生命机体危险因子信息特征分析

旨在生命机体与危险因子间建立生命物质信息对话平台,以物质化的信息,或信息化的物质的思维进行理解和推论,建立物质承载信息,信息通过物质的形式传递的思维模式,对生命信息中危险因子的属性、分类以及生命机体对危险因子的识别方式进行分析,从以上两个方面不同角度阐述危险因子与生命机体机制信息的相关互动关系。在分析与解读的过程中,主张建立合乎自然生成逻辑的科学概念,而摒弃一些主观是非逻辑所推导建立起来的概念,还原生命物质和生命过程的本来生物学位置及性质;主张一元化的思考方式和整体性理解生命信息安全控制机制的核心部分。分析结果:就生命信息中危险因子的属性和分类进行了分析,指出危险因子具有生命信息属性和生命安全属性两个属性,依据危险因子物质来源的不同,分外源性和内源性两类,绘出危险因子来源分类汇总图;从机体方面对危险因子识别方式不同,分为PRR识别方式和抗原(样)受体识别方式两类,并绘出危险因子识别方式分类汇总图。综合危险因子的属性、分类和生命机体对危险因子的识别方式,绘制出危险因子与生命机体机制信息的相关互动图,从保守性结构信息、生理产物信息、对机体损伤信息、代谢通路信息、对机体变应信息、精细纯外观构象信息及内在性核心信息7个方面对两者的相互关系进行了引证和分析,进一步阐释了生命信息安全控制机制。     

BMI and Risk Factors for Suicide: Why Is BMI Inversely Related to Suicide?

Higher BMI has been associated with a lower risk of suicide in large prospective studies, but the mechanisms for this link require elucidation. In the 2002 and 2004 iterations of the Behavioral Risk Factor Surveillance System (BRFSS), a large, population‐based telephone survey of US adults conducted by the Centers for Disease Control and Prevention, participants reported their height, weight, and several potential risk factors for suicide, including alcohol use, mental health, marital status, firearm ownership, and risk‐taking behaviors. We assessed whether BMI was associated with these risk factors among 224,247 eligible respondents in 2002 and 275,194 in 2004 after sample‐weighted adjustment for age, race, region, smoking, and education. Alcohol‐related risk factors tended to be lower with heavier BMI among women, while firearm‐related risk factors tended to be higher with heavier BMI among men. Heavier BMI also tended to be associated with unmarried status and poor mental health, especially among women, and with infrequent seat belt use in men and women. No potential risk factors were consistently inversely associated with BMI in both sexes and years. In summary, in these samples of the US population, conventional risk factors for suicide were inconsistently associated with BMI, making them unlikely mediators for the observed relationship of BMI with lower risk of suicide. In some cases, risk factors were actually greater with heavier BMI. Further study of the relationship of BMI and suicide may yield novel modifiable risk factors that could cause or prevent this important cause of death.     

Prophylaxis against hepatitis A for travel.

OBJECTIVE--To develop a rational practice policy for prophylaxis against hepatitis A for travellers to high risk areas. DESIGN--18 Month prospective study of consecutive patients who requested prophylaxis against hepatitis A. SETTING--Inner city general practice. SUBJECTS--104 Patients aged 15-61 (mean 30) assessed for risk factors for hepatitis A and put into groups depending on predictions from the risk factors of their immunity. MAIN OUTCOME MEASURES AND RESULTS--All patients were screened for antibody to hepatitis A virus. Of 52 patients with no risk factors 47 had no antibody and were thus susceptible to hepatitis A. All 27 patients with major risk factors (having been brought up in an endemic area or with a history of jaundice) were immune. Of 25 patients with minor risk factors (a history of previous travel in high risk areas, drug abuse, having lived in a squat or travelled rough, or having lived with someone who had jaundice) 12 were immune (p less than 0.001, chi 2 test). CONCLUSIONS--All travellers requesting prophylaxis against hepatitis A should be assessed for risk factors for previous exposure to hepatitis A. Those with no risk factors could be immunised with human normal immunoglobulin without screening. The remainder should be tested for hepatitis A antibody and those found to be susceptible should be immunised.     

