Title |
UK consensus recommendations for clinical management of cancer risk for women with germline pathogenic variants in cancer predisposition genes: RAD51C, RAD51D, BRIP1 and PALB2
|
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Published in |
Journal of Medical Genetics, November 2022
|
DOI | 10.1136/jmg-2022-108898 |
Pubmed ID | |
Authors |
Helen Hanson, Anjana Kulkarni, Lucy Loong, Grace Kavanaugh, Bethany Torr, Sophie Allen, Munaza Ahmed, Antonis C Antoniou, Ruth Cleaver, Tabib Dabir, D Gareth Evans, Ellen Golightly, Rosalyn Jewell, Kelly Kohut, Ranjit Manchanda, Alex Murray, Jennie Murray, Kai-Ren Ong, Adam N Rosenthal, Emma Roisin Woodward, Diana M Eccles, Clare Turnbull, Marc Tischkowitz, On behalf of Consensus meeting attendees, Fiona Lalloo, On behalf of Consensus meeting attendees, Julian Barwell, Cheryl Berlin, Helen Bolton, Angela Brady, Karen Cadoo, Helena Carley, Oonagh Claber, Jackie Cook, Ellen Copson, Rosemarie Davidson, Alan Donaldson, Miranda Durkie, Angela George, Sadaf Ghaem-Maghami, Rachael Mein, Stephanie Greville-Heygate, David Goudie, Sarah Hamilton, Rachel Harrison, Lara Hawkes, Kate Henwood, Debby Holloway, Tracey Irvine, Rema Iyer, Atiyah Kamran, Zoe Kemp, Zosia Miedzybrodzka, Terri McVeigh, Selina Moss Davies, Hannah Musgrave, Sian Nisbet, Paul Pharoah, Marie-Claire Platt, Imran Rafi, Gillian Rea, Sukhwinder Sahota, Aarti Sharma, Lucy Side, Katherine Smith, Katie Snape, Hooman Soleymani majd, Bev Speight, Anil Tailor, William Teh, Karin Williamson |
X Demographics
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Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 15% |
Ireland | 1 | 4% |
United States | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 19 | 73% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 50% |
Scientists | 7 | 27% |
Practitioners (doctors, other healthcare professionals) | 6 | 23% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 11% |
Other | 3 | 8% |
Student > Postgraduate | 2 | 6% |
Student > Master | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 5 | 14% |
Unknown | 18 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 33% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Unspecified | 1 | 3% |
Computer Science | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 0 | 0% |
Unknown | 17 | 47% |