Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT
Although rare in the general population, highly penetrant germline mutations in CDKN2A are responsible for 5%-40% of melanoma cases reported in melanoma-prone families. We sought to determine whether MELPREDICT was generalizable to a global series of families with melanoma and whether performance im...
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Veröffentlicht in: | Journal of the American Academy of Dermatology 2019-08, Vol.81 (2), p.386-394 |
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creator | Taylor, Nicholas J. Mitra, Nandita Qian, Lu Avril, Marie-Françoise Bishop, D. Timothy Bressac-de Paillerets, Brigitte Bruno, William Calista, Donato Cuellar, Francisco Cust, Anne E. Demenais, Florence Elder, David E. Gerdes, Anne-Marie Ghiorzo, Paola Goldstein, Alisa M. Grazziotin, Thais C. Gruis, Nelleke A. Hansson, Johan Harland, Mark Hayward, Nicholas K. Hocevar, Marko Höiom, Veronica Holland, Elizabeth A. Ingvar, Christian Landi, Maria Teresa Landman, Gilles Larre-Borges, Alejandra Mann, Graham J. Nagore, Eduardo Olsson, Håkan Palmer, Jane M. Perić, Barbara Pjanova, Dace Pritchard, Antonia L. Puig, Susana Schmid, Helen van der Stoep, Nienke Tucker, Margaret A. Wadt, Karin A.W. Yang, Xiaohong R. Newton-Bishop, Julia A. Kanetsky, Peter A. |
description | Although rare in the general population, highly penetrant germline mutations in CDKN2A are responsible for 5%-40% of melanoma cases reported in melanoma-prone families. We sought to determine whether MELPREDICT was generalizable to a global series of families with melanoma and whether performance improvements can be achieved.
In total, 2116 familial melanoma cases were ascertained by the international GenoMEL Consortium. We recapitulated the MELPREDICT model within our data (GenoMELPREDICT) to assess performance improvements by adding phenotypic risk factors and history of pancreatic cancer. We report areas under the curve (AUC) with 95% confidence intervals (CIs) along with net reclassification indices (NRIs) as performance metrics.
MELPREDICT performed well (AUC 0.752, 95% CI 0.730-0.775), and GenoMELPREDICT performance was similar (AUC 0.748, 95% CI 0.726-0.771). Adding a reported history of pancreatic cancer yielded discriminatory improvement (P |
doi_str_mv | 10.1016/j.jaad.2019.01.079 |
format | Article |
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In total, 2116 familial melanoma cases were ascertained by the international GenoMEL Consortium. We recapitulated the MELPREDICT model within our data (GenoMELPREDICT) to assess performance improvements by adding phenotypic risk factors and history of pancreatic cancer. We report areas under the curve (AUC) with 95% confidence intervals (CIs) along with net reclassification indices (NRIs) as performance metrics.
MELPREDICT performed well (AUC 0.752, 95% CI 0.730-0.775), and GenoMELPREDICT performance was similar (AUC 0.748, 95% CI 0.726-0.771). Adding a reported history of pancreatic cancer yielded discriminatory improvement (P < .0001) in GenoMELPREDICT (AUC 0.772, 95% CI 0.750-0.793, NRI 0.40). Including phenotypic risk factors did not improve performance.
