Low Pass Sequencing (1–3x Coverage)

Low pass sequencing is a cost-effective genomic approach that provides genome-wide coverage at low depth (1–3x). By combining this data with powerful imputation algorithms, it can identify common genetic variants across the genome, making it ideal for population-scale studies, polygenic risk scoring, and pre-screening applications.

Conditions Detected by Low Pass Sequencing

Genome Sequencing Solutions

Why It’s a Smart Choice

Genome-Wide Insight

Covers the entire genome at a low depth for broad variant detection through low pass genome sequencing.

Budget-Friendly

Reduces sequencing costs while retaining valuable genomic data and accuracy.

Imputation Power

Boosts accuracy by combining low pass sequencing with imputation from large reference panels.

Research Ready

Perfect for population genomics, biobank projects, and scalable screening efforts.

How It Works

Big Data. Simple Steps.

Why Choose FSG for Low Pass Sequencing

Frequently Asked
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What is low pass genome sequencing?

Low pass genome sequencing is a genomic method where the entire genome is sequenced at a low depth, typically between 1–3x coverage. Although each base is read fewer times compared to traditional high-coverage sequencing, advanced imputation techniques are used to accurately predict genetic variants. This approach offers a cost-effective solution for broad genetic profiling, population studies, and risk assessment applications.

The three main types of sequencing are whole genome sequencing (WGS), whole exome sequencing (WES), and targeted sequencing. WGS covers the entire genome, WES focuses on the protein-coding regions, and targeted sequencing analyzes specific genes or regions of interest. Techniques like low pass sequencing are increasingly used within whole genome strategies to balance cost with comprehensive genomic insight.

Low coverage sequencing refers to sequencing a genome at a lower depth, usually between 1x and 5x, rather than the standard 30x or higher used for deep sequencing. Low pass sequencing is a form of low coverage sequencing that relies on statistical imputation to fill in missing data points, enabling accurate identification of common genetic variants while significantly reducing costs, making it ideal for large-scale research and screening projects.

Ultra low pass whole genome sequencing involves sequencing the genome at an extremely low depth, often below 1x coverage. Despite minimal initial data, imputation algorithms enhance the results, allowing for broad genomic analysis. This is particularly valuable in large population studies, biobanking, and preliminary genetic screening, where cost-effectiveness and scalability are critical.

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