The multigenerational impact of long QT syndrome: A Gitxsan perspective
Bibliographic record
Abstract
Long QT syndrome (LQTS), a rare cardiac condition that can lead to sudden death, is highly prevalent in First Nations communities of northern British Columbia. In the Gitxsan community of 5500, an estimated 1 in 125 individuals are affected, primarily due to the novel pathogenic variant p.V205M in KCNQ1. Over the past decade, more than 800 Gitxsan individuals received genetic testing and counseling for LQTS through a community-based study. Despite the substantial research characterizing the biological underpinnings of LQTS, there are few studies exploring the lived experiences of families with LQTS, especially those of Indigenous peoples. The goal of this study was to gain a greater understanding of the impact of the genetic confirmation of LQTS in this community, and the impact the condition has on individuals, their families, and the community. A qualitative study was developed in consultation with a local research advisory board and a Talking Circle, a traditional Indigenous format for discussion, was held. Four people who belonged to the same kindred group attended the Talking Circle. This article presents the multigenerational impact that LQTS and genetic diagnosis have through the reflections of one Gitxsan family. LQTS affects identity and family relationships, including those between parents and children, siblings, and even extended family members. Laughter and humor played an important part in coping. The role of family relationships for this Gitxsan family was seen to be critical in managing an LQTS diagnosis. This multigenerational perspective provides key insights into family structure and dynamics which can inform genetic counseling and clinical care. As cultural safety is experienced and therefore defined by the person receiving services, listening to the perspectives and preferences of Indigenous peoples is essential to the delivery of culturally informed care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".