Alcohol consumption and its correlation with medical conditions: a UK Biobank study.

Background: Alcohol consumption has been associated with the occurrence of many health conditions. We analyzed UK Biobank data to explore associations of various conditions to type and amount of alcohol consumed. UK Biobank is a large biomedical database providing information from UK participants, including lifestyle questionnaires and diagnosis data. Methods: Using UK Biobank, we examined the relationship between weekly alcohol consumption, alcohol type and the incidence of eight select conditions. We calculated counts of individuals consuming each type diagnosed with these conditions. To assess the effect of alcohol consumption on each condition's prevalence, we used log-logistic regression models to generate dose-response models for each alcohol type. Results: The alcohol consumed included: red wine (228,439 participants), white wine (188811), beer (182648), spirits (129418), and fortified wine (34598). We observed increased condition prevalence with increasing amounts of alcohol. This was especially seen for chronic obstructive lung disease, cirrhosis of liver, hypertension, gastritis, and type 2 diabetes. Beer consumers showed higher prevalence for most conditions while fortified wine had the largest increases in incidence rates. Only white wine showed decreased incidence for acute myocardial infarction. In general, the prevalence of many conditions was higher among alcohol consumers, particularly for hypertension, 33.8%, compared to 28.6% for non-drinkers. Conclusion: Although many conditions were already prevalent among non-drinkers, participants consuming increasing amounts of alcohol had increased incidence rates for many of the studied conditions. This was especially true for consumers of beer and fortified wine, but also true to a lesser extent for consumers of spirits, red and white wine.

Exploring biorepository donation patterns, experiences, and recommendations: a mixed-methods study among Appalachian adults enrolled in a sugary drink reduction program.

Background: Under-represented subgroups in biomarker research linked to behavioral health trials may impact the promise of precision health. This mixed methods study examines biorepository donations across an Appalachian sample enrolled in a sugary drink reduction intervention trial. Methods: Participants enrolled in the behavioral trial were asked to join an optional biomarker study and were tracked for enrollment and biospecimen returns (stool and/or buccal sample). At 6 months, participants completed a summative interview on decision-making process, experiences collecting samples, and recommendations to encourage biospecimen donation. Return rates were analyzed across demographics (i.e., age, gender, race, education, income, health literacy status, and rurality status) using chi-squares. Qualitative data were content coded with differences compared by biomarker study enrollment and donation choices. Results: Of the 249 invited participants, 171 (61%) enrolled, and 63% (n = 157) returned buccal samples and 49% (n = 122) returned stool samples. Metro residing participants were significantly more likely (56%) to return stool samples compared to non-metro (39%) counterparts [x2(1) = 6.61; p = 0.01]. Buccal sample return had a similar trend, 67 and 57%, respectively for metro vs. non-metro [x2(1) = 2.84; p = 0.09]. An additional trend indicated that older (≥40 years) participants were more likely (55%) to donate stool samples than younger (43%) participants [x2(1) = 3.39; p = 0.07]. No other demographics were significantly associated with biospecimen return. Qualitative data indicated that societal (66-81%) and personal (41-51%) benefits were the most reported reasons for deciding to donate one or both samples, whereas mistrust (3-11%) and negative perceptions of the collection process (44-71%) were cited the most by those who declined one or both samples. Clear instructions (60%) and simple collection kits (73%) were donation facilitators while challenges included difficult stool collection kits (16%) and inconveniently located FedEx centers (16%). Recommendations to encourage future biorepository donation were to clarify benefits to science and others (58%), provide commensurate incentives (25%), explain purpose (19%) and privacy protections (20%), and assure ease in sample collection (19%). Conclusion: Study findings suggest the need for biomarker research awareness campaigns. Researchers planning for future biomarker studies in medically underserved regions, like Appalachia, may be able to apply findings to optimize enrollment.

Long-term changes in frailty and incident type 2 diabetes: A prospective cohort study based on the UK Biobank.

