Art is science in love.
— E.F. Weisslitz
In collaboration with the BC Cancer Foundation, I created a set of 100 one-of-a-kind artworks gifted to Board Members and volunteers of the Beyond Belief Campaign in recognition of their efforts and contributions.
The Beyond Belief Campaign was launched in 2022 and has raised nearly $500 million for cancer research.
Our artwork takes a new twist on the BRCA1 and BRCA2 genes. What makes each piece different? Read below to discover.
BC Cancer’s mandate covers the full spectrum of cancer care from prevention, screening, diagnosis and treatment, to research and education, to supportive and palliative care.
The Beyond Belief Campaign has raised nearly $500 million for cancer research.
Activate World-Class Experts
Empower BC Cancer’s world-class experts across the province to help them unleash their full potential.
Create cutting-edge research opportunities to attract and retain top talent at BC Cancer.
Train and develop the next generation of scientists and clinicians.
Supply the necessary resources and tools for BC Cancer experts to conduct life-saving research.
Advance
Innovation
BC Cancer has a history of innovations that fast become the standard of care around the world.
Pioneer cutting-edge treatments with state-of-the-art facilities, research and clinical trials.
Revolutionize how cancer is treated by advancing new precision treatments.
Enable early detection and screening with enhanced techniques.
Accelerate Access
to Care
Bring world-class cancer care closer to home for every British Columbian.
Equip existing and new BC Cancer centres with state-of-the-art technologies for diagnostics, treatment and early detection.
Expand BC Cancer’s provincial clinical trials network to provide patients access to the cutting-edge treatments, no matter where they live.
Enhance supportive care services to support the physical, mental and emotional well-being of patients and families.
source: BC Cancer Foundation
Since 2016, the Familial Pancreatic Cancer Program supported over 1,200 people with pancreatic cancer – 9.5% of those who completed genetic testing had an inherited susceptibility gene that, for some patients, enabled the use of specific types of chemotherapy that are more effective in people with BRCA mutations.
In 2023, a pilot project was launched to offer genetic testing for all breast cancer patients under 60 to identify genetic mutations that increase cancer risk, including the BRCA mutation – so far, two out of thirty patients who underwent testing were identified as carrying mutations and are now being supported by the Hereditary Cancer Program.
In 2024, a first-in-Canada initiative was launched to directly contact relatives of high-risk individuals to pursue genetic testing, including for the BCRA gene mutations. As of mid-2025, 55 at-risk families have been identified as eligible to undergo Parent-of-Origin-Aware genomic analysis.
BRCA1 and BRCA2 genes are so-called tumor suppressor genes, also known as anti-oncogenes. Genes of this type regulate the cell during division and guard against uncontrollable division of cells.
The proteins of both BRCA1 and BRCA2 are normally expressed in the cells of breast and other tissues, where they help repair damaged DNA, or destroy cells if DNA cannot be repaired.
Mutations in these genes create dysfunctional proteins. This puts people at a higher risk of developing breast, ovarian, pancreatic, prostate and other types of cancer.
The fundraising campaign could not happen without tireless support from volunteers. Our aim was to create artwork that could say not only "thank you" but speak to the team work and effort required for scientific advance.
The artwork depicts The discovery and insight gained into the function of these two genes (among others) have led to world leading advancements in care for breast, prostate, ovarian, pancreatic cancer patients at BC Cancer.
Below, I place the artwork in context of the genome and walk you through the elements on it.
For technical details about how the artwork was constructed, see the Methods section.
The BRCA1 and BRCA2 genes are on chromosomes 17 and 13, respectively. In the figure below, I show all the human chromosomes and call out the positions of these genes.
Relative to the chromosomes, the genes are very tiny. For example, chromosome 17 is about 83,000,000 bases long but the genomic region that corresponds to the BRCA1 gene is only about 81,000 bases — 1/1000th the length of the chromosome.
Relative to other genes, BRCA1 and BRCA2 are longer than the median, which is about 24,000 bases.
If we zoom in on the view above by a factor of 4,000×, the structure of the BRCA1 and BRCA2 genes is revealed.
Most of the genes are composed of introns, which are regions of the sequence that do not participate in the protein sequence.
A small fraction of the gene region is made up on exons, most of which code for protein, meaning that their genomic sequence encodes the amino acid sequence of the protein. A few of exons are non-coding.
The artwork is based on the genomic regions of BRCA1 and BRCA2, with a focus on protein sequence. However, because most of the genes are introns, I've decided to depict the genes with the introns compressed. This makes more room for the exons — and annotating the art with protein sequence.
With the introns compressed, the relative lengths of the genes is closer to the relative lengths of their proteins. The length of the wild-type BRCA1 and BRCA2 proteins is 1,863 and 3,418 amino acids, respectively.
