237 results on '"Law, Matthew H."'
Search Results
2. Genetic Analysis of Perceived Youthfulness Reveals Differences in How Men's and Women’s Age Is Assessed
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Ingold, Nathan, Seviiri, Mathias, Ong, Jue-Sheng, Gordon, Scott, Neale, Rachel E., Whiteman, David C., Olsen, Catherine M., MacGregor, Stuart, and Law, Matthew H.
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- 2024
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3. Genetic variants for smoking behaviour and risk of skin cancer
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Dusingize, Jean Claude, Law, Matthew H., Seviiri, Mathias, Olsen, Catherine M., Pandeya, Nirmala, Landi, Maria Teresa, Iles, Mark M., Neale, Rachel E., Ong, Jue-Sheng, MacGregor, Stuart, and Whiteman, David C.
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- 2023
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4. Uncovering the complex relationship between balding, testosterone and skin cancers in men
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Ong, Jue-Sheng, Seviiri, Mathias, Dusingize, Jean Claude, Wu, Yeda, Han, Xikun, Shi, Jianxin, Olsen, Catherine M., Neale, Rachel E., Thompson, John F., Saw, Robyn P. M., Shannon, Kerwin F., Mann, Graham J., Martin, Nicholas G., Medland, Sarah E., Gordon, Scott D., Scolyer, Richard A., Long, Georgina V., Iles, Mark M., Landi, Maria Teresa, Whiteman, David C., MacGregor, Stuart, and Law, Matthew H.
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- 2023
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5. The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
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Rahmioglu, Nilufer, Mortlock, Sally, Ghiasi, Marzieh, Møller, Peter L., Stefansdottir, Lilja, Galarneau, Geneviève, Turman, Constance, Danning, Rebecca, Law, Matthew H., Sapkota, Yadav, Christofidou, Paraskevi, Skarp, Sini, Giri, Ayush, Banasik, Karina, Krassowski, Michal, Lepamets, Maarja, Marciniak, Błażej, Nõukas, Margit, Perro, Danielle, Sliz, Eeva, Sobalska-Kwapis, Marta, Thorleifsson, Gudmar, Topbas-Selcuki, Nura F., Vitonis, Allison, Westergaard, David, Arnadottir, Ragnheidur, Burgdorf, Kristoffer S., Campbell, Archie, Cheuk, Cecilia S. K., Clementi, Caterina, Cook, James, De Vivo, Immaculata, DiVasta, Amy, Dorien, O., Donoghue, Jacqueline F., Edwards, Todd, Fontanillas, Pierre, Fung, Jenny N., Geirsson, Reynir T., Girling, Jane E., Harkki, Paivi, Harris, Holly R., Healey, Martin, Heikinheimo, Oskari, Holdsworth-Carson, Sarah, Hostettler, Isabel C., Houlden, Henry, Houshdaran, Sahar, Irwin, Juan C., Jarvelin, Marjo-Riitta, Kamatani, Yoichiro, Kennedy, Stephen H., Kepka, Ewa, Kettunen, Johannes, Kubo, Michiaki, Kulig, Bartosz, Kurra, Venla, Laivuori, Hannele, Laufer, Marc R., Lindgren, Cecilia M., MacGregor, Stuart, Mangino, Massimo, Martin, Nicholas G., Matalliotaki, Charoula, Matalliotakis, Michail, Murray, Alison D., Ndungu, Anne, Nezhat, Camran, Olsen, Catherine M., Opoku-Anane, Jessica, Padmanabhan, Sandosh, Paranjpe, Manish, Peters, Maire, Polak, Grzegorz, Porteous, David J., Rabban, Joseph, Rexrode, Kathyrn M., Romanowicz, Hanna, Saare, Merli, Saavalainen, Liisu, Schork, Andrew J., Sen, Sushmita, Shafrir, Amy L., Siewierska-Górska, Anna, Słomka, Marcin, Smith, Blair H., Smolarz, Beata, Szaflik, Tomasz, Szyłło, Krzysztof, Takahashi, Atsushi, Terry, Kathryn L., Tomassetti, Carla, Treloar, Susan A., Vanhie, Arne, Vincent, Katy, Vo, Kim C., Werring, David J., Zeggini, Eleftheria, Zervou, Maria I., Adachi, Sosuke, Buring, Julie E., Ridker, Paul M., D’Hooghe, Thomas, Goulielmos, George N., Hapangama, Dharani K., Hayward, Caroline, Horne, Andrew W., Low, Siew-Kee, Martikainen, Hannu, Chasman, Daniel I., Rogers, Peter A. W., Saunders, Philippa T., Sirota, Marina, Spector, Tim, Strapagiel, Dominik, Tung, Joyce Y., Whiteman, David C., Giudice, Linda C., Velez-Edwards, Digna R., Uimari, Outi, Kraft, Peter, Salumets, Andres, Nyholt, Dale R., Mägi, Reedik, Stefansson, Kari, Becker, Christian M., Yurttas-Beim, Piraye, Steinthorsdottir, Valgerdur, Nyegaard, Mette, Missmer, Stacey A., Montgomery, Grant W., Morris, Andrew P., and Zondervan, Krina T.
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- 2023
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6. The association between genetically elevated polyunsaturated fatty acids and risk of cancer
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Tintle, Nathan, Rice, Terri, Cheng, Iona, Jenkins, Mark, Gallinger, Steve, Cornish, Alex J., Sud, Amit, Vijayakrishnan, Jayaram, Wrensch, Margaret, Johansson, Mattias, Norman, Aaron D., Klein, Alison, Clay-Gilmour, Alyssa, Franke, Andre, Ardisson Korat, Andres V., Wheeler, Bill, Nilsson, Björn, Smith, Caren, Heng, Chew-Kiat, Song, Ci, Riadi, David, Claus, Elizabeth B., Ellinghaus, Eva, Ostroumova, Evgenia, Hosnijeh, de Vathaire, Florent, Cugliari, Giovanni, Matullo, Giuseppe, Oi-Lin Ng, Irene, Passow, Jeanette E., Foo, Jia Nee, Han, Jiali, Liu, Jianjun, Barnholtz-Sloan, Jill, Schildkraut, Joellen M., Maris, John, Wiemels, Joseph L., Hemminki, Kari, Yang, Keming, Kiemeney, Lambertus A., Wu, Lang, Amundadottir, Laufey, Stern, Marc-Henri, Boutron, Marie-Christine, Iles, Mark Martin, Purdue, Mark P., Stanulla, Martin, Bondy, Melissa, Gaudet, Mia, Mobuchon, Lenha, Camp, Nicola J., Sham, Pak Chung, Guénel, Pascal, Brennan, Paul, Taylor, Philip R., Ostrom, Quinn, Stolzenberg-Solomon, Rachael, Dorajoo, Rajkumar, Houlston, Richard, Jenkins, Robert B., Diskin, Sharon, Berndt, Sonja I., Tsavachidis, Spiridon, Channock, Stephen J., Harrison, Tabitha, Galesloot, Tessel, Gyllensten, Ulf, Joseph, Vijai, Shi, Y., Yang, Wenjian, Lin, Yi, Van Den Eeden, Stephen K., Haycock, Philip C., Borges, Maria Carolina, Burrows, Kimberley, Lemaitre, Rozenn N., Burgess, Stephen, Khankari, Nikhil K., Tsilidis, Konstantinos K., Gaunt, Tom R., Hemani, Gibran, Zheng, Jie, Truong, Therese, Birmann, Brenda M., OMara, Tracy, Spurdle, Amanda B., Iles, Mark M., Law, Matthew H., Slager, Susan L., Saberi Hosnijeh, Fatemeh, Mariosa, Daniela, Cotterchio, Michelle, Cerhan, James R., Peters, Ulrike, Enroth, Stefan, Gharahkhani, Puya, Le Marchand, Loic, Williams, Ann C., Block, Robert C., Amos, Christopher I., Hung, Rayjean J., Zheng, Wei, Gunter, Marc J., Smith, George Davey, Relton, Caroline, and Martin, Richard M.
