Chung, Wendy K.

Background: Return of incidental genetic findings is recommended for pathogenic/likely pathogenic (P/LP) variants in Mendelian arrhythmia genes. The extent to which these variants are associated with arrhythmia phenotypes in unselected populations is unknown. Objective: Assess the impact of return of results (RoR) of P/LP variants in 4 arrhythmia genes in research participants not selected for cardiovascular disease. Methods: The cohort included 24,410 participants from the Electronic Medical Records and Genomics Network. Rare variants (minor allele frequency <1%) in KCNE1 , KCNH2 , KCNQ1 , and SCN5A were identified and classified according to ACMG guidelines. Arrhythmia phenotypes extracted from electronic health records (EHRs) included atrial fibrillation/flutter (AF/AFL), conduction system disease, long QT syndrome (LQTS), ventricular tachycardia/fibrillation (VT/VF), and premature ventricular contractions (PVCs). P/LP carriers’ phenotypes were compared to non-carriers using logistic regression adjusted for demographic covariates and site. Participants with P/LP variants were informed of their results and the impact of this RoR was assessed after 1 year of follow-up clinical care. Results: The participants included 53.7% females and 72.5% white individuals, with a median age of 57 years. 71 participants had a heterozygous P/LP variant in one of the 4 genes. LQTS diagnoses were associated with P/LP carrier status for all 4 genes ( KCNE1 OR 22.8, p=1.0e-4; KCNH2 OR 35.1, p=1.8e-7; KCNQ1 OR 27.3, p=3.6e-18; SCN5A OR 5.6, p=0.02). Carriers of SCN5A P/LP variants were also more likely to have PVCs (OR 4.3, p=0.003). Sensitivity analyses showed the associations predated the RoR. EHRs included a diagnosis of LQTS or Brugada Syndrome in 11/71 (16%) pre-RoR, and 16 more were diagnosed after RoR (27/71, 38%). A total of 47/71 (66%) participants had a documented arrhythmia phenotype 1 year after RoR, although 20 of these participants were not diagnosed with an inherited arrhythmia syndrome. Conclusion: Inherited arrhythmia diagnoses could be established in nearly half of participants with P/LP variants. These data indicate that return of incidental P/LP variants in these genes may facilitate the early diagnosis of arrhythmias.

AbstractPopulation‐based genomic screening has the potential to improve health outcomes by identifying genetic causes of disease before they occur. While much attention has been paid to supporting the needs of the small percentage of patients who will receive a life‐altering positive genomic screening result that requires medical attention, little attention has been given to the communication of negative screening results. As there are currently no best practices for returning negative genomic screening results, we drew on experiences across the electronic medical records and genomics (eMERGE) III Network to highlight the diversity of reporting methods employed, challenges encountered in reporting negative test results, and “lessons learned” across institutions. A 60‐item survey that consisted of both multiple choice and open‐ended questions was created to gather data across institutions. Even though institutions independently developed procedures for reporting negative results, and had very different study populations, we identified several similarities of approach, including but not limited to: returning results by mail, placing results in the electronic health record via an automated process, reporting results to participants' primary care provider, and providing genetic counseling to interested patients at no cost. Differences in procedures for reporting negative results included: differences in terminology used to describe negative results, definitions of negative results, guidance regarding the meaning of negative results for participants and their family members, and recommendations for clinical follow up. Our findings highlight emerging practices for reporting negative genomic screening results and highlight the need to create patient education and clinical support tools for reporting negative screening results.

Germ line mutations in H3F3A and H3F3B cause a previously unidentified neurodevelopmental syndrome.

Abstract Asparagine‐linked glycosylation 13 homolog ( ALG13 ) encodes a nonredundant, highly conserved, X‐linked uridine diphosphate (UDP)‐ N ‐acetylglucosaminyltransferase required for the synthesis of lipid linked oligosaccharide precursor and proper N‐linked glycosylation. De novo variants in ALG13 underlie a form of early infantile epileptic encephalopathy known as EIEE36, but given its essential role in glycosylation, it is also considered a congenital disorder of glycosylation (CDG), ALG13‐CDG. Twenty‐four previously reported ALG13‐CDG cases had de novo variants, but surprisingly, unlike most forms of CDG, ALG13‐CDG did not show the anticipated glycosylation defects, typically detected by altered transferrin glycosylation. Structural homology modeling of two recurrent de novo variants, p.A81T and p.N107S, suggests both are likely to impact the function of ALG13. Using a corresponding ALG13‐deficient yeast strain, we show that expressing yeast ALG13 with either of the highly conserved hotspot variants rescues the observed growth defect, but not its glycosylation abnormality. We present molecular and clinical data on 29 previously unreported individuals with de novo variants in ALG13 . This more than doubles the number of known cases. A key finding is that a vast majority of the individuals presents with West syndrome, a feature shared with other CDG types. Among these, the initial epileptic spasms best responded to adrenocorticotropic hormone or prednisolone, while clobazam and felbamate showed promise for continued epilepsy treatment. A ketogenic diet seems to play an important role in the treatment of these individuals.

