This study aimed to evaluate the association between follicle-stimulating hormone (FSH) hormone efficacy and FSHR, CYP19, ESR1 and ESR2 genes using single nucleotide polymorphism analyses. One hundred and seventy women with conserved ovarian function undergoing controlled ovarian stimulation (COS) with daily exogenous recombinant FSH administration. Women were categorized as poor responders to FSH (three or less ovarian follicles observed at the end of cycle) or normal responders (more than three follicles). The outcome is the number of normal/poor responders as defined by the number of follicles obtained during COS. The DNA markers studied are located in genes related to the FSH mechanism of action (FSH receptor, CYP19 aromatase and oestrogen receptors alpha and beta genes). We conducted an association study between the COS outcome and selected DNA markers using two-point and multi-locus genetic association studies. Genotype pattern tracking in extreme phenotypes and multi-locus analysis using Sumstat and PM algorithms provided significant evidences of genetic interaction between FSHR, ESR1 and ESR2 markers in relation to COS outcome (P = 0.0015). Our results support the hypothesis that a discrete set of genes, related to the FSH hormone mechanism of action, controls the ovarian response to FSH in humans. An oligogenic model including specific FSHR, ESR1 and ESR2 genotype patterns may partially explain the poor response to FSH hormone during controlled ovarian stimulation treatments. The existence of genetic heterogeneity is also suspected.

BackgroundIn order to identify novel loci associated with Alzheimer's disease (AD), we conducted a genome-wide association study (GWAS) in the Spanish population.MethodsWe genotyped 1,128 individuals using the Affymetrix Nsp I 250K chip. A sample of 327 sporadic AD patients and 801 controls with unknown cognitive status from the Spanish general population were included in our initial study. To increase the power of the study, we combined our results with those of four other public GWAS datasets by applying identical quality control filters and the same imputation methods, which were then analyzed with a global meta-GWAS. A replication sample with 2,200 sporadic AD patients and 2,301 controls was genotyped to confirm our GWAS findings.ResultsMeta-analysis of our data and independent replication datasets allowed us to confirm a novel genome-wide significant association of AD with the membrane-spanning 4-domains subfamily A (MS4A) gene cluster (rs1562990, P = 4.40E-11, odds ratio = 0.88, 95% confidence interval 0.85 to 0.91, n = 10,181 cases and 14,341 controls).ConclusionsOur results underscore the importance of international efforts combining GWAS datasets to isolate genetic loci for complex diseases.

BackgroundThe difficulty in elucidating the genetic basis of complex diseases roots in the many factors that can affect the development of a disease. Some of these genetic effects may interact in complex ways, proving undetectable by current single-locus methodology.ResultsWe have developed an analysis tool called Hypothesis Free Clinical Cloning (HFCC) to search for genome-wide epistasis in a case-control design. HFCC combines a relatively fast computing algorithm for genome-wide epistasis detection, with the flexibility to test a variety of different epistatic models in multi-locus combinations. HFCC has good power to detect multi-locus interactions simulated under a variety of genetic models and noise conditions. Most importantly, HFCC can accomplish exhaustive genome-wide epistasis search with large datasets as demonstrated with a 400,000 SNP set typed on a cohort of Parkinson's disease patients and controls.ConclusionWith the current availability of genetic studies with large numbers of individuals and genetic markers, HFCC can have a great impact in the identification of epistatic effects that escape the standard single-locus association analyses.

Systemic hyperammonemia has been largely found in patients with cirrhosis and hepatic encephalopathy, and ammonia plays a major role in the pathogenesis of hepatic encephalopathy. However, controversial points remain: a) the correlation between plasma ammonia levels and neurophysiological impairment. The lack of correlation between ammonia levels and grade of hepatic encephalopathy in some cases has been considered a weakness of the ammonia hypothesis, but new methods for ammonia measurements and the implication of systemic inflammation in the modulation of ammonia neurotoxicity could explain this gap; b) the source of ammonia production. Hyperammonemia has been considered as derived from urea breakdown by intestinal bacteria and the majority of treatments were targeted against bacteria-derived ammonia from the colon. However, some data suggest an important role for small intestine ammonia production: 1) the hyperammonemia after porto-caval shunted rats has been found similar in germ-free than in non-germ-free animals. 2) In cirrhotic patients the greatest hyperammonemia was found in portal drained viscera and derived mainly from glutamine deamination. 3) The amount of time required to increase of ammonia (less than one hour) after oral glutamine challenge supports a small intestine origin of the hyperammonemia. As the main source of ammonia in cirrhotics derives from portal drained viscera owing to glutamine deamidation, increased glutaminase activity in the intestine seems to be responsible for systemic hyperammonemia. Lastly, some genetic alterations in the glutaminase gene such as the haplotype TACC could modulate intestinal ammonia production and the risk of overt hepatic encephalopathy in cirrhotics.

BackgroundGenetic admixture is a common caveat for genetic association analysis. Therefore, it is important to characterize the genetic structure of the population under study to control for this kind of potential bias.ResultsIn this study we have sampled over 800 unrelated individuals from the population of Spain, and have genotyped them with a genome-wide coverage. We have carried out linkage disequilibrium, haplotype, population structure and copy-number variation (CNV) analyses, and have compared these estimates of the Spanish population with existing data from similar efforts.ConclusionsIn general, the Spanish population is similar to the Western and Northern Europeans, but has a more diverse haplotypic structure. Moreover, the Spanish population is also largely homogeneous within itself, although patterns of micro-structure may be able to predict locations of origin from distant regions. Finally, we also present the first characterization of a CNV map of the Spanish population. These results and original data are made available to the scientific community.