Subsequently, associations between these genes and inhibitor formation were confirmed in other cohorts [10,11]. In the MIBS cohort, a T allele at the polymorphic site at –318 in the CTLA-4 gene was also associated with inhibitor risk, such that fewer instances of inhibitory antibodies were observed, indicating a protective down-regulatory effect [12]. The associations described have not, Nutlin-3 price however, been consistent across all patient groups. The reason for this is not completely clear, but may be explained

by several mechanisms and indicate the complexity of the system. When evaluating the polymorphic markers in various cohorts, the minor allele frequencies also need to be considered, since these will vary depending on the population substructure and ethnicity. Family relationships further complicate PCI32765 the picture. In addition, the combined evaluation of the type of mutation and MHC class II molecules will, as noted above, be required, since these genetic factors provide the basis for the immune response to occur. To further expand the findings of the MIBS study and evaluate additional candidate genes, the Hemophilia Inhibitor Genetics Study (HIGS) was initiated

in 2003 [13]. HIGS is a family 上海皓元医药股份有限公司 based study enrolling both siblings and singletons with inhibitors. In addition, parents have

been enrolled to permit conduct of a transmission disequilibrium test (TDT). Altogether, 448 patients were enrolled including 106 brother pairs and a total of 360 patients with a history of inhibitors, the majority high-responders (82.7%) and of caucasian ethnicity (77.5%). A candidate gene panel involving 1 081 genes and 14 626 single nucleotide polymorphisms (SNPs) were evaluated in HIGS as well as in the MIBS, and in a cohort of, primarily, singletons from the population based Hemophilia Growth and Development Study (HGDS). The study group is hereafter referred to as the HIGS Combined Cohort. Associations between the genetic markers and inhibitor formation were independently evaluated in the three cohorts as well as in a meta-analysis. In preliminary analyses, >100 SNPs were significantly associated with a higher or lower frequency of inhibitors at P < 0.01, among the most significant located in the genes coding for MAPK9, DOCK2, CD36, F13A1 and protein tyrosine phosphatases [14]. Importantly, the majority of these markers are part of the intracellular signalling pathways. The effects of the minor allele frequencies were predominantly preventive in that the markers were associated with a lower frequency of inhibitors.