A goal of the 3rd phase of the Electronic Medical Records and Genomics (eMERGE3) Network was to examine the return of results (RoR) of actionable variants in more than 100 genes to consenting participants and their healthcare providers. Each of the 10 eMERGE sites developed plans for three essential elements of the RoR process: Disclosure to the participant, notification of the health care provider, and integration of results into the electronic health record (EHR). Procedures and protocols around these three elements were adapted as appropriate to individual site requirements and limitations. Detailed information about the RoR procedures at each site was obtained through structured telephone interviews and follow-up surveys with the clinical investigator leading or participating in the RoR process at each eMERGE3 institution. Because RoR processes at each of the 10 sites allowed for taking into account differences in population, disease focus and institutional requirements, significant heterogeneity of process was identified, including variability in the order in which patients and clinicians were notified and results were placed in the EHR. This heterogeneity in the process flow for eMERGE3 RoR reflects the “real world” of genomic medicine in which RoR procedures must be shaped by the needs of the patients and institutional environments.

Abstract Background: Conventional cytogenetic studies in myeloproliferative neoplasms (MPNs) have provided pathogenetic, diagnostic and prognostic information and in certain instances guide therapeutic decisions. It is therefore reasonable to hypothesize that a higher resolution examination of chromosomes might reveal additional changes that are scientifically as well as clinically relevant. Methods: Granulocyte DNA from 70 patients (median age 56 years, range 18–84; 43 males) with classic BCR-ABL-negative MPNs were studied: 27 with primary myelofibrosis (PMF), 22 with polycythemia vera (PV), 12 with essential thrombocythemia (ET), 6 with post-ET MF and 3 with post-PV MF. Twelve healthy volunteers were used as controls. Cytogenetic information, collected at variable times before the current study, was available in 57 patients. Samples were analyzed by comparative genomic hybridization (CGH) with a gender matched normal control using oligoarrays with either 44,000 or 105,000 oligonucleotides. Data were analyzed with CGH Analytics (Agilent). Copy number changes were considered significant (CNCs) if they were defined by 4 or more adjacent oligonucleotides spanning at least 150,000 base pairs, contained at least one gene, and were not identified in the Database of Genomic Variants. Results: Array CGH results were equivocal in 6 cases, which were therefore excluded from further analysis. Among the 12 normal controls, granulocyte DNA displayed no CNCs. The percentage of patients with CNCs was 52% for PMF, 32% for PV and 17% for ET. In addition, 2 of 6 patients with post-ET MF and 1 of 2 patients with post-PV MF displayed CNCs. There was no correlation between the occurrence of CNCs and JAK2V617F mutational status in PMF and ET. Array CGH revealed CNCs in 16 of 49 patients (33%) with normal and 7 of 8 patients (88%) with abnormal cytogenetic findings; one patient with t(2;12)(p13;q14) in 19 of 20 metaphases detected at 9 months prior to sample collection for the array CGH study displayed no CNCs. In patients with abnormal cytogenetic findings, array CGH also detected imbalances at chromosomal translocations, including t(1;6), t(9;11), and t(1;18), as well as additional abnormalities that were not detected by cytogenetic analysis. A total of 23 single occurrence CNCs were documented and included all the ET [del(2)(q31.3q32.1), del(10)(q11.21q11.22)] and post-ET MF [del(2p12), del(Xq12)] associated CNCs. In contrast, several specific abnormalities were shared between PV and PMF including del(6p22) and dup(15q11.2). As expected, del(13q) and del(20q) abnormalities were recurrent in PMF. Conclusions: Conventional cytogenetic analysis underestimates the extent of genomic gains and losses in BCR-ABL-negative MPNs. The current study suggests that oligonucleotide array CGH is more sensitive to detect small genomic alterations and we are currently studying higher resolution arrays in a larger group of patients to detect additional genomic alterations as well as assess overall clinical utility. The current data also suggest that chromosomal translocations are commonly associated with imbalances.

AbstractPrevious transcriptome‐wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome‐wide association studies (GWAS), but analyses of breast cancer subtype‐specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta‐analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER−). We further compared associations with ER+ and ER− subtypes, using a case‐only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER– breast cancer. We further identified 30 TWAS‐significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast‐cancer gene in three of six regions harboring multiple TWAS‐significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER− breast cancer.