine, Hospital Clinic of Valencia, University of Valencia, Valencia, Valencia (Spain)
  • 10. Department of Environmental Health Sciences, Columbia University, New York, NY (United States)
  • 11. Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD (United States)
  • 12. Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Madrid (Spain)

Description

Highlights: • Genetic effects are suspected to influence cadmium internal dose. • We used data from 1936 Strong Heart Family Study participants. • The heritability of urine cadmium concentrations was ∼30%. • A QTL on chromosome 16 was associated with urine cadmium levels (LOD score = 3.8). • SNPs in ABCC1 attenuated the maximum linkage peak by a ∼40%. Genetic effects are suspected to influence cadmium internal dose. Our objective was to assess genetic determinants of urine cadmium in American Indian adults participating in the Strong Heart Family Study (SHFS). Urine cadmium levels and genotyped short tandem repeat (STR) markers were available on 1936 SHFS participants. We investigated heritability, including gene-by-sex and smoking interactions, and STR-based quantitative trait locus (QTL) linkage, using a variance-component decomposition approach, which incorporates the genetic information contained in the pedigrees. We also used available single nucleotide polymorphisms (SNPs) from Illumina's Metabochip and custom panel to assess whether promising QTLs associated regions could be attributed to SNPs annotated to specific genes. Median urine cadmium levels were 0.44 μg/g creatinine. The heritability of urine cadmium concentrations was 28%, with no evidence of gene-by-sex or -smoking interaction. We found strong statistical evidence for a genetic locus at chromosome 16 determining urine cadmium concentrations (Logarithm of odds score [LOD] = 3.8). Among the top 20 associated SNPs in this locus, 17 were annotated to ABCC1 (p-values from 0.0002 to 0.02), and attenuated the maximum linkage peak by a ∼40%. Suggestive QTL signals (LOD>1.9) in chromosomes 2, 6, 11, 14, and 19, showed associated SNPs in the genes NDUFA10, PDE10A, PLEKHA7, BAZ1A and CHAF1A, respectively. Our findings support that urinary cadmium levels are heritable and influenced by a QTL on chromosome 16, which was explained by genetic variation in ABCC1. Studies with extended sets of genome-wide markers are needed to confirm these findings and to identify additional metabolism and toxicity pathways for cadmium.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.envpol.2021.116717

Additional details

Identifiers

DOI
10.1016/j.envpol.2021.116717;
PII
S0269749121002979;

Publishing Information

Journal Title
Environmental Pollution (1987)
Journal Volume
276
Journal Page Range
vp.
ISSN
0269-7491
CODEN
ENPOEK

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.