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Journal of Communication 32 (3 – 4): 495– 520. https://doi.org/10.22230/cjc.
2007v32n3a1876.
Borck, Cornelius, ed. (2013) Hans Blumenberg beobachtet: Philosophie,
Wissenschaft und Technik. Freiburg: Verlag Karl Alber.
Borck, Cornelius (2016) “How We May Think: Imaging and Writing
Technologies across the History of the Neurosciences.” Studies in History
and Philosophy of Science Part C: Studies in History and Philosophy of
Biological and Biomedical Sciences 57 (June): 112– 20. https://doi.org/10.10
16/j.shpsc.2016.02.006.
Borck, Cornelius (2017) “Vital Brains: On the Entanglement of Media,
Minds, and Models.” In Vital Models: The Making and Use of Models in the
Brain Sciences, edited by Tara Mahfoud, Sam McLean, and Nikolas Rose,
233: 1– 24. Cambridge, MA: Academic Press. https://doi.org/10.1016/bs.pbr.2
017.06.005.
Borck, Cornelius (2022) “Tactile Vision, Epistemic Things and Data
Visualization.” Berichte zur Wissenschaftsgeschichte 45 (3): 415– 27. http
s://doi.org/10.1002/bewi.202200032.
C
Canguilhem, Georges (1991) The Normal and the Pathological. Translated by
Carolyn R. Fawcett. New York, NY: Zone Books.
Chappell, Lia, Andrew J. C. Russell, and Thierry Voet (2018) “Single-Cell
(Multi)Omics Technologies.” Annual Review of Genomics and Human
Genetics 19: 15– 41. https://doi.org/10.1146/annurev-genom-091416-035324.
Clarke, Adele E., Janet K. Shim, Laura Mamo, Jennifer Ruth Fosket, and
Jennifer R. Fishman (2003) “Biomedicalization: Technoscientific
Transformations of Health, Illness, and U.S. Biomedicine.” American
Sociological Review 68 (2): 161– 94. https://doi.org/10.1177/00031224030680
0201.
Coopmans, Catelijne, Janet Vertesi, Michael E. Lynch, and Steve Woolgar,
eds. (2014) Representation in Scientific Practice Revisited. Cambridge, MA:
MIT Press.
D
Daston, Lorraine, and Peter Galison (2007) Objectivity. New York, NY: Zone
Books.
Debschitz, Uta von, and Thilo von Debschitz (2017) Fritz Kahn:
Infographics Pioneer. Cologne: Taschen.
Delehanty, Megan (2010) “Why Images?” Medicine Studies 2 (3): 161–73.
https://doi.org/10.1007/s12376-010-0052-2.
Dröscher, Ariane (2014) “Images of Cell Trees, Cell Lines, and Cell Fates:
The Legacy of Ernst Haeckel and August Weismann in Stem Cell Research.”
History and Philosophy of the Life Sciences 36 (2): 157– 86. https://doi.org/1
0.1007/s40656-014-0028-8.
E

