The genetic architecture of the human cerebral cortex

INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 306 nominally genome-wide significant loci (P < 5 × 10−8) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 299 loci for which replication data were available, 241 loci influencing surface area and 14 influencing thickness remained significant after replication, with 199 loci passing multiple testing correction (P < 8.3 × 10−10; 187 influencing surface area and 12 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation (rG = −0.32, SE = 0.05, P = 6.5 × 10−12), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 10 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function

Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol- increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels

Utilitarian bioethics?: market fetishism in the GM crops debate

In the early debate over agricultural biotechnology, the term 'risk' was used to challenge the legitimacy and problem-definitions of the dominant R&D priorities. In response, state procedures were designed to fragment the issues through separate administrative procedures for safety and bioethics. With the advent of mass protest and intense public debate, 'bioethics' has again been contested, now more clearly linked with globalization and development issues. Even within ethics discourse, utilitarian concepts are used to emphasize tangible product benefits, which are defined according to particular socio-economic assumptions. These assume that food insecurity results from inefficient agricultural methods and deficient inputs. More fundamentally, such favourable arguments idealize 'the market' as a quasi-natural force which somehow judges and distributes benefits of products. This pervasive utilitarian ideology is reinforced by the report of the Nuffield Council on Bioethics. As investors devise political-commercial strategies for commoditizing plant resources and intensifying global competition among producers, these forces are fetishized as 'the market', as if given by the nature of things. At the same time, when consumers demand different market choices, their rationality is questioned. This response extends the original 'utilitarian' ideology -- by naturalizing the commodization process, while disparaging any resistance as illegitimate interference with progress. In this form, utilitarian bioethics delinks R&D priorities from the relevant forces -- which shape the 'market demand', subordinate resource use to market relations, and marginalize practices outside such relations

Allelic imbalance analysis using a single-nucleotide polymorphism microarray for the detection of bladder cancer recurrence.

Contains fulltext : 69674.pdf (publisher's version ) (Closed access)PURPOSE: Non-muscle-invasive bladder cancer is a frequently occurring cancer, with an extremely high recurrence risk. Recurrence detection is based on cytology and urethrocystoscopy. A previous study suggested that a single-nucleotide polymorphism (SNP) array may be effective for noninvasive detection of allelic imbalances in urine. We investigated whether this method is suitable to detect allelic imbalance as an indicator of recurrences in non-muscle-invasive bladder cancer follow-up. EXPERIMENTAL DESIGN: DNA from blood and urine from 158 patients (113 with and 45 without recurrence) was hybridized to the Affymetrix GeneChip Mapping 10K 2.0. Allelic imbalance detection was based on SNPs showing changes from heterozygosity in blood to homozygosity in urine and on automatic analysis of copy number changes using Copy Number Analyser for GeneChip. RESULTS: Urine samples with tumor showed allelic imbalance at 0.4% of all informative SNPs. In samples without tumors, 0.04% of these SNPs were affected (P = 0.07). In addition, Copy Number Analyser for GeneChip analysis showed more copy number changes in samples with a tumor (P = 0.001). Losses and gains of chromosomal regions showed clustering, overlapping with known bladder cancer loci. However, 25 (22%) patients with a tumor recurrence did not display any regions with copy number changes, whereas 24 (53%) individuals without a recurrence did. Receiver operating characteristic curve analysis using the number of SNPs displaying copy number changes from the Copy Number Analyser for GeneChip analysis resulted in an area under the curve of only 0.67 (95% confidence interval, 0.58-0.76). CONCLUSION: Single-nucleotide polymorphism microarray analysis of allelic imbalance in urine cannot replace urethrocystoscopy and cytology for the detection of recurrences in non-muscle-invasive bladder cancer follow-up

A genome-wide association study identifies a region at chromosome 12 as a potential susceptibility locus for restenosis after percutaneous coronary intervention

Percutaneous coronary intervention (PCI) has become an effective therapy to treat obstructive coronary artery diseases (CAD). However, one of the major drawbacks of PCI is the occurrence of restenosis in 5-25% of all initially treated patients. Restenosis is defined as the re-narrowing of the lumen of the blood vessel, resulting in renewed symptoms and the need for repeated intervention. To identify genetic variants that are associated with restenosis, a genome-wide association study (GWAS) was conducted in 295 patients who developed restenosis (cases) and 571 who did not (controls) from the GENetic Determinants of Restenosis (GENDER) study. Analysis of ~550 000 single nucleotide polymorphisms (SNPs) in GENDER was followed by a replication phase in three independent case-control populations (533 cases and 3067 controls). A potential susceptibility locus for restenosis at chromosome 12, including rs10861032 (P(combined) = 1.11 × 10(-7)) and rs9804922 (P(combined) = 1.45 × 10(-6)), was identified in the GWAS and replication phase. In addition, both SNPs were also associated with coronary events (rs10861032, P(additive) = 0.005; rs9804922, P(additive) = 0.023) in a trial based cohort set of elderly patients with (enhanced risk of) CAD (PROSPER) and all-cause mortality in PROSPER (rs10861032, P(additive) = 0.007; rs9804922, P(additive) = 0.013) and GENDER (rs10861032, P(additive) = 0.005; rs9804922, P(additive) = 0.023). Further analysis suggests that this locus could be involved in regulatory functions