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Jordan Lerner-Ellis

Publications and source records attributed to Jordan Lerner-Ellis.

5 recordsLinked to original sources

Examining gaps in institutional policies for clinical genomic data sharing: A cross-jurisdictional study.

The sharing of data generated by clinical genetic and genomic testing without explicit consent is important for timely diagnosis and treatment. While many jurisdictions permit the sharing of identifiable data for direct clinical care, institutional policies vary in how clearly they specify key elements, including when sharing is permitted, what data are covered, and what safeguards apply. Greater clarity around these elements may support responsible data sharing while balancing timely care with transparency and appropriate protections. We conducted a mixed-methods content analysis of data-sharing and privacy policies from 33 clinical genomic institutions across 17 countries and regions. Using a predefined analytical framework, we assessed how policies document key governance elements relevant to sharing without explicit consent. Two independent reviewers extracted information about clinical contexts, data types, justifications, and protections. Although 70% of institutions described circumstances permitting data sharing without explicit consent, most policies did not clearly define the scope or governance of such sharing. Policies also rarely distinguished clinical from research or secondary use and inconsistently specified privacy and security safeguards. While sharing was commonly justified for clinical care (78.3%) or testing services (43.5%), data recipient roles and onward-sharing expectations were often left undefined. This uneven documentation could make it difficult for clinical teams and institutional decision-makers to identify and justify decisions about what is permitted and under what conditions. A guidance framework specifying core governance elements and corresponding protections could help institutions communicate their governance choices more clearly and support comparable baseline practices for responsible data sharing.

Information Dissemination

Non-invasive screening in hereditary cancer: a randomized controlled trial to test cell-free DNA-based early detection in the CHARM consortium.

Individuals with hereditary cancer syndromes are born with germline genetic variants that significantly increase their lifetime risk of developing multiple cancers. Cancer rates and overall mortality can be reduced with intensive surveillance to facilitate early cancer detection. However, participating in diagnostic imaging and endoscopy surveillance programs is often time-consuming, overwhelming, inconvenient, and anxiety-inducing. To improve this, multi-cancer early detection tests are being developed using cell-free DNA (cfDNA) sequencing analysis to detect cancers with more sensitivity than conventional screening methods. Our community (the CHARM consortium: Cell-free DNA in Hereditary And high-Risk Malignancies) has been exploring the use of cfDNA sequencing in hereditary cancer, and has launched the CHARM2 prospective randomized controlled trial, which is enrolling 1000 participants with Hereditary Breast and Ovarian Cancer, Lynch syndrome, Li-Fraumeni syndrome, Neurofibromatosis type 1 and Hereditary Diffuse Gastric Cancer to improve equitable access, early detection and surveillance for high-risk individuals. All participants will have screening as per conventional syndrome-specific surveillance recommendations. Half the participants (experimental cohort) will also have cfDNA analysis at least three times a year, with abnormal results triggering dedicated clinical imaging and diagnostic evaluation, and heightened surveillance. Vetted by our patient advisors, validated patient-reported outcome and experience measures assessing participant psychosocial outcomes, engagement, and test preferences will be administered to both arms. Our goal is to inform if and how cfDNA analysis could be implemented into routine clinical care and offer a path to equitable and more convenient cancer screening for all high-risk Canadians.

Female

Opportunistic screening for broad range of medically relevant secondary findings: Laboratory benefits and burdens.

PURPOSE: Exome and genome sequencing enable opportunistic screening for secondary findings (SFs). We report on exome analysis for a broad range of medically relevant SFs in the setting of the Incidental Genomics randomized clinical trial (NCT03597165). METHODS: Participants had exome sequencing and were randomized to receive only primary cancer findings (control) or cancer findings and a choice of SFs (intervention). RESULTS: Across 279 participants, there were 4441 unique variants in SF genes: 5.0% (221) were reportable pathogenic/likely pathogenic variants, and 81.4% (3615) were nonreportable variants of uncertain significance (VUS). Intervention arm participants had on average 2.6 (SD 1.66, range 0-9) pathogenic/likely pathogenic variants and 29.5 VUS (SD 13.2, range 2-74). SFs for monogenic disease risk were reported in 35.3% (49/139) of participants (American College of Medical Genetics and Genomics non-cancer subset in 1.4%) and carrier status in 89.3% (117/131). In the intervention arm, variant filtration was 7.7 times longer per case (95% CI 5.3 to 11.3, P < .0001), variant classification was 13.3 times longer (95% CI 10.6 to 16.5, P < .0001), and report preparation was 3.3 times longer (95% CI 2.6 to 4.1, P < .0001). CONCLUSION: Although the yield of reportable SFs was high, this was accompanied by many nonreportable VUS and increased efforts for exome analysis.

Humans

Genome-wide association study of long COVID.

Infections can lead to persistent symptoms and diseases such as shingles after varicella zoster or rheumatic fever after streptococcal infections. Similarly, severe acute respiratory syndrome coronavirus 2 (SARS&#x2011;CoV&#x2011;2) infection can result in long coronavirus disease (COVID), typically manifesting as fatigue, pulmonary symptoms and cognitive dysfunction. The biological mechanisms behind long COVID remain unclear. We performed a genome-wide association study for long COVID including up to 6,450 long COVID cases and 1,093,995 population controls from 24 studies across 16 countries. We discovered an association of FOXP4 with long COVID, independent of its previously identified association with severe COVID-19. The signal was replicated in 9,500 long COVID cases and 798,835 population controls. Given the transcription factor FOXP4's role in lung physiology and pathology, our findings highlight the importance of lung function in the pathophysiology of long COVID.

Humans

Opportunistic genomic screening has clinical utility: An interventional cohort study.

PURPOSE: Practice is shifting toward genome-first approaches, such as opportunistic screening for secondary findings (SFs). Analysis of SFs could be extended beyond medically actionable results to include non-medically actionable monogenic disease risks, carrier status, pharmacogenomic variants, and risk variants for common complex disease. However, evidence on the clinical utility of returning these results is lacking. We assessed the outcomes of opportunistic screening for a broad spectrum of SFs by evaluating the yield, impact on clinical management, and consistency between SFs and participants' clinical features and family history. METHODS: Adult cancer patients had exome sequencing with the option to learn multiple categories of SFs. Outcomes data were collected through chart review and participant-reported measures up to one year after return of results. RESULTS: All participants (n&#xa0;= 139, 85.6% female, average 54.6 years old) who elected to learn SFs had &#x2265;1 variant reported (100% [139/139]). The yield of reportable findings was highest for pharmacogenomic variants (97.8% [135/138] of participants), followed by common disease risk variants (89.4% [118/132]), carrier status (89.3% [117/131]), and variants related to Mendelian (27.2% [34/125]), medically actionable (15.2% [21/138]), and early-onset neurodegenerative (2.6% [3/117]) disease risks. SFs from the American College of Medical Genetics and Genomics list (v3.2, noncancer genes) were reported in 1.4% (2/138) of participants. SFs across all categories demonstrated clinical utility by prompting management changes in 28.1% (39/139) of participants. Moreover, a considerable proportion of participants had suggestive clinical features (49.0% (24/49)]) or family history (21.8% (27/124)) potentially related to their SFs. CONCLUSION: Our findings indicate there are potential benefits from opportunistic screening for a broad range of SFs.

Humans