Erikainen, Sonja, and Sarah Chan (2019) “Contested Futures: Envisioning
‘Personalized,’ ‘Stratified,’ and ‘Precision’ Medicine.” New Genetics and
Society 38 (3): 308 –30. https://doi.org/10.1080/14636778.2019.1637720.
H
Hansen, John T. (2006) “Frank H. Netter, M.D. (1906 –1991): The Artist and
His Legacy.” Clinical Anatomy 19 (6): 481– 86. https://doi.org/10.1002/ca.203
58.
Hedgecoe, Adam (2004) The Politics of Personalised Medicine:
Pharmacogenetics in the Clinic. Cambridge, UK: Cambridge University
Press.
Heintz, Bettina, and Jörg Huber, eds. (2001) Mit dem Auge denken:
Strategien der Sichtbarmachung in wissenschaftlichen und virtuellen Welten.
Zurich: Edition Voldemeer.
Hentschel, Klaus (2014) Visual Cultures in Science and Technology: A
Comparative History. Oxford: Oxford University Press.
Hofmann, Bjørn (2016) “Medicalization and Overdiagnosis: Different but
Alike.” Medicine, Health Care and Philosophy 19 (2): 253 – 64. https://doi.or
g/10.1007/s11019-016-9693-6.
J
Jasanoff, Sheila (2015) “Future Imperfect: Science, Technology, and the
Imaginations of Modernity.” In Dreamscapes of Modernity: Sociotechnical
Imaginaries and the Fabrication of Power, edited by Sheila Jasanoff and
Sang-Hyun Kim, 1–33. Chicago: University of Chicago Press.
Jones, Caroline A., and Peter L. Galison, eds. (1998) Picturing Science,
Producing Art. New York, NY: Routledge.
K
Kahn, Fritz (1922-1931) Das Leben des Menschen: Eine volkstümliche
Anatomie, Biologie, Physiologie und Entwicklungsgeschichte des Menschen,
vols. 1–5. Stuttgart: Franckh’sche Verlagsbuchhandlung.
Kahn, Fritz (1943) Man in Structure and Function, vol. 1. Edited and
translated by George Rosen. New York, NY: Alfred Knopf.
Kemp, Martin (1997) “Seeing and Picturing: Visual Representation in
Twentieth-Century Science.” In Science in the Twentieth Century, edited by
John Krige and Dominique Pestre, 361– 89. Amsterdam: Harwood.
Knorr-Cetina, Karin (1999) “‘Viskurse’ der Physik: Wie visuelle
Darstellungen ein Wissenschaftsgebiet ordnen.” In Konstruktionen:
Sichtbarkeiten, edited by Jörg Huber and Martin Heller, 245– 63. Vienna:
Springer.
Kobak, Dmitry, and Philipp Berens (2019) “The Art of Using T-SNE for
Single-Cell Transcriptomics.” Nature Communications 10 (1): 5416. https://do
i.org/10.1038/s41467-019-13056-x.
Konrad, Kornelia Elke, Harro van Lente, Christopher Groves, and Cynthia
Selin (2017) “Performing and Governing the Future in Science and

Technology.” In The Handbook of Science and Technology Studies, 4th ed.,
edited by Ulrike Felt, Rayvon Fouché, Clark A. Miller, and Laurel Smith-Doerr,
465– 93. Cambridge, MA: MIT Press.
L
Latour, Bruno (1986) “Visualisation and Cognition: Drawing Things Together.”
In Knowledge and Society: Studies in the Sociology of Culture Past and
Present, edited by Henrika Kuklick and Elizabeth Long, 6: 1– 40. Greenwich,
CT: Jai Press.
Lynch, Michael, and Steve Woolgar, eds. (1990) Representation in
Scientific Practice. Cambridge, MA: MIT Press.
M
McAllister, James W. (2013) “Reasoning with Visual Metaphors.” The
Knowledge Engineering Review 28 (3): 367–79. https://doi.org/10.1017/S0269
888913000295.
Meunier, Robert (2022) “Approaches in Post-Experimental Science: The
Case of Precision Medicine.” Berichte zur Wissenschaftsgeschichte 45 (3):
373 – 83. https://doi.org/10.1002/bewi.202200020.
Meunier, Robert, and Christian Herzog (2023) “Omics and in Precision
Medicine: Maintaining Socio-Technical Imaginaries by Transforming
Technological Assemblages.” TATuP – Zeitschrift für
Technikfolgenabschätzung in Theorie und Praxis 32 (3): 48 – 53. https://doi.o
rg/10.14512/tatup.32.3.48.
N
Netter, Frank H. (1949) “A Medical Illustrator at Work.” In Ciba Symposia
(May–June), edited by Caspari Rosen, 10, 6: 1087– 92. Ciba Pharmaceutical
Products, Inc.
Netter, Frank H. (1965) Endocrine System and Selected Metabolic
Diseases: The Ciba Collection of Medical Illustrations, vol. 4. New York, NY:
Colorpress.
Nyhart, Lynn K. (2023) “Commentary: Visual Cultures, Publication
Technologies, and Legitimation in the Life Sciences.” Berichte zur
Wissenschaftsgeschichte 46 (2–3): 283 – 93. https://doi.org/10.1002/bewi.20
2300025.
P
Pauwels, Luc, ed. (2006) Visual Cultures of Science: Rethinking
Representational Practices in Knowledge Building and Science
Communication. Hanover, NH: Dartmouth College Press.
Plass, Mireya, Jordi Solana, F. Alexander Wolf, Salah Ayoub, Aristotelis
Misios, Petar Glažar, Benedikt Obermayer, Fabian J. Theis, Christine Kocks,
and Nikolaus Rajewsky (2018) “Cell Type Atlas and Lineage Tree of a Whole
Complex Animal by Single-Cell Transcriptomics.” Science 360 (6391):
eaaq1723. https://doi.org/10.1126/science.aaq1723.

