Citations

Abstract Family-based study design is commonly used in genetic research. It has many ideal features, including being robust to population stratification (PS). With the advance of high-throughput technologies and ever-decreasing genotyping cost, it has become common for family studies to examine a large number of variants for their associations with disease phenotypes. The yield from the analysis of these family-based genetic data can be enhanced by adopting computationally efficient and powerful statistical methods. We propose a general framework of a family-based U-statistic, referred to as family-U, for family-based association studies. Unlike existing parametric-based methods, the proposed method makes no assumption of the underlying disease models and can be applied to various phenotypes (e.g., binary and quantitative phenotypes) and pedigree structures (e.g., nuclear families and extended pedigrees). By using only within-family information, it can offer robust protection against PS. In the absence of PS, it can also utilize additional information (i.e., between-family information) for power improvement. Through simulations, we demonstrated that family-U attained higher power over a commonly used method, family-based association tests, under various disease scenarios. We further illustrated the new method with an application to large-scale family data from the Framingham Heart Study. By utilizing additional information (i.e., between-family information), family-U confirmed a previous association of CHRNA5 with nicotine dependence.

Background. A phase II design with an option for direct assignment (stop randomization and assign all patients to experimental treatment based on interim analysis, IA) for a predefined subgroup was previously proposed. Here, we illustrate the modularity of the direct assignment option by applying it to the setting of two predefined subgroups and testing for separate subgroup main effects.Methods. We power the 2-subgroup direct assignment option design with 1 IA (DAD-1) to test for separate subgroup main effects, with assessment of power to detect an interaction in a post-hoc test. Simulations assessed the statistical properties of this design compared to the 2-subgroup balanced randomized design with 1 IA, BRD-1. Different response rates for treatment/control in subgroup 1 (0.4/0.2) and in subgroup 2 (0.1/0.2, 0.4/0.2) were considered.Results. The 2-subgroup DAD-1 preserves power and type I error rate compared to the 2-subgroup BRD-1, while exhibiting reasonable power in a post-hoc test for interaction.Conclusion. The direct assignment option is a flexible design component that can be incorporated into broader design frameworks, while maintaining desirable statistical properties, clinical appeal, and logistical simplicity.

Key PointsIn this first ALL GWAS in AYAs, we determined that inherited GATA3 variants strongly influence ALL susceptibility in this age group. These findings revealed similarities and differences in the genetic basis of ALL susceptibility between young children and AYAs.

Abstract Phosphaturic mesenchymal tumours ( PMTs ) are uncommon soft tissue and bone tumours that typically cause hypophosphataemia and tumour‐induced osteomalacia ( TIO ) through secretion of phosphatonins including fibroblast growth factor 23 ( FGF23 ). PMT has recently been accepted by the World Health Organization as a formal tumour entity. The genetic basis and oncogenic pathways underlying its tumourigenesis remain obscure. In this study, we identified a novel FN1–FGFR1 fusion gene in three out of four PMTs by next‐generation RNA sequencing. The fusion transcripts and proteins were subsequently confirmed with RT‐PCR and western blotting. Fluorescence in situ hybridization analysis showed six cases with FN1–FGFR1 fusion out of an additional 11 PMTs . Overall, nine out of 15 PMTs (60%) harboured this fusion. The FN1 gene possibly provides its constitutively active promoter and the encoded protein's oligomerization domains to overexpress and facilitate the activation of the FGFR1 kinase domain. Interestingly, unlike the prototypical leukaemia‐inducing FGFR1 fusion genes, which are ligand‐independent, the FN1–FGFR1 chimeric protein was predicted to preserve its ligand‐binding domains, suggesting an advantage of the presence of its ligands (such as FGF23 secreted at high levels by the tumour) in the activation of the chimeric receptor tyrosine kinase, thus effecting an autocrine or a paracrine mechanism of tumourigenesis. Copyright © 2014 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

SummaryMulticentric Castleman disease (MCD) is a rare lymphoproliferative disease. Little is known about how patient clinical features and healthcare utilization varies by human immunodeficiency virus (HIV) status and disease subtype. Data of MCD patients identified between 2000 and 2009 were collected from medical records at two United States treatment centres. Clinical, demographic, and biochemical characteristics, drug therapies and medical utilization were descriptively reported by HIV status and cell histology, and statistically compared with the Fisher's Exact and Kruskal–Wallis tests. Patients (n = 59) had a pathologically and clinically confirmed MCD diagnosis: plasmacytic (42%), hyaline vascular (29%) and mixed (15%); 10% had HIV infection. In the first year after diagnosis, MCD patients on average saw a healthcare provider more than six times, were hospitalized at least once and underwent frequent radiological and laboratory testing. Rituximab was the most commonly used drug therapy, followed by corticosteroids and conventional chemotherapy. One‐ and 2‐year survival was excellent in HIV‐negative patients (100% and 97%, respectively) but inferior for HIV‐positive cases (67% and 67%, respectively). Heterogeneous treatment decisions were observed in this MCD study; HIV status was the only distinguishing clinical criteria associated with pharmacotherapies. Additional research is necessary to guide treatment of this rare lymphoproliferative disorder.