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The advent of high-throughput sequencing technology has resulted in the ability to measure millions of single-nucleotide polymorphisms (SNPs) from thousands of individuals. Although these high-dimensional data have paved the way for better understanding of the genetic architecture of common diseases, they have also given rise to challenges in developing computational methods for learning epistatic relationships among genetic markers. We propose a new method, named cuckoo search epistasis (CSE) for identifying significant epistatic interactions in population-based association studies with a case-control design. This method combines a computationally efficient Bayesian scoring function with an evolutionary-based heuristic search algorithm, and can be efficiently applied to high-dimensional genome-wide SNP data. The experimental results from synthetic data sets show that CSE outperforms existing methods including multifactorial dimensionality reduction and Bayesian epistasis association mapping. In addition, on a real genome-wide data set related to Alzheimer's disease, CSE identified SNPs that are consistent with previously reported results, and show the utility of CSE for application to genome-wide data.

Arab horse is a popular pure breed in Iran and is registered by World Arabian Horse Organization (WAHO). There is no scientific study and research about this breed. In this research 13 conformation traits on a random sample of the Iranian Arab horses studied. The estimate of variance components estimated by Animal Model and Derivative Free Restricted Maximum Likelihood (DF-REML) approach and DF-REML software. Heritability of conformation traits is also evaluated. The range of estimated heritability were (0.050 +/- 0.008) neck length and (0.614 +/- 0.087) croup height. Results indicated that, conformation traits were good traits for selection and horse genetic evaluation.

IntroductionOsteoarthritis is the most prevalent chronic non-infective joint arthritis. Because of its chronic disease nature, local drugs are preferred due to lower complications. In the present study, the new herbal pomade Marhame-Mafasel for knee osteoarthritis was used in a double-blind crossover trial.The aim of the study was to assess the efficacy and safety of Marhame-Mafasel pomade, which consists of several medical herbs including Arnebia euchroma and Matricaria chamomilla, in osteoarthritis of the knee.Material and methodsThis study was a placebo-controlled double-blind crossover trial. Forty-two patients with pain associated with osteoarthritis of the knee (diagnosed by criteria of the European League against Rheumatism and physical examination) were drawn from patients attending the Clinic of Mostafa-Khomeini Hospital. In this study we assessed efficacy (analgesic effect and improved function) of herbal pomade Marhame-Mafasel, which was used locally in patients with primary osteoarthritis of the knee over three weeks. The instrument of the study was the Western Ontario and McMaster Universities (WOMAC) LK3.1 standard questionnaires.ResultsThe participants in each group were 21 patients; 30 (71.4%) were women and 12 (28.6%) of them were men. The participants were between 40 and 76 years old. Six patients had mild arthritis, 15 had moderate arthritis and 21 had severe arthritis. The positive analgesic effect of the herbal pomade Marhame-Mafasel in primary knee osteoarthritis was proven. The herbal joint pomade Marhame-Mafasel had a significantly greater mean change in score compared to the placebo group for osteoarthritis severity (p < 0.05).ConclusionsHerbal pomade Marhame-Mafasel in comparison to placebo has more effect on reduction of pain of primary knee osteoarthritis.