AIMS: To estimate the association between long-term changes in frailty and the risk of incident type 2 diabetes (T2DM) and to evaluate the effect of preventing the worsening of frailty on the risk of T2DM. METHODS: We included 348 205 participants free of baseline T2DM and with frailty phenotype (FP) data from the UK Biobank; among them, 36 175 had at least one follow-up assessment. According to their FP score, participants were grouped into nonfrailty, prefrailty and frailty groups. Frailty assessed at baseline and at follow-up was used to derive the trajectory of frailty (ΔFP). Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Compared with those in the nonfrailty group at baseline, the HRs of T2DM for the prefrailty and frailty groups were 1.38 (95% CI 1.33-1.43) and 1.69 (95% CI 1.59-1.79), respectively (both p < 0.001), in the multivariable-adjusted model. During a median follow-up of 5.4 years after the final assessment, data for 472 T2DM patients were recorded. A 1-point increase in the final FP was associated with a 25% (95% CI 1.14-1.38; p < 0.001) increased risk of T2DM. For the trajectory of frailty, each 0.5-point/year increase in ΔFP was associated with a 52% (95% CI 1.18-1.97; p < 0.001) greater risk of T2DM, independent of the FP score at baseline. Compared with those that remained in the nonfrailty group, the greatest risk of T2DM over time was prefrailty aggravation (HR 3.03, 95% CI 2.00-4.58; p < 0.001). Using the frailty index did not materially change the results. CONCLUSIONS: Long-term changes in frailty were associated with the risk of incident T2DM, irrespective of baseline frailty status. Preventing the worsening of frailty may reduce T2DM risk.

Association of apolipoprotein B and apolipoprotein A1 levels with social determinants of health and coronary artery disease mortality in the United Kingdom Biobank - is there a need for consideration?

BACKGROUND: A higher prevalence of cardiovascular risk factors has previously been shown to be associated with adverse social determinants of health (SDoH) and to explain some of their impact on cardiovascular risk. Whether there is a relationship between lipid parameters, specifically apolipoprotein B (apoB), apolipoprotein A1 (apoA1), their ratio (apoB/apoA1), and SDoH, and whether coronary artery disease (CAD) mortality risk associated with circulating apoB and apoA1 is modified by SDoH was unclear. METHODS: We investigated associations of apoA1, apoB, and apoB/apoA1 with the level of education and household income and their joint impact on CAD mortality in participants of the UK Biobank (UKB) with and without prevalent CAD at enrollment. Hazard ratios for CAD mortality were estimated after adjusting for SDoH and clinical covariates. RESULTS: In 292 804 participants without established CAD, apoB, and the apoB/apoA1 ratio were inversely associated with level of education and household income, whereas apoA1 was positively associated with household income. Adjustment for education level and household income coupled with the number of people living in the household did not attenuate the association between the apolipoprotein levels and incident CAD mortality rates. In a cohort of 13 826 participants with prevalent CAD, apoA1 levels were inversely associated with level of education. Higher apoB levels were only associated with greater CAD mortality risk after adjustment for risk factors. Risk estimation for CAD death through circulating apoA1 levels requires accounting for significant differences by sex. CONCLUSION: Circulating lipid parameters are associated with SDoH in individuals without CAD. CAD mortality risk estimation through apoA1 and apoB levels does not require accounting for SDoH.

White Blood Cell Count, Neutrophil-to-Lymphocyte Ratio, and Incident Cancer in the UK Biobank.

BACKGROUND: The peripheral white blood cell (WBC) and neutrophil-to-lymphocyte ratio (NLR) reflect levels of inflammation and adaptive immunity. They are associated with cancer prognosis, but their associations with cancer incidence are not established. METHODS: We evaluated 443,540 cancer-free adults in the UK Biobank with data on total WBC and its subsets, follow-up starting one year after baseline. Cox regression was used to estimate hazard ratios (HR) per quartile of WBC or NLR for incidence of 73 cancer types. RESULTS: 22,747 incident cancers were diagnosed during a median of 6.9 years of follow-up. WBC was associated with risk of cancer overall [HR, 1.05; 95% confidence interval (CI), 1.03-1.06], chronic lymphocytic leukemia/small lymphocytic leukemia (CLL/SLL, 2.79; 95% CI, 2.45-3.18), lung cancer (1.14, 95% CI, 1.08-1.20), and breast cancer (95% CI, 1.05-1.02-1.08). NLR was positively associated with cancer overall (HR, 1.03; 95% CI, 1.02-1.04, per quartile) and kidney cancer (1.16; 95% CI, 1.07-1.25), and inversely with CLL/SLL (0.38; 95% CI, 0.33-0.42). CONCLUSIONS: High WBC or NLR may reflect excessive inflammatory status, promoting development of some cancers. Conversely, low NLR indicates a relative rise in lymphocytes, which could reflect an increase in circulating premalignant cells before CLL/SLL diagnosis. Peripheral WBC and NLR, in combination with other clinical information or biomarkers, may be useful tools for cancer risk stratification. IMPACT: Elevated levels of WBCs or an increased NLR may indicate an overly active inflammatory response, potentially contributing to the eventual onset of certain types of cancer.

