phenomic impact of genetically-determined euthyroid function and molecular differences between thyroid disorders
Clicks: 143
ID: 134284
2018
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
3.0
/100
10 views
10 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Background: The thyroid plays a key role in development and homeostasis, but it has been difficult to establish causality with diseases and phenotypic traits because of several potential confounders. Methods: To determine the causal effect of euthyroid function, we conducted a two-sample Mendelian randomization study of euthyroid thyrotropin (TSH) and free thyroxine (FT4) levels with respect to 2419 traits assessed in 337,199 individuals from UK Biobank. Additionally, we investigated the molecular differences between hypothyroidism and hyperthyroidism using genome-wide data. Results: After multiple testing correction, sixteen traits appear to be affected by genetically-determined euthyroid TSH, including multiple thyroid-related traits, e.g., hypothyroidism (p = 2.39 × 10−17), height (p = 2.76 × 10−10), body fat distribution (impedance of whole body, p = 4.43 × 10−8), pulse rate (p = 2.84 × 10−8), female infertility (p = 4.91 × 10−6), and hearing aid use (p = 7.10 × 10−5). Moreover, we found a consistent genetic correlation between hypothyroidism and hyperthyroidism (rg = 0.45, p = 5.45 × 10−6) with several immune pathways shared between these diseases. Two molecular pathways survived multiple testing correction for specificity to hyperthyroidism, JAK/STAT signaling (p = 1.02 × 10−6) and Rac guanyl-nucleotide exchange factor activity (p = 4.39 × 10−6). Conclusion: Our data shed new light on the inter-individual variability of euthyroid function and the molecular mechanisms of the two thyroid disorders investigated.
| Reference Key |
ravera2018journalphenomic
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Silvia Ravera;Nancy Carrasco;Joel Gelernter;Renato Polimanti |
| Journal | international journal of occupational medicine and environmental health |
| Year | 2018 |
| DOI |
10.3390/jcm7100296
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.