Title |
CDC Grand Rounds: Family History and Genomics as Tools for Cancer Prevention and Control.
|
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Published in |
MMWR: Morbidity & Mortality Weekly Report, November 2016
|
DOI | 10.15585/mmwr.mm6546a3 |
Pubmed ID | |
Authors |
Juan L Rodriguez, Cheryll C Thomas, Greta M Massetti, Debra Duquette, Lindsay Avner, John Iskander, Muin J Khoury, Lisa C Richardson |
Abstract |
Although many efforts in cancer prevention and control have routinely focused on behavioral risk factors, such as tobacco use, or on the early detection of cancer, such as colorectal cancer screening, advances in genetic testing have created new opportunities for cancer prevention through evaluation of family history and identification of cancer-causing inherited mutations. Through the collection and evaluation of a family cancer history by a trained health care provider, patients and families at increased risk for a hereditary cancer syndrome can be identified, referred for genetic counseling and testing, and make informed decisions about options for cancer risk reduction (1). Although hereditary cancers make up a small proportion of all cancers, the number of affected persons can be large, and the level of risk among affected persons is high. Two hereditary cancer syndromes for which public health professionals have worked to reduce the burden of morbidity and mortality are hereditary breast and ovarian cancer syndrome (HBOC) and Lynch syndrome. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 44% |
Canada | 2 | 5% |
Spain | 1 | 2% |
Switzerland | 1 | 2% |
United Kingdom | 1 | 2% |
Japan | 1 | 2% |
Italy | 1 | 2% |
Unknown | 17 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 35 | 81% |
Practitioners (doctors, other healthcare professionals) | 4 | 9% |
Scientists | 4 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 16% |
Student > Doctoral Student | 6 | 13% |
Student > Bachelor | 5 | 11% |
Student > Ph. D. Student | 4 | 9% |
Other | 2 | 4% |
Other | 4 | 9% |
Unknown | 17 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 27% |
Biochemistry, Genetics and Molecular Biology | 6 | 13% |
Nursing and Health Professions | 5 | 11% |
Agricultural and Biological Sciences | 2 | 4% |
Computer Science | 1 | 2% |
Other | 3 | 7% |
Unknown | 16 | 36% |