scholarly journals Altered cortical brain structure and increased risk for disease seen decades after perinatal exposure to maternal smoking: A study of 9,000 adults in the UK Biobank

2018 ◽  
Author(s):  
Lauren E. Salminen ◽  
Rand R. Wilcox ◽  
Alyssa H. Zhu ◽  
Brandalyn C. Riedel ◽  
Christopher R. K. Ching ◽  
...  
Keyword(s):  
Brain Structure ◽  
Brain Mri ◽  
Population Based ◽  
Smoke Exposure ◽  
Sensitivity Analyses ◽  
Uk Biobank ◽  
Increased Risk ◽  
Increase Risk ◽  
Sensory Cortices ◽  
The Uk

AbstractSecondhand smoke exposure is a major public health risk that is especially harmful to the developing brain, but it is unclear if early exposure affects brain structure during middle age and older adulthood. Here we analyzed brain MRI data from the UK Biobank in a population-based sample of individuals (ages 44-80) who were exposed (n=2,510) or unexposed (n=6,079) to smoking around birth. We used robust statistical models, including quantile regressions, to test the effect of perinatal smoke exposure (PSE) on cortical surface area (SA), thickness, and subcortical volume. We hypothesized that PSE would be associated with cortical disruption in primary sensory areas compared to unexposed (PSE-) adults. After adjusting for multiple comparisons, SA was significantly lower in the pericalcarine (PCAL), inferior parietal (IPL), and regions of the temporal and frontal cortex of PSE+adults; these abnormalities were associated with increased risk for several diseases, including circulatory and endocrine conditions. Sensitivity analyses conducted in a hold-out group of healthy participants (exposed, n=109, unexposed, n=315) replicated the effect of PSE on SA in the PCAL and IPL. Collectively our results show a negative, long term effect of PSE on sensory cortices that may increase risk for disease later in life.

scholarly journals Altered Cortical Brain Structure and Increased Risk for Disease Seen Decades After Perinatal Exposure to Maternal Smoking: A Study of 9000 Adults in the UK Biobank

2019 ◽  
Vol 29 (12) ◽  
pp. 5217-5233 ◽  
Author(s):  
Lauren E Salminen ◽  
Rand R Wilcox ◽  
Alyssa H Zhu ◽  
Brandalyn C Riedel ◽  
Christopher R K Ching ◽  
...  
Keyword(s):  
Brain Structure ◽  
Brain Mri ◽  
Population Based ◽  
Smoke Exposure ◽  
Sensitivity Analyses ◽  
Uk Biobank ◽  
Increased Risk ◽  
Increase Risk ◽  
Sensory Cortices ◽  
The Uk

Abstract Secondhand smoke exposure is a major public health risk that is especially harmful to the developing brain, but it is unclear if early exposure affects brain structure during middle age and older adulthood. Here we analyzed brain MRI data from the UK Biobank in a population-based sample of individuals (ages 44–80) who were exposed (n = 2510) or unexposed (n = 6079) to smoking around birth. We used robust statistical models, including quantile regressions, to test the effect of perinatal smoke exposure (PSE) on cortical surface area (SA), thickness, and subcortical volumes. We hypothesized that PSE would be associated with cortical disruption in primary sensory areas compared to unexposed (PSE−) adults. After adjusting for multiple comparisons, SA was significantly lower in the pericalcarine (PCAL), inferior parietal (IPL), and regions of the temporal and frontal cortex of PSE+ adults; these abnormalities were associated with increased risk for several diseases, including circulatory and endocrine conditions. Sensitivity analyses conducted in a hold-out group of healthy participants (exposed, n = 109, unexposed, n = 315) replicated the effect of PSE on SA in the PCAL and IPL. Collectively our results show a negative, long term effect of PSE on sensory cortices that may increase risk for disease later in life.

scholarly journals Associations of cigarette smoking with gray and white matter in the UK Biobank

2019 ◽  
Author(s):  
Joshua Gray ◽  
Matthew Thompson ◽  
Chelsie Benca-Bachman ◽  
Max Michael Owens ◽  
Mikela Murphy ◽  
...  
Keyword(s):  
White Matter ◽  
Cigarette Smoking ◽  
Gray Matter ◽  
Brain Structure ◽  
Mean Diffusivity ◽  
Medial Lemniscus ◽  
Uk Biobank ◽  
Matter Volume ◽  
Increased Risk ◽  
The Uk