Dietary patterns linked to lower odds of malnutrition are associated with all-cause and cancer mortality in adults with cancer.

OBJECTIVES: Dietary patterns, characterised by protein, polyunsaturated fatty acids, and vitamin D, reduce the odds of malnutrition in cancer survivors. However, it is unclear whether these dietary patterns also improve prognosis. This study prospectively examined associations between dietary patterns linked to lower odds of malnutrition and the risk of all-cause and cancer mortality in adult cancer survivors from the UK Biobank cohort. DESIGN: Prospective observational study. SETTING AND PARTICIPANTS: Cancer survivors from the UK Biobank (mean ± SD, 7.1 ± 6.3 years since diagnosis) were included (n = 2415; 59.7 ± 7.1 years; 60.7% female). MEASUREMENTS: Dietary intake was estimated using the Oxford WebQ 24-h dietary assessment. Dietary patterns ('high oily fish and nuts', and 'low oily fish') were derived using reduced rank regression (response variables: protein (g/kg/day), polyunsaturated fatty acids (g/day) and vitamin D (µg/day)). Cox proportional hazard models estimated hazard ratios (HR) and 95% confidence intervals (CI) for all-cause and cancer mortality. Nonlinear relationships were examined using restricted cubic splines. Models were adjusted for demographic and health characteristics. Sub-group analyses investigated relationships in sub-samples of adults with i) high nutritional risk (lung, gastrointestinal, haematological, or head and neck tumours) and ii) recent cancer diagnosis (cancer diagnosis within two years prior to assessment). RESULTS: Deaths due to all-causes (n = 305) and cancer (n = 249) were identified during a median 10.4 (IQR: 10.2-10.8) years follow-up. There were no statistically significant linear associations between the dietary patterns and all-cause or cancer mortality. However, a U-shaped association between the 'high oily fish and nuts' pattern, characterised by higher intake of oily fish and nuts and seeds, and all-cause mortality (p-non-linearity = 0.004) was identified, as well as with all-cause (p-non-linearity = 0.006) and cancer mortality (p-non-linearity = 0.035) in adults with a high nutritional risk cancer diagnosis (lung, gastrointestinal, haematological, or head and neck tumours), indicating that both above and below mean intake was associated with increased risk. The 'low oily fish' pattern, characterised by lower oily fish but higher potato intake, also had a non-linear association with all-cause mortality (p-non-linearity = 0.046) where lower but not higher than mean intake increased mortality risk. No dietary patterns were significantly associated with mortality in adults with a recent cancer diagnosis. CONCLUSION: 'High oily fish and nuts' or 'low oily fish' dietary patterns that were protective against malnutrition were associated with risk of all-cause and cancer mortality in adults with cancer. Future research should assess the efficacy of these dietary patterns in the acute treatment period when malnutrition is most prevalent.

A genome-wide association study in a large community-based cohort identifies multiple loci associated with susceptibility to bacterial and viral infections.

There is limited data on host-specific genetic determinants of susceptibility to bacterial and viral infections. Genome-wide association studies using large population cohorts can be a first step towards identifying patients prone to infectious diseases and targets for new therapies. Genetic variants associated with clinically relevant entities of bacterial and viral infections (e.g., abdominal infections, respiratory infections, and sepsis) in 337,484 participants of the UK Biobank cohort were explored by genome-wide association analyses. Cases (n = 81,179) were identified based on ICD-10 diagnosis codes of hospital inpatient and death registries. Functional annotation was performed using gene expression (eQTL) data. Fifty-seven unique genome-wide significant loci were found, many of which are novel in the context of infectious diseases. Some of the detected genetic variants were previously reported associated with infectious, inflammatory, autoimmune, and malignant diseases or key components of the immune system (e.g., white blood cells, cytokines). Fine mapping of the HLA region revealed significant associations with HLA-DQA1, HLA-DRB1, and HLA-DRB4 locus alleles. PPP1R14A showed strong colocalization with abdominal infections and gene expression in sigmoid and transverse colon, suggesting causality. Shared significant loci across infections and non-infectious phenotypes in the UK Biobank cohort were found, suggesting associations for example between SNPs identified for abdominal infections and CRP, rheumatoid arthritis, and diabetes mellitus. We report multiple loci associated with bacterial and viral infections. A better understanding of the genetic determinants of bacterial and viral infections can be useful to identify patients at risk and in the development of new drugs.

Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risk Data: With Applications to Massive Biobank Data.

Semiparametric joint models of longitudinal and competing risk data are computationally costly, and their current implementations do not scale well to massive biobank data. This paper identifies and addresses some key computational barriers in a semiparametric joint model for longitudinal and competing risk survival data. By developing and implementing customized linear scan algorithms, we reduce the computational complexities from O(n 2) or O(n 3) to O(n) in various steps including numerical integration, risk set calculation, and standard error estimation, where n is the number of subjects. Using both simulated and real-world biobank data, we demonstrate that these linear scan algorithms can speed up the existing methods by a factor of up to hundreds of thousands when n > 104, often reducing the runtime from days to minutes. We have developed an R package, FastJM, based on the proposed algorithms for joint modeling of longitudinal and competing risk time-to-event data and made it publicly available on the Comprehensive R Archive Network (CRAN).

Construction of a femininity score in the UK Biobank and its association with angina diagnosis prior to myocardial infarction.

Gender captures social components beyond biological sex and can add valuable insight to health studies in populations. However, assessment of gender typically relies on questionnaires which may not be available. The aim of this study is to construct a gender metric using available variables in the UK Biobank and to apply it to the study of angina diagnosis. Proxy variables for femininity characteristics were identified in the UK Biobank and regressed on sex to construct a composite femininity score (FS) validated using tenfold cross-validation. The FS was assessed as a predictor of angina diagnosis before incident myocardial infarction (MI) events. The FS was derived for 315,937 UK Biobank participants. In 3059 individuals with no history of MI at study entry who had an incident MI event, the FS was a significant predictor of angina diagnosis prior to MI (OR 1.24, 95% CI 1.10-1.39, P < 0.001) with a significant sex-by-FS interaction effect (P = 0.003). The FS was positively associated with angina diagnosis prior to MI in men (OR 1.37, 95% CI 1.19-1.57, P < 0.001), but not in women. We have provided a new tool to conduct gender-sensitive analyses in observational studies, and applied it to study of angina diagnosis prior to MI.

Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies.

Despite the dramatic underrepresentation of non-European populations in human genetics studies, researchers continue to exclude participants of non-European ancestry, as well as variants rare in European populations, even when these data are available. This practice perpetuates existing research disparities and can lead to important and large effect size associations being missed. Here, we conducted genome-wide association studies (GWAS) of 31 serum and urine biomarker quantitative traits in African (n = 9354), East Asian (n = 2559), and South Asian (n = 9823) ancestry UK Biobank (UKBB) participants. We adjusted for all known GWAS catalog variants for each trait, as well as novel signals identified in a recent European ancestry-focused analysis of UKBB participants. We identify 7 novel signals in African ancestry and 2 novel signals in South Asian ancestry participants (p < 1.61E-10). Many of these signals are highly plausible, including a cis pQTL for the gene encoding gamma-glutamyl transferase and PIEZO1 and G6PD variants with impacts on HbA1c through likely erythrocytic mechanisms. This work illustrates the importance of using the genetic data we already have in diverse populations, with novel discoveries possible in even modest sample sizes.

Rationale and design of the effects of EMpagliflozin on left ventricular DIAstolic function in diabetes (EmDia) study.