Use of the correlation of liability in twins and siblings in the study of birth defects

The epidemiologic approach to determining the etiology of disease involves identification of potential risk factors and then comparison of disease incidence among people with varying levels of exposure to the potential risk factors. This paper defines risk factors which correspond to different levels of genetic and environmental proximity to index cases of birth defects. Genetic proximity is estimated by the coefficient of relationship (R): 0.5 for siblings and dizygotic twins and 1.0 for monozygotic twins. Environmental proximity is measured by a combination of two variables: one variable for those potentially preventable risk factors common to siblings (S) and another for those common only to twins (T). Discordance in identical twins is attributed to a third type of environmental factors (U) that are unshared by twins and include random (stochastic) factors. The association between these risk factors and birth defects is estimated by using a linear model of the correlation of liability for different relatives. The coefficients derived from the model reflect the relative importance of genetic and different types of environmental risk factors as causes for the defects and can be used to identify birth defects most likely to be caused by measurable and possibly preventable risk factors. These defects could then be assigned high priority for future studies and preventive efforts.     

Clustering of risk factors and social class in childhood and adulthood in British women's heart and health study: cross sectional analysis

Objective To examine co-occurrence and clustering of risk factors used in the Framingham equation by social class in childhood and adult life.Design Cross sectional study.Setting 23 towns across England, Wales, and Scotland.Participants 2936 women aged 60-79 years.Main outcome measures Prevalence of risk factors (hypertension, obesity, smoking, left ventricular hypertrophy on electrocardiography, diabetes, and low concentration of high density cholesterol); ratios of observed to expected frequencies of clusters of risk factors.Results Risk factors were more common in women from manual social classes in either childhood or adult life, and the co-occurrence of three or four of these risk factors was greater among more disadvantaged groups. Within the four socioeconomic groups, these risk factors occurred together more than would be expected from their individual frequency distributions, indicating that they were clustered. The extent of this clustering was similar in all four social class groups.Conclusions Clustering of risk factors included in the Framingham risk function occurs in all social class groups, but the lack of social patterning makes it unlikely that clustering is an explanation of socioeconomic inequalities in cardiovascular disease. As the proportion of women with co-occurrence of risk factors is greatest in those from manual social class in childhood, this measure of socioeconomic position might prove useful in risk prediction.     

Injury incidence and risk factors in youth soccer players: a systematic literature review. Part II: Intrinsic and extrinsic risk factors

Injury is defined as a complex phenomenon determined by the non-linear interaction of several intrinsic and extrinsic factors. The objective of the present study was to perform a systematic literature review on the injury risk factors in young soccer players. After electronic database searching, articles in line with the inclusion criteria were selected for the systematic review. Injury risk factor data were extracted and grouped in intrinsic and extrinsic risk factors. The main findings of the current review are as follows: (1) alteration in neuromuscular control such as limb asymmetry and dynamic knee valgus are important intrinsic risk factors; (2) maturation status may impair neuromuscular control and increase the risk of injury; (3) fatigue and poor recovery contribute to the onset of overuse injuries; (4) the impact of anthropometric factors is still unclear; (5) previous injuries increase the risk of re-injuries; (6) highly skilled players are more exposed to risk of injuries; (7) high external workloads increase the risk of injuries; (8) playing position, as well as sport specialization, exposes young soccer players to greater injury risk. Many factors (e.g., neuromuscular control, training load, maturity status) can modify the susceptibility to injury in young soccer players. Being aware of the complex interaction between these factors is essential to identify players at higher risk of injury, develop adequate prevention strategies, and from a scientific point of view move from a reductionist to a complex system approach.     

Average attributable fractions: a coherent theory for apportioning excess risk to individual risk factors and subpopulations

The attributable fraction in a population and the attributable fraction in exposed are different epidemiologic measures for quantifying the contribution of a risk factor to the risk of disease. While the attributable fraction in a population depends on both the relative risk of disease and the risk of being exposed in the population, the attributable fraction in exposed depends only on the relative risk. Similar relationships apply to the combined attributable fraction in a population and in exposed, respectively, for quantifying the total contribution of a group of risk factors. Eide and Gefeller (1995) showed how the sequential and average attributable fractions could be applied to quantify the contributions of the individual risk factors to a combined attributable fraction in a population. The present paper shows how this methodology can be extended to the combined attributable fraction in exposed. The resulting average attributable fractions in exposed are compared to other proposed methods. The relationship between the average attributable fractions in a population and in exposed is outlined, thus establishing a coherent theory for apportioning attributable fractions in individuals, groups of individuals and populations, to single risk factors or groups of risk factors like modifiable versus nonmodifiable factors.     