Chronic cigarette smoking is associated with increased risk for myriad health consequences including cognitive decline and dementia, but research on the link between smoking and brain structure is nascent. We assessed the relationship of cigarette smoking (ever smoked, cigarettes per day, and duration) with gray and white matter using the UK Biobank cohort (gray matter N = 19,615; white matter N = 17,760), adjusting for numerous demographic and health confounders. Ever smoked and duration were associated with smaller total gray matter volume. Ever smoked was associated with reduced volume of the right VIIIa cerebellum, as well as elevated white matter hyperintensity volumes. Smoking duration was associated with reduced total white matter volume. With regard to specific tracts, ever smoked was associated with reduced fractional anisotropy in the left cingulate gyrus part of the cingulum, left posterior thalamic radiation, and bilateral superior thalamic radiation and increased mean diffusivity in the middle cerebellar peduncle, right medial lemniscus, bilateral posterior thalamic radiation, and bilateral superior thalamic radiation. Overall, we found significant associations of cigarette exposure with global measures of gray and white matter. Furthermore, we found select associations of ever smoked, but not cigarettes per day or duration, with specific gray and white matter regions. These findings inform our understanding of the connections between smoking and variation in brain structure and clarify potential mechanisms of risk for common neurological sequelae.

scholarly journals Gout, rheumatoid arthritis and the risk of death from COVID-19: an analysis of the UK Biobank

2020 ◽  
Author(s):  
Ruth K Topless ◽  
Amanda Phipps-Green ◽  
Megan Leask ◽  
Nicola Dalbeth ◽  
Lisa K Stamp ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Population Based ◽  
Data Sets ◽  
Uk Biobank ◽  
Control Cohort ◽  
Risk Of Death ◽  
Increased Risk ◽  
Adjusted Logistic Regression ◽  
The Uk

AbstractObjectiveTo assess whether gout and / or rheumatoid arthritis (RA) are risk factors for coronavirus disease 19 (COVID-19) diagnosis. To assess whether gout and / or RA are risk factors for death from COVID-19.MethodsWe used data from the UK Biobank. Multivariate-adjusted logistic regression was employed in the following analyses. Analysis A: to test for association between gout or RA and COVID-19 diagnosis in a population-based cohort (n=473,139). Analysis B: to test for association between gout or RA and death from COVID-19 in a case-control cohort of people who died or survived with COVID-19 (n=2,073). Analysis C: to test for association with gout or RA and death from COVID-19 in a population-based cohort (n=473,139)ResultsNeither RA nor gout associated with COVID-19 diagnosis in analysis A, nor did RA or gout associate with risk of death in the COVID-19-diagnosed group in analysis B. However RA associated with risk of death from COVID-19 using the population-based cohort in analysis C independent of comorbidities and other measured risk factors (OR=1.8 [95% CI 1.2 ; 2.7]). Gout was not associated with death from COVID-19 in the same population-based analysis (OR=1.2 [95% CI 0.9 ; 1.7]).ConclusionsRA and gout are not risk factors for COVID-19-diagnosis. However RA, but not gout, is a risk factor for death from COVID-19 in a population-based analysis using the UK Biobank. These findings require replication in larger data sets that also allow inclusion of a wider range of factors.Key messagesWhat is already known?Information on the risk of death from COVID-19 for people with gout and rheumatoid arthritis is scarce.What does this study add?In a population-based analysis there is an increased risk of death by COVID-19 for people with rheumatoid arthritis independent of co-morbidities, but not gout.The findings need to be replicated in other datasets where the influence of therapies for RA can be tested.How might this impact on clinical practice?Improved clinical management and treatment for RA patients with COVID-19.

scholarly journals Pleiotropic effects of heterozygosity for the SERPINA1 Z allele in the UK Biobank

2020 ◽  
Author(s):  
Katherine A Fawcett ◽  
Kijoung Song ◽  
Guoqing Qian ◽  
Aliki-Eleni Farmaki ◽  
Richard Packer ◽  
...  
Keyword(s):  
Lung Function ◽  
Rare Condition ◽  
Population Based ◽  
Uk Biobank ◽  
Mineral Density ◽  
Increased Risk ◽  
Alpha 1 Antitrypsin Deficiency ◽  
Alpha 1 Antitrypsin ◽  
The Uk ◽  
Reduced Risk