Q
Quirke, Viviane, and Jean-Paul Gaudillière (2008) “The Era of Biomedicine:
Science, Medicine, and Public Health in Britain and France after the Second
World War.” Medical History 52 (4): 441– 52. https://doi.org/10.1017/S00257
2730000017X.
R
Rajewsky, Nikolaus, Geneviève Almouzni, Stanislaw A. Gorski, Stein Aerts, Ido
Amit, Michela G. Bertero, Christoph Bock, et al. (2020) “LifeTime and
Improving European Healthcare through Cell-Based Interceptive Medicine.”
Nature 587 (7834): 377– 86. https://doi.org/10.1038/s41586-020-2715-9.
Rheinberger, Hans-Jörg (2023) Split and Splice: A Phenomenology of
Experimentation. Chicago: University of Chicago Press.
S
Stanger, Ben Z., and Geoffrey M. Wahl (2024) “Cancer as a Disease of
Development Gone Awry.” Annual Review of Pathology: Mechanisms of
Disease 19: 397– 421. https://doi.org/10.1146/annurev-pathmechdis-031621-
025610.
Steiner, Katharina, and Lukas Engelmann (2023) “Circulation as a Visual
Practice.” Berichte zur Wissenschaftsgeschichte 46 (2–3): 143 – 57. https://
doi.org/10.1002/bewi.202300023.
Stolz, Daiana, Takudzwa Mkorombindo, Desiree M. Schumann, Alvar
Agusti, Samuel Y. Ash, Mona Bafadhel, Chunxue Bai, et al. (2022) “Towards
the Elimination of Chronic Obstructive Pulmonary Disease: A Lancet
Commission.” The Lancet 400 (10356): 921–72. https://doi.org/10.1016/S014
0-6736(22)01273-9.
T
Tabery, James (2023) Tyranny of the Gene: Personalized Medicine and Its
Threat to Public Health. New York, NY: Knopf.
Tang, Xiao-Yan, Shanshan Wu, Da Wang, Chu Chu, Yuan Hong, Mengdan
Tao, Hao Hu, Min Xu, Xing Guo, and Yan Liu (2022) “Human Organoids in
Basic Research and Clinical Applications.” Signal Transduction and Targeted
Therapy 7: 168. https://doi.org/10.1038/s41392-022-01024-9.
Topol, Eric J. (2014) “Individualized Medicine from Prewomb to Tomb.” Cell
157 (1): 241– 53. https://doi.org/10.1016/j.cell.2014.02.012.
Tsimberidou, Apostolia M., Elena Fountzilas, Mina Nikanjam, and Razelle
Kurzrock (2020) “Review of Precision Cancer Medicine: Evolution of the
Treatment Paradigm.” Cancer Treatment Reviews 86 (June). https://doi.org/1
0.1016/j.ctrv.2020.102019.
Tufte, Edward R. (2006) Beautiful Evidence. Cheshire, CT: Graphics
Press.
V

Virchow, Rudolf Ludwig Karl (1860) Cellular Pathology. Translated by Frank
Chance. London: John Churchill.
W
Waddington, Conrad Hal (1957) The Strategy of the Genes: A Discussion of
Some Aspects of Theoretical Biology. London: Allen & Unwin.
Weismann, August (1893) The Germ-Plasm: A Theory of Heredity.
Translated by W. Newton Parker and Harriet Rönnfeldt. New York, NY: Charles
Scribner’s Sons.
Wellmann, Janina (2022) “History of Embryology: Visualizations through
Series and Animation.” In The Palgrave Handbook of the History of Human
Sciences, edited by David McCallum, 259 – 90. Singapore: Springer Nature.
https://doi.org/10.1007/978-981-16-7255-2_22.
EBSCOhost: eBook Collection (EBSCOhost) printed on 12/28/2025 12:59:26 PM UTC via
HERZEN STATE PEDAGOGICAL UNIVERSITY OF RUSSIA. All use subject to
https://www.ebsco.com/terms-of-use.

