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Browsing by Author "Hunter, David J."
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Item Caffeine Intake, Coffee Consumption, and Risk of Cutaneous Malignant Melanoma(Ovid Technologies (Wolters Kluwer) - Lippincott Williams & Wilkins, 2015-11) Wu, Shaowei; Han, Jiali; Song, Fengju; Cho, Eunyoung; Gao, Xiang; Hunter, David J.; Qureshi, Abrar A.; Department of Epidemiology, Richard M. Fairbanks School of Public HealthBACKGROUND: Caffeine has been shown to prevent ultraviolet radiation-induced carcinogenesis and to inhibit growth of melanoma cells in experimental studies. We evaluated the association among caffeine intake, coffee consumption, and melanoma risk among three large cohort studies. METHODS: The analysis used data from 89,220 women in the Nurses' Health Study II (1991-2009), 74,666 women in the Nurses' Health Study (1980-2008), and 39,424 men in the Health Professionals Follow-up Study (1986-2008). We used Cox proportional hazards models to estimate the hazard ratios (HR) with 95% confidence intervals (CIs) of melanoma associated with dietary intakes. RESULTS: We documented 2,254 melanoma cases over 4 million person-years of follow-up. After adjustment for other risk factors, higher total caffeine intake was associated with a lower risk of melanoma (≥393 mg/day vs. <60 mg/day: HR = 0.78, 95% CI = 0.64, 0.96; Ptrend = 0.048). The association was more apparent in women (≥393 mg/day vs. <60 mg/day: HR = 0.70, 95% CI = 0.58, 0.85; Ptrend = 0.001) than in men (HR = 0.94, 95% CI = 0.75, 1.2; Ptrend = 0.81), and more apparent for melanomas occurring on body sites with higher continuous sun exposure (head, neck, and extremities; ≥393 mg/day vs. <60 mg/day: HR = 0.71, 95% CI = 0.59, 0.86; Ptrend = 0.001) than for melanomas occurring on body sites with lower continuous sun exposure (trunk including shoulder, back, hip, abdomen, and chest; HR = 0.90, 95% CI = 0.70, 1.2; Ptrend = 0.60). This pattern of association was similar to that for caffeinated coffee consumption, whereas no association was found for decaffeinated coffee consumption and melanoma risk. CONCLUSIONS: Increasing caffeine intake and caffeinated coffee consumption is associated with decreased risk of cutaneous malignant melanomas.Item Explicit Modeling of Ancestry Improves Polygenic Risk Scores and BLUP Prediction(Wiley, 2015-09) Chen, Chia-Yen; Han, Jiali; Hunter, David J.; Kraft, Peter; Price, Alkes L.; Department of Epidemiology, Richard M. Fairbanks School of Public HealthPolygenic prediction using genome-wide SNPs can provide high prediction accuracy for complex traits. Here, we investigate the question of how to account for genetic ancestry when conducting polygenic prediction. We show that the accuracy of polygenic prediction in structured populations may be partly due to genetic ancestry. However, we hypothesized that explicitly modeling ancestry could improve polygenic prediction accuracy. We analyzed three GWAS of hair color (HC), tanning ability (TA), and basal cell carcinoma (BCC) in European Americans (sample size from 7,440 to 9,822) and considered two widely used polygenic prediction approaches: polygenic risk scores (PRSs) and best linear unbiased prediction (BLUP). We compared polygenic prediction without correction for ancestry to polygenic prediction with ancestry as a separate component in the model. In 10-fold cross-validation using the PRS approach, the R(2) for HC increased by 66% (0.0456-0.0755; P < 10(-16)), the R(2) for TA increased by 123% (0.0154 to 0.0344; P < 10(-16)), and the liability-scale R(2) for BCC increased by 68% (0.0138-0.0232; P < 10(-16)) when explicitly modeling ancestry, which prevents ancestry effects from entering into each SNP effect and being overweighted. Surprisingly, explicitly modeling ancestry produces a similar improvement when using the BLUP approach, which fits all SNPs simultaneously in a single variance component and causes ancestry to be underweighted. We validate our findings via simulations, which show that the differences in prediction accuracy will increase in magnitude as sample sizes increase. In summary, our results show that explicitly modeling ancestry can be important in both PRS and BLUP prediction.Item Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study(Elsevier, 2021) Tsilidis, Konstantinos K.; Papadimitriou, Nikos; Dimou, Niki; Gill, Dipender; Lewis, Sarah J.; Martin, Richard M.; Murphy, Neil; Markozannes, Georgios; Zuber, Verena; Cross, Amanda J.; Burrows, Kimberley; Lopez, David S.; Key, Timothy J.; Travis, Ruth C.; Perez-Cornago, Aurora; Hunter, David J.; van Duijnhoven, Fränzel J. B.; Albanes, Demetrius; Arndt, Volker; Berndt, Sonja I.; Bézieau, Stéphane; Bishop, D. Timothy; Boehm, Juergen; Brenner, Hermann; Burnett-Hartman, Andrea; Campbell, Peter T.; Casey, Graham; Castellví-Bel, Sergi; Chan, Andrew T.; Chang-Claude, Jenny; de la Chapelle, Albert; Figueiredo, Jane C.; Gallinger, Steven J.; Giles, Graham G.; Goodman, Phyllis J.; Gsur, Andrea; Hampe, Jochen; Hampel, Heather; Hoffmeister, Michael; Jenkins, Mark A.; Keku, Temitope O.; Kweon, Sun-Seog; Larsson, Susanna C.; Le Marchand, Loic; Li, Christopher I.; Li, Li; Lindblom, Annika; Martín, Vicente; Milne, Roger L.; Moreno, Victor; Nan, Hongmei; Nassir, Rami; Newcomb, Polly A.; Offit, Kenneth; Pharoah, Paul D. P.; Platz, Elizabeth A.; Potter, John D.; Qi, Lihong; Rennert, Gad; Sakoda, Lori C.; Schafmayer, Clemens; Slattery, Martha L.; Snetselaar, Linda; Schenk, Jeanette; Thibodeau, Stephen N.; Ulrich, Cornelia M.; Van Guelpen, Bethany; Harlid, Sophia; Visvanathan, Kala; Vodickova, Ludmila; Wang, Hansong; White, Emily; Wolk, Alicja; Woods, Michael O.; Wu, Anna H.; Zheng, Wei; Bueno-de-Mesquita, Bas; Boutron-Ruault, Marie-Christine; Hughes, David J.; Jakszyn, Paula; Kühn, Tilman; Palli, Domenico; Riboli, Elio; Giovannucci, Edward L.; Banbury, Barbara L.; Gruber, Stephen B.; Peters, Ulrike; Gunter, Marc J.; Epidemiology, School of Public HealthBackground: The literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited. Objectives: To complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (β-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR). Methods: Two-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions. Results: Nominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08; 95% CI: 1.00, 1.17; P value = 0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12; 95% CI: 1.03, 1.21; P value = 0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98; 95% CI: 0.96, 1.00; P value = 0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of β-carotene, calcium, copper, folate, magnesium, phosphorus, and vitamin B-6 were not associated with disease risk. Conclusions: These results suggest possible causal associations of