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- 2023
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7. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts
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Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie-Julie, Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Mutaamba, Maasha, Partanen, Juulia J., Brumpton, Ben M., Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Palta, Priit, Pandit, Anita, Preuss, Michael H., Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Zawistowski, Matthew, Zhong, Xue, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H., Douville, Nicholas J., Finer, Sarah, Fritsche, Lars G., Griffiths, Christopher J., Guo, Yu, Hunt, Karen A., Konuma, Takahiro, Marioni, Riccardo E., Nomdo, Jansonius, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Shortt, Jonathan A., Straub, Peter, Tao, Ran, Vanderwerff, Brett, Barnes, Kathleen C., Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K., Franke, Lude, Gamazon, Eric R., Ganna, Andrea, Gaunt, Tom R., Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Koskela, Jukka T., Lajonchere, Clara, Law, Matthew H., Li, Liming, Lindgren, Cecilia M., Loos, Ruth J.F., MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M., Porteous, David J., Shavit, Jordan A., Snieder, Harold, Trembath, Richard C., Vonk, Judith M., Whiteman, David, Wicks, Stephen J., Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Cox, Nancy J., Geschwind, Daniel H., Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E., Lin, Yen-Feng, Mägi, Reedik, Martin, Hilary C., Medland, Sarah E., Okada, Yukinori, Palotie, Aarno V., Pasaniuc, Bogdan, Sanna, Serena, Smoller, Jordan W., Stefansson, Kari, van Heel, David A., Walters, Robin G., Zöllner, Sebastian, Martin, Alicia R., Willer, Cristen J., Daly, Mark J., Neale, Benjamin M., Lopera, Esteban, Kerminen, Sini, Wu, Kuan-Han, Bhatta, Laxmi, Brumpton, Ben, Deelen, Patrick, Murakami, Yoshinori, Willer, Cristen, and Hirbo, Jibril
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- 2023
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8. Meta-analysis fine-mapping is often miscalibrated at single-variant resolution
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Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J., Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M., Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A., Guare, Lindsay A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Ismail, Said I., Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H., Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M., Al Thani, Asma, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H., Damrauer, Scott M., Douville, Nicholas J., Finer, Sarah, Fritsche, Lars G., Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J., Guo, Yu, Hunt, Karen A., Ioannidis, Alexander, Jansonius, Nomdo M., Konuma, Takahiro, Michael Lee, Ming Ta, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E., Moatamed, Babak, Nava-Aguilar, Marco A., Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A., Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C., Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K., Franke, Lude, Gamazon, Eric R., Ganna, Andrea, Gaunt, Tom R., Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Katsanis, Nicholas, Koskela, Jukka T., Lajonchere, Clara, Law, Matthew H., Li, Liming, Lindgren, Cecilia M., Loos, Ruth J.F., MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M., Porteous, David J., Shavit, Jordan A., Snieder, Harold, Takano, Tomohiro, Trembath, Richard C., Vonk, Judith M., Whiteman, David C., Wicks, Stephen J., Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Bustamante, Carlos D., Cox, Nancy J., Fatumo, Segun, Geschwind, Daniel H., Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E., Lee, Seunggeun, Lin, Yen-Feng, Mbarek, Hamdi, Mägi, Reedik, Martin, Hilary C., Medland, Sarah E., Okada, Yukinori, Palotie, Aarno V., Pasaniuc, Bogdan, Rader, Daniel J., Ritchie, Marylyn D., Sanna, Serena, Smoller, Jordan W., Stefansson, Kari, van Heel, David A., Walters, Robin G., Zöllner, Sebastian, Biobank of the Americas, Biobank Japan Project, BioMe, BioVU, CanPath - Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center for Personalized Medicine, deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, The Qskin Sun and Health Study, Taiwan Biobank, The Hunt Study, Ucla Atlas Community Health Initiative, Uganda Genome Resource, Uk Biobank, Martin, Alicia R., Willer, Cristen J., Daly, Mark J., Neale, Benjamin M., and Elzur, Roy
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- 2022
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9. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
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Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J., Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M., Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A., Guare, Lindsay A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Ismail, Said I., Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H., Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M., Al Thani, Asma, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H., Damrauer, Scott M., Douville, Nicholas J., Finer, Sarah, Fritsche, Lars G., Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J., Guo, Yu, Hunt, Karen A., Ioannidis, Alexander, Jansonius, Nomdo M., Konuma, Takahiro, Lee, Ming Ta Michael, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E., Moatamed, Babak, Nava-Aguilar, Marco A., Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A., Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C., Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K., Franke, Lude, Gamazon, Eric R., Ganna, Andrea, Gaunt, Tom R., Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Katsanis, Nicholas, Koskela, Jukka T., Lajonchere, Clara, Law, Matthew H., Li, Liming, Lindgren, Cecilia M., Loos, Ruth J.F., MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M., Porteous, David J., Shavit, Jordan A., Snieder, Harold, Takano, Tomohiro, Trembath, Richard C., Vonk, Judith M., Whiteman, David C., Wicks, Stephen J., Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Bustamante, Carlos D., Cox, Nancy J., Fatumo, Segun, Geschwind, Daniel H., Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E., Lee, Seunggeun, Lin, Yen-Feng, Mbarek, Hamdi, Mägi, Reedik, Martin, Hilary C., Medland, Sarah E., Okada, Yukinori, Palotie, Aarno V., Pasaniuc, Bogdan, Rader, Daniel J., Ritchie, Marylyn D., Sanna, Serena, Smoller, Jordan W., Stefansson, Kari, van Heel, David A., Walters, Robin G., Zöllner, Sebastian, Martin, Alicia R., Willer, Cristen J., Daly, Mark J., and Neale, Benjamin M.
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- 2022
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10. Multi-Trait Genetic Analysis Identifies Autoimmune Loci Associated with Cutaneous Melanoma
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Agee, Michelle, Aslibekyan, Stella, Auton, Adam, Babalola, Elizabeth, Bell, Robert K., Bielenberg, Jessica, Bryc, Katarzyna, Bullis, Emily, Cameron, Briana, Coker, Daniella, Cuellar Partida, Gabriel, Dhamija, Devika, Das, Sayantan, Elson, Sarah L., Filshtein, Teresa, Fletez-Brant, Kipper, Fontanillas, Pierre, Freyman, Will, Gandhi, Pooja M., Heilbron, Karl, Hicks, Barry, Hinds, David A., Huber, Karen E., Jewett, Ethan M., Kleinman, Aaron, Kukar, Katelyn, Lin, Keng-Han, Lowe, Maya, Luff, Marie K., McCreight, Jennifer C., McIntyre, Matthew H., McManus, Kimberly F., Micheletti, Steven J., Moreno, Meghan E., Mountain, Joanna L., Mozaffari, Sahar V., Nandakumar, Priyanka, Noblin, Elizabeth S., O'Connell, Jared, Petrakovitz, Aaron A., Poznik, G. David, Shastri, Anjali J., Shelton, Janie F., Shi, Jingchunzi, Shringarpure, Suyash, Tran, Vinh, Tung, Joyce Y., Wang, Xin, Wang, Wei, Weldon, Catherine H., Wilton, Peter, Liyanage, Upekha E., MacGregor, Stuart, Bishop, D. Timothy, Shi, Jianxin, An, Jiyuan, Ong, Jue Sheng, Han, Xikun, Scolyer, Richard A., Martin, Nicholas G., Medland, Sarah E., Byrne, Enda M., Green, Adèle C., Saw, Robyn P.M., Thompson, John F., Stretch, Jonathan, Spillane, Andrew, Jiang, Yunxuan, Tian, Chao, Gordon, Scott G., Duffy, David L., Olsen, Catherine M., Whiteman, David C., Long, Georgina V., Iles, Mark M., Landi, Maria Teresa, and Law, Matthew H.