Gout. Epidemiology of gout

Gout is the most prevalent form of inflammatory arthropathy. Several studies suggest that its prevalence and incidence have risen in recent decades. Numerous risk factors for the development of gout have been established, including hyperuricaemia, genetic factors, dietary factors, alcohol consumption, metabolic syndrome, hypertension, obesity, diuretic use and chronic renal disease. Osteoarthritis predisposes to local crystal deposition. Gout appears to be an independent risk factor for all-cause mortality and cardiovascular mortality and morbidity, additional to the risk conferred by its association with traditional cardiovascular risk factors.     

Genetic Insights into Cardiometabolic Risk Factors

Many biochemical traits are recognised as risk factors, which contribute to or predict the development of disease. Only a few are in widespread use, usually to assist with treatment decisions and motivate behavioural change. The greatest effort has gone into evaluation of risk factors for cardiovascular disease and/or diabetes, with substantial overlap as ‘cardiometabolic’ risk. Over the past few years many genome-wide association studies (GWAS) have sought to account for variation in risk factors, with the expectation that identifying relevant polymorphisms would improve our understanding or prediction of disease; others have taken the direct approach of genomic case-control studies for the corresponding diseases. Large GWAS have been published for coronary heart disease and Type 2 diabetes, and also for associated biomarkers or risk factors including body mass index, lipids, C-reactive protein, urate, liver function tests, glucose and insulin. Results are not encouraging for personal risk prediction based on genotyping, mainly because known risk loci only account for a small proportion of risk. Overlap of allelic associations between disease and marker, as found for low density lipoprotein cholesterol and heart disease, supports a causal association, but in other cases genetic studies have cast doubt on accepted risk factors. Some loci show unexpected effects on multiple markers or diseases. An intriguing feature of risk factors is the blurring of categories shown by the correlation between them and the genetic overlap between diseases previously thought of as distinct. GWAS can provide insight into relationships between risk factors, biomarkers and diseases, with potential for new approaches to disease classification.     

Genetic risk factors of venous thrombosis

Venous thrombosis, whose main clinical presentations include deep vein thrombosis and pulmonary embolism, represents a major health problem worldwide. Numerous conditions are known to predispose to venous thrombosis and these conditions are commonly referred to as risk indicators or risk factors. Generally accepted or "classically" acquired risk factors for venous thromboembolism include advanced age, prolonged immobilisation, surgery, fractures, use of oral contraceptives and hormone replacement therapy, pregnancy, puerperium, cancer and antiphospholipid syndrome. In addition to these well-established risk factors for venous thrombosis, several lines of evidence that have emerged over the past few decades indicate a role of novel genetic risk factors, mainly related to the haemostatic system, in influencing thrombotic risk. The most significant breakthrough has been the confirmation of the concept that inherited hypercoagulable conditions are present in a large proportion of patients with venous thromboembolic disease. These include mutations in the genes that encode antithrombin, protein C and protein S, and the factor V Leiden and factor II G20210 A mutations. Moreover, plasmatic risk indicators, such as hyperhomocysteinemia and elevated concentrations of factors II, VIII, IX, XI and fibrinogen, have also been documented. This extensive list of genetic and acquired factors serves to illustrate that a single cause of venous thrombosis does not exist and that this condition should be considered as a complex or multifactorial trait. Complex traits can be understood by assuming an interaction between different mutations in candidate susceptibility genes. The risk that is associated with each genetic defect may be relatively low in isolation but the simultaneous presence of several mutations may dramatically increase disease susceptibility. Moreover, environmental factors may interact with one or more genetic variations to add further to the risk. The analysis of genetic risk factors and plasmatic factors, together with private life style and environmental factors, has contributed significantly to our understanding of the genetic predisposition to venous thrombosis.     

Epidemiology of gout

Gout is the most prevalent form of inflammatory arthropathy. Several studies suggest that its prevalence and incidence have risen in recent decades. Numerous risk factors for the development of gout have been established, including hyperuricaemia, genetic factors, dietary factors, alcohol consumption, metabolic syndrome, hypertension, obesity, diuretic use and chronic renal disease. Osteoarthritis predisposes to local crystal deposition. Gout appears to be an independent risk factor for all-cause mortality and cardiovascular mortality and morbidity, additional to the risk conferred by its association with traditional cardiovascular risk factors.     

Biochemical markers of endothelial activation in primary hyperparathyroidism.