circulating iron and vitamin B-12 (positively) and selenium (inversely) with risk of colon cancer.Item Identification of a melanoma susceptibility locus and somatic mutation in TET2(Oxford University Press, 2014-09) Song, Fengju; Amos, Christopher I.; Lee, Jeffrey E.; Lian, Christine G.; Fang, Shenying; Liu, Hongliang; MacGregor, Stuart; Iles, Mark M.; Law, Matthew H.; Lindeman, Neil 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, D. Timothy; Bishop, Julia A. Newton; Kraft, Peter; Qureshi, Abrar A.; Kanetsky, Peter A.; Hayward, Nicholas K.; Hunter, David J.; Wei, Qingyi; Han, Jiali; Department of Epidemiology, Richard M. Fairbanks School of Public HealthAlthough genetic studies have reported a number of loci associated with melanoma risk, the complex genetic architecture of the disease is not yet fully understood. We sought to identify common genetic variants associated with melanoma risk in a genome-wide association study (GWAS) of 2298 cases and 6654 controls. Thirteen of 15 known loci were replicated with nominal significance. A total of 69 single-nucleotide polymorphisms (SNPs) were selected for in silico replication in two independent melanoma GWAS datasets (a total of 5149 cases and 12 795 controls). Seven novel loci were nominally significantly associated with melanoma risk. These seven SNPs were further genotyped in 234 melanoma cases and 238 controls. The SNP rs4698934 was nominally significantly associated with melanoma risk. The combined odds ratio per T allele = 1.18; 95% confidence interval (1.10-1.25); combined P = 7.70 × 10(-) (7). This SNP is located in the intron of the TET2 gene on chromosome 4q24. In addition, a novel somatic mutation of TET2 was identified by next-generation sequencing in 1 of 22 sporadic melanoma cases. TET2 encodes a member of TET family enzymes that oxidizes 5-methylcytosine to 5-hydroxymethylcytosine (5hmC). It is a putative epigenetic biomarker of melanoma as we previously reported, with observation of reduced TET2 transcriptional expression. This study is the first to implicate TET2 genetic variation and mutation in melanoma.Item Large-scale genomic analyses link reproductive ageing to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair(SpringerNature, 2015-11) Day, Felix R.; Ruth, Katherine S.; Thompson, Deborah J.; Lunetta, Kathryn L.; Pervjakova, Natalia; Chasman, Daniel I.; Stolk, Lisette; Finucane, Hilary K.; Sulem, Patrick; Bulik-Sullivan, Brendan; Esko, Tõnu; Johnson, Andrew D.; Elks, Cathy E.; Franceschini, Nora; He, Chunyan; Altmaier, Elisabeth; Brody, Jennifer A.; Franke, Lude L.; Huffman, Jennifer E.; Keller, Margaux F.; McArdle, Patrick F.; Nutile, Teresa; Porcu, Eleonora; Robino, Antonietta; Rose, Lynda M.; Schick, Ursula M.; Smith, Jennifer A.; Teumer, Alexander; Traglia, Michela; Vuckovic, Dragana; Yao, Jie; Zhao, Wei; Albrecht, Eva; Amin, Najaf; Corre, Tanguy; Hottenga, Jouke-Jan; Mangino, Massimo; Smith, Albert V.; Tanaka, Toshiko; Abecasis, Goncalo; Andrulis, Irene L.; Anton-Culver, Hoda; Antoniou, Antonis C.; Arndt, Volker; Arnold, Alice M.; Barbieri, Caterina; Beckmann, Matthias W.; Beeghly-Fadiel, Alicia; Benitez, Javier; Bernstein, Leslie; Bielinski, Suzette J.; Blomqvist, Carl; Boerwinkle, Eric; Bogdanova, Natalia V.; Bojesen, Stig E.; Bolla, Manjeet K.; Borresen-Dale, Anne-Lise; Boutin, Thibaud S.; Brauch, Hiltrud; Brenner, Hermann; Brüning, Thomas; Burwinkel, Barbara; Campbell, Archie; Campbell, Harry; Chanock, Stephen