Homozygosity for the SERPINA1 Z allele causes alpha-1 antitrypsin deficiency, a rare condition that can cause lung and liver disease. However, the effects of Z allele heterozygosity on non-respiratory phenotypes, and on lung function in the general population, remain unclear. We conducted the largest population-based study to date to determine Z allele effects on >2,400 phenotypes using the UK Biobank study (N>303,353). We detected strong associations between heterozygosity and non-respiratory phenotypes including increased height, increased risk of gall bladder disease, reduced risk of heart disease and lower blood pressure, reduced risk of osteoarthritis and reduced bone mineral density, increased risk of headache and enlarged prostate, as well as with blood biomarkers of liver function. Heterozygosity was associated with higher lung function in non-smokers, but smoking appears to abolish this protective effect. Individuals heterozygous for the Z allele may therefore have altered risk of smoking-induced lung disease and other, non-respiratory conditions.

scholarly journals Impact of Genetically Predicted Red Blood Cell Traits on Venous Thromboembolism: Multivariable Mendelian Randomization Study Using UK Biobank

2020 ◽  
Vol 9 (14) ◽  
Author(s):  
Shan Luo ◽  
Shiu Lun Au Yeung ◽  
Verena Zuber ◽  
Stephen Burgess ◽  
Catherine Mary Schooling
Keyword(s):  
Venous Thromboembolism ◽  
General Population ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Mendelian Randomization ◽  
Sensitivity Analyses ◽  
European Ancestry ◽  
Uk Biobank ◽  
Increased Risk ◽  
The Uk

Background Red blood cell (RBC) transfusion and erythropoiesis‐stimulating agent administration are cornerstones of clinical practice, yet concerns exist as to potential increased risk of thrombotic events. This study aims to identify RBC traits most relevant to venous thromboembolism (VTE) and assess their genetically predicted effects on VTE in the general population. Methods and Results We used multivariable mendelian randomization with bayesian model averaging for exposure selection. We obtained genetic variants predicting any of 12 RBC traits from the largest genome‐wide association study of hematological traits (173 480 participants of European ancestry) and applied them to the UK Biobank (265 424 white British participants). We used univariable mendelian randomization methods as sensitivity analyses for validation. Among 265 424 unrelated participants in the UK Biobank, there were 9752 cases of VTE (4490 men and 5262 women). Hemoglobin was selected as the plausible important RBC trait for VTE (marginal inclusion probability=0.91). The best‐fitting model across all RBC traits contained hemoglobin only (posterior probability=0.46). Using the inverse variance–weighted method, genetically predicted hemoglobin was positively associated (odds ratio, 1.21 per g/dL unit of hemoglobin; 95% CI, 1.05–1.41) with VTE. Sensitivity analyses (mendelian randomization–Egger, weighted median, and mendelian randomization pleiotropy residual sum and outlier test) gave consistent estimates. Conclusions Endogenous hemoglobin is the key RBC trait causing VTE, with a detrimental effect in the general population on VTE. Given men have higher hemoglobin than women, this finding may help explain the sexual disparity in VTE rates. The benefits of therapies and other factors that raise hemoglobin need to be weighed against their risks.

scholarly journals Associations between psychiatric disorders, COVID-19 testing probability and COVID-19 testing results: findings from a population-based study

BJPsych Open ◽  
2020 ◽  
Vol 6 (5) ◽  
Author(s):  
Dennis van der Meer ◽  
Justo Pinzón-Espinosa ◽  
Bochao D. Lin ◽  
Joeri K. Tijdink ◽  
Christiaan H. Vinkers ◽  
...  
Keyword(s):  
Psychiatric Disorder ◽  
Psychiatric Disorders ◽  
Population Based ◽  
Sensitivity Analyses ◽  
Test Results ◽  
Uk Biobank ◽  
Full Cohort ◽  
Population Based Study ◽  
Association Analyses ◽  
Increased Risk