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- 2022
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11. Higher polygenic risk for melanoma is associated with improved survival in a high ultraviolet radiation setting
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Seviiri, Mathias, Scolyer, Richard A., Bishop, D. Timothy, Newton-Bishop, Julia A., Iles, Mark M., Lo, Serigne N., Stretch, Johnathan R., Saw, Robyn P. M., Nieweg, Omgo E., Shannon, Kerwin F., Spillane, Andrew J., Gordon, Scott D., Olsen, Catherine M., Whiteman, David C., Landi, Maria Teresa, Thompson, John F., Long, Georgina V., MacGregor, Stuart, and Law, Matthew H.
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- 2022
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12. A multi-phenotype analysis reveals 19 susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinoma
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Seviiri, Mathias, Law, Matthew H., Ong, Jue-Sheng, Gharahkhani, Puya, Fontanillas, Pierre, Olsen, Catherine M., Whiteman, David C., and MacGregor, Stuart
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- 2022
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13. Exploring the Germline Genetics of In Situ and Invasive Cutaneous Melanoma: A Genome-Wide Association Study Meta-Analysis.
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Ingold, Nathan, Seviiri, Mathias, Ong, Jue Sheng, Neale, Rachel E., Pandeya, Nirmala, Whiteman, David C., Olsen, Catherine M., Martin, Nicholas G., Duffy, David L., Khosrotehrani, Kiarash, Hayward, Nicholas, Montgomery, Grant W., MacGregor, Stuart, and Law, Matthew H.
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- 2024
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14. Impact of personal genomic risk information on melanoma prevention behaviors and psychological outcomes: a randomized controlled trial
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Smit, Amelia K., Allen, Martin, Beswick, Brooke, Butow, Phyllis, Dawkins, Hugh, Dobbinson, Suzanne J., Dunlop, Kate L., Espinoza, David, Fenton, Georgina, Kanetsky, Peter A., Keogh, Louise, Kimlin, Michael G., Kirk, Judy, Law, Matthew H., Lo, Serigne, Low, Cynthia, Mann, Graham J., Reyes-Marcelino, Gillian, Morton, Rachael L., Newson, Ainsley J., Savard, Jacqueline, Trevena, Lyndal, Wordsworth, Sarah, and Cust, Anne E.
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- 2021
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15. Polygenic Risk Scores Stratify Keratinocyte Cancer Risk among Solid Organ Transplant Recipients with Chronic Immunosuppression in a High Ultraviolet Radiation Environment
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Seviiri, Mathias, Law, Matthew H., Ong, Jue Sheng, Gharahkhani, Puya, Nyholt, Dale R., Hopkins, Peter, Chambers, Daniel, Campbell, Scott, Isbel, Nicole M., Soyer, H. Peter, Olsen, Catherine M., Ellis, Jonathan J., Whiteman, David C., Green, Adele C., and MacGregor, Stuart
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- 2021
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16. Phenotypic and genotypic risk factors for invasive melanoma by sex and body site.
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Olsen, Catherine M, Pandeya, Nirmala, Neale, Rachel E, Law, Matthew H, and Whiteman, David C
- Abstract
Background Cutaneous melanoma incidence varies consistently across body sites between men and women, but the underlying causes of these differences remain unclear. To date, no prospective studies have examined risk factors for melanoma separately for men and women according to body site. Objectives We aimed to examine the association between identified constitutional, genetic and environmental risk factors for invasive melanoma of different body sites among men and women. Methods We compared the association between constitutional, genetic and environmental risk factors for invasive melanoma on different body sites separately for men and women in a population-based prospective cohort study of 17 774 men and 21 070 women aged between 40 and 69 years who were residents of Queensland, Australia at baseline in 2011. Participants were followed until December 2021. We examined risk factors including hair colour, tanning ability, naevus density and proxies for high cumulative sun exposure, all self-reported at baseline. We also examined polygenic risk score (PRS) derived from summary statistics from a melanoma genome-wide association study meta-analysis. Results During a median 10.4 years of follow-up, 455 men and 331 women developed an incident invasive melanoma; the mean age at diagnosis was lower in women than in men (62.6 vs. 65.0 years). The most common body site was the trunk in men (45.1%), and the upper (36.8%) and lower limbs (27.4%) in women. High naevus density and proxy measures of high cumulative sun exposure were similarly associated with melanoma at all sites in men and women. In both sexes, high genetic risk was associated with melanoma on all body sites except the head and neck. We observed differences between men and women in the association between PRS and melanoma of the trunk [highest vs. lowest tertile of PRS: hazard ratio (HR) 2.78, 95% confidence interval (CI) 1.64–4.69 for men; HR 1.55, 95% CI 0.63–3.80 for women] and nonsignificant but large differences for the lower limbs (HR 5.25, 95% CI 1.80–15.27 for men; HR 1.75, 95% CI 0.88–3.47 for women). Conclusions While there are a number of potential explanations for these findings, this raises the possibility that genetic factors other than those related to pigmentation and naevus phenotypes may play a role in the predilection for melanoma to arise on different sites in men and women. [ABSTRACT FROM AUTHOR]
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- 2024
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17. Polygenic Risk Scores Allow Risk Stratification for Keratinocyte Cancer in Organ-Transplant Recipients
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Seviiri, Mathias, Law, Matthew H., Ong, Jue Sheng, Gharahkhani, Puya, Nyholt, Dale R., Olsen, Catherine M., Whiteman, David C., and MacGregor, Stuart
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- 2021
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18. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility
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Landi, Maria Teresa, Bishop, D. Timothy, MacGregor, Stuart, Machiela, Mitchell J., Stratigos, Alexander J., Ghiorzo, Paola, Brossard, Myriam, Calista, Donato, Choi, Jiyeon, Fargnoli, Maria Concetta, Zhang, Tongwu, Rodolfo, Monica, Trower, Adam J., Menin, Chiara, Martinez, Jacobo, Hadjisavvas, Andreas, Song, Lei, Stefanaki, Irene, Scolyer, Richard, Yang, Rose, Goldstein, Alisa M., Potrony, Miriam, Kypreou, Katerina P., Pastorino, Lorenza, Queirolo, Paola, Pellegrini, Cristina, Cattaneo, Laura, Zawistowski, Matthew, Gimenez-Xavier, Pol, Rodriguez, Arantxa, Elefanti, Lisa, Manoukian, Siranoush, Rivoltini, Licia, Smith, Blair H., Loizidou, Maria A., Del Regno, Laura, Massi, Daniela, Mandala, Mario, Khosrotehrani, Kiarash, Akslen, Lars A., Amos, Christopher I., Andresen, Per A., Avril, Marie-Françoise, Azizi, Esther, Soyer, H. Peter, Bataille, Veronique, Dalmasso, Bruna, Bowdler, Lisa M., Burdon, Kathryn P., Chen, Wei V., Codd, Veryan, Craig, Jamie E., Dębniak, Tadeusz, Falchi, Mario, Fang, Shenying, Friedman, Eitan, Simi, Sarah, Galan, Pilar, Garcia-Casado, Zaida, Gillanders, Elizabeth M., Gordon, Scott, Green, Adele, Gruis, Nelleke A., Hansson, Johan, Harland, Mark, Harris, Jessica, Helsing, Per, Henders, Anjali, Hočevar, Marko, Höiom, Veronica, Hunter, David, Ingvar, Christian, Kumar, Rajiv, Lang, Julie, Lathrop, G. Mark, Lee, Jeffrey E., Li, Xin, Lubiński, Jan, Mackie, Rona M., Malt, Maryrose, Malvehy, Josep, McAloney, Kerrie, Mohamdi, Hamida, Molven, Anders, Moses, Eric K., Neale, Rachel E., Novaković, Srdjan, Nyholt, Dale R., Olsson, Håkan, Orr, Nicholas, Fritsche, Lars G., Puig-Butille, Joan Anton, Qureshi, Abrar A., Radford-Smith, Graham L., Randerson-Moor, Juliette, Requena, Celia, Rowe, Casey, Samani, Nilesh J., Sanna, Marianna, Schadendorf, Dirk, Schulze, Hans-Joachim, Simms, Lisa A., Smithers, Mark, Song, Fengju, Swerdlow, Anthony J., van der Stoep, Nienke, Kukutsch, Nicole A., Visconti, Alessia, Wallace, Leanne, Ward, Sarah V., Wheeler, Lawrie, Sturm, Richard A., Hutchinson, Amy, Jones, Kristine, Malasky, Michael, Vogt, Aurelie, Zhou, Weiyin, Pooley, Karen A., Elder, David E., Han, Jiali, Hicks, Belynda, Hayward, Nicholas K., Kanetsky, Peter A., Brummett, Chad, Montgomery, Grant W., Olsen, Catherine M., Hayward, Caroline, Dunning, Alison M., Martin, Nicholas G., Evangelou, Evangelos, Mann, Graham J., Long, Georgina, Pharoah, Paul D. P., Easton, Douglas F., Barrett, Jennifer H., Cust, Anne E., Abecasis, Goncalo, Duffy, David L., Whiteman, David C., Gogas, Helen, De Nicolo, Arcangela, Tucker, Margaret A., Newton-Bishop, Julia A., Peris, Ketty, Chanock, Stephen J., Demenais, Florence, Brown, Kevin M., Puig, Susana, Nagore, Eduardo, Shi, Jianxin, Iles, Mark M., and Law, Matthew H.
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- 2020
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19. Assessing the Incremental Contribution of Common Genomic Variants to Melanoma Risk Prediction in Two Population-Based Studies
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Mann, Graham J., Cust, Anne E., Schmid, Helen, Hopper, John L., Aitken, Joanne F., Armstrong, Bruce K., Giles, Graham G., Holland, Elizabeth, Kefford, Richard F., Jenkins, Mark A., Newton Bishop, Julia A., Affleck, Paul, Barrett, Jennifer H., Bishop, D. Timothy, Harrison, Jane, Iles, Mark M., Randerson-Moor, Juliette, Harland, Mark, Taylor, John C., Whittaker, Linda, Kukalizch, Kairen, Leake, Susan, Karpavicius, Birute, Haynes, Sue, Mack, Tricia, Chan, May, Taylor, Yvonne, Davies, John, King, Paul, Drummond, Martin, Kanetsky, Peter A., Goldstein, Alisa M., MacGregor, Stuart, Law, Matthew H., Bui, Minh, Brossard, Myriam, Demenais, Florence, Hoggart, Clive, Brown, Kevin M., Landi, Maria Teresa, and Newton-Bishop, Julia A.
- Published
- 2018
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20. Effect of increased body mass index on risk of diagnosis or death from cancer
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Gharahkhani, Puya, Ong, Jue-Sheng, An, Jiyuan, Law, Matthew H., Whiteman, David C., Neale, Rachel E., and MacGregor, Stuart
- Published
- 2019
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21. Genome-Wide Association Shows that Pigmentation Genes Play a Role in Skin Aging
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Law, Matthew H., Medland, Sarah E., Zhu, Gu, Yazar, Seyhan, Viñuela, Ana, Wallace, Leanne, Shekar, Sri Niranjan, Duffy, David L., Bataille, Veronique, Glass, Dan, Spector, Tim D., Wood, Diane, Gordon, Scott D., Barbour, Julie M., Henders, Anjali K., Hewitt, Alex W., Montgomery, Grant W., Sturm, Richard A., Mackey, David A., Green, Adèle C., Martin, Nicholas G., and MacGregor, Stuart
- Published
- 2017
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22. Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma
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Choi, Jiyeon, Zhang, Tongwu, Vu, Andrew, Ablain, Julien, Makowski, Matthew M., Colli, Leandro M., Xu, Mai, Hennessey, Rebecca C., Yin, Jinhu, Rothschild, Harriet, Gräwe, Cathrin, Kovacs, Michael A., Funderburk, Karen M., Brossard, Myriam, Taylor, John, Pasaniuc, Bogdan, Chari, Raj, Chanock, Stephen J., Hoggart, Clive J., Demenais, Florence, Barrett, Jennifer H., Law, Matthew H., Iles, Mark M., Yu, Kai, Vermeulen, Michiel, Zon, Leonard I., and Brown, Kevin M.
- Published
- 2020
- Full Text
- View/download PDF
23. Publisher Correction: Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways
- Author
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Duffy, David L., Zhu, Gu, Li, Xin, Sanna, Marianna, Iles, Mark M., Jacobs, Leonie C., Evans, David M., Yazar, Seyhan, Beesley, Jonathan, Law, Matthew H., Kraft, Peter, Visconti, Alessia, Taylor, John C., Liu, Fan, Wright, Margaret J., Henders, Anjali K., Bowdler, Lisa, Glass, Dan, Ikram, M. Arfan, Uitterlinden, André G., Madden, Pamela A., Heath, Andrew C., Nelson, Elliot C., Green, Adele C., Chanock, Stephen, Barrett, Jennifer H., Brown, Matthew A., Hayward, Nicholas K., MacGregor, Stuart, Sturm, Richard A., Hewitt, Alex W., Melanoma GWAS Consortium, Kayser, Manfred, Hunter, David J., Newton Bishop, Julia A., Spector, Timothy D., Montgomery, Grant W., Mackey, David A., Smith, George Davey, Nijsten, Tamar E., Bishop, D. Timothy, Bataille, Veronique, Falchi, Mario, Han, Jiali, and Martin, Nicholas G.
- Published
- 2019
- Full Text
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24. Genome-wide association study of intraocular pressure uncovers new pathways to glaucoma
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MacGregor, Stuart, Ong, Jue-Sheng, An, Jiyuan, Han, Xikun, Zhou, Tiger, Siggs, Owen M., Law, Matthew H., Souzeau, Emmanuelle, Sharma, Shiwani, Lynn, David J., Beesley, Jonathan, Sheldrick, Bronwyn, Mills, Richard A., Landers, John, Ruddle, Jonathan B., Graham, Stuart L., Healey, Paul R., White, Andrew J. R., Casson, Robert J., Best, Stephen, Grigg, John R, Goldberg, Ivan, Powell, Joseph E., Whiteman, David C., Radford-Smith, Graham L., Martin, Nicholas G., Montgomery, Grant W., Burdon, Kathryn P., Mackey, David A., Gharahkhani, Puya, Craig, Jamie E., and Hewitt, Alex W.
- Published
- 2018
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- View/download PDF
25. Height and overall cancer risk and mortality: evidence from a Mendelian randomisation study on 310,000 UK Biobank participants
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Ong, Jue-Sheng, An, Jiyuan, Law, Matthew H., Whiteman, David C., Neale, Rachel E., Gharahkhani, Puya, and MacGregor, Stuart
- Published
- 2018
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26. Erratum to : Variants of EVER1 and EVER2 ( TMC6 and TMC8 ) and human papillomavirus status in patients with mucosal squamous cell carcinoma of the head and neck
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Study of Digestive Health (SDH), Antonsson, Annika, Law, Matthew H., Neale, Rachel E., Coman, William B., Pryor, David I., Porceddu, Sandro V., and Whiteman, David C.
- Published
- 2016
27. Variants of EVER1 and EVER2 ( TMC6 and TMC8 ) and human papillomavirus status in patients with mucosal squamous cell carcinoma of the head and neck
- Author
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Study of Digestive Health (SDH), Antonsson, Annika, Law, Matthew H., Neale, Rachel E., Coman, William B., Pryor, David I., Porceddu, Sandro V., and Whiteman, David C.
- Published
- 2016
28. Design and quality control of large-scale two-sample Mendelian randomization studies.
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Haycock, Philip C, Borges, Maria Carolina, Burrows, Kimberley, Lemaitre, Rozenn N, Harrison, Sean, Burgess, Stephen, Chang, Xuling, Westra, Jason, Khankari, Nikhil K, Tsilidis, Kostas K, Gaunt, Tom, Hemani, Gibran, Zheng, Jie, Truong, Therese, O'Mara, Tracy A, Spurdle, Amanda B, Law, Matthew H, Slager, Susan L, Birmann, Brenda M, and Hosnijeh, Fatemeh Saberi
- Subjects
QUALITY control ,METADATA ,GENETIC variation ,GENOME-wide association studies ,GENOMICS ,STATISTICAL association ,HUMAN genome - Abstract
Background Mendelian randomization (MR) studies are susceptible to metadata errors (e.g. incorrect specification of the effect allele column) and other analytical issues that can introduce substantial bias into analyses. We developed a quality control (QC) pipeline for the Fatty Acids in Cancer Mendelian Randomization Collaboration (FAMRC) that can be used to identify and correct for such errors. Methods We collated summary association statistics from fatty acid and cancer genome-wide association studies (GWAS) and subjected the collated data to a comprehensive QC pipeline. We identified metadata errors through comparison of study-specific statistics to external reference data sets (the National Human Genome Research Institute-European Bioinformatics Institute GWAS catalogue and 1000 genome super populations) and other analytical issues through comparison of reported to expected genetic effect sizes. Comparisons were based on three sets of genetic variants: (i) GWAS hits for fatty acids, (ii) GWAS hits for cancer and (iii) a 1000 genomes reference set. Results We collated summary data from 6 fatty acid and 54 cancer GWAS. Metadata errors and analytical issues with the potential to introduce substantial bias were identified in seven studies (11.6%). After resolving metadata errors and analytical issues, we created a data set of 219 842 genetic associations with 90 cancer types, generated in analyses of 566 665 cancer cases and 1 622 374 controls. Conclusions In this large MR collaboration, 11.6% of included studies were affected by a substantial metadata error or analytical issue. By increasing the integrity of collated summary data prior to their analysis, our protocol can be used to increase the reliability of downstream MR analyses. Our pipeline is available to other researchers via the CheckSumStats package (https://github.com/MRCIEU/CheckSumStats). [ABSTRACT FROM AUTHOR]
- Published
- 2023
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29. Novel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways
- Author
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Duffy, David L., Zhu, Gu, Li, Xin, Sanna, Marianna, Iles, Mark M., Jacobs, Leonie C., Evans, David M., Yazar, Seyhan, Beesley, Jonathan, Law, Matthew H., Kraft, Peter, Visconti, Alessia, Taylor, John C., Liu, Fan, Wright, Margaret J., Henders, Anjali K., Bowdler, Lisa, Glass, Dan, Ikram, M. Arfan, Uitterlinden, André G., Madden, Pamela A., Heath, Andrew C., Nelson, Elliot C., Green, Adele C., Chanock, Stephen, Barrett, Jennifer H., Brown, Matthew A., Hayward, Nicholas K., MacGregor, Stuart, Sturm, Richard A., Hewitt, Alex W., Melanoma GWAS Consortium, Kayser, Manfred, Hunter, David J., Newton Bishop, Julia A., Spector, Timothy D., Montgomery, Grant W., Mackey, David A., Smith, George Davey, Nijsten, Tamar E., Bishop, D. Timothy, Bataille, Veronique, Falchi, Mario, Han, Jiali, and Martin, Nicholas G.
- Published
- 2018
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30. Cholesterol‐lowering genetic variants are not associated with the risk of skin cancer.
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Dusingize, Jean Claude, Olsen, Catherine M., Law, Matthew H., Pandeya, Nirmala, Neale, Rachel E., MacGregor, Stuart, Whiteman, David C., and Ong, Jue‐Sheng
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SKIN cancer ,GENETIC variation ,DISEASE risk factors ,SINGLE nucleotide polymorphisms ,CHOLESTERYL ester transfer protein - Published
- 2023
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31. Variants of EVER1 and EVER2 (TMC6 and TMC8) and human papillomavirus status in patients with mucosal squamous cell carcinoma of the head and neck
- Author
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Antonsson, Annika, Law, Matthew H., Neale, Rachel E., Coman, William B., Pryor, David I., Porceddu, Sandro V., Whiteman, David C., and Study of Digestive Health (SDH)
- Published
- 2016
- Full Text
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32. ABCB1 (MDR1) polymorphisms and ovarian cancer progression and survival: A comprehensive analysis from the Ovarian Cancer Association Consortium and The Cancer Genome Atlas
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Johnatty, Sharon E., Beesley, Jonathan, Gao, Bo, Chen, Xiaoqing, Lu, Yi, Law, Matthew H., Henderson, Michelle J., Russell, Amanda J., Hedditch, Ellen L., Emmanuel, Catherine, Fereday, Sian, Webb, Penelope M., Goode, Ellen L., Vierkant, Robert A., Fridley, Brooke L., Cunningham, Julie M, Fasching, Peter A., Beckmann, Matthias W., Ekici, Arif B., Hogdall, Estrid, Kjaer, Susanne K., Jensen, Allan, Hogdall, Claus, Brown, Robert, Paul, Jim, Lambrechts, Sandrina, Despierre, Evelyn, Vergote, Ignace, Lester, Jenny, Karlan, Beth Y., Heitz, Florian, du Bois, Andreas, Harter, Philipp, Schwaab, Ira, Bean, Yukie, Pejovic, Tanja, Levine, Douglas A., Goodman, Marc T., Camey, Michael E., Thompson, Pamela J., Lurie, Galina, Shildkraut, Joellen, Berchuck, Andrew, Terry, Kathryn L., Cramer, Daniel W., Norris, Murray D., Haber, Michelle, MacGregor, Stuart, deFazio, Anna, and Chenevix-Trench, Georgia
- Published
- 2013
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33. Investigation of Shared Genetic Risk Factors Between Parkinson's Disease and Cancers.
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Sugier, Pierre‐Emmanuel, Lucotte, Elise A., Domenighetti, Cloé, Law, Matthew H., Iles, Mark M., Brown, Kevin, Amos, Christopher, McKay, James D., Hung, Rayjean J., Karimi, Mojgan, Bacq‐Daian, Delphine, Boland‐Augé, Anne, Olaso, Robert, Deleuze, Jean‐françois, Lesueur, Fabienne, Ostroumova, Evgenia, Kesminiene, Ausrele, de Vathaire, Florent, Guénel, Pascal, and Sreelatha, Ashwin Ashok Kumar
- Abstract
Background: Epidemiological studies that examined the association between Parkinson's disease (PD) and cancers led to inconsistent results, but they face a number of methodological difficulties. Objective: We used results from genome‐wide association studies (GWASs) to study the genetic correlation between PD and different cancers to identify common genetic risk factors. Methods: We used individual data for participants of European ancestry from the Courage‐PD (Comprehensive Unbiased Risk Factor Assessment for Genetics and Environment in Parkinson's Disease; PD, N = 16,519) and EPITHYR (differentiated thyroid cancer, N = 3527) consortia and summary statistics of GWASs from iPDGC (International Parkinson Disease Genomics Consortium; PD, N = 482,730), Melanoma Meta‐Analysis Consortium (MMAC), Breast Cancer Association Consortium (breast cancer), the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (prostate cancer), International Lung Cancer Consortium (lung cancer), and Ovarian Cancer Association Consortium (ovarian cancer) (N comprised between 36,017 and 228,951 for cancer GWASs). We estimated the genetic correlation between PD and cancers using linkage disequilibrium score regression. We studied the association between PD and polymorphisms associated with cancers, and vice versa, using cross‐phenotypes polygenic risk score (PRS) analyses. Results: We confirmed a previously reported positive genetic correlation of PD with melanoma (Gcorr = 0.16 [0.04; 0.28]) and reported an additional significant positive correlation of PD with prostate cancer (Gcorr = 0.11 [0.03; 0.19]). There was a significant inverse association between the PRS for ovarian cancer and PD (odds ratio [OR] = 0.89 [0.84; 0.94]). Conversely, the PRS of PD was positively associated with breast cancer (OR = 1.08 [1.06; 1.10]) and inversely associated with ovarian cancer (OR = 0.95 [0.91; 0.99]). The association between PD and ovarian cancer was mostly driven by rs183211 located in an intron of the NSF gene (17q21.31). Conclusions: We show evidence in favor of a contribution of pleiotropic genes to the association between PD and specific cancers. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
34. Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring.
- Author
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Campos, Adrian I, Ingold, Nathan, Huang, Yunru, Mitchell, Brittany L, Kho, Pik-Fang, Han, Xikun, García-Marín, Luis M, Ong, Jue-Sheng, Team, 23andMe Research, Law, Matthew H, Yokoyama, Jennifer S, Martin, Nicholas G, Dong, Xianjun, Cuellar-Partida, Gabriel, MacGregor, Stuart, Aslibekyan, Stella, and Rentería, Miguel E
- Published
- 2023
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- View/download PDF
35. Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma
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Law, Matthew H, Bishop, D Timothy, Lee, Jeffrey E, Brossard, Myriam, Martin, Nicholas G, Moses, Eric K, Song, Fengju, Barrett, Jennifer H, Kumar, Rajiv, Easton, Douglas F, Pharoah, Paul D P, Swerdlow, Anthony J, Kypreou, Katerina P, Taylor, John C, Harland, Mark, Randerson-Moor, Juliette, Akslen, Lars A, Andresen, Per A, Avril, Marie-Françoise, Azizi, Esther, Scarrà, Giovanna Bianchi, Brown, Kevin M, Dȩbniak, Tadeusz, Duffy, David L, Elder, David E, Fang, Shenying, Friedman, Eitan, Galan, Pilar, Ghiorzo, Paola, Gillanders, Elizabeth M, Goldstein, Alisa M, Gruis, Nelleke A, Hansson, Johan, Helsing, Per, Hočevar, Marko, Höiom, Veronica, Ingvar, Christian, Kanetsky, Peter A, Chen, Wei V, Landi, Maria Teresa, Lang, Julie, Lathrop, G Mark, Lubiński, Jan, Mackie, Rona M, Mann, Graham J, Molven, Anders, Montgomery, Grant W, Novaković, Srdjan, Olsson, Håkan, Puig, Susana, Puig-Butille, Joan Anton, Qureshi, Abrar A, Radford-Smith, Graham L, van der Stoep, Nienke, van Doorn, Remco, Whiteman, David C, Craig, Jamie E, Schadendorf, Dirk, Simms, Lisa A, Burdon, Kathryn P, Nyholt, Dale R, Pooley, Karen A, Orr, Nick, Stratigos, Alexander J, Cust, Anne E, Ward, Sarah V, Hayward, Nicholas K, Han, Jiali, Schulze, Hans-Joachim, Dunning, Alison M, Bishop, Julia A Newton, Demenais, Florence, Amos, Christopher I, MacGregor, Stuart, and Iles, Mark M
- Published
- 2015
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36. Examining Evidence for a Causal Association between Telomere Length and Nevus Count
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Ingold, Nathan, Dusingize, Jean Claude, Neale, Rachel E., Olsen, Catherine M., Whiteman, David C., Duffy, David L., MacGregor, Stuart, and Law, Matthew H.
- Published
- 2022
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- View/download PDF
37. Validation of self-reported sun exposure against electronic ultraviolet radiation dosimeters.
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Zhang, Ran, Smit, Amelia K, Espinoza, David, Allen, Martin, Reyes-Marcelino, Gillian, Kimlin, Michael G, Lo, Serigne N, Sharman, Ashleigh R, Law, Matthew H, Kanetsky, Peter A, Mann, Graham J, and Cust, Anne E
- Subjects
SUNSHINE ,DOSIMETERS ,BLAND-Altman plot ,ULTRAVIOLET radiation ,ULTRAVIOLET radiation measurement ,SOLAR ultraviolet radiation - Abstract
From the dosimeter data we derived: (i) time spent outdoors exposed to UV, defined as any 8-s measurements with UV values of >0; and (ii) total standard erythemal doses (SEDs) as a measure of UV dose. Table 1 Spearman rank correlations between weekend and weekday ultraviolet radiation (UV) exposure measured as standard erythemal doses (SEDs) using electronic UV dosimeters HT
. Validation, exposure measurement, ultraviolet radiation, dosimetry, questionnaire, skin cancer Keywords: Validation; exposure measurement; ultraviolet radiation; dosimetry; questionnaire; skin cancer EN Validation exposure measurement ultraviolet radiation dosimetry questionnaire skin cancer 324 328 5 02/16/23 20230201 NES 230201 Ultraviolet radiation (UV) exposure is the main risk factor for skin cancer[1] and skin cancer prevention research and health promotion programme evaluation relies on the accurate measurement of sun exposure using questionnaires. [Extracted from the article] - Published
- 2023
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38. Risk Factors Associated With First and Second Primary Melanomas in a High-Incidence Population.
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Olsen, Catherine M., Pandeya, Nirmala, Dusingize, Jean Claude, Neale, Rachel E., MacGregor, Stuart, Law, Matthew H., Whiteman, David C., and QSkin Study
- Published
- 2023
- Full Text
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39. The Effect on Melanoma Risk of Genes Previously Associated With Telomere Length
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Iles, Mark M., Bishop, D. Timothy, Taylor, John C., Hayward, Nicholas K., Brossard, Myriam, Cust, Anne E., Dunning, Alison M., Lee, Jeffrey E., Moses, Eric K., Akslen, Lars A., Andresen, Per A., Avril, Marie-Françoise, Azizi, Esther, Scarrà, Giovanna Bianchi, Brown, Kevin M., Dębniak, Tadeusz, Elder, David E., Friedman, Eitan, Ghiorzo, Paola, Gillanders, Elizabeth M., Goldstein, Alisa M., Gruis, Nelleke A., Hansson, Johan, Harland, Mark, Helsing, Per, Hočevar, Marko, Höiom, Veronica, Ingvar, Christian, Kanetsky, Peter A., Landi, Maria Teresa, Lang, Julie, Lathrop, G. Mark, Lubiński, Jan, Mackie, Rona M., Martin, Nicholas G., Molven, Anders, Montgomery, Grant W., Novaković, Srdjan, Olsson, Håkan, Puig, Susana, Puig-Butille, Joan Anton, Radford-Smith, Graham L., Randerson-Moor, Juliette, van der Stoep, Nienke, van Doorn, Remco, Whiteman, David C., MacGregor, Stuart, Pooley, Karen A., Ward, Sarah V., Mann, Graham J., Amos, Christopher I., Pharoah, Paul D. P., Demenais, Florence, Law, Matthew H., Newton Bishop, Julia A., and Barrett, Jennifer H.
- Published
- 2014
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40. PARP1 polymorphisms play opposing roles in melanoma occurrence and survival
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Law, Matthew H., Rowe, Casey J., Montgomery, Grant W., Hayward, Nicholas K., MacGregor, Stuart, and Khosrotehrani, Kiarash
- Published
- 2015
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41. The effect of screening on melanoma incidence and biopsy rates*.
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Whiteman, David C., Olsen, Catherine M., MacGregor, Stuart, Law, Matthew H., Thompson, Bridie, Dusingize, Jean Claude, Green, Adele C., Neale, Rachel E., and Pandeya, Nirmala
- Subjects
SKIN biopsy ,BIOPSY ,SKIN examination ,CONFIDENCE intervals ,SECONDARY analysis ,MELANOMA - Abstract
Background: Cutaneous melanomas are common cancers in white‐skinned populations, and early detection is promoted as a means of reducing morbidity and mortality. There is concern that increased skin screening is leading to overdiagnosis of indolent melanomas with low risk of lethality. The extent of melanoma overdiagnosis associated with screening is unknown. Objectives: To estimate possible overdiagnosis by comparing subsequent melanoma incidence and biopsy rates among people subjected to skin screening those who were not. Methods: We recruited 43 762 residents of Queensland, Australia, aged 40–69 years, with no prior history of melanoma, selected at random from a population register in 2010. At baseline, participants completed a comprehensive melanoma risk factor survey and were asked if their skin had been examined by a doctor in the 3 years prior to baseline. We calculated incidence and relative risk of histologically confirmed melanoma (invasive and in situ) in years 2–7 of follow‐up, obtained through linkage to the cancer registry. In secondary analyses, we measured biopsy rates in years 2–6 of follow‐up. We used propensity score analysis to calculate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). Results: In total, 28 155 participants underwent skin screening prior to baseline. We observed 967 first‐incident melanomas (381 invasive) during 197 191 person‐years of follow‐up. Those screened had higher rates of melanoma (aHR 1·29, 95% CI 1·02–1·63) and subsequent skin biopses (aHR 1·85, 95% CI 1·69–2·04) than unscreened participants. The higher risk associated with skin screening was evident for in situ melanoma (aHR 1·45, 95% CI 1·09–1·92) but not invasive melanoma (aHR 1·05, 95% CI 0·72–1·54). In secondary analyses, where screening was defined as having a skin biopsy in the first year after baseline, we observed significantly increased risks of melanoma (aHR 1·53, 95% CI 1·23–1·89) and subsequent biopsies (aHR 2·64, 95% CI 2·46–2·84) relative to those who did not have a biopsy. Conclusions: People who undergo skin screening subsequently experience higher rates of biopsies and melanoma (especially in situ melanoma), even after adjusting for all known risk factors, consistent with overdiagnosis. What is already known about this topic?Cutaneous melanomas are common cancers in white‐skinned populations for which early detection is promoted as a means of reducing morbidity and mortality.There is concern that increased surveillance is leading to the overdiagnosis of indolent melanomas that are not destined to be lethal.The extent of melanoma overdiagnosis associated with surveillance is not known. What does this study add?People subjected to skin examinations by a doctor or who undergo skin biopsies subsequently have higher numbers of biopsies and higher rates of melanoma than people not subjected to either, even after adjusting for all known risk factors.These findings suggest that heightened surveillance leads to a proportion of melanomas being diagnosed that otherwise may not have come to clinical attention. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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42. A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma
- Author
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Yokoyama, Satoru, Woods, Susan L., Boyle, Glen M., Aoude, Lauren G., MacGregor, Stuart, Zismann, Victoria, Gartside, Michael, Cust, Anne E., Haq, Rizwan, Harland, Mark, Taylor, John C., Duffy, David L., Holohan, Kelly, Dutton-Regester, Ken, Palmer, Jane M., Bonazzi, Vanessa, Stark, Mitchell S., Symmons, Judith, Law, Matthew H., Schmidt, Christopher, Lanagan, Cathy, O’Connor, Linda, Holland, Elizabeth A., Schmid, Helen, Maskiell, Judith A., Jetann, Jodie, Ferguson, Megan, Jenkins, Mark A., Kefford, Richard F., Giles, Graham G., Armstrong, Bruce K., Aitken, Joanne F., Hopper, John L., Whiteman, David C., Pharoah, Paul D., Easton, Douglas F., Dunning, Alison M., Newton-Bishop, Julia A., Montgomery, Grant W., Martin, Nicholas G., Mann, Graham J., Bishop, D. Timothy, Tsao, Hensin, Trent, Jeffrey M., Fisher, David E., Hayward, Nicholas K., and Brown, Kevin M.
- Published
- 2011
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43. Identification of a melanoma susceptibility locus and somatic mutation in TET2
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Song, Fengju, Amos, Christopher I., Lee, Jeffrey E., Lian, Christine G., Fang, Shenying, Liu, Hongliang, MacGregor, Stuart, Iles, Mark M., Law, Matthew H., Lindeman, Neal I., Montgomery, Grant W., Duffy, David L., Cust, Anne E., Jenkins, Mark A., Whiteman, David C., Kefford, Richard F., Giles, Graham G., Armstrong, Bruce K., Aitken, Joanne F., Hopper, John L., Brown, Kevin M., Martin, Nicholas G., Mann, Graham J., Bishop, Timothy D., Bishop, Julia A.Newton, Kraft, Peter, Qureshi, Abrar A., Kanetsky, Peter A., Hayward, Nicholas K., Hunter, David J., Wei, Qingyi, and Han, Jiali
- Published
- 2014
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44. Multitrait genetic association analysis identifies 50 new risk loci for gastro-oesophageal reflux, seven new loci for Barrett's oesophagus and provides insights into clinical heterogeneity in reflux diagnosis.
- Author
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Jue-Sheng Ong, Jiyuan An, Xikun Han, Law, Matthew H., Nandakumar, Priyanka, Schumacher, Johannes, Gockel, Ines, Bohmer, Anne, Jankowski, Janusz, Palles, Claire, Olsen, Catherine M., Neale, Rachel E., Fitzgerald, Rebecca, Thrift, Aaron P., Vaughan, Thomas L., Buas, Matthew F., Hinds, David A., Gharahkhani, Puya, Kendall, Bradley J., and MacGregor, Stuart
- Subjects
BARRETT'S esophagus ,HEARTBURN ,LOCUS (Genetics) ,LOCUS (Mathematics) ,GENETIC regulation ,DIAGNOSIS - Published
- 2022
- Full Text
- View/download PDF
45. Overlapping genetic architecture between Parkinson disease and melanoma
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Dube, Umber Ibanez, Laura Budde, John P. Benitez, Bruno A. and Davis, Albert A. Harari, Oscar Iles, Mark M. Law, Matthew H. Brown, Kevin M. Agee, Michelle Alipanahi, Babak and Auton, Adam Bell, Robert K. Bryc, Katarzyna Elson, Sarah L. Fontanillas, Pierre Furlotte, Nicholas A. Hinds, David A. and Huber, Karen E. Kleinman, Aaron Litterman, Nadia K. and McCreight, Jennifer C. McIntyre, Matthew H. Mountain, Joanna L. and Noblin, Elizabeth S. Northover, Carrie A. M. Pitts, Steven J. Sathirapongsasuti, J. Fah Sazonova, Olga V. Shelton, Janie F. Shringarpure, Suyash Tian, Chao Tung, Joyce Y. and Vacic, Vladimir Wilson, Catherine H. Law, M. H. Law, M. H. and Bishop, D. T. Lee, J. E. Brossard, M. Martin, N. G. and Moses, E. K. Song, F. Barrett, J. H. Kumar, R. Easton, D. F. Pharoah, P. D. Swerdlow, A. J. Kypreou, K. P. and Taylor, J. C. Harland, M. Randerson-Moor, J. Akslen, L. A. and Andresen, P. A. Avril, M. F. Azizi, E. Scarra, G. B. and Brown, K. M. Debniak, T. Duffy, D. L. Elder, D. E. Fang, S. Friedman, E. Galan, P. Ghiorzo, P. Gillanders, E. M. and Goldstein, A. M. Gruis, N. A. Hansson, J. Helsing, P. and Hocevar, M. Hoiom, V. Ingvar, C. Kanetsky, P. A. and Chen, W. V. Landi, M. T. Lang, J. Lathrop, G. M. and Lubinski, J. Mackie, R. M. Mann, G. J. Molven, A. and Montgomery, G. W. Novakovic, S. Olsson, H. Puig, S. and Puig-Butille, J. A. Wu, W. Qureshi, A. A. Radford-Smith, G. L. Van der Stoep, N. Van Doorn, R. Whiteman, D. C. and Craig, J. E. Schadendorf, E. Simms, L. A. Burdon, K. P. and Nyholt, D. R. Pooley, K. A. Orr, N. Stratigos, A. J. and Cust, A. E. Ward, S. V. Hayward, N. K. Han, J. Schulze, H. J. Dunning, A. M. Bishop, J. A. Demenais, F. Amos, C. I. MacGregor, S. Iles, M. M. Cruchaga, Carlos 23andMe Research Team Melanoma Meta Analysis Consortium
- Abstract
Epidemiologic studies have reported inconsistent results regarding an association between Parkinson disease (PD) and cutaneous melanoma (melanoma). Identifying shared genetic architecture between these diseases can support epidemiologic findings and identify common risk genes and biological pathways. Here, we apply polygenic, linkage disequilibrium-informed methods to the largest available case-control, genome-wide association study summary statistic data for melanoma and PD. We identify positive and significant genetic correlation (correlation: 0.17, 95% CI 0.10-0.24; P = 4.09 x 10(-06)) between melanoma and PD. We further demonstrate melanoma and PD-inferred gene expression to overlap across tissues (correlation: 0.14, 95% CI 0.06 to 0.22; P = 7.87 x 10(-04)) and highlight seven genes including PIEZO1, TRAPPC2L, and SOX6 as potential mediators of the genetic correlation between melanoma and PD. These findings demonstrate specific, shared genetic architecture between PD and melanoma that manifests at the level of gene expression.