The MELPREDICT model functioned well in a global data set of familial melanoma cases. Adding pancreatic cancer history improved model prediction. GenoMELPREDICT is a simple tool for predicting CDKN2A mutational status among melanoma patients from melanoma-prone families and can aid in directing these patients to receive genetic testing or cancer risk counseling.</description><identifier>ISSN: 0190-9622</identifier><identifier>ISSN: 1097-6787</identifier><identifier>EISSN: 1097-6787</identifier><identifier>DOI: 10.1016/j.jaad.2019.01.079</identifier><identifier>PMID: 30731170</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Area Under Curve ; Cancer and Oncology ; Cancer och onkologi ; CDKN2A ; Child ; Clinical Medicine ; Cyclin-Dependent Kinase Inhibitor p16 - genetics ; familial melanoma ; Genetic Predisposition to Disease ; Genetic Testing ; GenoMEL ; GenoMELPREDICT ; Germ-Line Mutation ; Heterozygote ; Humans ; Internationality ; Klinisk medicin ; Logistic Models ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Melanoma - genetics ; Middle Aged ; mutation prediction ; Pancreatic Neoplasms - epidemiology ; Pancreatic Neoplasms - genetics ; Phenotype ; Predictive Value of Tests ; Probability ; Risk Factors ; ROC Curve ; Skin Neoplasms - genetics ; Young Adult</subject><ispartof>Journal of the American Academy of Dermatology, 2019-08, Vol.81 (2), p.386-394</ispartof><rights>2019 American Academy of Dermatology, Inc.</rights><rights>Copyright © 2019 American Academy of Dermatology, Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c562t-d0d79e018d458faa7da8df14537bb67855a28ea638c029f2244a9ce88dd19cd93</citedby><cites>FETCH-LOGICAL-c562t-d0d79e018d458faa7da8df14537bb67855a28ea638c029f2244a9ce88dd19cd93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0190962219301902$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,550,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30731170$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://lup.lub.lu.se/record/10c123b0-f236-4bff-a830-f8308a594272$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:141363295$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Taylor, Nicholas J.</creatorcontrib><creatorcontrib>Mitra, Nandita</creatorcontrib><creatorcontrib>Qian, Lu</creatorcontrib><creatorcontrib>Avril, Marie-Françoise</creatorcontrib><creatorcontrib>Bishop, D. Timothy</creatorcontrib><creatorcontrib>Bressac-de Paillerets, Brigitte</creatorcontrib><creatorcontrib>Bruno, William</creatorcontrib><creatorcontrib>Calista, Donato</creatorcontrib><creatorcontrib>Cuellar, Francisco</creatorcontrib><creatorcontrib>Cust, Anne E.</creatorcontrib><creatorcontrib>Demenais, Florence</creatorcontrib><creatorcontrib>Elder, David E.</creatorcontrib><creatorcontrib>Gerdes, Anne-Marie</creatorcontrib><creatorcontrib>Ghiorzo, Paola</creatorcontrib><creatorcontrib>Goldstein, Alisa M.</creatorcontrib><creatorcontrib>Grazziotin, Thais C.</creatorcontrib><creatorcontrib>Gruis, Nelleke A.</creatorcontrib><creatorcontrib>Hansson, Johan</creatorcontrib><creatorcontrib>Harland, Mark</creatorcontrib><creatorcontrib>Hayward, Nicholas K.</creatorcontrib><creatorcontrib>Hocevar, Marko</creatorcontrib><creatorcontrib>Höiom, Veronica</creatorcontrib><creatorcontrib>Holland, Elizabeth A.</creatorcontrib><creatorcontrib>Ingvar, Christian</creatorcontrib><creatorcontrib>Landi, Maria Teresa</creatorcontrib><creatorcontrib>Landman, Gilles</creatorcontrib><creatorcontrib>Larre-Borges, Alejandra</creatorcontrib><creatorcontrib>Mann, Graham J.</creatorcontrib><creatorcontrib>Nagore, Eduardo</creatorcontrib><creatorcontrib>Olsson, Håkan</creatorcontrib><creatorcontrib>Palmer, Jane M.</creatorcontrib><creatorcontrib>Perić, Barbara</creatorcontrib><creatorcontrib>Pjanova, Dace</creatorcontrib><creatorcontrib>Pritchard, Antonia L.</creatorcontrib><creatorcontrib>Puig, Susana</creatorcontrib><creatorcontrib>Schmid, Helen</creatorcontrib><creatorcontrib>van der Stoep, Nienke</creatorcontrib><creatorcontrib>Tucker, Margaret A.</creatorcontrib><creatorcontrib>Wadt, Karin A.W.</creatorcontrib><creatorcontrib>Yang, Xiaohong R.</creatorcontrib><creatorcontrib>Newton-Bishop, Julia A.</creatorcontrib><creatorcontrib>Kanetsky, Peter A.</creatorcontrib><creatorcontrib>GenoMEL Study Group</creatorcontrib><title>Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT</title><title>Journal of the American Academy of Dermatology</title><addtitle>J Am Acad Dermatol</addtitle><description>Although rare in the general population, highly penetrant germline mutations in CDKN2A are responsible for 5%-40% of melanoma cases reported in melanoma-prone families. We sought to determine whether MELPREDICT was generalizable to a global series of families with melanoma and whether performance improvements can be achieved.
In total, 2116 familial melanoma cases were ascertained by the international GenoMEL Consortium. We recapitulated the MELPREDICT model within our data (GenoMELPREDICT) to assess performance improvements by adding phenotypic risk factors and history of pancreatic cancer. We report areas under the curve (AUC) with 95% confidence intervals (CIs) along with net reclassification indices (NRIs) as performance metrics.
