Xingang Li, Edith Cowan UniversityFollow
Hao Wang, Edith Cowan University
Haifeng Hou, Edith Cowan University
Wei Wang, Edith Cowan UniversityFollow
Hao Wang Orcid: https://orcid.org/0000-0002-1430-1360 Wei Wang Orcid: https://orcid.org/0000-0002-1430-1360
Xingang Li ORCID: 0000-0003-0252-154X
School of Medical and Health Sciences
NHMRC Number : 1112769
Background: Epidemiological studies observing inconsistent associations of telomere length (TL) with ischemic stroke (IS) are susceptible to bias according to reverse causation and residual confounding. We aimed to assess the causal association between TL, IS, and the subtypes of IS, including large artery stroke (LAS), small vessel stroke (SVS), and cardioembolic stroke (CES) by performing a series of two-sample Mendelian randomization (MR) approaches. Methods: Seven single nucleotide polymorphisms (SNPs) were involved as candidate instrumental variables (IVs), summarized from a genome-wide meta-analysis including 37,684 participants of European descent. We analyzed the largest ever genome-wide association studies of stroke in Europe from the MEGASTROKE collaboration with 40,585 stroke cases and 406,111 controls. The weighted median (WM), the penalized weighted median (PWM), the inverse variance weighted (IVW), the penalized inverse variance weighted (PIVW), the robust inverse variance weighted (RIVW), and the Mendelian randomization-Egger (MR-Egger) methods were conducted for the MR analysis to estimate a causal effect and detect the directional pleiotropy. Results: No significant association between genetically determined TL with overall IS, LAS, or CES were found (all p > 0.05). SVS was associated with TL by the RIVW method (odds ratio (OR) = 0.72, 95% confidence interval (CI): 0.54–0.97, p = 0.028), after excluding rs9420907, rs10936599, and rs2736100. Conclusions: By a series of causal inference approaches using SNPs as IVs, no strong evidence to support the causal effect of shorter TL on IS and its subtypes were found.
Li, X. (2020). Heritability enrichment of immunoglobulin G N-glycosylation relevant genes in specific tissues. https://ro.ecu.edu.au/theses/2386
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Multidisciplinary biological approaches to personalised disease diagnosis, prognosis and management