Now that you have a rough sense of the structure and relative length of the genes, let's look at how we might draw their structure in the figure above in a way that is both more interesting to the eye but that also adds another layer of information.
The genes on the artwork are drawn as a path, which is shared by all the 100 artworks. This path is shown below.
The compression factor for non-coding exons and introns is a little different here than in the expanded linear view. There's nothing particularly special about this change of scale — I've selected it to create paths that had an intersting shape and snugly fit onto a square canvas.
You will notice that the path curves in some regions more than in others. This curvature is determined by the entropy of the genomic sequence.
In this context, entropy refers to the level of information (or uncertainty). The path is straighter in regions with low entropy (or information). These are regions of the gene that have more repeat content (e.g. ATATAT
). The path is curvier in regions of high information, where there is less repetition in the sequence.
For more information about entropy, see the Methods section.
Now that you know what the backbone of each artwork is, it's time to turn to what makes each of the 100 versions unique.
As I mentioned, the wild-type protein sequences of BRCA1 and BRCA2 are composed of 1,863 and 3,418 amino acids, respectively. Each artwork labels the positions of a subset of these amino acids — about 19 on BRCA1 and 34 on BRCA2.
This set of amino acids is different for each artwork. Moreover, any given amino acid appears in only one artwork. Technically, these sets represent a partitioning of the sequence.
Any one artwork does not tell you the whole story but the entire set does. If you looked at each artwork carefully (you'd have to look at them all), you could work out the protein sequence of the two genes.
In addition, each artwork shows a mutation on each gene. This mutation was selected from ClinVar as being somatic, pathogenic, single nucleotide variant and reviewed by an expert panel.
The mutation is either nonsense (one amino acid is mutated into another) or terminating (the protein is truncated at the position of the mutation). Across the 100 artworks, 100 different BRCA1 and 100 different BRCA2 mutations are shown.
Each artwork comes with an interpretive plaque that describes what is shown and shows the position of the amino acids and mutations along the full length of the protein.
Fuelled by philanthropy, findings into the workings of BRCA1 and BRCA2 genes have led to groundbreaking research and lifesaving innovations to care for families facing cancer.
This set of 100 one-of-a-kind prints explore the structure of these genes. Each artwork is unique — if you put them all together, you get the full sequence of the BRCA1 and BRCA2 proteins.
The needs of the many outweigh the needs of the few. —Mr. Spock (Star Trek II)
This month, we explore a related and powerful technique to address bias: propensity score weighting (PSW), which applies weights to each subject instead of matching (or discarding) them.
Kurz, C.F., Krzywinski, M. & Altman, N. (2025) Points of significance: Propensity score weighting. Nat. Methods 22:1–3.
Celebrate π Day (March 14th) and sequence digits like its 1999. Let's call some peaks.
I don’t have good luck in the match points. —Rafael Nadal, Spanish tennis player
Points of Significance is an ongoing series of short articles about statistics in Nature Methods that started in 2013. Its aim is to provide clear explanations of essential concepts in statistics for a nonspecialist audience. The articles favor heuristic explanations and make extensive use of simulated examples and graphical explanations, while maintaining mathematical rigor.
Topics range from basic, but often misunderstood, such as uncertainty and P-values, to relatively advanced, but often neglected, such as the error-in-variables problem and the curse of dimensionality. More recent articles have focused on timely topics such as modeling of epidemics, machine learning, and neural networks.
In this article, we discuss the evolution of topics and details behind some of the story arcs, our approach to crafting statistical explanations and narratives, and our use of figures and numerical simulations as props for building understanding.
Altman, N. & Krzywinski, M. (2025) Crafting 10 Years of Statistics Explanations: Points of Significance. Annual Review of Statistics and Its Application 12:69–87.
I don’t have good luck in the match points. —Rafael Nadal, Spanish tennis player
In many experimental designs, we need to keep in mind the possibility of confounding variables, which may give rise to bias in the estimate of the treatment effect.
If the control and experimental groups aren't matched (or, roughly, similar enough), this bias can arise.
Sometimes this can be dealt with by randomizing, which on average can balance this effect out. When randomization is not possible, propensity score matching is an excellent strategy to match control and experimental groups.
Kurz, C.F., Krzywinski, M. & Altman, N. (2024) Points of significance: Propensity score matching. Nat. Methods 21:1770–1772.
P-values combined with estimates of effect size are used to assess the importance of experimental results. However, their interpretation can be invalidated by selection bias when testing multiple hypotheses, fitting multiple models or even informally selecting results that seem interesting after observing the data.
We offer an introduction to principled uses of p-values (targeted at the non-specialist) and identify questionable practices to be avoided.
Altman, N. & Krzywinski, M. (2024) Understanding p-values and significance. Laboratory Animals 58:443–446.