- Published
- 2020
46. Association between putative functional variants in the PSMB9 gene and risk of melanoma – re-analysis of published melanoma genome-wide association studies
- Author
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Qian, Ji, Liu, Hongliang, Wei, Sheng, Liu, Zhensheng, Li, Yangkai, Wang, Li-E, Chen, Wei V., Amos, Christopher I., Lee, Jeffrey E., Iles, Mark M., Law, Matthew H., Cust, Anne E., Barrett, Jennifer H., Montgomery, Grant W., Taylor, John, Bishop, Julia A. Newton, MacGregor, Stuart, Bishop, Timothy D., Mann, Graham J., Hayward, Nicholas K., and Wei, Qingyi
- Published
- 2013
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47. Association between functional polymorphisms in genes involved in the MAPK signaling pathways and cutaneous melanoma risk
- Author
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Liu, Hongliang, Wang, Li-E, Liu, Zhensheng, Chen, Wei V., Amos, Christopher I., Lee, Jeffrey E., Iles, Mark M., Law, Matthew H., Barrett, Jennifer H., Montgomery, Grant W., Taylor, John C., MacGregor, Stuart, Cust, Anne E, Newton Bishop, Julia A., Hayward, Nicholas K., Bishop, D.Timothy, Mann, Graham J., Affleck, Paul, and Wei, Qingyi
- Published
- 2013
- Full Text
- View/download PDF
48. Independent evaluation of melanoma polygenic risk scores in UK and Australian prospective cohorts*.
- Author
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Steinberg, Julia, Iles, Mark M., Lee, Jin Yee, Wang, Xiaochuan, Law, Matthew H., Smit, Amelia K., Nguyen‐Dumont, Tu, Giles, Graham G., Southey, Melissa C., Milne, Roger L., Mann, Graham J., Bishop, D. Timothy, MacInnis, Robert J., and Cust, Anne E.
- Subjects
DISEASE risk factors ,MONOGENIC & polygenic inheritance (Genetics) ,MELANOMA ,SINGLE nucleotide polymorphisms ,AGE groups ,CONFIDENCE intervals - Abstract
Summary: Background: Previous studies suggest that polygenic risk scores (PRSs) may improve melanoma risk stratification. However, there has been limited independent validation of PRS‐based risk prediction, particularly assessment of calibration (comparing predicted to observed risks). Objectives: To evaluate PRS‐based melanoma risk prediction in prospective UK and Australian cohorts with European ancestry. Methods: We analysed invasive melanoma incidence in the UK Biobank (UKB; n = 395 647, 1651 cases) and a case‐cohort nested within the Melbourne Collaborative Cohort Study (MCCS, Australia; n = 4765, 303 cases). Three PRSs were evaluated: 68 single‐nucleotide polymorphisms (SNPs) at 54 loci from a 2020 meta‐analysis (PRS68), 50 SNPs significant in the 2020 meta‐analysis excluding UKB (PRS50) and 45 SNPs at 21 loci known in 2018 (PRS45). Ten‐year melanoma risks were calculated from population‐level cancer registry data by age group and sex, with and without PRS adjustment. Results: Predicted absolute melanoma risks based on age and sex alone underestimated melanoma incidence in the UKB [ratio of expected/observed cases: E/O = 0·65, 95% confidence interval (CI) 0·62–0·68] and MCCS (E/O = 0·63, 95% CI 0·56–0·72). For UKB, calibration was improved by PRS adjustment, with PRS50‐adjusted risks E/O = 0·91, 95% CI 0·87–0·95. The discriminative ability for PRS68‐ and PRS50‐adjusted absolute risks was higher than for risks based on age and sex alone (Δ area under the curve 0·07–0·10, P < 0·0001), and higher than for PRS45‐adjusted risks (Δ area under the curve 0·02–0·04, P < 0·001). Conclusions: A PRS derived from a larger, more diverse meta‐analysis improves risk prediction compared with an earlier PRS, and might help tailor melanoma prevention and early detection strategies to different risk levels. Recalibration of absolute risks may be necessary for application to specific populations. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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49. Genetically determined cutaneous nevi and risk of cancer.
- Author
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Dusingize, Jean Claude, Law, Matthew H., Pandeya, Nirmala, Neale, Rachel E., Ong, Jue‐Sheng, MacGregor, Stuart, Whiteman, David C., and Olsen, Catherine M.
- Subjects
DISEASE risk factors ,NEVUS ,BASAL cell carcinoma ,MONOGENIC & polygenic inheritance (Genetics) ,SQUAMOUS cell carcinoma - Abstract
Numerous epidemiologic studies have reported positive associations between higher nevus counts and internal cancers. Whether this association represents a true relationship or is due to bias or confounding by factors associated with both nevus counts and cancer remains unclear. We used germline genetic variants for nevus count to test whether this phenotypic trait is a risk‐marker for cancer. We calculated polygenic risk scores (PRS) for nevus counts using individual‐level data in the UK Biobank (n = 394 306) and QSkin cohort (n = 17 427). The association between the nevus PRS and each cancer site was assessed using logistic regression adjusted for the effects of age, sex and the first five principal components. In both cohorts, those in the highest nevus PRS quartile had higher risks of melanoma than those in the lowest quartile (UK Biobank odds ratio [OR] 1.42, 95% confidence interval [CI]: 1.29‐1.55; QSkin OR 1.58, 95% CI: 1.29‐1.94). We also observed increases in risk of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) associated with higher nevus PRS quartiles (BCC UK Biobank OR 1.38, 95% CI: 1.33‐1.44; QSkin OR 1.20, 95% CI: 1.05‐1.38 and SCC UK Biobank OR 1.41, 95% CI: 1.28‐1.55; QSkin OR 1.44, 95% CI: 1.19‐1.77). We found no consistent evidence that nevus count PRS were associated with risks of developing internal cancers. We infer that associations between nevus counts and internal cancers reported in earlier observational studies arose because of unmeasured confounding or other biases. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
50. Functional annotation and investigation of the 10q24.33 melanoma risk locus identifies a common variant that influences transcriptional regulation of OBFC1.
- Author
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Cardinale, Antonella, Cantalupo, Sueva, Lasorsa, Vito Alessandro, Montella, Annalaura, Cimmino, Flora, Succoio, Mariangela, Vermeulen, Michiel, Baltissen, Marijke P, Esposito, Matteo, Avitabile, Marianna, Formicola, Daniela, Testori, Alessandro, Bonfiglio, Ferdinando, Ghiorzo, Paola, Scalvenzi, Massimiliano, Ayala, Fabrizio, Zambrano, Nicola, Iles, Mark M, Xu, Mai, and Law, Matthew H
- Published
- 2022
- Full Text
- View/download PDF
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