https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Exceptional longevity and polygenic risk for cardiovascular health https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45194 n = 294, 95–106 years; controls: n = 1105, 55–65 years) by assessing their polygenic risk scores (PRS) based on a genome wide association study (GWAS) threshold of p < 5 x 10−5. PRS were constructed using GWAS summary data from two exceptional longevity (EL) analyses and eight cardiovascular-related risk factors (lipids) and disease (myocardial infarction, coronary artery disease, stroke) analyses. A higher genetic risk for exceptional longevity (EL) was significantly associated with longevity in our sample (odds ratio (OR) = 1.19–1.20, p = 0.00804 and 0.00758, respectively). Two cardiovascular health PRS were nominally significant with longevity (HDL cholesterol, triglycerides), with higher PRS associated with EL, but these relationships did not survive correction for multiple testing. In conclusion, ELL individuals did not have significantly lower polygenic risk for the majority of the investigated cardiovascular health traits. Future work in larger cohorts is required to further explore the role of cardiovascular-related genetic variants in EL.]]> Wed 26 Oct 2022 14:27:30 AEDT ]]> Genome-wide significant results identified for plasma apolipoprotein H levels in middle-aged and older adults https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24759 -11). The results were replicated in an independent cohort, the Hunter Community Study (p < 0.002) (n = 313). Conditional and joint analysis (COJO) confirmed the association of the chromosomal 17 region with ApoH levels. The set of independent SNPs identified by COJO explained 23% of the variance. The relationships between the top SNPs and cardiovascular/lipid/cognition measures and diabetes were assessed in Sydney MAS, with suggestive results observed for diabetes and cognitive performance. However, replication of these results in the smaller OATS cohort was not found. This work provides impetus for future research to better understand the contribution of genetics to ApoH levels and its possible impacts on health.]]> Wed 15 Dec 2021 16:09:56 AEDT ]]> Cortical gyrification and sulcal spans in early stage Alzheimer's disease https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15100 Wed 11 Apr 2018 11:36:23 AEST ]]> STROKOG (stroke and cognition consortium): an international consortium to examine the epidemiology, diagnosis, and treatment of neurocognitive disorders in relation to cerebrovascular disease https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34396 Wed 09 Mar 2022 16:03:27 AEDT ]]> Tackling Dementia Together via The Australian Dementia Network (ADNeT): A Summary of Initiatives, Progress and Plans https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54222 Tue 13 Feb 2024 12:11:44 AEDT ]]> Plasma apolipoproteins and physical and cognitive health in very old individuals https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34724 Thu 17 Feb 2022 09:27:08 AEDT ]]> The relationship between cortical sulcal variability and cognitive performance in the elderly https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17996 Sat 24 Mar 2018 07:56:36 AEDT ]]> Genetics of hand grip strength in mid to late life https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21021 N = 2088) and the Sydney Memory and Ageing Study (Sydney MAS, N = 541). Genotyping was undertaken using Affymetrix microarrays with imputation to HapMap2. Analyses were performed using linear regression. No genome-wide significant results were observed in HCS nor were any of the top signals replicated in Sydney MAS. Gene-based analyses in HCS identified two significant genes (ZNF295, C2CD2), but these results were not replicated in Sydney MAS. One out of eight SNPs previously associated with GS, rs550942, located near the CNTF gene, was significantly associated with GS (p = 0.005) in the HCS cohort only. Study differences may explain the lack of consistent results between the studies, including the smaller sample size of the Sydney MAS cohort. Our modest sample size also had limited power to identify variants of small effect. Our results suggest that similar to various other complex traits, many genetic variants of small effect size may influence GS. Future GWAS using larger samples and consistent measures may prove more fruitful at identifying genetic contributors for GS in middle-aged to older adults.]]> Sat 24 Mar 2018 07:50:32 AEDT ]]> Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29335 Sat 24 Mar 2018 07:34:19 AEDT ]]> Plasma protein profiling of mild cognitive impairment and Alzheimer's disease across two independent cohorts https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28945 Sat 24 Mar 2018 07:31:25 AEDT ]]> Predicting the development of mild cognitive impairment: a new use of pattern recognition https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22195 Sat 24 Mar 2018 07:16:25 AEDT ]]> High polygenic risk score for exceptional longevity is associated with a healthy metabolic profile https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50640 Mon 31 Jul 2023 16:34:24 AEST ]]> Review and meta-analysis of genetic polymorphisms associated with exceptional human longevity https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33670 Mon 01 Jul 2019 09:50:58 AEST ]]>