The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co‐segregation, family cancer history profile, co‐occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case‐control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene‐specific calibration of evidence types used for variant classification.
Numerous genetic factors that influence breast cancer risk are known. However, approximately two-thirds of the overall familial risk remain unexplained. To determine whether some of the missing heritability is due to rare variants conferring high to moderate risk, we tested for an association between the c.5791C>T nonsense mutation (p.Arg1931*; rs144567652) in exon 22 of FANCM gene and breast cancer. An analysis of genotyping data from 8635 familial breast cancer cases and 6625 controls from different countries yielded an association between the c.5791C>T mutation and breast cancer risk [odds ratio (OR) = 3.93 (95% confidence interval (CI) = 1.28-12.11; P = 0.017)]. Moreover, we performed two meta-analyses of studies from countries with carriers in both cases and controls and of all available data. These analyses showed breast cancer associations with OR = 3.67 (95% CI = 1.04-12.87; P = 0.043) and OR = 3.33 (95% CI = 1.09-13.62; P = 0.032), respectively. Based on information theory-based prediction, we established that the mutation caused an out-of-frame deletion of exon 22, due to the creation of a binding site for the pre-mRNA processing protein hnRNP A1. Furthermore, genetic complementation analyses showed that the mutation influenced the DNA repair activity of the FANCM protein. In summary, we provide evidence for the first time showing that the common p.Arg1931* loss-of-function variant in FANCM is a risk factor for familial breast cancer.
Otofaciocervical syndrome (OFCS) is a rare disorder characterized by facial anomalies, cup-shaped low-set ears, preauricular fistulas, hearing loss, branchial defects, skeletal anomalies, and mild intellectual disability. Autosomal dominant cases are caused by deletions or point mutations of EYA1. A single family with an autosomal recessive form of OFCS and a homozygous missense mutation in PAX1 gene has been described. We report whole exome sequencing of 4 members of a consanguineous family in which 2 children, showing features of OFCS, expired from severe combined immunodeficiency (SCID). To date, the co-occurrence of OFCS and SCID has never been reported. We found a nonsense homozygous mutation in PAX1 gene in the 2 affected children. In mice, Pax1 is required for the formation of specific skeletal structures as well as for the development of a fully functional thymus. The mouse model strongly supports the hypothesis that PAX1 depletion in our patients caused thymus aplasia responsible for SCID. This report provides evidence that bi-allelic null PAX1 mutations may lead to a multi-system autosomal recessive disorders, where SCID might represent the main feature.
Schwannomatosis is characterized by the development of multiple non-vestibular, non-intradermal schwannomas. Constitutional inactivating variants in two genes, SMARCB1 and, very recently, LZTR1, have been reported. We performed exome sequencing of 13 schwannomatosis patients from 11 families without SMARCB1 deleterious variants. We identified four individuals with heterozygous loss-of-function variants in LZTR1. Sequencing of the germline of 60 additional patients identified 18 additional heterozygous variants in LZTR1. We identified LZTR1 variants in 43% and 30% of familial (three of the seven families) and sporadic patients, respectively. In addition, we tested LZTR1 protein immunostaining in 22 tumors from nine unrelated patients with and without LZTR1 deleterious variants. Tumors from individuals with LZTR1 variants lost the protein expression in at least a subset of tumor cells, consistent with a tumor suppressor mechanism. In conclusion, our study demonstrates that molecular analysis of LZTR1 may contribute to the molecular characterization of schwannomatosis patients, in addition to NF2 mutational analysis and the detection of chromosome 22 losses in tumor tissue. It will be especially useful in differentiating schwannomatosis from mosaic Neurofibromatosis type 2 (NF2). However, the role of LZTR1 in the pathogenesis of schwannomatosis needs further elucidation.
The present data suggests that (a) mosaic loss of immunohistochemical INI1/SMARCB1 expression, despite the interlesional variability, is a reliable marker of schwannomatosis regardless of the involved gene and it might help in the differential diagnosis of schwannomatosis vs. solitary schwannomas and (b) INI1/SMARCB1 expression is not useful in the differential with mosaic NF2, since NF2-associated peripheral schwannomas show the same immunohistochemical pattern.
Purpose
To describe a snapshot of international genetic testing practices,
specifically regarding the use of multigene panels, for hereditary
breast/ovarian cancers. We conducted a survey through the Evidence-Based
Network for the Interpretation of Germline Mutant Alleles (ENIGMA)
consortium, covering questions about 16
non-BRCA1/2 genes.
Methods
Data were collected via in-person and paper/electronic surveys.
ENIGMA members from around the world were invited to participate. Additional
information was collected via country networks in the United Kingdom and in
Italy.
Results
Responses from 61 cancer genetics practices across 20 countries
showed that 16 genes were tested by > 50% of the centers, but only
six (PALB2, TP53, PTEN,
CHEK2, ATM, and
BRIP1) were tested regularly. US centers tested the genes
most often, whereas United Kingdom and Italian centers with no direct ENIGMA
affiliation at the time of the survey were the least likely to regularly
test them. Most centers tested the 16 genes through multigene panels; some
centers tested TP53, PTEN, and other
cancer syndrome–associated genes individually. Most centers reported
(likely) pathogenic variants to patients and would test family members for
such variants. Gene-specific guidelines for breast and ovarian cancer risk
management were limited and differed among countries, especially with regard
to starting age and type of imaging and risk-reducing surgery
recommendations.
Conclusion
Currently, a small number of genes beyond
BRCA1/2 are routinely analyzed
worldwide, and management guidelines are limited and largely based on expert
opinion. To attain clinical implementation of multigene panel testing
through evidence-based management practices, it is paramount that clinicians
(and patients) participate in international initiatives that share panel
testing data, interpret sequence variants, and collect prospective data to
underpin risk estimates and evaluate the outcome of risk intervention
strategies.
IntroductionIndividuals carrying pathogenic mutations in the BRCA1 and BRCA2 genes have a high lifetime risk of breast cancer. BRCA1 and BRCA2 are involved in DNA double-strand break repair, DNA alterations that can be caused by exposure to reactive oxygen species, a main source of which are mitochondria. Mitochondrial genome variations affect electron transport chain efficiency and reactive oxygen species production. Individuals with different mitochondrial haplogroups differ in their metabolism and sensitivity to oxidative stress. Variability in mitochondrial genetic background can alter reactive oxygen species production, leading to cancer risk. In the present study, we tested the hypothesis that mitochondrial haplogroups modify breast cancer risk in BRCA1/2 mutation carriers.MethodsWe genotyped 22,214 (11,421 affected, 10,793 unaffected) mutation carriers belonging to the Consortium of Investigators of Modifiers of BRCA1/2 for 129 mitochondrial polymorphisms using the iCOGS array. Haplogroup inference and association detection were performed using a phylogenetic approach. ALTree was applied to explore the reference mitochondrial evolutionary tree and detect subclades enriched in affected or unaffected individuals.ResultsWe discovered that subclade T1a1 was depleted in affected BRCA2 mutation carriers compared with the rest of clade T (hazard ratio (HR) = 0.55; 95% confidence interval (CI), 0.34 to 0.88; P = 0.01). Compared with the most frequent haplogroup in the general population (that is, H and T clades), the T1a1 haplogroup has a HR of 0.62 (95% CI, 0.40 to 0.95; P = 0.03). We also identified three potential susceptibility loci, including G13708A/rs28359178, which has demonstrated an inverse association with familial breast cancer risk.ConclusionsThis study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects.Electronic supplementary materialThe online version of this article (doi:10.1186/s13058-015-0567-2) contains supplementary material, which is available to authorized users.
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