IgE-mediated peanut allergy is a complex trait with strong heritability, but its genetic basis is currently unknown. Loss-of-function mutations within the filaggrin gene are associated with atopic dermatitis and other atopic diseases; therefore, filaggrin is a candidate gene in the etiology of peanut allergy. To investigate the association between filaggrin loss-of-function mutations and peanut allergy. Case-control study of 71 English, Dutch, and Irish oral food challenge-positive patients with peanut allergy and 1000 non peanut-sensitized English population controls. Replication was tested in 390 white Canadian patients with peanut allergy (defined by food challenge, or clinical history and skin prick test wheal to peanut ≥ 8 mm and/or peanut-specific IgE ≥ 15 kUL(-1)) and 891 white Canadian population controls. The most prevalent filaggrin loss-of-function mutations were assayed in each population: R501X and 2282del4 in the Europeans, and R501X, 2282del4, R2447X, and S3247X in the Canadians. The Fisher exact test and logistic regression were used to test for association; covariate analysis controlled for coexistent atopic dermatitis. Filaggrin loss-of-function mutations showed a strong and significant association with peanut allergy in the food challenge-positive patients (P = 3.0 × 10(-6); odds ratio, 5.3; 95% CI, 2.8-10.2), and this association was replicated in the Canadian study (P = 5.4 × 10(-5); odds ratio, 1.9; 95% CI, 1.4-2.6). The association of filaggrin mutations with peanut allergy remains significant (P = .0008) after controlling for coexistent atopic dermatitis. Filaggrin mutations represent a significant risk factor for IgE-mediated peanut allergy, indicating a role for epithelial barrier dysfunction in the pathogenesis of this disease.

Click on the article title to read more.

The diagnostic yield of exome and genome sequencing remains low (8–70%), due to incomplete knowledge on the genes that cause disease. To improve this, we use RNA-seq data from 31,499 samples to predict which genes cause specific disease phenotypes, and develop GeneNetwork Assisted Diagnostic Optimization (GADO). We show that this unbiased method, which does not rely upon specific knowledge on individual genes, is effective in both identifying previously unknown disease gene associations, and flagging genes that have previously been incorrectly implicated in disease. GADO can be run on www.genenetwork.nl by supplying HPO-terms and a list of genes that contain candidate variants. Finally, applying GADO to a cohort of 61 patients for whom exome-sequencing analysis had not resulted in a genetic diagnosis, yields likely causative genes for ten cases.

Genetic analysis of BRCA1 by sequencing is often preceded by a scanning method like denaturing gradient gel electrophoresis (DGGE), protein truncation test (PTT) or DHPLC. High‐resolution melting curve (HRM) analysis is a promising and economical method for high‐throughput mutation scanning. The EuroGentest network (www.eurogentest.org) aims to assist with the introduction of novel technologies in the diagnostic setting. Therefore, we have performed a thorough and high‐standard interlaboratory evaluation and validation of HRM, in collaboration with Idaho Technology, the manufacturer of the LightScanner^TM (LS). Through this detailed study of 170 variants, we have generated guidelines for easy setup and implementation of HRM as a scanning technique for new genes, which are adaptable to the quality system of an individual diagnostic laboratory. This validation study includes the description of a BRCA1‐specific mutation screening test using the 96‐well LS. This assay comprises 40 amplicons and was evaluated using a statistically significant elaborate panel of variants and control DNA samples. All heterozygous variants were detected. Moreover, genotype analysis for nine common polymorphisms created a fast screening and detection method for these frequently occurring nonpathogenic variants. A blind study using a total of 28 patient‐derived DNA samples resulted also in 100% detection and showed an average specificity of 98%, indicating a low incidence of false positives (FPs). Hum Mutat 30:1–11, 2009.

Dystrophic epidermolysis bullosa (DEB) is a heritable blistering disorder that can be inherited autosomal dominantly (DDEB) or recessively (RDEB) and covers a group of several distinctive phenotypes. A large number of unique COL7A1 mutations have been shown to underlie DEB. Although general genotype–phenotype correlation rules have emerged, many exceptions to these rules exist, compromising disease diagnosing and genetic counseling. We therefore constructed the International DEB Patient Registry (http://www.deb‐central.org), aimed at worldwide collection and sharing of phenotypic and genotypic information on DEB. As of May 2011, this MOLGENIS‐based registry contains detailed information on 508 published and 71 unpublished patients and their 388 unique COL7A1 mutations, and includes all combinations of mutations. The current registry RDEB versus DDEB ratio of 4:1, if compared to prevalence figures, suggests underreporting of DDEB in the literature. Thirty‐eight percent of mutations stored introduce a premature termination codon (PTC) and 43% an amino acid change. Submission wizards allow users to quickly and easily share novel information. This registry will be of great help in disease diagnosing and genetic counseling and will lead to novel insights, especially in the rare phenotypes of which there is often lack of understanding. Altogether, this registry will greatly benefit the DEB patients. Hum Mutat 32:1100–1107, 2011. ©2011 Wiley‐Liss, Inc.