BACKGROUND: Data of the EMPA-REG OUTCOME study have demonstrated a beneficial effect of the sodium-glucose cotransporter 2 inhibitor empagliflozin on cardiovascular outcome in patients with type 2 diabetes. The reduction in cardiovascular mortality and hospitalization due to heart failure might be in part explained by the direct effects of empagliflozin on cardiac diastolic function. The EmDia trial investigates the short-term effects of empagliflozin compared to placebo on the left ventricular E/E' ratio as a surrogate of left ventricular diastolic function. METHODS: EmDia is a single-center, randomized, double-blind, two-arm, placebo-controlled, parallel group study of phase IV. Individuals with diabetes mellitus type 2 (T2DM) are randomized 1:1 to receive empagliflozin 10 mg per day or a placebo for 12 weeks. The main inclusion criteria are diagnosed as T2DM with stable glucose-lowering and/or dietary treatment, elevated HbA1c level (6.5-10.0% if receiving glucose-lowering therapy, or 6.5-9.0% if drug-naïve), and diastolic cardiac dysfunction with left ventricular E/E'≥8. The primary end point is the difference of the change in the E/E' ratio by treatment groups after 12 weeks. Secondary end points include assessment of the effect of empagliflozin on left ventricular systolic function, measures of vascular structure and function, as well as humoral cardiovascular biomarkers (i.e. brain natriuretic peptide, troponin, C-reactive protein). In addition, the multidimensional biodatabase enables explorative analyses of molecular biomarkers to gain insights into possible mechanisms of the effects of empagliflozin on human health in a systems medicine-oriented, multiomics approach. CONCLUSION: By evaluating the short-term effect of empagliflozin with a comprehensive biobanking program, the EmDia Study offers an opportunity to primarily assess the effects on diastolic function but also to examine effects on clinical and molecular cardiovascular traits. TRIAL REGISTRATION: ClinicalTrials.gov; NCT02932436. Registration date, 2016/10/13.

Rare GATA6 variants associated with risk of congenital heart disease phenotypes in 200,000 UK Biobank exomes.

Congenital heart disease (CHD) has a complex and largely uncharacterised genetic etiology. Using 200,000 UK Biobank (UKB) exomes, we assess the burden of ultra-rare, potentially pathogenic variants in the largest case/control cohort of predominantly mild CHD to date. We find an association with GATA6, a member of the GATA family of transcription factors that play an important role during heart development and has been linked with several CHD phenotypes previously. Several identified GATA6 variants are previously unreported and their roles in conferring risk to CHD warrants further study. We demonstrate that despite limitations regarding detailed familial phenotype information in large-scale biobank projects, through careful consideration of case and control cohorts it is possible to derive important associations.

Thyroid Function and Risk of Anemia: A Multivariable-Adjusted and Mendelian Randomization Analysis in the UK Biobank.

CONTEXT: Thyroid dysfunction is associated with higher anemia prevalence, although causality remains unclear. OBJECTIVE: This study aimed to investigate the association between thyroid function and anemia. METHODS: This cross-sectional and Mendelian randomization study included 445 482 European participants from the UK Biobank (mean age 56.77 years (SD 8.0); and 54.2% women). Self-reported clinical diagnosis of hypothyroidism was stated by 21 860 (4.9%); self-reported clinical diagnosis of hyperthyroidism by 3431 (0.8%). Anemia, defined as hemoglobin level of < 13 g/dL in men and < 12 g/dL in women, was present in 18 717 (4.2%) participants. RESULTS: In cross-sectional logistic regression analyses, self-reported clinical diagnoses of hypo- and hyperthyroidism were associated with higher odds of anemia (OR 1.12; 95% CI, 1.05-1.19 and OR 1.09; 95% CI, 0.91-1.30), although with wide confidence intervals for hyperthyroidism. We did not observe an association of higher or lower genetically influenced thyrotropin (TSH) with anemia (vs middle tertile: OR for lowest tertile 0.98 [95% CI, 0.95-1.02]; highest tertile 1.02 [95% CI, 0.98-1.06]), nor of genetically influenced free thyroxine (fT4) with anemia. Individuals with genetic variants in the DIO3OS gene implicated in intracellular regulation of thyroid hormones had a higher anemia risk (OR 1.05; 95% CI, 1.02-1.10); no association was observed with variants in DIO1 or DIO2 genes. CONCLUSION: While self-reported clinical diagnosis of hypothyroidism was associated with higher anemia risk, we did not find evidence supporting a causal association with variation of thyroid function within the euthyroid range. However, intracellular regulation of thyroid hormones might play a role in developing anemia.

The Association of Ambient Air Pollution With Cataract Surgery in UK Biobank Participants: Prospective Cohort Study.

