Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10–20% (14–24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.

Background: Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. Methods: To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loci via GWAS and via a candidate approach based on 14 previously suggested early AMD variants.

Diabetes mellitus (DM) is the most commonly occurring cause of neuropathy around the world and is beginning to grow in countries where there is a risk of obesity. DM Type II, (T2DM) is a common age-related disease and is a major health concern, particularly in developed countries in Europe where the population is aging. T2DM is a chronic disease which is characterised by hyperglycemia, hyperinsulinemia and insulin resistance, together with the body's inability to use glucose as energy. Such metabolic disorder produces a chronic inflammatory state, as well as changes in lipid metabolism leading to hypertriglyceridemia, thereby producing chronic deterioration of the organs and premature morbidity and mortality. The pathology's effects increase cerebral damage, leading to the rapid onset of neurodegenerative diseases. Hyperglycemia causes oxidative stress in tissues which are susceptible to the complications involved in diabetes, including peripheral nerves. Other additional mechanisms include activation of polyol aldose reductase signalling accompanied by protein kinase C (PKC)-ß activation, poly(ADP ribose) polymerase activation, cyclooxygenase (COX) 2 activation, endothelial dysfunction, altered Na+/K+ ATPase pump function, dyslipidaemia and perturbation of calcium balance. All the forgoing has an impact on neuron activity, mitochondrial function, membrane permeability and endothelial function. These biochemical processes directly affect the neurons and endothelial tissue, thereby accelerating cerebral aging by means of peroxidation of the polyunsaturated fatty acids and thus injuring cell membrane integrity and inducing apoptosis in the glial cells. The Central Nervous System (CNS) includes two types de glial cells: microglia and macroglia (astrocytes, oligodendrocytes and radial cells which include Bergmann cells and Müller cells). Glial cells constitute more than 90% of the CNS cell population. Human studies have shown that some oral antidiabetic drugs can improve cognition in patients suffering mild cognitive impairment (MCI) and dementia [1, 2]. While it is still unclear whether diabetes management will reduce MCI and Alzheimer's disease (AD), incidence, emerging evidence suggests that diabetes therapies may improve cognitive function. This review focuses three aspects: the clinical manifestation of diabetes regarding glial and neuronal cells, the association between neurodegeneration and diabetes and summarises some of the pharmacogenomic data obtained from studies of T2DM treatment, focusing on polymorphisms in genes affecting pharmacokinetics, pharmacodynamics and treatment outcome of the most commonly-prescribed oral anti-diabetic drugs (OADs).

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