Patients with primary hyperparathyroidism (PHPT) have impaired vasodilation both dependent and independent of endothelium. The aims of our study were to measure three different biochemical markers of endothelial activation, i. e., plasma thrombomodulin, soluble(s) E-selectin, and von Willebrand factor, in PHPT patients before and one year after successful parathyroidectomy, and to distinguish the potential effect of hypercalcemia and/or high parathyroid hormone from that of major cardiovascular risk factors (diabetes mellitus, hyperlipidemia, hypertension, obesity, smoking habit) on endothelial function. Twenty consecutive patients with PHPT subdivided into two groups according to the absence (n = 8) or presence (n = 12) of one or more risk factors, and fifteen healthy normocalcemic subjects were studied. Baseline thrombomodulin levels were similar in the groups with and without risk factors, and in controls. In contrast, sE-selectin and von Willebrand factor were higher in PHPT patients with risk factors than in those without risk factors (p < 0.05 and p < 0.01, respectively) and controls (p < 0.01). Neither thrombomodulin nor sE-selectin changed after parathyroidectomy in either PHPT group. Plasma von Willebrand factor decreased (p < 0.01) in patients without risk factors, while persisting at high levels in patients with risk factors. In conclusion, in spite of a limitation due to the small number of patients, our study suggests that classic cardiovascular risk factors seem to be the main determinants for the high plasma levels of sE-selectin and vWF in PHPT. Together with unaltered thrombomodulin and sE-selectin levels, a plasma vWF decrease after parathyroidectomy might reflect a specific mechanism of its endothelial calcium- and/or PTH-stimulated secretion in some PHPT patients without risk factors. Whether a vWF reduction after parathyroidectomy may be used as a biochemical index for improved endothelial function in PHPT patients without risk factors has yet to be demonstrated in larger studies.     

Epidemiological Risk Factors for Animal Influenza A Viruses Overcoming Species Barriers

Drivers and risk factors for Influenza A virus transmission across species barriers are poorly understood, despite the ever present threat to human and animal health potentially on a pandemic scale. Here we review the published evidence for epidemiological risk factors associated with influenza viruses transmitting between animal species and from animals to humans. A total of 39 papers were found with evidence of epidemiological risk factors for influenza virus transmission from animals to humans; 18 of which had some statistical measure associated with the transmission of a virus. Circumstantial or observational evidence of risk factors for transmission between animal species was found in 21 papers, including proximity to infected animals, ingestion of infected material and potential association with a species known to carry influenza virus. Only three publications were found which presented a statistical measure of an epidemiological risk factor for the transmission of influenza between animal species. This review has identified a significant gap in knowledge regarding epidemiological risk factors for the transmission of influenza viruses between animal species.     

The Quantitative Relationship Between “The Metabolic Syndrome” and Abdominal Obesity in Women

Abdominal obesity is closely associated with the presence of metabolic risk factors and elevated blood pressure in selected materials. This has, however, never been analyzed quantitatively in a non-selected cohort. Therefore, in a population-based study of 1462 Swedish women, four selected risk factors for non-insulin dependent diabetes mellitus (NIDDM) and cardiovascular disease (CVD), serum triglycerides, blood glucose and systolic blood pressure and also serum insulin in a subsample, were examined in relation to regional and overall obesity. This was performed by subdividing the age adjusted sample into quintiles of waist to hip circumference ratio (WHR) or body mass index (BMI) as indicators of abdominal distribution of body fat and overall obesity, respectively. The risk factors serum triglycerides, blood glucose, blood pressure and serum insulin were defined as being elevated when the value of the risk factor was higher than the mean plus one or two standard deviations of the total age-adjusted cohort. The percentage of women with elevated risk factors according to this definition was then calculated in each of these quintiles. Having a risk factor which was elevated according to the definition was significantly correlated to WHR and BMI (p<0.0001) independent of age. The presence of one or several of these elevated risk factors was clearly higher than expected in the fifth quintile of WHR, and to a lesser extent in the fifth quintile of BMI while this was not the case in the lower quintiles of WHR and BMI. When studying the combination of the WHR and BMI, the presence of risk factors higher than the mean plus two standard deviations increased gradually with WHR in all five quintiles of BMI. A significant association was observed between WHR and presence of risk factors independent of BMI (p<0.0001) but BMI did not remain significantly correlated to presence of risk factors when controlling for WHR (p=0.09). These results indicate that abdominal distribution of body fat in women independently of general obesity is closely associated with metabolic risk factors including elevated blood pressure, a metabolic syndrome with increased risk for cardiovascular disease and non-insulin dependent diabetes mellitus.     