Background Many psychiatrists are worried their patients, at increased risk for COVID-19 complications, are precluded from receiving appropriate testing. There is a lack of epidemiological data on the associations between psychiatric disorders and COVID-19 testing rates and testing outcomes. Aims To compare COVID-19 testing probability and results among individuals with psychiatric disorders with those without such diagnoses, and to examine the associations between testing probability and results and psychiatric diagnoses. Method This is a population-based study to perform association analyses of psychiatric disorder diagnoses with COVID-19 testing probability and such test results, by using two-sided Fisher exact tests and logistic regression. The population were UK Biobank participants who had undergone COVID-19 testing. The main outcomes were COVID-19 testing probability and COVID-19 test results. Results Individuals with psychiatric disorders were overrepresented among the 1474 UK Biobank participants with test data: 23% of the COVID-19 test sample had a psychiatric diagnosis compared with 10% in the full cohort (P < 0.0001). This overrepresentation persisted for each of the specific psychiatric disorders tested. Furthermore, individuals with a psychiatric disorder (P = 0.01), particularly substance use disorder (P < 0.005), had negative test results significantly more often than individuals without psychiatric disorders. Sensitivity analyses confirmed our results. Conclusions In contrast with our hypotheses, UK Biobank participants with psychiatric disorders have been tested for COVID-19 more frequently than individuals without a psychiatric history. Among those tested, test outcomes were more frequently negative for registry participants with psychiatric disorders than in others, countering arguments that people with psychiatric disorders are particularly prone to contract the virus.

scholarly journals Smoking paradox in the development of psoriatic arthritis among patients with psoriasis: a population-based study

2017 ◽  
Vol 77 (1) ◽  
pp. 119-123 ◽  
Author(s):  
Uyen-Sa D T Nguyen ◽  
Yuqing Zhang ◽  
Na Lu ◽  
Qiong Louie-Gao ◽  
Jingbo Niu ◽  
...  
Keyword(s):  
Psoriatic Arthritis ◽  
General Population ◽  
Mediation Analysis ◽  
Population Based ◽  
Sensitivity Analyses ◽  
Health Improvement ◽  
Intermediate Variable ◽  
Increased Risk ◽  
The Health Improvement Network ◽  
The Uk

ObjectivesSmoking is associated with an increased risk of psoriatic arthritis (PsA) in the general population, but not among patients with psoriasis. We sought to clarify the possible methodological mechanisms behind this paradox.MethodsUsing 1995–2015 data from The Health Improvement Network, we performed survival analysis to examine the association between smoking and incident PsA in the general population and among patients with psoriasis. We clarified the paradox using mediation analysis and conducted bias sensitivity analyses to evaluate the potential impact of index event bias and quantify its magnitude from uncontrolled/unmeasured confounders.ResultsOf 6.65 million subjects without PsA at baseline, 225 213 participants had psoriasis and 7057 developed incident PsA. Smoking was associated with an increased risk of PsA in the general population (HR 1.27; 95% CI 1.19 to 1.36), but with a decreased risk among patients with psoriasis (HR 0.91; 95% CI 0.84 to 0.99). Mediation analysis showed that the effect of smoking on the risk of PsA was mediated almost entirely through its effect on psoriasis. Bias-sensitivity analyses indicated that even when the relation of uncontrolled confounders to either smoking or PsA was modest (both HRs=~1.5), it could reverse the biased effect of smoking among patients with psoriasis (HR=0.9).ConclusionsIn this large cohort representative of the UK general population, smoking was positively associated with PsA risk in the general population, but negatively associated among patients with psoriasis. Conditioning on a causal intermediate variable (psoriasis) may even reverse the association between smoking and PsA, potentially explaining the smoking paradox for the risk of PsA among patients with psoriasis.

scholarly journals Use of SNP chips to detect rare pathogenic variants: retrospective, population based diagnostic evaluation

BMJ ◽  
2021 ◽  
pp. n214
Author(s):  
Weedon MN ◽  
Jackson L ◽  
Harrison JW ◽  
Ruth KS ◽  
Tyrrell J ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Population Based ◽  
Genome Project ◽  
Personal Genome ◽  
Uk Biobank ◽  
Sequencing Data ◽  
Snp Chip ◽  
Pathogenic Variants ◽  
The Uk

