Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Penetrance of variants in monogenic disease and clinical utility of common polygenic variation has not been well explored on a large-scale. Here, the authors use exome sequencing data from 77,184 individuals to generate penetrance estimates and assess the utility of polygenic variation in risk prediction of monogenic variants

Genetic Drivers of Heterogeneity in Type 2 Diabetes Pathophysiology

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P \u3c 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P &lt; 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.</p

Repositioning of the global epicentre of non-optimal cholesterol

High blood cholesterol is typically considered a feature of wealthy western countries(1,2). However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world(3) and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health(4,5). However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular riskchanged from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.Peer reviewe

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions

Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Background Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods We used data from 1990 to 2019 on people aged 30–79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings The number of people aged 30–79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306–359) million women and 317 (292–344) million men in 1990 to 626 (584–668) million women and 652 (604–698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55–62) of women and 49% (46–52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43–51) of women and 38% (35–41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20–27) for women and 18% (16–21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings

Applicability of Framingham risk equations for studying a low-income mexican population Aplicabilidad del puntaje de Framingham en población mexicana de nivel socioeconómico bajo

OBJECTIVE: To compare the predicted risk of coronary heart disease (CHD) and incident myocardial infarction (MI) using Framingham score equations with the observed rate of MI in Mexican subjects. MATERIAL AND METHODS: Longitudinal study that included 1 667 men and women aged 35 to 64 years without MI at baseline. Incident MI was defined by electrocardiogram or death certificate. The predicted risk of fatal MI, non-fatal MI, and both was calculated using Framingham score equations. Predicted to observed risk ratio of MI was estimated. RESULTS: There were 34 incident MI cases and 24 MI deaths (median follow-up 6.2 years). The score equations overestimated the prediction of incident MI and CHD death (ratio 2.27, 95% CI, 1.19-3.34) and incident MI (ratio 2.36, 95% CI, 1.07-3.65) in men. CONCLUSIONS: The Framingham score overestimated incident MI and CHD death risk in men; however, other studies are needed to confirm our results for recalibrating the score for Mexican subjects.OBJETIVO: Comparar el riesgo predicho y observado de enfermedad coronaria (EC) e infarto al miocardio (IM) usando ecuaciones del puntaje de Framingham en individuos mexicanos. MATERIAL Y MÉTODOS: Estudio longitudinal de 1 667 hombres y mujeres de entre 35 a 64 años de edad y sin IM en la medición basal. IM se definió por electrocardiograma o certificado de defunción. Se estimó el riesgo predicho y la razón del riesgo predicho y observado de IM. RESULTADOS: Durante el seguimiento (mediana de 6.2 años) hubo 34 casos y 24 defunciones por IM. El puntaje sobreestimó la predicción de IM y muerte por EC (razón 2.27, IC 95% 1.19-3.34) e IM incidente (razón 2.36, IC 95% 1.07-3.65) en hombres. CONCLUSIONES: En este estudio, el puntaje de Framingham sobreestimó el riesgo de IM y muerte por IM en hombres; sin embargo, estos resultados necesitan ser confirmados por otros estudios, para la posterior recalibración del puntaje en población mexicana

Consenso para las prácticas de alimentación complementaria en lactantes sanos

ResumenLa nutrición adecuada durante los primeros dos años de vida es fundamental para el desarrollo pleno del potencial de cada ser humano; actualmente se reconoce que este periodo es una ventana crítica para la promoción de un crecimiento y desarrollo óptimos y un buen estado de salud. Por tanto, cumplir con una alimentación adecuada en esta etapa de la vida tiene impacto sobre la salud, estado de nutrición, crecimiento y desarrollo de los niños; no sólo en el corto plazo, sino en el mediano y largo plazo. El presente trabajo ofrece recomendaciones de alimentación complementaria (AC) que se presentan en forma de preguntas o enunciados que consideran temas importantes para quienes atienden niños durante esta etapa de la vida; por ejemplo: inicio de la alimentación complementaria a los 4 o 6 meses de edad; exposición a alimentos potencialmente alergénicos; introducción de bebidas azucaradas; uso de edulcorantes artificiales y productos light; secuencia de introducción de alimentos; modificaciones de consistencia de alimentos de acuerdo a la maduración neurológica; número de días para probar aceptación y tolerancia a los alimentos nuevos; cantidades por cada tiempo de comida; prácticas inadecuadas de alimentación complementaria; mitos y realidades de la alimentación complementaria; hitos del desarrollo; práctica del “Baby Led Weaning” y práctica de vegetarianismo.AbstractA proper nutrition during the first two years of life is critical to reach the full potential of every human being; now, this period is recognized as a critical window for promoting optimal growth, development, and good health. Therefore, adequate feeding at this stage of life has an impact on health, nutritional status, growth and development of children; not only in the short term, but in the medium and long term. This paper provides recommendations on complementary feeding (CF) presented as questions or statements that are important for those who take care for children during this stage of life. For example: When to start complementary feedings: 4 or 6 months of age?; Exposure to potentially allergenic foods; Introduction of sweetened beverages; Use of artificial sweeteners and light products; Food introduction sequence; Food consistency changes according to neurological maturation; Number of days to test acceptance and tolerance to new foods; Amounts for each meal; Inadequate complementary feeding practices; Myths and realities of complementary feeding; Developmental milestones; Practice of “Baby Led Weaning” and practice of vegetarianism

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.

Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias