genome

Scaling Genomics

Joseph Pickrell and Tomaz Berisa, Gencove

Joseph Pickrell and Tomaz Berisa


Genomics is on the verge of enabling a torrent of data-driven invention, personalization and decision-making. 
Applications will extend across all forms of life?—?from humans to animals to plants to microbes.

In healthcare, genomics could pervade nearly every aspect of patient care, from prevention strategies to decisions about treatments. It also will provide the basis for a new generation of targeted drugs and therapies that can extend and improve the quality of life for billions of people. In agriculture, genomics will optimize plant and animal productivity while aiding in disease resistance and food safety/traceability. Genomics will also play a role in animal conservation, environmental monitoring, and public health and safety.

All these new opportunities will lead to the creation of new markets, products and services, requiring new tools and platforms.

At Spero Ventures, we invest in technologies that make life worth living. We believe genomics will be foundational to advancing the health and well-being of humanity and the planet. It will inform decision-making and touch lives in ways we cannot yet imagine and may not even see. And so it gives us great pleasure to announce our investment in Gencove.

Gencove, led by co-founders Joe Pickrell and Tomaz Berisa, is developing and commercializing a software platform to support low-pass whole genome sequencing. Low-pass sequencing sequences the whole genome at low depth (0.4–4x) and uses imputation algorithms to fill in missing data. The platform empowers decision-makers across consumer, clinical, research, and agricultural fields with easy and affordable access to rich genomic data and insights.

Whole genome sequencing is the most expensive form of sequencing and the most exhaustive. It maps all three billion base pairs within a (human) genome, providing a massive volume of data for analysis. It serves as the foundation for generating new knowledge of how and why living beings develop. And it is becoming the gold standard for discovering new genetic variants and new relationships between genotypes and phenotypes.

The cost of whole genome sequencing has declined dramatically since the early days of the Human Genome Project, famously outpacing Moore’s law. Reductions originally owed to the introduction of Next Generation Sequencing1, followed by hardware improvements, and more recently software that shifts cost and computational burden to later stage analysis2. Despite these reductions, the $500–1000 price point (and even the widely-touted yet still aspirational $100 price point) for whole genome sequencing remains out of reach for a wide range of applications. Without an affordable alternative, these applications will either fail to be commercialized, remain niche and unaffordable for most, or rely on the limited subset of data offered by less expensive DNA microarrays3 (which typically cover 0.03% of the genome).

Low-pass sequencing (LPS) is this affordable, data rich alternative. And Gencove is making LPS available to customers at price points beginning at $50 per sequence?—?on par with microarrays. In addition to offering comprehensive coverage, LPS outperforms microarrays in detecting both common and rare genetic variation. LPS does not require a priori knowledge of the genome making it suitable for new variant discovery and free from the bias inherent in microarrays (which are widely seen as unsuitable for non-Caucasian/European populations not well covered by reference databases).

Gencove’s customers are integrating low-pass sequence data into personalized consumer product offerings, new research modalities, novel diagnostics, plant/animal breeding programs, and more.

We are excited partner with Gencove in its mission to bring affordable genomic insights to customers and industries that have never before been able to affordably integrate them at scale?—?potentially unlocking discoveries and innovations we have yet to imagine.


  1. Next Generation (or High-Throughput) Sequencing became the most widely used technique in the early-2000s due to its ability to handle large-scale, automated genome analysis. 

  2. Including genome assembly, variant calling, quality control, etc. 

  3. Microarrays examine a predetermined set of sites on the genome from which one can infer ancestry, genetic relationships, and some disease risks. 

Decoding Cancer Genes

I don’t think I’ve ever talked about medical stuff on my blog, but the complexity of the human body has always fascinated and confounded me. I never wanted to be a doctor, but my two cousins are brilliant doctor-researchers and they explain complex medical issues incredibly well and through them I have a sliver of a window into the world of medical academics.

The news that “researchers have decoded all the genes of a person with cancer and found a set of mutations that may have caused the disease or aided its progression” seems like an incredible leap forward in the understanding of cancer.

The new research, by looking at the entire genome — all the DNA — and aiming to find all the mutations involved in a particular cancer, differs markedly from earlier studies, which have searched fewer genes for individual mutations. The project, which took months and cost $1 million, was made possible by recent advances in technology that have made it easier and cheaper to analyze 100 million DNA snippets than it used to be to analyze 100.

The study was done at Washington University in St. Louis and is being published Thursday in the journal Nature. It is the first report of a “cancer genome,” and researchers say many more are to come.

Having the full genome decoded expands the pool of suspects dramatically… and that could change the way that cancers are treated.

Indeed, 8 of the 10 mutations his group found in the leukemia patient had never been linked to the disease before and would not have been found with the more traditional, “usual suspects” approach.

Despite all the years of research, I find it amazing that there is still so much that is not known about cancer. Forget cancer, but about the human body! It is completely understandable and completely frustrating at the same time. In fact the article talks about how they studied others with the same disease and none of them had the eight mutations of the first patient. So it seems like it will take a lot more effort and research to find the commonality that causes all the patients to start at different points but end up with the same disease.

Still, it seems to be a wonderful first step.

Dr. Wilson said he hoped that in 5 to 20 years, decoding a patient’s cancer genome would consist of dropping a spot of blood onto a chip that slides into a desktop computer and getting back a report that suggests which drugs will work best.

I hope that number is closer to the 5 year mark – for the sake of all those who suffer through cancer and for the families that love them.