MELPREDICT performed well (AUC 0.752, 95% CI 0.730-0.775), and GenoMELPREDICT performance was similar (AUC 0.748, 95% CI 0.726-0.771). Adding a reported history of pancreatic cancer yielded discriminatory improvement (P < .0001) in GenoMELPREDICT (AUC 0.772, 95% CI 0.750-0.793, NRI 0.40). Including phenotypic risk factors did not improve performance.
The MELPREDICT model functioned well in a global data set of familial melanoma cases. Adding pancreatic cancer history improved model prediction. GenoMELPREDICT is a simple tool for predicting CDKN2A mutational status among melanoma patients from melanoma-prone families and can aid in directing these patients to receive genetic testing or cancer risk counseling.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Area Under Curve</subject><subject>Cancer and Oncology</subject><subject>Cancer och onkologi</subject><subject>CDKN2A</subject><subject>Child</subject><subject>Clinical Medicine</subject><subject>Cyclin-Dependent Kinase Inhibitor p16 - genetics</subject><subject>familial melanoma</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic Testing</subject><subject>GenoMEL</subject><subject>GenoMELPREDICT</subject><subject>Germ-Line Mutation</subject><subject>Heterozygote</subject><subject>Humans</subject><subject>Internationality</subject><subject>Klinisk medicin</subject><subject>Logistic Models</subject><subject>Medical and Health Sciences</subject><subject>Medicin och hälsovetenskap</subject><subject>Melanoma - genetics</subject><subject>Middle Aged</subject><subject>mutation prediction</subject><subject>Pancreatic Neoplasms - epidemiology</subject><subject>Pancreatic Neoplasms - genetics</subject><subject>Phenotype</subject><subject>Predictive Value of Tests</subject><subject>Probability</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Skin Neoplasms - genetics</subject><subject>Young Adult</subject><issn>0190-9622</issn><issn>1097-6787</issn><issn>1097-6787</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNp9kk1v1DAQhiMEokvhD3BAOXJJGNtJbEsIqdoubcXyIVTOlmM7Wy9JvNhJUf99Z7VLRQ9wsD0ev_P4682y1wRKAqR5ty23WtuSApElkBK4fJItCEheNFzwp9kCF6CQDaUn2YuUtgAgK8afZycMOCOEwyK7WaXJD3ry4yZfnn_6Qs_yYZ5wHsbc6Bi9i_kuhla3vvfTXa6HgMpNj5k-7_SAWQwG1-sxDBpLkkv5nPa4CzeGz6v1t--r86vl9cvsWaf75F4dx9Psx8fV9fKyWH-9uFqerQtTN3QqLFguHRBhq1p0WnOrhe1IVTPetnitutZUON0wYYDKjtKq0tI4Iawl0ljJTrPiwE2_3W5u1S7i9eKdCtqrY-onRk5VgpKmQv36n_p-3mFrse0LCBhCWQuqo6xRVdt1SguGU-yErmVFOUXchwMOWYOzxo1T1P0j6uOV0d-oTbhVTcMqKRsEvD0CYvg1uzSpwSfjenxgF-akKAXAZ6CUoJQepCaGlKLrHrYhoPYOUVu1d4jaO0QBUegQLHrz9wEfSv5YAgXvDwKHv3SL_6-S8W40zvrozKRs8P_j3wMTms3h</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Taylor, Nicholas J.</creator><creator>Mitra, Nandita</creator><creator>Qian, Lu</creator><creator>Avril, Marie-Françoise</creator><creator>Bishop, D. 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Timothy ; Bressac-de Paillerets, Brigitte ; Bruno, William ; Calista, Donato ; Cuellar, Francisco ; Cust, Anne E. ; Demenais, Florence ; Elder, David E. ; Gerdes, Anne-Marie ; Ghiorzo, Paola ; Goldstein, Alisa M. ; Grazziotin, Thais C. ; Gruis, Nelleke A. ; Hansson, Johan ; Harland, Mark ; Hayward, Nicholas K. ; Hocevar, Marko ; Höiom, Veronica ; Holland, Elizabeth A. ; Ingvar, Christian ; Landi, Maria Teresa ; Landman, Gilles ; Larre-Borges, Alejandra ; Mann, Graham J. ; Nagore, Eduardo ; Olsson, Håkan ; Palmer, Jane M. ; Perić, Barbara ; Pjanova, Dace ; Pritchard, Antonia L. ; Puig, Susana ; Schmid, Helen ; van der Stoep, Nienke ; Tucker, Margaret A. ; Wadt, Karin A.W. ; Yang, Xiaohong R. ; Newton-Bishop, Julia A. ; Kanetsky, Peter A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c562t-d0d79e018d458faa7da8df14537bb67855a28ea638c029f2244a9ce88dd19cd93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Cancer