{
  "id": 3529273,
  "title": "Evaluating Aggregated Gene Level eQTL Scores",
  "url": "https://urgent.news/2026/08/26/evaluating-aggregated-gene-level-eqtl-scores",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-26T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.21.746287v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Genetic feature engineering, used in methods such as transcriptome-wide association study, supports gene-trait association testing by aggregating single variants into gene-level features predictive of expression. To evaluate how different model architectures, LD filtering thresholds, and variant prioritization methods affect expression prediction quality, we trained over 3 million models and…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}