Purpose: Air pollution is associated with chronic diseases of later life. Cataract is the most common cause of blindess globally. It is biologically plausible that cataract risk is increased by pollution exposure. Therefore, the relationship between air pollution and incident cataract surgery was examined. Methods: This was a prospective, observational study involving 433,727 UK Biobank participants. Ambient air pollution measures included particulates, nitrogen dioxide (NO2) and nitrogen oxides (NOx). Outdoor air pollution was estimated based on land use regression models. Participants undergoing cataract surgery in either eye were ascertained via data linkage to the National Health Service procedure statistics. Those undergoing cataract surgery within 1 year of baseline assessment and those reporting cataract at baseline were excluded. Cox proportional hazards models were used to examine the associations between air pollutants and incident cataract surgery, adjusting for sociodemographic and lifestyle factors. Results: There were 16,307 incident cases of cataract surgery. Higher exposure to PM2.5 was associated with a 5% increased risk of incident cataract surgery (per interquartile range [IQR] increase). Compared to the lowest quartile, participants with exposures to PM2.5, NO2, and NOx in the highest quartile were 14%, 11%, and 9% more likely to undergo cataract surgery, respectively. A continuous exposure-response relationship was observed, with the likelihood of undergoing cataract surgery being progressively higher with greater levels of PM2.5, NO2, and NOx (P for trend P < 0.001). Conclusions: Although the results of our study showed a 5% increased risk of future cataract surgery following an exposure to PM2.5, NO2, and NOx, the effect estimates were relatively small. Further research is required to determine if the associations identified are causal.

Oral Antidiabetics and Sleep Among Type 2 Diabetes Patients: Data From the UK Biobank.

Previous small-scale studies have found that oral antidiabetic therapy is associated with sleep difficulties among patients with type 2 diabetes (T2D). Here, we used data from 11 806 T2D patients from the UK Biobank baseline investigation to examine the association of oral antidiabetic therapy with self-reported difficulty falling and staying asleep and daily sleep duration. As shown by logistic regression adjusted for, e.g., age, T2D duration, and HbA1c, patients on non-metformin therapy (N=815; 86% were treated with sulphonylureas) had a 1.24-fold higher odds ratio of reporting regular difficulty falling and staying asleep at night compared to those without antidiabetic medication use (N=5 366, P<0.05) or those on metformin monotherapy (N=5 625, P<0.05). Non-metformin patients reported about 8 to 10 minutes longer daily sleep duration than the other groups (P<0.05). We did not find significant differences in sleep outcomes between untreated and metformin patients. Our findings suggest that non-metformin therapy may result in sleep initiation and maintenance difficulties, accompanied by a small but significant sleep extension. The results of the present study must be replicated in future studies using objective measures of sleep duration and validated questionnaires for insomnia. Considering that most T2D patients utilize multiple therapies to manage their glycemic control in the long term, it may also be worth investigating possible interactions of antidiabetic drugs on sleep.

Adiposity by Differing Measures and the Risk of Cataract in the UK Biobank: The Importance of Diabetes.

Purpose: To examine the association between adiposity by differing measures and incident cataract and identify important factors contributing to the association. Methods: Our analysis included 153,139 adults from the UK Biobank, aged 40 to 70 years at baseline (2006-2010). Cataract was ascertained using hospital inpatient, and self-reported data until the early of 2021. Anthropometric measures, body fat percentage, and glycosylated hemoglobin (HbA1c) were measured at baseline. Results: During a median follow-up of 10.9 years, 15,255 cases of incident cataract were documented. HbA1c was an important contributor to the association between obesity and incident cataract. Obesity; defined by body mass index was associated with an increased risk of cataract (hazard ratio [HR], 1.21 95% confidence interval [CI], 1.16-1.26), and this association was attenuated but remained significant after additional adjustment for HbA1c (HR, 1.05; 95% CI, 1.00-1.10). Similar results were observed for obesity defined by waist circumference or waist-to-hip ratio. Obesity defined by fat percentage was associated with an increased risk of cataract before but not after adjustment for covariates. The association between obesity defined by body mass index and incident cataract was positively significant in individuals with normal HbA1c (HR, 1.07; 95% CI, 1.02-1.13), but inversely significant in those with prediabetes (HR, 0.80; 95% CI, 0.67-0.96) or diabetes (HR, 0.74; 95% CI, 0.61-0.89). Conclusions: Anthropometric measurements are more predictive of cataract than bioelectrical impedance measures. Diabetes plays an important role in the association between obesity and incident cataract.

A generalized linear mixed model association tool for biobank-scale data.