and Oncology</topic><topic>Cancer och onkologi</topic><topic>CDKN2A</topic><topic>Child</topic><topic>Clinical Medicine</topic><topic>Cyclin-Dependent Kinase Inhibitor p16 - genetics</topic><topic>familial melanoma</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetic Testing</topic><topic>GenoMEL</topic><topic>GenoMELPREDICT</topic><topic>Germ-Line Mutation</topic><topic>Heterozygote</topic><topic>Humans</topic><topic>Internationality</topic><topic>Klinisk medicin</topic><topic>Logistic Models</topic><topic>Medical and Health Sciences</topic><topic>Medicin och hälsovetenskap</topic><topic>Melanoma - genetics</topic><topic>Middle Aged</topic><topic>mutation prediction</topic><topic>Pancreatic Neoplasms - epidemiology</topic><topic>Pancreatic Neoplasms - genetics</topic><topic>Phenotype</topic><topic>Predictive Value of Tests</topic><topic>Probability</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Skin Neoplasms - genetics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Taylor, Nicholas J.</creatorcontrib><creatorcontrib>Mitra, Nandita</creatorcontrib><creatorcontrib>Qian, Lu</creatorcontrib><creatorcontrib>Avril, Marie-Françoise</creatorcontrib><creatorcontrib>Bishop, D. Timothy</creatorcontrib><creatorcontrib>Bressac-de Paillerets, Brigitte</creatorcontrib><creatorcontrib>Bruno, William</creatorcontrib><creatorcontrib>Calista, Donato</creatorcontrib><creatorcontrib>Cuellar, Francisco</creatorcontrib><creatorcontrib>Cust, Anne E.</creatorcontrib><creatorcontrib>Demenais, Florence</creatorcontrib><creatorcontrib>Elder, David E.</creatorcontrib><creatorcontrib>Gerdes, Anne-Marie</creatorcontrib><creatorcontrib>Ghiorzo, Paola</creatorcontrib><creatorcontrib>Goldstein, Alisa M.</creatorcontrib><creatorcontrib>Grazziotin, Thais C.</creatorcontrib><creatorcontrib>Gruis, Nelleke A.</creatorcontrib><creatorcontrib>Hansson, Johan</creatorcontrib><creatorcontrib>Harland, Mark</creatorcontrib><creatorcontrib>Hayward, Nicholas K.</creatorcontrib><creatorcontrib>Hocevar, Marko</creatorcontrib><creatorcontrib>Höiom, Veronica</creatorcontrib><creatorcontrib>Holland, Elizabeth A.</creatorcontrib><creatorcontrib>Ingvar, Christian</creatorcontrib><creatorcontrib>Landi, Maria Teresa</creatorcontrib><creatorcontrib>Landman, Gilles</creatorcontrib><creatorcontrib>Larre-Borges, Alejandra</creatorcontrib><creatorcontrib>Mann, Graham J.</creatorcontrib><creatorcontrib>Nagore, Eduardo</creatorcontrib><creatorcontrib>Olsson, Håkan</creatorcontrib><creatorcontrib>Palmer, Jane M.</creatorcontrib><creatorcontrib>Perić, Barbara</creatorcontrib><creatorcontrib>Pjanova, Dace</creatorcontrib><creatorcontrib>Pritchard, Antonia L.</creatorcontrib><creatorcontrib>Puig, Susana</creatorcontrib><creatorcontrib>Schmid, Helen</creatorcontrib><creatorcontrib>van der Stoep, Nienke</creatorcontrib><creatorcontrib>Tucker, Margaret A.</creatorcontrib><creatorcontrib>Wadt, Karin A.W.</creatorcontrib><creatorcontrib>Yang, Xiaohong R.</creatorcontrib><creatorcontrib>Newton-Bishop, Julia A.</creatorcontrib><creatorcontrib>Kanetsky, Peter A.</creatorcontrib><creatorcontrib>GenoMEL Study Group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Lunds universitet</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Journal of the American Academy of Dermatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Taylor, Nicholas J.</au><au>Mitra, Nandita</au><au>Qian, Lu</au><au>Avril, Marie-Françoise</au><au>Bishop, D. Timothy</au><au>Bressac-de Paillerets, Brigitte</au><au>Bruno, William</au><au>Calista, Donato</au><au>Cuellar, Francisco</au><au>Cust, Anne E.</au><au>Demenais, Florence</au><au>Elder, David E.</au><au>Gerdes, Anne-Marie</au><au>Ghiorzo, Paola</au><au>Goldstein, Alisa M.</au><au>Grazziotin, Thais C.