Title | Failure to detect synergy between variants in transferrin and hemochromatosis and Alzheimer's disease in large cohort. |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Vance E, Murcia JDGonzalez, Miller JB, Staley L, Crane PK, Mukherjee S, Kauwe JSK |
Corporate Authors | Alzheimer's Disease Genetics Consortium(ADGC) |
Journal | Neurobiol Aging |
Volume | 89 |
Pagination | 142.e9-142.e12 |
Date Published | 2020 05 |
ISSN | 1558-1497 |
Keywords | Alzheimer Disease, Cohort Studies, Epistasis, Genetic, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Hemochromatosis, Hemochromatosis Protein, Humans, Negative Results, Oxidative Stress, Risk, Transferrin |
Abstract | Alzheimer's disease (AD) is the most common cause of dementia and, despite decades of effort, there is no effective treatment. In the last decade, many association studies have identified genetic markers that are associated with AD status. Two of these studies suggest that an epistatic interaction between variants rs1049296 in the transferrin (TF) gene and rs1800562 in the homeostatic iron regulator (HFE) gene, commonly known as hemochromatosis, is in genetic association with AD. TF and HFE are involved in the transport and regulation of iron in the brain, and disrupting these processes exacerbates AD pathology through increased neurodegeneration and oxidative stress. However, by using a significantly larger data set from the Alzheimer's Disease Genetics Consortium, we fail to detect an association between TF rs1049296 or HFE rs1800562 with AD risk (TF rs1049296 p = 0.38 and HFE rs1800562 p = 0.40). In addition, logistic regression with an interaction term and a synergy factor analysis both failed to detect epistasis between TF rs1049296 and HFE rs1800562 (SF = 0.94; p = 0.48) in AD cases. Each of these analyses had sufficient statistical power (power > 0.99), suggesting that previously reported associations may be the result of more complex epistatic interactions, genetic heterogeneity, or false-positive associations because of limited sample sizes. |
DOI | 10.1016/j.neurobiolaging.2020.01.013 |
Pubmed Link | https://www.ncbi.nlm.nih.gov/pubmed/32143980?dopt=Abstract |
page_expo | External |
Alternate Journal | Neurobiol Aging |
PubMed ID | 32143980 |
PubMed Central ID | PMC7206870 |
Grant List | U24 AG021886 / AG / NIA NIH HHS / United States U01 AG032984 / AG / NIA NIH HHS / United States U01 AG016976 / AG / NIA NIH HHS / United States K25 AG055620 / AG / NIA NIH HHS / United States U24 AG041689 / AG / NIA NIH HHS / United States RF1 AG054052 / AG / NIA NIH HHS / United States R01 AG042611 / AG / NIA NIH HHS / United States |
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