There are few better examples of the need for data sharing than in the rare disease community, where patients, physicians, and researchers must search for “the needle in a haystack” to uncover rare, novel causes of disease within the genome. Impeding the pace of discovery has been the existence of many small siloed datasets within individual research or clinical laboratory databases and/or disease-specific organizations, hoping for serendipitous occasions when two distant investigators happen to learn they have a rare phenotype in common and can “match” these cases to build evidence for causality. However, serendipity has never proven to be a reliable or scalable approach in science. As such, the Matchmaker Exchange (MME) was launched to provide a robust and systematic approach to rare disease gene discovery through the creation of a federated network connecting databases of genotypes and rare phenotypes using a common application programming interface (API). The core building blocks of the MME have been defined and assembled. Three MME services have now been connected through the API and are available for community use. Additional databases that support internal matching are anticipated to join the MME network as it continues to grow.

Background Whole-genome sequencing (WGS) in asymptomatic adults might prevent disease but increase healthcare utilization without clinical value. Objective Describe the effect on clinical care and outcomes of adding WGS to standardized family history assessment in primary care. Design Pilot randomized trial. Setting Academic primary care practices. Participants Nine primary care physicians (PCPs) and 100 generally healthy patients aged 40–65. Interventions Patients were randomly assigned to receive a family history report alone (FH arm) or in combination with an interpreted WGS report including monogenic disease risk (MDR) results (associated with Mendelian disorders), carrier variants, pharmacogenomic associations, and polygenic risk estimates for cardiometabolic traits (FH+WGS arm). Each patient met with his or her PCP to discuss the reports. Measurements Clinical outcomes and healthcare utilization through six months were obtained from audio-recorded PCP-patient discussions and medical records. Patients’ health behavior changes were surveyed six months after receiving results. A panel of clinician-geneticists rated the appropriateness of how PCPs managed MDR results. Results Mean age was 55 years; 58% were female. Eleven FH+WGS patients (22%, 12%–36%) had new MDR results. Only two (4%, 0.01%–14%) had evidence of the phenotypes predicted by an MDR result (fundus albipunctatus due to RDH5 and variegate porphyria due to PPOX). PCPs recommended new clinical actions for 16% (8%–30%) of FH patients and 34% (22%–49%) of FH+WGS patients. Thirty (17%–45%) and 41% (27%–56%) of FH and FH+WGS patients, respectively, reported making a health behavior change after six months. Geneticists rated PCP management of eight MDR results (73%, 39%–99%) as appropriate and two (18%, 3%–52%) as inappropriate. Limitations Limited sample size and ancestral and socioeconomic diversity. Conclusions Adding WGS to primary care reveals new molecular findings of uncertain clinical utility. Non-geneticist providers may be able to manage WGS results appropriately, but WGS may prompt additional clinical actions of unclear value. Registration ClinicalTrials.gov identifier NCT01736566 Funding National Institutes of Health

One major challenge encountered with interpreting human genetic variants is the limited understanding of the functional impact of genetic alterations on biological processes. Furthermore, there remains an unmet demand for an efficient survey of the wealth of information on human homologs in model organisms across numerous databases. To efficiently assess the large volume of publically available information, it is important to provide a concise summary of the most relevant information in a rapid user-friendly format. To this end, we created MARRVEL (model organism aggregated resources for rare variant exploration). MARRVEL is a publicly available website that integrates information from six human genetic databases and seven model organism databases. For any given variant or gene, MARRVEL displays information from OMIM, ExAC, ClinVar, Geno2MP, DGV, and DECIPHER. Importantly, it curates model organism-specific databases to concurrently display a concise summary regarding the human gene homologs in budding and fission yeast, worm, fly, fish, mouse, and rat on a single webpage. Experiment-based information on tissue expression, protein subcellular localization, biological process, and molecular function for the human gene and homologs in the seven model organisms are arranged into a concise output. Hence, rather than visiting multiple separate databases for variant and gene analysis, users can obtain important information by searching once through MARRVEL. Altogether, MARRVEL dramatically improves efficiency and accessibility to data collection and facilitates analysis of human genes and variants by cross-disciplinary integration of 18 million records available in public databases to facilitate clinical diagnosis and basic research.

Purpose: Clinical sequencing emerging in healthcare may result in secondary findings (SFs). Methods: Seventy-four of 6,240 (1.2%) participants who underwent genome or exome sequencing through the Clinical Sequencing Exploratory Research (CSER) Consortium received one or more SFs from the original ACMG-recommended 56 gene-condition pair list; we assessed clinical and psychosocial actions. Results: The overall adjusted prevalence of SFs in the ACMG 56 genes across the CSER consortium was 1.7%. Initially 32% of the family histories were positive, and post disclosure, this increased to 48%. The average cost of follow-up medical actions per finding up to a 1-year period was $128 (observed, range: $0-$678) and $421 (recommended, range: $141-$1114). Case reports revealed variability in the frequency of and follow-up on medical recommendations patients received associated with each SF gene-condition pair. Participants did not report adverse psychosocial impact associated with receiving SFs; this was corroborated by 18 participant (or parent) interviews. All interviewed participants shared findings with relatives and reported that relatives did not pursue additional testing or care. Conclusion: Our results suggest that disclosure of SFs shows little to no adverse impact on participants and adds only modestly to near term healthcare costs; additional studies are needed to confirm these findings.