Abstract A29: Investigation of RECQL variants in European and African American breast cancer cohorts
Bibliographic record
Abstract
Abstract Although an average woman in the United States can have a 12.5% lifetime risk of developing breast cancer (BC), inherited genetic risk variants can greatly influence a woman’s overall lifetime risk. Genes that harbor BC risk variants are referred to as BC susceptibility genes. Unfortunately, mutations in known BC susceptibility genes only explain approximately 35% of hereditary BC cases, leaving a large portion, approximately 65%, genetically unexplained. With the introduction of next-generation sequencing, several attempts have been carried out to identify additional hereditary BC susceptibility genes using whole-exome sequencing. The majority of these studies were relatively unsuccessful; however, Cybulski et al. (2015) successfully associated two rare truncation variants in RECQL, p.K555delinsMYKLIHYSFR and p.R215*, in a Polish and French-Canadian cohort, respectively. Subsequently, two additional studies were carried out in northern and southern regions of China, which also confirmed that overtly deleterious coding mutations in RECQL are associated with familial BC. Herein, we investigated RECQL variants in BC-affected African Americans (AAs) and European Americans (EAs). To our knowledge, this study represents the first attempt to identify an association between RECQL variants and BC cases in the United States. We initially screened all RECQL coding exons using polymerase chain reaction and Sanger sequencing in 49 BC cases (19 AAs and 30 EAs) from Alabama. Primarily synonymous variants were detected in both ethnicities; thus, in order to further investigate the role of RECQL synonymous variants in BC risk, we analyzed RECQL in blood-derived exomes of 168 and 580 BC-affected AAs and EAs, respectively, from The Cancer Genome Atlas (TCGA) project using an in-house bioinformatics pipeline. A case-control analysis revealed that all rare synonymous variants detected in EA BC cases were associated with BC, and p.S64= was significantly associated in both ethnicities. Interestingly, only one truncation variant was detected (p.Y492*) in all 748 BC cases analyzed. Unlike previous findings, this preliminary analysis suggests that rare RECQL synonymous variants may also increase an individual’s lifetime risk of developing BC; further investigation is warranted. Citation Format: Madison R. Chandler, Sydney Bergstresser, Anna LW Huskey, Elizabeth Stallworth, Amber Davis, Holly Dean, Brandon Johnson, Nancy D. Merner. Investigation of RECQL variants in European and African American breast cancer cohorts [abstract]. In: Proceedings of the AACR Special Conference: Advances in Breast Cancer Research; 2017 Oct 7-10; Hollywood, CA. Philadelphia (PA): AACR; Mol Cancer Res 2018;16(8_Suppl):Abstract nr A29.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".