Building Biosociality through
Visualizations of Genome-Wide
Sequencing Risk for an Online
Patient Decision-Making Aid
()
Adam Christianson, Ariane Hanemaayer, Sophia
Martineck, Alexandra Hamann, Jan M. Friedman, and
Alison Elliott
Our chapter contributes to the visualization of disease by focusing on
genome-wide sequencing () and risk. We examine how risk is
communicated to patients using decision-making aids in genetic
counseling. Following a sociological analysis of an existing aid, we
worked collaboratively with a science communicator and an illustrator
to revisualize an affective and connected experience that could be
translated to prospective patients through a decision-making aid.
Personal decision-making aids (s) are often designed to inform
patients about procedures, which can assist with their informed
consent for testing and treatment options. s are meant to improve
patient knowledge and to allow people to use this knowledge
alongside their values and preferences to make a choice that feels
right for them. We contend that these visual aids play an important
role in providing not only information but also the potential to address
the affective elements of decision-making. In so doing, our is
informed by the biosocial premise that connection is beneficial to
patients and families. Our presents the patient with an illustrated
(graphic-medicine-style) comic that demonstrates the
interconnectedness of someone undergoing genetic testing with all
the relationships, actual and potential, throughout the diagnostic
odyssey.
1

To do so, we focus on the affective dimensions of visualizations of
risk related to genome-wide sequencing with the case study from a
decision-making aid developed by two of the authors (Friedman and
Elliott) and their colleagues (see Birch et al. 2016). Their research
tool is used in a children’s hospital in British Columbia, and it informs
the work of a team of geneticists and genetic counselors as well as
the patients and families that they treat there. Over the last decade,
the tool has been tested for effectiveness in practice. Our team took
a patient-reported result about low empowerment as an opening and
opportunity to re-illustrate some of the information around risks and
benefits in the online decision aid. The process of analyzing,
redesigning, and illustrating a new aid was not only interdisciplinary
but also inter-sectoral. The process involved a great deal of dialogue
across disciplinary and professional boundaries, which included
productive disagreements, confusion, reinterpretation, development of
a common language, consolidation, and compromise to reach the
state of the presented here.
To spell out the process, we first introduce and our case
study of a patient decision-making aid. Next, we analyze how risk is
visualized in the tool. Then, we draw on the sociological concept of
biosociality to rethink how patients might feel empowered and
connected through the knowledge that could be gained from genetic
testing. The analysis informed a collaboration among clinicians,
sociologists, scientific communication specialists, and illustrators. To
visualize the interconnectedness of patients and families with medical
specialists, we draw on the concept of biosociality. This concept aims
to empower through affective connection and offers alternative ways
of informing patients about the potential of genetic testing. We focus
on biosociality, as it aims to connect people through feelings of hope.
We conclude the chapter by discussing our process, potential
limitations, and future directions.
Genome-Wide Sequencing and Risk
Patients with rare genetic diseases often experience a lengthy
journey to diagnosis. Commonly called a diagnostic odyssey in the
clinical literature, this journey begins when patients or parents of
underage patients identify a serious, unexplained sign, symptom, or
group of clinical features that do not resolve quickly. The search for a
diagnosis becomes an odyssey when conventional clinical knowledge,

measures, and tests are not effective, and physicians turn to
specialized molecular knowledge that can delve into the deep interiors
of the body’s submicroscopic processes to arrive at a diagnosis. As
patients and their families search for a diagnosis, they embark on
what often amounts to a multiyear gamut of consultations and tests
(Carmichael et al. 2015). This process has quality-of-life implications
for the patient and can be costly and time-consuming for clinics and
health systems.
New advances in genome sequencing offer patients and families a
realistic option for ending the diagnostic odyssey. Genome-wide
sequencing () is a process by which the patient’s whole genome
(genetic code) is analyzed concurrently, often alongside the genomes
of other family members. has the potential to shorten a
diagnostic odyssey and is sensitive enough that an analyst can
identify single-nucleotide variants across six billion nucleotides in the
human genome. It is, therefore, a powerful tool for identifying
pathogenic variants (genetic changes that result in disease) that might
be missed by analyzing genes one at a time. New technologies make
increasingly affordable (Sawyer et al. 2016; Wetterstrand 2022)
and, in some instances, even cost-saving in the long term (Regier et
al. 2024). For these reasons, is becoming a routine diagnostic
option for patients and families who are suspected of having a
genetic disease.
In addition to improving the treatment or management of a
disease, there are additional reasons that patients and families might
elect to undergo . Clinicians on our team observed that
results can assist with family planning, including both guiding future
reproductive options and providing patients and families with a
greater understanding of their condition, thus improving their quality of
life through knowledge and access to societal resources they may
need (Lingen et al. 2016; Makela et al. 2009). While may be a
cost-efficient way to end a patient’s diagnostic journey, clinicians are
dedicated to the idea that patients and families should carefully
consider the risks and meanings associated with undertaking the test
and receiving the results. While genetic testing is minimally invasive
and comes at minimal physical risk to the patient, the consequences
of undergoing genetic testing can be significant.
Further to ending the diagnostic odyssey, our team wanted to
illustrate additional benefits to undertaking . For example, the
2

