Dataset Information

Frailty Index associates with GRIN2B in two representative samples from the United States and the United Kingdom.

ABSTRACT: The concept of frailty has been used in the clinical and research field for more than two decades. It is usually described as a clinical state of heightened vulnerability to poor resolution of homeostasis after a stressor event, which thereby increases the risk of adverse outcomes, including falls, delirium, disability and mortality. Here we report the results of the first genome-wide association scan and comparative gene ontology analyses where we aimed to identify genes and pathways associated with the deficit model of frailty. We used a discovery-replication design with two independent, nationally representative samples of older adults. The square-root transformed Frailty Index (FI) was the outcome variable, and age and sex were included as covariates. We report one hit exceeding genome-wide significance: the rs6765037 A allele was significantly associated with a decrease in the square-root transformed FI score in the Discovery sample (beta = -0.01958, p = 2.14E-08), without confirmation in the Replication sample. We also report a nominal replication: the rs7134291 A allele was significantly associated with a decrease in the square-root transformed FI score (Discovery sample: beta = -0.01021, p = 1.85E-06, Replication sample: beta = -0.005013, p = 0.03433). These hits represent the KBTBD12 and the GRIN2B genes, respectively. Comparative gene ontology analysis identified the pathways 'Neuropathic pain signalling in dorsal horn neurons' and the 'GPCR-Mediated Nutrient Sensing in Enteroendocrine Cells', exceeding the p = 0.01 significance in both samples, although this result does not survive correction for multiple testing. Considering the crucial role of GRIN2B in brain development, synaptic plasticity and cognition, this gene appears to be a potential candidate to play a role in frailty. In conclusion, we conducted genome-wide association scan and pathway analyses and have identified genes and pathways with potential roles in frailty. However, frailty is a complex condition. Therefore, further research is required to confirm our results and more thoroughly identify relevant biological mechanisms.

SUBMITTER: Mekli K

PROVIDER: S-EPMC6258126 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Frailty Index associates with GRIN2B in two representative samples from the United States and the United Kingdom.

Mekli Krisztina K Stevens Adam A Marshall Alan D AD Arpawong Thalida E TE Phillips Drystan F DF Tampubolon Gindo G Lee Jinkook J Prescott Carol A CA Nazroo James Y JY Pendleton Neil N

PloS one 20181126 11

The concept of frailty has been used in the clinical and research field for more than two decades. It is usually described as a clinical state of heightened vulnerability to poor resolution of homeostasis after a stressor event, which thereby increases the risk of adverse outcomes, including falls, delirium, disability and mortality. Here we report the results of the first genome-wide association scan and comparative gene ontology analyses where we aimed to identify genes and pathways associated ...[more]

PMID: 30475886

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Project description:ObjectiveTo investigate the prospective associations between oral health and progression of physical frailty in older adults.DesignProspective analysis.Setting and participantsData are from the British Regional Heart Study (BRHS) comprising 2137 men aged 71 to 92 years from 24 British towns and the Health, Aging, and Body Composition (HABC) Study of 3075 men and women aged 70 to 79 years.MethodsOral health markers included denture use, tooth count, periodontal disease, self-rated oral health, dry mouth, and perceived difficulty eating. Physical frailty progression after ∼8 years follow-up was determined based on 2 scoring tools: the Fried frailty phenotype (for physical frailty) and the Gill index (for severe frailty). Logistic regression models were conducted to examine the associations between oral health markers and progression to frailty and severe frailty, adjusted for sociodemographic, behavioral, and health-related factors.ResultsAfter full adjustment, progression to frailty was associated with dentition [per each additional tooth, odds ratio (OR) 0.97; 95% CI: 0.95-1.00], <21 teeth with (OR 1.74; 95% CI: 1.02-2.96) or without denture use (OR 2.45; 95% CI 1.15-5.21), and symptoms of dry mouth (OR ≥1.8; 95% CI ≥ 1.06-3.10) in the BRHS cohort. In the HABC Study, progression to frailty was associated with dry mouth (OR 2.62; 95% CI 1.05-6.55), self-reported difficulty eating (OR 2.12; 95% CI 1.28-3.50) and ≥2 cumulative oral health problems (OR 2.29; 95% CI 1.17-4.50). Progression to severe frailty was associated with edentulism (OR 4.44; 95% CI 1.39-14.15) and <21 teeth without dentures after full adjustment.Conclusions and implicationsThese findings indicate that oral health problems, particularly tooth loss and dry mouth, in older adults are associated with progression to frailty in later life. Additional research is needed to determine if interventions aimed at maintaining (or improving) oral health can contribute to reducing the risk, and worsening, of physical frailty in older adults.

Project description:The relevance of race and ethnicity to genetics and medicine has long been a matter of debate. An emerging consensus holds that race and ethnicity are social constructs and thus poor proxies for genetic diversity. The goal of this study was to evaluate the relationship between race, ethnicity, and clinically relevant pharmacogenomic variation in cosmopolitan populations. We studied racially and ethnically diverse cohorts of 65,120 participants from the United States All of Us Research Program (All of Us) and 31,396 participants from the United Kingdom Biobank (UKB). Genome-wide patterns of pharmacogenomic variation-6311 drug response-associated variants for All of Us and 5966 variants for UKB-were analyzed with machine learning classifiers to predict participants' self-identified race and ethnicity. Pharmacogenomic variation predicts race/ethnicity with averages of 92.1% accuracy for All of Us and 94.3% accuracy for UKB. Group-specific prediction accuracies range from 99.0% for the White group in UKB to 92.9% for the Hispanic group in All of Us. Prediction accuracies are substantially lower for individuals who identified with more than one group in All of Us (16.7%) or as Mixed in UKB (70.7%). There are numerous individual pharmacogenomic variants with large allele frequency differences between race/ethnicity groups in both cohorts. Frequency differences for toxicity-associated variants predict hundreds of adverse drug reactions per 1000 treated participants for minority groups in All of Us. Our results indicate that race and ethnicity can be used to stratify pharmacogenomic risk in the US and UK populations and should not be discounted when making treatment decisions. We resolve the contradiction between the results reported here and the orthodoxy of race and ethnicity as non-genetic, social constructs by emphasizing the distinction between global and local patterns of human genetic diversity, and we stress the current and future limitations of race and ethnicity as proxies for pharmacogenomic variation.

Dataset Information

Frailty Index associates with GRIN2B in two representative samples from the United States and the United Kingdom.

Publications

Frailty Index associates with GRIN2B in two representative samples from the United States and the United Kingdom.

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