“Unwarranted survivals” and “anomalous deaths” from coronary heart disease: prospective survey of general population

ObjectivesTo assess survival in people who are at apparent high risk who do not develop coronary heart disease (“unwarranted survivals”) and mortality in people at low risk who die from the disease (“anomalous deaths”) and the extent to which these outcomes are explained by other, less visible, risk factors.DesignProspective general population survey.SettingRenfrew and Paisley, Scotland.Participants6068 men aged 45-64 years at screening in 1972-6, allocated to “visible” risk groups on the basis of body mass index and smoking.ResultsVisible risk was a good predictor of mortality: 13% (45) of men at low risk and 45% (86) of men at high risk had died by age 70 years. Of these deaths, 12 (4%) and 44 (23%), respectively, were from coronary heart disease. In the group at low visible risk other less visible risk factors accounted for increased risk in 83% (10/12) of men who died from coronary heart disease and 29% (84/292) of men who survived. In the high risk group 81/107 who survived (76%) and 19/44 (43%) who died from coronary heart disease had lower risk after other factors were considered. Different risk factors modified risk (beyond smoking and body mass index) in the two groups. Among men at low visible risk, poor respiratory function, diabetes, previous coronary heart disease, and socioeconomic deprivation modified risk. Among men at high visible risk, height and cholesterol concentration modified risk.ConclusionsDifferences in survival between these extreme risk groups are dramatic. Health promotion messages would be more credible if they discussed anomalies and the limits of prediction of coronary disease at an individual level.

What is already known on this topic

People pay attention to visible risk factors, such as smoking and weight, in explaining or predicting coronary events but are aware that these behavioural risk factors fail to explain some early deaths from coronary heart disease (in those with “low risk” lifestyles) and long survival (in those with “high risk” lifestyles)Such violations to notions of coronary candidacy undermine people''s belief in the worth of modifying behavioural risk factors for coronary heart disease

What this study adds

Visible risk status was a good marker for other coronary risk factors at the extremes of the risk distributionMost men at low visible risk (slim, never smoked) who died prematurely from coronary heart disease had poorer risk profiles on other less visible risk factors; similarly, men at high visible risk (obese, heavy smokers) who survived often had more favourable profiles on other risk factors     

Genetic susceptibility to thrombosis and its relationship to physiological risk factors: the GAIT study. Genetic Analysis of Idiopathic Thrombophilia

Although there are a number of well-characterized genetic defects that lead to increased risk of thrombosis, little information is available on the relative importance of genetic factors in thrombosis risk in the general population. We performed a family-based study of the genetics of thrombosis in the Spanish population to assess the heritability of thrombosis and to identify the joint actions of genes on thrombosis risk and related quantitative hemostasis phenotypes. We examined 398 individuals in 21 extended pedigrees. Twelve pedigrees were ascertained through a proband with idiopathic thrombosis, and the remaining pedigrees were randomly ascertained. The heritability of thrombosis liability and the genetic correlations between thrombosis and each of the quantitative risk factors were estimated by means of a novel variance component method that used a multivariate threshold model. More than 60% of the variation in susceptibility to common thrombosis is attributable to genetic factors. Several quantitative risk factors exhibited significant genetic correlations with thrombosis, indicating that some of the genes that influence quantitative variation in these physiological correlates also influence the risk of thrombosis. Traits that exhibited significant genetic correlations with thrombosis included levels of several coagulation factors (factors VII, VIII, IX, XI, XII, and von Willebrand), tissue plasminogen activator, homocysteine, and the activated protein C ratio. This is the first study that quantifies the genetic component of susceptibility to common thrombosis. The high heritability of thrombosis risk and the significant genetic correlations between thrombosis and related risk factors suggest that the exploitation of correlated quantitative phenotypes will aid the search for susceptibility genes.     

Screening persons aged 65 and older for coronary heart disease risk factors.

Because of limited clinical investigations addressing the effectiveness of intervention to reduce known risk factors, it is difficult for primary care physicians to decide on which coronary heart disease risk factors to continue to screen for among older patients. The recently published report of the United States Preventive Services Task Force, using explicit screening criteria, has recommended that several risk factors be investigated for use among older adults. Recent longitudinal studies have found that a number of risk factors persist with advancing age-hypertension, left ventricular hypertrophy, impaired glucose metabolism, elevated cholesterol levels, obesity, smoking, physical inactivity, decline in vital capacity, and increased heart rate. Screening to identify many of these risks and treatment and counseling to modify them appear to improve survival. Evidence is less clear that diabetes mellitus and elevated cholesterol levels have the same significance for men and women as they age. Left ventricular hypertrophy and diabetes seem particularly important as risk factors for older women, whereas a high heart rate may be a greater risk for men.     

