We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci, 135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency <5%, 14 with estimated allelic odds ratio >2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence).Combining 32 genome-wide association studies with high-density imputation provides a comprehensive view of the genetic contribution to type 2 diabetes in individuals of European ancestry with respect to locus discovery, causal-variant resolution, and mechanistic insight.

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

The genetic architecture of type 2 diabetes

Circulating microRNAs as clinically useful biomarkers for Type 2 Diabetes Mellitus: miRNomics from bench to bedside

Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10−8) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD.

A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes

The c.40_42delAGA variant in the phospholamban gene (PLN) has been associated with dilated and arrhythmogenic cardiomyopathy, with up to 70% of carriers experiencing a major cardiac event by age 70. However, there are carriers who remain asymptomatic at older ages. To understand the mechanisms behind this incomplete penetrance, we evaluated potential phenotypic and genetic modifiers in 74 PLN:c.40_42delAGA carriers identified in 36,339 participants of the Lifelines population cohort. Asymptomatic carriers ( N  = 48) showed shorter QRS duration (− 5.73 ms, q value = 0.001) compared to asymptomatic non-carriers, an effect we could replicate in two different independent cohorts. Furthermore, symptomatic carriers showed a higher correlation ( r _Pearson = 0.17) between polygenic predisposition to higher QRS (PGS_QRS) and QRS ( p value = 1.98 × 10^–8), suggesting that the effect of the genetic variation on cardiac rhythm might be increased in symptomatic carriers. Our results allow for improved clinical interpretation for asymptomatic carriers, while our approach could guide future studies on genetic diseases with incomplete penetrance. Graphical abstract

Phenotypic and Genetic Factors Associated with Absence of Cardiomyopathy Symptoms in PLN:c.40_42delAGA Carriers

Over the past three decades, the number of people globally with diabetes mellitus has more than doubled. It is estimated that by 2030, 439 million people will be suffering from the disease, 90-95% of whom will have type 2 diabetes (T2D). In 2017, 5 million deaths globally were attributable to T2D, placing it in the top 10 global causes of death. Because T2D is a result of both genetic and environmental factors, identification of individuals with high genetic risk can help direct early interventions to prevent progression to more serious complications. Genome-wide association studies have identified ~400 variants associated with T2D that can be used to calculate polygenic risk scores (PRS). Although PRSs are not currently more accurate than clinical predictors and do not yet predict risk with equal accuracy across all ethnic populations, they have several potential clinical uses. Here, we discuss potential usages of PRS for predicting T2D and for informing and optimising interventions. We also touch on possible health inequality risks of PRS and the feasibility of large-scale implementation of PRS in clinical practice. Before PRSs can be used as a therapeutic tool, it is important that further polygenic risk models are derived using non-European genome-wide association studies to ensure that risk prediction is accurate for all ethnic groups. Furthermore, it is essential that the ethical, social and legal implications of PRS are considered before their implementation in any context.

/pdf/could-personalised-risk-prediction-for-type-2-diabetes-using-qvv7u4fnvx.pdf

Could personalised risk prediction for type 2 diabetes using polygenic risk scores direct prevention, enhance diagnostics, or improve treatment?

The present study aimed at the translation and cross-cultural adaptation of six PROMIS® pediatric self- and proxy- item banks and short forms to universal German: anxiety (ANX), anger (ANG), depressive symptoms (DEP), Fatigue (FAT), pain interference (P) and peer relationships (PR).Using standardized methodology approved by the PROMIS Statistical Center and in line with recommendations of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) PRO Translation Task Force, two translators for each German-speaking country (Germany, Austria, and Switzerland) commented on and rated the translation difficulty and provided forward translations, followed by a review and reconciliation phase. An independent translator performed back translations, which were reviewed and harmonized. The items were tested in cognitive interviews with 58 children and adolescents from Germany (16), Austria (22), and Switzerland (20) for the self-report and 42 parents and other caregivers (Germany (12), Austria (17), and Switzerland (13)) for the proxy-report.Translators rated the translation difficulty of most items (95%) as easy or feasible. Pretesting showed that items of the universal German version were understood as they were intended, as only 14 out of 82 items of the self-report and 15 out of 82 items of the proxy-report versions required minor rewording. However, on average German translators rated the items more difficult to translate (M = 1.5, SD = 0.20) than the Austrian (M = 1.3, SD = 0.16) and the Swiss translators (M = 1.2, SD = 0.14) on a three-point Likert scale.The translated German short forms are ready for use by researchers and clinicians ( https://www.healthmeasures.net/search-view-measures ).A multitude of questionnaires exist, which are not comparable due to different questions or no available translations. PROMIS is an initiative, which was funded by the National Institute of Health in the US, to build better, i.e., more precise and efficient questionnaires, which can be used and compared worldwide. The PROMIS questionnaires include paper-and-pencil short forms and computerized adaptive tests. So far numerous PROMIS surveys have been created using advanced methodologies. They can be used by health care professionals to assess different aspects of health and compare the results internationally. To allow for international comparability of studies using those questionnaires, they need to be translated. This study reports the thorough translation process of the US-American PROMIS® questionnaires measuring anxiety, anger, depressive symptoms, fatigue, pain interference, and peer relationships in children and adolescents into German. The translation included researchers, children, and parents from Germany, Austria, and Switzerland to ensure that the final German version is fully and equally well understood in all of those German-speaking countries. The article describes the translation process, so that the user can understand the translations and use them in an informed way. The translated German questionnaires are ready for use by researchers and clinicians. ( https://www.healthmeasures.net/search-view-measures ). 

/pdf/german-translation-of-the-promis-r-pediatric-anxiety-anger-31h8pck3.pdf

German translation of the PROMIS® pediatric anxiety, anger, depressive symptoms, fatigue, pain interference and peer relationships item banks

Affective dysregulation (AD) is characterized by irritability, severe temper outbursts, anger, and unpredictable mood swings, and is typically classified as a transdiagnostic entity. A reliable and valid measure is needed to adequately identify children at risk of AD. This study sought to validate a parent-rated screening questionnaire, which is part of the comprehensive Diagnostic Tool for Affective Dysregulation in Children (DADYS-Screen), by analyzing relationships with comprehensive measures of AD and related mental disorders in a community sample of children with and without AD. The sample comprised 1114 children aged 8-12 years and their parents. We used clinical, parent, and child ratings for our analyses. Across all raters, the DADYS-Screen showed large correlations with comprehensive measures of AD. As expected, correlations were stronger for measures of externalizing symptoms than for measures of internalizing symptoms. Moreover, we found negative associations with emotion regulation strategies and health-related quality of life. In receiver operating characteristic (ROC) analyses, the DADYS-Screen adequately identified children with AD and provided an optimal cut-off. We conclude that the DADYS-Screen appears to be a reliable and valid measure to identify school-aged children at risk of AD. 

/pdf/screening-for-affective-dysregulation-in-school-aged-3iesthfp.pdf

Screening for affective dysregulation in school-aged children: relationship with comprehensive measures of affective dysregulation and related mental disorders

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Could personalised risk prediction for type 2 diabetes using polygenic risk scores direct prevention, enhance diagnostics, or improve treatment?

German translation of the PROMIS® pediatric anxiety, anger, depressive symptoms, fatigue, pain interference and peer relationships item banks

Screening for affective dysregulation in school-aged children: relationship with comprehensive measures of affective dysregulation and related mental disorders