{"id":6433,"date":"2022-10-17T09:15:49","date_gmt":"2022-10-17T13:15:49","guid":{"rendered":"https:\/\/blogs.cdc.gov\/genomics\/?p=6433"},"modified":"2022-11-07T11:37:02","modified_gmt":"2022-11-07T16:37:02","slug":"the-limits-of-risk-prediction","status":"publish","type":"post","link":"https:\/\/blogs.cdc.gov\/genomics\/2022\/10\/17\/the-limits-of-risk-prediction\/","title":{"rendered":"The Limits of Risk Prediction: Remembering Cecile Janssens"},"content":{"rendered":"
\n

\u201cThe number of possible \u2018causal\u2019 [gene-environment] interactions is so enormous that every patient’s disease likely has its own complex and unique cause.
\nThis uniqueness limits predictive ability: it is impossible to accurately predict something that has never occurred before.\u201d<\/p>\n

Cecile Janssens, DNA tells great stories\u2014about the past, not future<\/a>, <\/em>WIRED, December 5, 2013<\/p>\n<\/div>\n

\"Muin<\/a><\/p>\n

Risk prediction is the basis for decision-making in both clinical medicine and public health. It addresses such questions as, \u201cHow likely is my patient to have a heart attack?\u201d or \u201cHow many people are in the highest risk category for heart attack?\u201d Thus, research in both clinical and population-based epidemiology focuses extensively on estimating and predicting risk.<\/p>\n

The Human Genome Project promised from the beginning that genomics would improve health risk prediction in individuals and populations (Collins, 1999<\/a>); however, the risk models of classical genetics proved to be generally inapplicable to most common complex diseases like heart disease. Instead of one or a few genetic variants with large effects, genetic association studies revealed small individual effects at multiple genetic loci. These findings prompted the development of polygenic risk scores (PRS) that combined the effects of multiple SNPs<\/a>. Questions about the clinical validity and utility of PRS have generated intensive discussion and at times, controversy. Last month, we lost one of this domain\u2019s leading thinkers and critics, Cecile Janssens, who died after a short illness at age 54.<\/p>\n

Cecile entered the field as a young researcher with a unique perspective, having studied risk perception for her PhD in psychology at Erasmus University, Rotterdam. After she critiqued an early CDC-authored article on risk prediction (by one of us, MJK) in a letter to the editor, we invited her to CDC for a six-month stint as a visiting researcher in 2005 (read how it happened<\/a>). She later called this \u201ca golden move\u201d because it raised her professional profile and led to her first grant funding. In 2012, she returned to Atlanta to join the Department of Epidemiology at Emory University\u2019s Rollins School of Public Health (RSPH).<\/p>\n

In the following years, Cecile became an internationally recognized expert on genomics in risk prediction and continued to work with OGPPH on many key projects, including the evaluation of genomic tests (EGAPP<\/a>) and recommendations for strengthening the reporting of genetic risk prediction studies (GRIPS). She took the lead on the GRIPS statement<\/a>, which in 2011 was published simultaneously in nine scientific journals, including PLoS Medicine, BMJ, and the Journal of Clinical Investigation. In all, her more than 200 scientific publications<\/a> have been cited more than 20,000 times.<\/p>\n

No ivory tower dweller herself, Cecile enjoyed engaging with professional colleagues, students, and the public. She was an exciting speaker and a gifted teacher who helped students develop critical thinking skills. She created a popular course at RSPH, Critical Thinking: Science Behind the News<\/em>, that used news stories about epidemiologic studies as the starting point for evaluating scientific claims. This course was the basis for a book she had nearly finished writing at the time of her death. She was a regular columnist for the Dutch newspaper NRC<\/em>, in which she shared more personal perspectives, and an active presence on Twitter, engaging with all who shared her interests in \u201ccritical thinking, evidence, and lack thereof.\u201d<\/p>\n

One of Cecile\u2019s best-known lectures on risk prediction presented the why-because analysis<\/a> of a maritime disaster\u2014the 1987 capsize of a Belgian ferry, Herald of Free Enterprise<\/em>\u2014to illustrate the difficulty of understanding complex causes. She drew an analogy to the effects of genetic variation, overwhelmingly complex and yet only one aspect of the interrelated, dynamic processes that lead to human disease. We don\u2019t know why leukemia came now to take Cecile away from her family, community, and colleagues but we at the CDC Office of Genomics and Precision Public Health will always remember her not only as a valued scientific colleague but as a good friend. Among the many tributes on Cecile\u2019s Twitter<\/a>, one captured her qualities most concisely: \u201cclear thinking, compelling communication, and passion for what she did.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

\u201cThe number of possible \u2018causal\u2019 [gene-environment] interactions is so enormous that every patient’s disease likely has its own complex and unique cause. This uniqueness limits predictive ability: it is impossible to accurately predict something that has never occurred before.\u201d Cecile Janssens, DNA tells great stories\u2014about the past, not future, WIRED, December 5, 2013 Risk prediction<\/p>\n","protected":false},"author":122,"featured_media":6435,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5236],"tags":[59078,62416],"_links":{"self":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts\/6433"}],"collection":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/users\/122"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/comments?post=6433"}],"version-history":[{"count":17,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts\/6433\/revisions"}],"predecessor-version":[{"id":6489,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/posts\/6433\/revisions\/6489"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/media\/6435"}],"wp:attachment":[{"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/media?parent=6433"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/categories?post=6433"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.cdc.gov\/genomics\/wp-json\/wp\/v2\/tags?post=6433"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}