Body Compartment and Subcutaneous Adipose Tissue Distribution - Risk Factor Patterns in Obese Subjects

The purpose of this study was to investigate whether upper body obesity and/or visceral obesity are related to cardiovascular risk factors among severely obese subjects, phenomena that have previously been reported in more heterogeneous body weight distri -buttons. 2450 severely obese men and women aged 37 to 59 years, with a body mass index of 39 ± 4.5 kg/m² (mean ± SD) were examined cross-sectionally. Eight cardiovascular risk factors were studied in relation. to the following body composition indicators: four trunk and three limb circumferences, along with weight, height and sagittal trunk diameter. From the latter three measurements lean body mass (LBM, i.e., the non-adipose tissue mass) and the masses of subcutaneous and visceral adipose tissue were estimated by using sex-specific prediction equations previously calibrated by computed tomography. Two risk factor patterns could be distinguished: 1. One body compartment- risk factor pattern in which the subcutaneous adipose tissue (AT) mass and, in particular, the visceral AT mass were positively related to most risk factors while the lean body mass was negatively related to some risk factors. 2. One subcutaneous adipose tissue distribution- risk factor pattern in which the neck circumference was positively and the thigh circumference negatively related to several risk factors. It is concluded that lean body mass (LBM), visceral and subcutaneous adipose tissue masses as well as neck and thigh circumferences, used as indices of subcutaneous adipose tissue distribution, are independently related to cardiovascular risk factors in severely obese men and women.     

Heritability of Longitudinal Changes in Coronary-Heart-Disease Risk Factors in Women Twins

Numerous studies have demonstrated genetic influences on levels of coronary heart disease (CHD) risk factors, but there also may be genetic effects on the intraindividual variation in these risk factors over time. Changes in risk factors are likely to reflect genetic-environmental interactions and may have important implications for understanding CHD risk. The present study examines the heritability of changes in CHD risk factors, using data from the two examinations by the Kaiser Permanente Women Twins Study, performed a decade apart. The sample consisted of 348 pairs of women twins who participated in both examinations, including 203 MZ pairs and 145 DZ pairs. Average ages at the two examinations were 41 and 51 years, respectively. By means of three different statistical analytic approaches, moderate heritability estimates were demonstrated for changes in LDL cholesterol (h2 = .25-.36) and in HDL cholesterol (h2 = .23-.58), some of which were statistically significant. Although small to moderate heritability estimates were found for systolic blood pressure (.18-.37; P < .05 for some estimates), no genetic influence on changes in diastolic blood pressure was detected. Based on longitudinal twin data in women, this study demonstrates a genetic influence on changes in both lipoprotein risk factors and systolic blood pressure over a decade. In addition to environmental factors, which clearly are operating, the effect of various "variability genes" may be acting independently of the genetic influences on the absolute levels of these risk factors. Both mapping the gene(s) underlying intraindividual variations in these CHD risk factors and understanding their function(s) could lead to targeted intervention strategies to reduce CHD risk among genetically susceptible individuals.     

The impact of age on genetic risk for common diseases

Inherited genetic variation contributes to individual risk for many complex diseases and is increasingly being used for predictive patient stratification. Previous work has shown that genetic factors are not equally relevant to human traits across age and other contexts, though the reasons for such variation are not clear. Here, we introduce methods to infer the form of the longitudinal relationship between genetic relative risk for disease and age and to test whether all genetic risk factors behave similarly. We use a proportional hazards model within an interval-based censoring methodology to estimate age-varying individual variant contributions to genetic relative risk for 24 common diseases within the British ancestry subset of UK Biobank, applying a Bayesian clustering approach to group variants by their relative risk profile over age and permutation tests for age dependency and multiplicity of profiles. We find evidence for age-varying relative risk profiles in nine diseases, including hypertension, skin cancer, atherosclerotic heart disease, hypothyroidism and calculus of gallbladder, several of which show evidence, albeit weak, for multiple distinct profiles of genetic relative risk. The predominant pattern shows genetic risk factors having the greatest relative impact on risk of early disease, with a monotonic decrease over time, at least for the majority of variants, although the magnitude and form of the decrease varies among diseases. As a consequence, for diseases where genetic relative risk decreases over age, genetic risk factors have stronger explanatory power among younger populations, compared to older ones. We show that these patterns cannot be explained by a simple model involving the presence of unobserved covariates such as environmental factors. We discuss possible models that can explain our observations and the implications for genetic risk prediction.