Title |
Associations between Single Nucleotide Polymorphisms in Iron-Related Genes and Iron Status in Multiethnic Populations
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Published in |
PLOS ONE, June 2012
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DOI | 10.1371/journal.pone.0038339 |
Pubmed ID | |
Authors |
Christine E. McLaren, Stela McLachlan, Chad P. Garner, Chris D. Vulpe, Victor R. Gordeuk, John H. Eckfeldt, Paul C. Adams, Ronald T. Acton, Joseph A. Murray, Catherine Leiendecker-Foster, Beverly M. Snively, Lisa F. Barcellos, James D. Cook, Gordon D. McLaren |
Abstract |
The existence of multiple inherited disorders of iron metabolism suggests genetic contributions to iron deficiency. We previously performed a genome-wide association study of iron-related single nucleotide polymorphisms (SNPs) using DNA from white men aged ≥ 25 y and women ≥ 50 y in the Hemochromatosis and Iron Overload Screening (HEIRS) Study with serum ferritin (SF) ≤ 12 µg/L (cases) and controls (SF >100 µg/L in men, SF >50 µg/L in women). We report a follow-up study of white, African-American, Hispanic, and Asian HEIRS participants, analyzed for association between SNPs and eight iron-related outcomes. Three chromosomal regions showed association across multiple populations, including SNPs in the TF and TMPRSS6 genes, and on chromosome 18q21. A novel SNP rs1421312 in TMPRSS6 was associated with serum iron in whites (p = 3.7 × 10(-6)) and replicated in African Americans (p = 0.0012).Twenty SNPs in the TF gene region were associated with total iron-binding capacity in whites (p<4.4 × 10(-5)); six SNPs replicated in other ethnicities (p<0.01). SNP rs10904850 in the CUBN gene on 10p13 was associated with serum iron in African Americans (P = 1.0 × 10(-5)). These results confirm known associations with iron measures and give unique evidence of their role in different ethnicities, suggesting origins in a common founder. |
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Geographical breakdown
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Australia | 1 | 50% |
Demographic breakdown
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
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Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 14 | 22% |
Student > Master | 11 | 17% |
Researcher | 8 | 13% |
Professor | 5 | 8% |
Student > Bachelor | 4 | 6% |
Other | 14 | 22% |
Unknown | 8 | 13% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 16 | 25% |
Agricultural and Biological Sciences | 14 | 22% |
Biochemistry, Genetics and Molecular Biology | 10 | 16% |
Nursing and Health Professions | 3 | 5% |
Immunology and Microbiology | 3 | 5% |
Other | 6 | 9% |
Unknown | 12 | 19% |