Knowledge and attitudes of physicians in private practice towards HIV/AIDS in Mashhad, Iran.

Being responsible for providing care for HIV/AIDS in a society, physicians should be knowledgeable and have favourable attitudes. We designed a cross-sectional study to assess knowledge and attitudes towards HIV/AIDS of private practicing physicians in Mashhad, Iran. A total of 346 general practitioners and specialists completed anonymous self-administered questionnaires with response rate of 91.1%. For knowledge questions, the mean proportion of correct responses was 53.5% (±13.2). Misconceptions about HIV transmission were the main areas of insufficient knowledge. Surprisingly only 20% knew how to manage a patient who had experienced sexual contact with an HIV-positive partner. While 84% disagreed that 'HIV-infected individuals deserved to catch infection' owing to high-risk behaviours, 38% sympathized less with people who were infected via extramarital sex. It seems that knowledge and attitudes towards HIV/AIDS among the studied physicians is not favourable and is an area that requires attention to enable effective management of the disease in Iran.

QTL mapping of complex binary traits in an advanced intercross line.

An advanced intercross line (AIL) is an easier and more cost-effective approach compared to recombinant inbred lines for fine mapping of quantitative trait loci (QTL) identified by F(2) designs. In an AIL, a complex binary trait can be mapped through analysis of either continuously distributed proxy traits for the liability of the binary trait or the liability itself, the latter presenting the greater statistical challenge. In another work, we successfully applied both approaches in an AIL to fine map previously identified QTL underlying anatomical parameters of the cardiac inter-atrial septum including patent foramen ovale. Here, we describe the statistical methods that we used to analyse complex binary traits in our AIL design. This is achieved using a likelihood-based method, with the expectation-maximisation algorithm allowing use of standard logistic regression methods for model fitting.