</au><au>Gruis, Nelleke A.</au><au>Hansson, Johan</au><au>Harland, Mark</au><au>Hayward, Nicholas K.</au><au>Hocevar, Marko</au><au>Höiom, Veronica</au><au>Holland, Elizabeth A.</au><au>Ingvar, Christian</au><au>Landi, Maria Teresa</au><au>Landman, Gilles</au><au>Larre-Borges, Alejandra</au><au>Mann, Graham J.</au><au>Nagore, Eduardo</au><au>Olsson, Håkan</au><au>Palmer, Jane M.</au><au>Perić, Barbara</au><au>Pjanova, Dace</au><au>Pritchard, Antonia L.</au><au>Puig, Susana</au><au>Schmid, Helen</au><au>van der Stoep, Nienke</au><au>Tucker, Margaret A.</au><au>Wadt, Karin A.W.</au><au>Yang, Xiaohong R.</au><au>Newton-Bishop, Julia A.</au><au>Kanetsky, Peter A.</au><aucorp>GenoMEL Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT</atitle><jtitle>Journal of the American Academy of Dermatology</jtitle><addtitle>J Am Acad Dermatol</addtitle><date>2019-08-01</date><risdate>2019</risdate><volume>81</volume><issue>2</issue><spage>386</spage><epage>394</epage><pages>386-394</pages><issn>0190-9622</issn><issn>1097-6787</issn><eissn>1097-6787</eissn><abstract>Although rare in the general population, highly penetrant germline mutations in CDKN2A are responsible for 5%-40% of melanoma cases reported in melanoma-prone families. We sought to determine whether MELPREDICT was generalizable to a global series of families with melanoma and whether performance improvements can be achieved.
In total, 2116 familial melanoma cases were ascertained by the international GenoMEL Consortium. We recapitulated the MELPREDICT model within our data (GenoMELPREDICT) to assess performance improvements by adding phenotypic risk factors and history of pancreatic cancer. We report areas under the curve (AUC) with 95% confidence intervals (CIs) along with net reclassification indices (NRIs) as performance metrics.
MELPREDICT performed well (AUC 0.752, 95% CI 0.730-0.775), and GenoMELPREDICT performance was similar (AUC 0.748, 95% CI 0.726-0.771). Adding a reported history of pancreatic cancer yielded discriminatory improvement (P < .0001) in GenoMELPREDICT (AUC 0.772, 95% CI 0.750-0.793, NRI 0.40). Including phenotypic risk factors did not improve performance.
The MELPREDICT model functioned well in a global data set of familial melanoma cases. Adding pancreatic cancer history improved model prediction. GenoMELPREDICT is a simple tool for predicting CDKN2A mutational status among melanoma patients from melanoma-prone families and can aid in directing these patients to receive genetic testing or cancer risk counseling.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30731170</pmid><doi>10.1016/j.jaad.2019.01.079</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0190-9622 |
ispartof | Journal of the American Academy of Dermatology, 2019-08, Vol.81 (2), p.386-394 |
issn | 0190-9622 1097-6787 1097-6787 |
language | eng |
recordid | cdi_swepub_primary_oai_swepub_ki_se_482164 |
source | MEDLINE; Elsevier ScienceDirect Journals; SWEPUB Freely available online |
subjects | Adolescent Adult Aged Aged, 80 and over Area Under Curve Cancer and Oncology Cancer och onkologi CDKN2A Child Clinical Medicine Cyclin-Dependent Kinase Inhibitor p16 - genetics familial melanoma Genetic Predisposition to Disease Genetic Testing GenoMEL GenoMELPREDICT Germ-Line Mutation Heterozygote Humans Internationality Klinisk medicin Logistic Models Medical and Health Sciences Medicin och hälsovetenskap Melanoma - genetics Middle Aged mutation prediction Pancreatic Neoplasms - epidemiology Pancreatic Neoplasms - genetics Phenotype Predictive Value of Tests Probability Risk Factors ROC Curve Skin Neoplasms - genetics Young Adult |
title | Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT |
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