Abstract Objective To determine whether the sensitivity and specificity of SNP chips are adequate for detecting rare pathogenic variants in a clinically unselected population. Design Retrospective, population based diagnostic evaluation. Participants 49 908 people recruited to the UK Biobank with SNP chip and next generation sequencing data, and an additional 21 people who purchased consumer genetic tests and shared their data online via the Personal Genome Project. Main outcome measures Genotyping (that is, identification of the correct DNA base at a specific genomic location) using SNP chips versus sequencing, with results split by frequency of that genotype in the population. Rare pathogenic variants in the BRCA1 and BRCA2 genes were selected as an exemplar for detailed analysis of clinically actionable variants in the UK Biobank, and BRCA related cancers (breast, ovarian, prostate, and pancreatic) were assessed in participants through use of cancer registry data. Results Overall, genotyping using SNP chips performed well compared with sequencing; sensitivity, specificity, positive predictive value, and negative predictive value were all above 99% for 108 574 common variants directly genotyped on the SNP chips and sequenced in the UK Biobank. However, the likelihood of a true positive result decreased dramatically with decreasing variant frequency; for variants that are very rare in the population, with a frequency below 0.001% in UK Biobank, the positive predictive value was very low and only 16% of 4757 heterozygous genotypes from the SNP chips were confirmed with sequencing data. Results were similar for SNP chip data from the Personal Genome Project, and 20/21 individuals analysed had at least one false positive rare pathogenic variant that had been incorrectly genotyped. For pathogenic variants in the BRCA1 and BRCA2 genes, which are individually very rare, the overall performance metrics for the SNP chips versus sequencing in the UK Biobank were: sensitivity 34.6%, specificity 98.3%, positive predictive value 4.2%, and negative predictive value 99.9%. Rates of BRCA related cancers in UK Biobank participants with a positive SNP chip result were similar to those for age matched controls (odds ratio 1.31, 95% confidence interval 0.99 to 1.71) because the vast majority of variants were false positives, whereas sequence positive participants had a significantly increased risk (odds ratio 4.05, 2.72 to 6.03). Conclusions SNP chips are extremely unreliable for genotyping very rare pathogenic variants and should not be used to guide health decisions without validation.

Body mass index and risk of all-cause mortality in normotensive and hypertensive adults: The Rural Chinese Cohort Study

2021 ◽  
pp. 1-25
Author(s):  
Qionggui Zhou ◽  
Xuejiao Liu ◽  
Yang Zhao ◽  
Pei Qin ◽  
Yongcheng Ren ◽  
...  
Keyword(s):  
Cohort Study ◽  
Population Based ◽  
Normal Weight ◽  
Sensitivity Analyses ◽  
Hypertension Status ◽  
Moderation Effect ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Chinese Cohort ◽  
The Impact

Abstract Objective: The impact of baseline hypertension status on the BMI–mortality association is still unclear. We aimed to examine the moderation effect of hypertension on the BMI–mortality association using a rural Chinese cohort. Design: In this cohort study, we investigated the incident of mortality according to different BMI categories by hypertension status. Setting: Longitudinal population-based cohort Participants: 17,262 adults ≥18 years were recruited from July to August of 2013 and July to August of 2014 from a rural area in China. Results: During a median 6-year follow-up, we recorded 1109 deaths (610 with and 499 without hypertension). In adjusted models, as compared with BMI 22-24 kg/m2, with BMI ≤18, 18-20, 20-22, 24-26, 26-28, 28-30 and >30 kg/m2, the HRs (95% CI) for mortality in normotensive participants were 1.92 (1.23-3.00), 1.44 (1.01-2.05), 1.14 (0.82-1.58), 0.96 (0.70-1.31), 0.96 (0.65-1.43), 1.32 (0.81-2.14), and 1.32 (0.74-2.35) respectively, and in hypertensive participants were 1.85 (1.08-3.17), 1.67 (1.17-2.39), 1.29 (0.95-1.75), 1.20 (0.91-1.58), 1.10 (0.83-1.46), 1.10 (0.80-1.52), and 0.61 (0.40-0.94) respectively. The risk of mortality was lower in individuals with hypertension with overweight or obesity versus normal weight, especially in older hypertensives (≥60 years old). Sensitivity analyses gave consistent results for both normotensive and hypertensive participants. Conclusions: Low BMI was significantly associated with increased risk of all-cause mortality regardless of hypertension status in rural Chinese adults, but high BMI decreased the mortality risk among individuals with hypertension, especially in older hypertensives.

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