Correction:Prevalence and Cardiovascular Associations of Diabetic Retinopathy and Maculopathy: Results from the Gutenberg Health Study

Diabetic retinopathy (DR) is the leading cause of blindness in people of working age. The purpose of this paper is to report the prevalence and cardiovascular associations of diabetic retinopathy and maculopathy (DMac) in Germany.The Gutenberg Health Study (GHS) is a population-based study with 15,010 participants aged between 35 at 74 years from the city of Mainz and the district of Mainz-Bingen. We determined the weighted prevalence of DR and DMac by assessing fundus photographs of persons with diabetes from the GHS data base. Diabetes was defined as HbA1c ≥ 6.5%, known diagnosis diabetes mellitus or known diabetes medication. Furthermore, we analysed the association between DR and cardiovascular risk factors and diseases.Overall, 7.5% (1,124/15,010) of the GHS cohort had diabetes. Of these, 27.7% were unaware of their disease and thus were newly diagnosed by their participation in the GHS. The prevalence of DR and DMac was 21.7% and 2.3%, respectively among patients with diabetes. Vision-threatening disease was present in 5% of the diabetic cohort. In the multivariable analysis DR (all types) was associated with age (Odds Ratio [95% confidence interval]: 0.97 [0.955-0.992]; p = 0.006) arterial hypertension (1.90 [1.190-3.044]; p = 0.0072) and vision-threatening DR with obesity (3.29 [1.504-7.206]; p = 0.0029). DR (all stages) and vision-threatening DR were associated with duration of diabetes (1.09 [1.068-1.114]; p<0.0001 and 1.18 [1.137-1.222]; p<0.0001, respectively).Our calculations suggest that approximately 142 000 persons aged between 35 and 74 years have vision threatening diabetic retinal disease in Germany [corrected].Prevalence of DR was lower in the GHS compared to East-Asian studies. Associations were found with age, arterial hypertension, obesity, and duration of diabetes mellitus

Novel genetic loci associated with hippocampal volume

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg =-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness

Genetic architecture of subcortical brain structures in 38,851 individuals

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease

Novel genetic loci underlying human intracranial volume identified through genome-wide association

Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five novel loci for intracranial volume and confirmed two known signals. Four of the loci are also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (ρgenetic=0.748), which indicated a similar genetic background and allowed for the identification of four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, Parkinson’s disease, and enriched near genes involved in growth pathways including PI3K–AKT signaling. These findings identify biological underpinnings of intracranial volume and provide genetic support for theories on brain reserve and brain overgrowth

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Prevalence of age-related macular degeneration in a large European cohort : results from the population-based Gutenberg Health Study

BACKGROUND: The aim of this study was to describe the sex prevalence of age-related macular degeneration (AMD) and its correlation with urban or rural residence in a large and relatively young European cohort. METHODS: We evaluated fundus photographs from participants in the Gutenberg Health Study (GHS), a population-based, prospective, observational, single-centre study in the Rhineland-Palatine region in midwestern Germany. The participants were 35-74 years of age at enrolment. The fundus images were classified as described in the Rotterdam Study and were graded independently by two experienced ophthalmologists (CK and UBK) based on the presence of hard and soft drusen, retinal pigmentary abnormalities, and signs of atrophic or neovascular age-related macular generation (AMD). RESULTS: Photographs from 4,340 participants were available for grading. Small, hard drusen (<63 mum, stages 0b and 0c) were present in 37.4% of participants (95% confidence interval [CI], stage 0b, 31.6% [30.3-33.7]; stage 0c, 5.8% [5.1-6.5]). Early AMD (soft drusen, pigmentary abnormalities, stages 1-3) was present in 3.8% of individuals in the youngest age group (35-44 years) (95% CI, stage 1a, 0.4% [0.3-0.5%]; stage 1b, 3.2% [2.9-3.5%]; stage 2a, 0.1% [0.1-0.2%]; stage 2b, 0% [0-0.0%]; stage 3, 0.1% [0.1-0.2%]), whereas late AMD (stages 4a and 4b) did not appear in the youngest age group. In all age groups, signs of early AMD were detected in 11.9% of individuals (stage 1a, 2.1% [1.7-2.6]; stage 1b, 8.0% [7.2-8.8]; stage 2a, 1.0% [0.7-1.3]; stage 2b, 0.5% [0.3-0.7]; stage 3, 0.3% [0.2-0.6]). Late AMD (geographic atrophy or neovascular AMD) was found in 0.2% of individuals (stage 4a, 0.1 % [0.0-0.2]; stage 4b, 0.1% [0.0-0.2]). AMD increased significantly with age (odds ratio [OR], 1.09; 95% CI, 1.08-1.10). Sex, iris colour, and residence (rural vs. urban) were not associated with different rates of AMD. CONCLUSIONS: In this study, the prevalence of AMD increased dramatically with age; however, although AMD is usually thought to occur after age 50, signs of early AMD were found in 3.8% of individuals in the youngest age group (younger than 45 years). This population-based sample is the first to provide substantial epidemiologic data from a large German cohort, including data on macular degeneration in younger age groups and incidence data after recall