counseling process associated with often helps people connect
to others with similar conditions, and they are often connected to
supports they would not have accessed otherwise, such as access to
early childhood programs, developmental evaluation, or educational
assistants at school. People also commonly express pride in how
their genetic information forwards science (Birch et al. 2016). In our
collaborative process, we focused on this experience of connection,
which builds upon the literature on biosociality.
Diagnosing genetic conditions could also have negative outcomes.
There are social, financial, medical, and psychological risks
associated with undergoing . For example, obtaining a diagnosis
can have a psychological impact on the patient and family, especially
if the condition found is incurable. Discovering a heritable gene could
also affect the insurability of the patient’s extended family, depending
on the legal context where testing is completed. Further, learning and
communicating a genetic condition has connotations that touch on the
morals implicit in a person’s reproductive choices, such as the
valuation of (dis)ability (i.e., ableism), and the practical impacts of
discrimination a person or family may experience. However,
diagnoses are often elusive, even with . About 35 to 50 percent
of patients undergoing can expect to receive a diagnosis. Those
who do not receive a diagnosis may drop out of care or may
mistakenly be advised or conclude their condition is not genetic, which
may have dire consequences for the patient and their family. In these
cases, the diagnostic odyssey may continue. Because
examines more than 20,000 genes, it is also possible that testing will
identify genetic variants that have nothing to do with the problems that
led to the testing but still have serious implications. These genetic
variants, known as incidental findings (), may indicate susceptibility
to additional illnesses (e.g., cancer), with similar implications for the
extended family. Moreover, patients risk uncovering variants of
unknown significance (), which may add further uncertainty. Both
and can extend and complicate a patient’s diagnostic odyssey
in unexpected ways.
Our team did not always agree about what is a negative outcome
or possible risk to . For example, the clinicians understood
insurability as a major risk for some patients, whereas ending the
odyssey was seen as a benefit. The sociologists, alternatively,
believed that the possibility of not getting answers (a diagnosis) could
3

be seen as a risk associated with getting the results of , but,
similarly, knowledge of could also be distressing because of the
uncertainty involved. Where the team did agree was on the
importance of recognizing all these possible feelings through our
illustrated graphics and maintaining the emphasis on connection in the
final comic. We now turn to a discussion of the that our project
extends and adds to.
DECIDE
Due in part to the high demand for genetic counselors, researchers in
British Columbia (and elsewhere) identified the need for a computer-
based tool to facilitate and optimize genetic counseling for (e.g.,
Birch 2015). (Decision & E-Counseling for Inherited Disorder
Evaluation), our case study, was developed by a team of researchers
at the University of British Columbia between 2014 and 2019.
aims to “guide adult patients or parents of affected children toward a
decision about whether or not to have diagnostic ” (Adam et al.
2019, 11). It accomplishes this by providing video and textual
information as well as illustrations about genetic testing and the
benefits and risks associated with . Patients are provided with a
private invitation link to complete this virtual tool on their own time
before meeting with a physician or genetic counselor, at which point
the patient can have an informed discussion. The tool introduces
patients to the possibility of consenting to the test and whether they
also want to be informed about incidental genetic findings and
(Adam et al. 2019, 11).
is a computerized patient decision aid (). A is an
evidence-based approach to risk communication in which
probabilities, treatment outcomes, and options are presented in a
patient-friendly manner (Charles et al. 2005). Conventionally,
decision-making aids present pictographic representations of
probabilities alongside text to improve health numeracy and
knowledge (Peters et al. 2007). Interactives frequently accompany
these representations to help the patient weigh their values,
preferences, and goals for health. s are useful in contexts where
individual patients face multiple or complex decisions that are
challenging for clinicians to resolve based on clinical experience or
knowledge alone (Montori et al. 2015). s aim to enhance shared
decision-making, making them an appealing complement to
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