Further Defining the Role of the Laboratory Genetic Counselor
Bibliographic record
Abstract
Laboratory genetic counseling is becoming increasingly common as a result of increased laboratory services and genetic testing menus, as well as growing job responsibilities. Christian et al. (2012) provided the first quantitative data regarding the roles of the laboratory-based genetic counselor (LBGC) finding that two of the most prevalent roles are as customer liaisons and communicators of test results. The goal of the present study was to further delineate the role of the LBGC by addressing specific tasks that LBGCs are involved with on a day-to-day basis. A survey was designed to expand upon themes identified in the Christian et al. (2012) study by querying specific tasks performed in several categories of potential LBGC job duties. An invitation for LBGCs to participate was distributed via email to the membership of the National Society of Genetic Counselors (NSGC) and the Canadian Association of Genetic Counsellors (CAGC). We identified 121 genetic counselors who primarily work in the laboratory setting or whose job role includes a laboratory component. Almost all respondents performed customer liaison/case coordination (95 %), and interpretation and result reporting (88 %). The most frequently performed tasks within these categories involved addressing questions from clients, making phone calls with genetic testing results, obtaining clinical or family history information for results interpretation, and composing case-specific interpretations for unique results and/or obtaining literature references to support interpretations. The study results also point to trends of expanding roles in sales and marketing, variant interpretation and management responsibilities. Results of this study may be useful to further define the full scope of practice of LBGCs, aid in the development of new LBGC positions and expand current positions to include roles related to test development, research, and student supervision. It may also aid in curriculum updates for training programs to increase exposure to LBGC roles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".