Find measurable genetic biomarkers

Biomarker discovery

Find out about genetic biomarker discovery by NGS and microarrays

Genomic alterations form the basis of diseases and disorders, ranging from single-nucleotide polymorphisms (SNPs) and insertions/deletions (InDels) to copy number variations (CNVs) affecting entire genes.

Disease-associated genetic biomarkers can be identified and used to assess disease susceptibility, stratify patient populations, and define pharmacological targets.

The preferred methods for biomarker discovery include next generation sequencing (NGS) and microarrays.

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Applications for genetic biomarker discovery

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Genome-wide genetic biomarker discovery with NGS

The genome-wide discovery of unknown genetic biomarkers is done by NGS-based whole genome sequencing, low pass whole genome sequencing and whole exome sequencing, as well as gene panels.

Whole genome sequencing (WGS) describes the sequencing of all DNA present in the genome (including mitochondrial DNA) and is performed on the Illumina NovaSeq 6000 platform with a 30x coverage. The sequencing results are then compared to a reference sequence to identify alteration between samples and enable biomarker discovery.

Image: Depiction of a single-nucleotide polymorphism in humans (image source: https://www.genome.gov/dna-day/15-ways/human-genomic-variation, created by: National Human Genome Research Institute).

Image: Depiction of the low pass whole genome sequencing principle.

Low pass whole genome sequencing (LP-WGS) is a cost-efficient alternative to WGS for biomarker discovery. It is performed on the NovaSeq 6000 platform with a 10x coverage. Due to the lower coverage, some genomic regions will be incomplete. However, the missing genomic region can be filled by imputation algorithm. The faster sample throughput and lower costs make LP-WGS a great application to screen large cohorts with thousands of patients for instance.

Whole exome sequencing (WES) is widely utilised for biomarker discovery. As the exome represents about 1% of the whole human genome but contains approximately 85% of disease-related mutations, WES can be used to discover novel mutations and genetic biomarkers for complex diseases. Due to the small proportion of the exome compared to the genome, WES has a 100x average on target coverage.

Image: Share of the exome compared to the whole genome.

Transcriptomics for genetic biomarker discovery

Genetic biomarkers can also be discovered on the RNA level. With a whole transcriptome analysis, researchers can gain access to all expressed RNAs, including miRNAs that have been proposed as biomarkers for different cancers and myocardial infarction for instance, and splicing events. Transcriptome analysis can be performed even if only small amounts of input RNA is available (down to 0.15 ng/µl).

By utilising RNA enrichment, transcriptome sequencing can also be directed to specific parts of the transcriptome for a more focused RNA biomarker discovery.

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Genetic biomarker discovery with gene panels

Gene panels commonly describe the simultaneous NGS-based analysis of genes or regions (from a few to thousands) that are associated with specific diseases and disorders. Capturing of specific genes and regions is done by hybridisation to target-specific probes.

Target enrichment panels are used to analyse any genomic region, from the exome down to single genes, to detect SNPs and InDels, fusion genes and copy number variations (CNVs). Target enrichment panels (using hybridisation enrichment) are regarded by many as the best-suited method for genetic biomarker discovery and outcompete enrichment by amplicons. An outstanding example for target enrichment panels is the INVIEW Oncopanel that allows for the analysis of 591 key cancer-specific genes.

Customised enrichment panels are based on an enrichment according to the customer’s requirements for biomarker discovery. These customised panels enable a focused analysis of any genomic region of interest and specific lists of genes. They give researchers the highest amount of flexibility, including coverage and sensitivity to certain genetic biomarkers.

The design of target enrichment panels is done and validated by the Eurofins Genomics research and development (R&D) team.

Genetic biomarker discovery with microarrays

We offer genetic biomarker discovery with genome-wide genotyping microarrays that are built on whole-genome reference data from the “1000 Genomes Project”, a catalogue of human genetic variations (Illumina Global Screening Array v3.0 and Thermo Fisher Precision Medicine Research Array). These microarrays target genetic variants that are relevant for clinical research, including disease and trait associated markers.

Microarrays can also be used for the expression analysis of the coding transcriptome in high sample throughput. The utilised Clariom GO Screen arrays can detect around 20,000 genes without overlap for pathway analysis for instance. Significantly, these gene expression microarrays utilise cells to signal technology, where cell lysates are sufficient as samples. This gives researchers additional flexibility for their biomarker discovery projects.

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