GenoMatrix正式发布低覆盖度全基因组测序（low-coverage Whole Genome Sequencing, lcWGS）偏差控制标准操作规程（QC SOP）v1.0。该规程基于新疆农业大学2026年最新发表的lcWGS综合综述，系统梳理了lcWGS数据处理中的8类偏差源，并将其转化为可执行的质量控制标准。
8类偏差源涵盖：覆盖度不均匀性、等位基因丢失（allele dropout）、参考基因组偏差、连锁不平衡膨胀（LD inflation）、群体结构混淆、批次效应、GC含量偏差以及样本污染。每一类偏差源均配有定量检测指标、阈值建议和修正策略。
本QC SOP将纳入GenoMatrix的CRO Pipeline数据入库流程，作为所有外部测序数据接收的前置质量门控。所有合作方提交的lcWGS数据在进入EQAI统一数据库前，必须通过8项偏差检测，确保数据质量可追溯、可复现。
lcWGS因其低成本、大样本的优势，正在成为马属基因组学研究的主流方案，但其偏差控制一直是行业痛点。本SOP的发布标志着EQAI在数据质量控制方面迈出系统化的一步。
GenoMatrix officially releases the Bias Control Standard Operating Procedure (QC SOP) v1.0 for low-coverage Whole Genome Sequencing (lcWGS). Based on a comprehensive lcWGS review published by Xinjiang Agricultural University in 2026, this procedure systematically addresses 8 categories of bias sources in lcWGS data processing.
The 8 bias sources include: coverage non-uniformity, allele dropout, reference genome bias, LD inflation, population structure confounding, batch effects, GC content bias, and sample contamination. Each category is accompanied by quantitative detection metrics, threshold recommendations, and correction strategies.
This QC SOP will be integrated into GenoMatrix's CRO Pipeline data intake process as a mandatory pre-quality gate for all external sequencing data. All lcWGS data submitted by partners must pass 8 bias detection checks before entering the EQAI unified database.
lcWGS is becoming the mainstream approach in equine genomics due to its low-cost, large-sample advantages. This SOP marks a systematic step forward in EQAI's data quality control capabilities.