| Title: | Circulating insulin-like growth factor-I and risk of 25 common conditions: outcome-wide analyses in the UK Biobank study |
| Journal: | European Journal of Epidemiology |
| Published: | 8 Nov 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/34746972/ |
| DOI: | https://doi.org/10.1007/s10654-021-00811-y |
| URL: | https://link.springer.com/content/pdf/10.1007/s10654-021-00811-y.pdf |
| Citations: | 7 (6 in last 2 years) as of 8 Aug 2024 |
Publication 4495
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Abstract
While there is strong epidemiological evidence that circulating insulin-like growth factor-I (IGF-I) is associated with a higher risk of several cancers, little is known about its association with non-cancer outcomes. We investigated associations of circulating IGF-I with risk of 25 common conditions, other than cancer, in a large British cohort. Study participants were 318,749 middle-aged adults enrolled in the UK Biobank Study. Serum IGF-I concentration was measured in samples collected at baseline (2006-2010), and re-measured in 12,334 participants after an average of 4.3 years. We followed-up participants over an average of 11.5 years by linking to hospital admissions and mortality registries. Multivariable-adjusted Cox regressions estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between circulating IGF-I and 25 common conditions, using the repeated IGF-I measurements to correct for regression dilution bias. After correction for multiple testing (P < 0.002), IGF-I was positively associated with carpal tunnel syndrome (HR per 5 nmol/l higher concentration = 1.12, 95% CI 1.08-1.16), and inversely associated with varicose veins (0.90, 0.85-0.95), cataracts (0.97, 0.95-0.99), diabetes (0.92, 0.90-0.95), and iron deficiency anaemia (0.90, 0.86-0.93). The associations for cataracts and diabetes attenuated when restricted to cases diagnosed after five or more years of follow-up, suggesting that these associations were likely affected by reverse causality. Higher IGF-I concentration might be associated with the risk for several conditions, but genetic studies are needed to clarify which associations may be causal.</p>
9 Authors
- Keren Papier
- Anika Knuppel
- Aurora Perez-Cornago
- Eleanor L. Watts
- Tammy Y. N. Tong
- Julie A. Schmidt
- Naomi Allen
- Timothy J. Key
- Ruth C. Travis
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