Compared with linear mixed model-based genome-wide association (GWA) methods, generalized linear mixed model (GLMM)-based methods have better statistical properties when applied to binary traits but are computationally much slower. In the present study, leveraging efficient sparse matrix-based algorithms, we developed a GLMM-based GWA tool, fastGWA-GLMM, that is severalfold to orders of magnitude faster than the state-of-the-art tools when applied to the UK Biobank (UKB) data and scalable to cohorts with millions of individuals. We show by simulation that the fastGWA-GLMM test statistics of both common and rare variants are well calibrated under the null, even for traits with extreme case-control ratios. We applied fastGWA-GLMM to the UKB data of 456,348 individuals, 11,842,647 variants and 2,989 binary traits (full summary statistics available at http://fastgwa.info/ukbimpbin ), and identified 259 rare variants associated with 75 traits, demonstrating the use of imputed genotype data in a large cohort to discover rare variants for binary complex traits.

Maternal smoking during pregnancy is risk factor for gallbladder disease in offspring during adulthood: a prospective study from UK Biobank.

INTRODUCTION AND OBJECTIVES: Gallbladder disease is a common disease with high prevalence. Majority of gallbladder disease is due to gallstone. Though genetics are believed to play a role in its pathogenesis, the contribution of environmental pressures in early life to the development of this disease in adulthood has not been ever investigated. This study aimed to clarify the risk of maternal smoking exposure in association with gallbladder disease in adulthood. The interaction of maternal smoking and own smoking during adulthood on this association was studied as well. PATIENTS AND METHODS: A total of 286,731 eligible participants from the UK Biobank population-based cohort were included. Multivariable Cox regression analysis were used to examine the HR and 95% CI with adjustment for covariates. RESULT: During a median of 8.8 years follow-up, 7110 incident cases of gallbladder disease including 6800 (95.6%) gallstone were identified. Maternal smoking was associated with increased risk of incident total gallbladder disease (HR = 1.13; 95%CI: 1.06 - 1.21; P = 0.0002) as well as gallstones (HR = 1.13; 95%CI: 1.06 -1.21; P = 0.0003) in adulthood. Compared with those who were neither exposed to maternal smoking nor own smoking, subjects adherence to no smoking during adulthood but having maternal smoking exposure still had increased risk of total gallbladder disease (HR = 1.21; 95%CI: 1.1-1.34, P=0.0001) and gallstones (HR = 1.21; 95%CI: 1.1-1.35, P=0.0001). CONCLUSION: The present study using large prospective cohort data from UK Biobank, for the first time, demonstrated maternal smoking exposure bringing elevated risk of incident total gallbladder disease/gallstone in adulthood.

Reproducibility in the UK biobank of genome-wide significant signals discovered in earlier genome-wide association studies.

With the establishment of large biobanks, discovery of single nucleotide variants (SNVs, also known as single nucleotide polymorphisms (SNVs)) associated with various phenotypes has accelerated. An open question is whether genome-wide significant SNVs identified in earlier genome-wide association studies (GWAS) are replicated in later GWAS conducted in biobanks. To address this, we examined a publicly available GWAS database and identified two, independent GWAS on the same phenotype (an earlier, "discovery" GWAS and a later, "replication" GWAS done in the UK biobank). The analysis evaluated 136,318,924 SNVs (of which 6289 reached P < 5e-8 in the discovery GWAS) from 4,397,962 participants across nine phenotypes. The overall replication rate was 85.0%; although lower for binary than quantitative phenotypes (58.1% versus 94.8% respectively). There was a 18.0% decrease in SNV effect size for binary phenotypes, but a 12.0% increase for quantitative phenotypes. Using the discovery SNV effect size, phenotype trait (binary or quantitative), and discovery P value, we built and validated a model that predicted SNV replication with area under the Receiver Operator Curve = 0.90. While non-replication may reflect lack of power rather than genuine false-positives, these results provide insights about which discovered associations are likely to be replicated across subsequent GWAS.

EBiSC best practice: How to ensure optimal generation, qualification, and distribution of iPSC lines.

Disease-relevant human induced pluripotent stem cells (iPSCs) are generated worldwide for research purposes; however, without robust and practical ethical, legal, and quality standards, there is a high risk that their true potential will not be realized. Best practices for tissue procurement, iPSC reprogramming, day-to-day cultivation, quality control, and data management aligned with an ethical and legal framework must be included into daily operations to ensure their promise is maximized. Here we discuss key learning experiences from 7 years of operating the European Bank for induced Pluripotent Stem Cells (EBiSC) and recommend how to incorporate solutions into a daily management framework.