J.; Chapman, J. Ross; Chen, Yii-Der Ida; Chenevix-Trench, Georgia; Couch, Fergus J.; Coviello, Andrea D.; Cox, Angela; Czene, Kamila; Darabi, Hatef; De Vivo, Immaculata; Demerath, Ellen W.; Dennis, Joe; Devilee, Peter; Dörk, Thilo; dos-Santos-Silva, Isabel; Dunning, Alison M.; Eicher, John D.; Fasching, Peter A.; Faul, Jessica D.; Figueroa, Jonine; Flesch-Janys, Dieter; Gandin, Ilaria; Garcia, Melissa E.; García-Closas, Montserrat; Giles, Graham G.; Girotto, Giorgia G.; Goldberg, Mark S.; González-Neira, Anna; Goodarzi, Mark O.; Grove, Megan L.; Gudbjartsson, Daniel F.; Guénel, Pascal; Guo, Xiuqing; Haiman, Christopher A.; Hall, Per; Hamann, Ute; Henderson, Brian E.; Hocking, Lynne J.; Hofman, Albert; Homuth, Georg; Hooning, Maartje J.; Hopper, John L.; Hu, Frank B.; Huang, Jinyan; Humphreys, Keith; Hunter, David J.; Jakubowska, Anna; Jones, Samuel E.; Kabisch, Maria; Karasia, David; Knight, Julia A.; Kolcic, Ivana; Kooperberg, Charles; Kosma, Veli-Matti; Kriebel, Jennifer; Kristensen, Vessela; Lambrechts, Diether; Langenberg, Claudia; Li, Jingmei; Li, Xin; Lindström, Sara; Liu, Yongmei; Luan, Jian’an; Lubinski, Jan; Mägi, Reedik; Mannermaa, Arto; Manz, Judith; Margolin, Sara; Marten, Jonathan; Martin, Nicholas G.; Masciullo, Corrado; Meindl, Alfons; Michailidou, Kyriaki; Mihailov, Evelin; Milani, Lili; Milne, Roger L.; Müller-Nurasyid, Martina; Nalls, Michael; Neale, Ben M.; Nevanlinna, Heli; Neven, Patrick; Newman, Anne B.; Nordestgaard, Børge G.; Olson, Janet E.; Padmanabhan, Sandosh; Peterlongo, Paolo; Peters, Ulrike; Petersmann, Astrid; Peto, Julian; Pharoah, Paul D.P.; Pirastu, Nicola N.; Pirie, Ailith; Pistis, Giorgio; Polasek, Ozren; Porteous, David; Psaty, Bruce M.; Pylkäs, Katri; Radice, Paolo; Raffel, Leslie J.; Rivadeneira, Fernando; Rudan, Igor; Rudolph, Anja; Anja, Daniela; Sala, Cinzia F.; Sanna, Serena; Sawyer, Elinor J.; Schlessinger, David; Schmidt, Marjanka K.; Schmidt, Frank; Schmutzler, Rita K.; Schoemaker, Minouk J.; Scott, Robert A.; Seynaeve, Caroline M.; Simard, Jacques; Sorice, Rossella; Southey, Melissa C.; Stöckl, Doris; Strauch, Konstantin; Swerdlow, Anthony; Taylor, Kent D.; Thorsteinsdottir, Unnur; Toland, Amanda E.; Tomlinson, Ian; Truong, Thérèse; Tryggvadottir, Laufey; Turner, Stephen T.; Vozzi, Diego; Wang, Qin; Wellons, Melissa; Willemsen, Gonneke; Wilson, James F.; Winqvist, Robert; Wolffenbuttel, Bruce B.H.R.; Wright, Alan F.; Yannoukakos, Drakoulis; Zemunik, Tatijana; Zheng, Wei; Zygmunt, Marek; Bergmann, Sven; Boomsma, Dorret I.; Buring, Julie E.; Ferrucci, Luigi; Montgomery, Grant W.; Gudnason, Vilmundur; Spector, Tim D.; van Duijn, Cornelia M; Alizadeh, Behrooz Z.; Ciullo, Marina; Crisponi, Laura; Easton, Douglas F.; Gasparini, Paolo P.; Gieger, Christian; Harris, Tamara B.; Hayward, Caroline; Kardia, Sharon L.R.; Kraft, Peter; McKnight, Barbara; Metspalu, Andres; Morrison, Alanna C.; Reiner, Alex P.; Ridker, Paul M.; Rotter, Jerome I.; Toniolo, Daniela; Uitterlinden, André G.; Ulivi, Sheila; Völzke, Henry; Wareham, Nicholas J.; Weir, David R.; Yerges-Armstrong, Laura M.; Price, Alkes L.; Stefansson, Kari; Visser, Jenny A.; Ong, Ken K.; Chang-Claude, Jenny; Murabito, Joanne M.; Perry, John R.B.; Murray, Anna; Department of Epidemiology, Richard M. Fairbanks School of Public HealthMenopause timing has a substantial impact on infertility and risk of disease, including breast cancer, but the underlying mechanisms are poorly understood. We report a dual strategy in ∼70,000 women to identify common and low-frequency protein-coding variation associated with age at natural menopause (ANM). We identified 44 regions with common variants, including two regions harboring additional rare missense alleles of large effect. We found enrichment of signals in or near genes involved in delayed puberty, highlighting the first molecular links between the onset and end of reproductive lifespan. Pathway analyses identified major association with DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal effect of later ANM on breast cancer risk (∼6% increase in risk per year; P = 3 × 10(-14)), likely mediated by prolonged sex hormone exposure rather than DDR mechanisms.Item Parent-of-origin specific allelic associations among 106 genomic loci for age at menarche(Nature Publishing Group, 2014-10-02) Perry, John RB; Day, Felix; Elks, Cathy E.; Sulem, Patrick; Thompson, Deborah J.; Ferreira, Teresa; He, Chunyan; Chasman, Daniel I.; Esko, Tõnu; Thorleifsson, Gudmar; Albrecht, Eva; Ang, Wei Q.; Corre, Tanguy; Cousminer, Diana L.; Feenstra, Bjarke; Franceschini, Nora; Ganna, Andrea; Johnson, Andrew D.; Kjellqvist, Sanela; Lunetta, Kathryn L.; McMahon, George; Nolte, Ilja M.; Paternoster, Lavinia; Porcu, Eleonora; Smith, Albert V.; Stolk, Lisette; Teumer, Alexander; Tšernikova, Natalia; Tikkanen, Emmi; Ulivi, Sheila; Wagner, Erin K.; Amin, Najaf; Bierut, Laura J.; Byrne, Enda M.; Hottenga, Jouke-Jan; Koller, Daniel L.; Mangino, Massimo; Pers, Tune H.; Yerges-Armstrong, Laura M.; Zhao, Jing Hua; Andrulis, Irene L.; Anton-Culver, Hoda; Atsma, Femke; Bandinelli, Stefania; Beckmann, Matthias W.; Benitez, Javier; Blomqvist, Carl; Bojesen, Stig E.; Bolla, Manjeet K.; Bonanni, Bernardo; Brauch, Hiltrud; Brenner, Hermann; Buring, Julie E.; Chang-Claude, Jenny; Chanock, Stephen; Chen, Jinhui; Chenevix-Trench, Georgia; Collée, J. Margriet; Couch, Fergus J.; Couper, David; Coveillo, Andrea D.; Cox, Angela; Czene, Kamila; D’adamo, Adamo Pio; Smith, George Davey; De Vivo, Immaculata; Demerath, Ellen W.; Dennis, Joe; Devilee, Peter; Dieffenbach, Aida K.; Dunning, Alison M.; Eiriksdottir, Gudny; Eriksson, Johan G.; Fasching, Peter A.; Ferrucci, Luigi; Flesch-Janys, Dieter; Flyger, Henrik; Foroud, Tatiana; Franke, Lude; Garcia, Melissa E.; García-Closas, Montserrat; Geller, Frank; de Geus, Eco EJ; Giles, Graham G.; Gudbjartsson, Daniel F.; Gudnason, Vilmundur; Guénel, Pascal; Guo, Suiqun; Hall, Per; Hamann, Ute; Haring, Robin; Hartman, Catharina A.; Heath, Andrew C.; Hofman, Albert; Hooning, Maartje J.; Hopper, John L.; Hu, Frank B.; Hunter, David J.; Karasik, David; Kiel, Douglas P.; Knight, Julia A.; Kosma, Veli-Matti; Kutalik, Zoltan; Lai, Sandra; Lambrechts, Diether; Lindblom, Annika; Mägi, Reedik; Magnusson, Patrik K.; Mannermaa, Arto; Martin, Nicholas G.; Masson, Gisli; McArdle, Patrick F.; McArdle, Wendy L.; Melbye, Mads; Michailidou, Kyriaki; Mihailov, Evelin; Milani, Lili; Milne, Roger L.; Nevanlinna, Heli; Neven, Patrick; Nohr, Ellen A.; Oldehinkel, Albertine J.; Oostra, Ben A.; Palotie, Aarno; Peacock, Munro; Pedersen, Nancy L.; Peterlongo, Paolo; Peto, Julian; Pharoah, Paul DP; Postma, Dirkje S.; Pouta, Anneli; Pylkäs, Katri; Radice, Paolo; Ring, Susan; Rivadeneira, Fernando; Robino, Antonietta; Rose, Lynda M.; Rudolph, Anja; Salomaa, Veikko; Sanna, Serena; Schlessinger, David; Schmidt, Marjanka K.; Southey, Mellissa C.; Sovio, Ulla; Stampfer, Meir J.; Stöckl, Doris; Storniolo, Anna M.; Timpson, Nicholas J.; Tyrer, Jonathan; Visser, Jenny A.; Vollenweider, Peter; Völzke, Henry; Waeber, Gerard; Waldenberger, Melanie; Wallaschofski, Henri; Wang, Qin; Willemsen, Gonneke; Winqvist, Robert; Wolffenbuttel, Bruce HR; Wright, Margaret J.; Boomsma, Dorret I.; Econs, Michael J.; Khaw, Kay-Tee; Loos, Ruth JF; McCarthy, Mark I.; Montgomery, Grant W.; Rice, John P.; Streeten, Elizabeth A.; Thorsteinsdottir, Unnur; van Duijn, Cornelia M.; Alizadeh, Behrooz Z.; Bergmann, Sven; Boerwinkle, Eric; Boyd, Heather A.; Crisponi, Laura; Gasparini, Paolo; Gieger, Christian; Harris, Tamara B.; Ingelsson, Erik; Järvelin, Marjo-Riitta; Kraft, Peter; Lawlor, Debbie; Metspalu, Andres; Pennell, Craig E.; Ridker, Paul M.; Snieder, Harold; Sørensen, Thorkild IA; Spector, Tim D.; Strachan, David P.; Uitterlinden, André G.; Wareham, Nicholas J.; Widen, Elisabeth; Zygmunt, Marek; Murray, Anna; Easton, Douglas F.; Stefansson, Kari; Murabito, Joanne M.; Ong, Ken K.; Department of Epidemiology, Richard M. Fairbanks School of Public HealthAge at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation,, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P<5×10−8) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1/WDR25, MKRN3/MAGEL2 and KCNK9) demonstrating parent-of-origin specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and gamma-aminobutyric acid-B2 receptor signaling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.Item Teenage acne and cancer risk in U.S. women: A prospective cohort study(John Wiley & Sons, Inc., 2015-05-15) Zhang, Mingfeng; Qureshi, Abrar A.; Fortner, Renée T.; Hankinson, Susan E.; Wei, Qingyi; Wang, Li-E; Eliassen, A. Heather; Willett, Walter C.; Hunter, David J.; Han, Jiali; Department of Epidemiology, Richard M. Fairbanks School of Public HealthBACKGROUND: Acne reflects hormone imbalance and is a key component of several systemic diseases. We hypothesized that diagnosis of acne as a teenager might predict subsequent risk of hormone-related cancers. METHODS: We followed 99,128 female nurses in the Nurses' Health Study II cohort for 20 years (1989-2009) and used Cox proportional hazards models to estimate the hazard ratios (HRs) of 8 specific cancers (breast, thyroid, colorectal, ovarian, cervical, and endometrial cancers, melanoma, and non-Hodgkin lymphoma) for women with a history of severe teenage acne. RESULTS: After thoroughly adjusting for the previously known risk factors for each cancer, we found that among women with a history of severe teenage acne, the relative risk increased, with a multivariable-adjusted HR of 1.44 (95% confidence interval [CI], 1.03-2.01) for melanoma. We replicated this association in an independent melanoma case-control study of 930 cases and 1026 controls (multivariable-adjusted odds ratio, 1.27; 95% CI, 1.03-1.56). We also found that in both studies the individuals with teenage acne were more likely to have moles (52.7% vs 50.1%, P < .001 in the cohort study; and 55.2% vs 45.1%, P = .004 in the case-control study). CONCLUSIONS: Our findings suggest that a history of teenage acne might be a novel risk factor for melanoma independent from the known factors, which supports a need for continued investigation of these relationships.