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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the American Academy of Dermatology 2019-08, Vol.81 (2), p.386-394
Hauptverfasser: 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.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 394
container_issue 2
container_start_page 386
container_title Journal of the American Academy of Dermatology
container_volume 81
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
fullrecord <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_swepub_ki_se_482164</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0190962219301902</els_id><sourcerecordid>2200785221</sourcerecordid><originalsourceid>FETCH-LOGICAL-c562t-d0d79e018d458faa7da8df14537bb67855a28ea638c029f2244a9ce88dd19cd93</originalsourceid><addsrcrecordid>eNp9kk1v1DAQhiMEokvhD3BAOXJJGNtJbEsIqdoubcXyIVTOlmM7Wy9JvNhJUf99Z7VLRQ9wsD0ev_P4682y1wRKAqR5ty23WtuSApElkBK4fJItCEheNFzwp9kCF6CQDaUn2YuUtgAgK8afZycMOCOEwyK7WaXJD3ry4yZfnn_6Qs_yYZ5wHsbc6Bi9i_kuhla3vvfTXa6HgMpNj5k-7_SAWQwG1-sxDBpLkkv5nPa4CzeGz6v1t--r86vl9cvsWaf75F4dx9Psx8fV9fKyWH-9uFqerQtTN3QqLFguHRBhq1p0WnOrhe1IVTPetnitutZUON0wYYDKjtKq0tI4Iawl0ljJTrPiwE2_3W5u1S7i9eKdCtqrY-onRk5VgpKmQv36n_p-3mFrse0LCBhCWQuqo6xRVdt1SguGU-yErmVFOUXchwMOWYOzxo1T1P0j6uOV0d-oTbhVTcMqKRsEvD0CYvg1uzSpwSfjenxgF-akKAXAZ6CUoJQepCaGlKLrHrYhoPYOUVu1d4jaO0QBUegQLHrz9wEfSv5YAgXvDwKHv3SL_6-S8W40zvrozKRs8P_j3wMTms3h</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2200785221</pqid></control><display><type>article</type><title>Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><source>SWEPUB Freely available online</source><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.</creator><creatorcontrib>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. ; GenoMEL Study Group</creatorcontrib><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 &lt; .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 &lt; .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. Timothy</creator><creator>Bressac-de Paillerets, Brigitte</creator><creator>Bruno, William</creator><creator>Calista, Donato</creator><creator>Cuellar, Francisco</creator><creator>Cust, Anne E.</creator><creator>Demenais, Florence</creator><creator>Elder, David E.</creator><creator>Gerdes, Anne-Marie</creator><creator>Ghiorzo, Paola</creator><creator>Goldstein, Alisa M.</creator><creator>Grazziotin, Thais C.</creator><creator>Gruis, Nelleke A.</creator><creator>Hansson, Johan</creator><creator>Harland, Mark</creator><creator>Hayward, Nicholas K.</creator><creator>Hocevar, Marko</creator><creator>Höiom, Veronica</creator><creator>Holland, Elizabeth A.</creator><creator>Ingvar, Christian</creator><creator>Landi, Maria Teresa</creator><creator>Landman, Gilles</creator><creator>Larre-Borges, Alejandra</creator><creator>Mann, Graham J.</creator><creator>Nagore, Eduardo</creator><creator>Olsson, Håkan</creator><creator>Palmer, Jane M.</creator><creator>Perić, Barbara</creator><creator>Pjanova, Dace</creator><creator>Pritchard, Antonia L.</creator><creator>Puig, Susana</creator><creator>Schmid, Helen</creator><creator>van der Stoep, Nienke</creator><creator>Tucker, Margaret A.</creator><creator>Wadt, Karin A.W.</creator><creator>Yang, Xiaohong R.</creator><creator>Newton-Bishop, Julia A.</creator><creator>Kanetsky, Peter A.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D95</scope><scope>D8T</scope><scope>ZZAVC</scope></search><sort><creationdate>20190801</creationdate><title>Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT</title><author>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.</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 &lt; .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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T06%3A59%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20CDKN2A%20mutation%20carrier%20probability%20among%20global%20familial%20melanoma%20cases%20using%20GenoMELPREDICT&rft.jtitle=Journal%20of%20the%20American%20Academy%20of%20Dermatology&rft.au=Taylor,%20Nicholas%20J.&rft.aucorp=GenoMEL%20Study%20Group&rft.date=2019-08-01&rft.volume=81&rft.issue=2&rft.spage=386&rft.epage=394&rft.pages=386-394&rft.issn=0190-9622&rft.eissn=1097-6787&rft_id=info:doi/10.1016/j.jaad.2019.01.079&rft_dat=%3Cproquest_swepu%3E2200785221%3C/proquest_swepu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2200785221&rft_id=info:pmid/30731170&rft_els_id=S0190962219301902&rfr_iscdi=true