Browsing by Author "Chang-Claude, Jenny"

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    Association of Body Mass Index With Colorectal Cancer Risk by Genome-Wide Variants
    (Oxford University Press, 2021) Campbell, Peter T.; Lin, Yi; Bien, Stephanie A.; Figueiredo, Jane C.; Harrison, Tabitha A.; Guinter, Mark A.; Berndt, Sonja I.; Brenner, Hermann; Chan, Andrew T.; Chang-Claude, Jenny; Gallinger, Steven J.; Gapstur, Susan M.; Giles, Graham G.; Giovannucci, Edward; Gruber, Stephen B.; Gunter, Marc; Hoffmeister, Michael; Jacobs, Eric J.; Jenkins, Mark A.; Marchand, Loic Le; Li, Li; McLaughlin, John R.; Murphy, Neil; Milne, Roger L.; Newcomb, Polly A.; Newton, Christina; Ogino, Shuji; Potter, John D.; Rennert, Gad; Rennert, Hedy S.; Robinson, Jennifer; Sakoda, Lori C.; Slattery, Martha L.; Song, Yiqing; White, Emily; Woods, Michael O.; Casey, Graham; Hsu, Li; Peters, Ulrike; Epidemiology, School of Public Health
    Background: Body mass index (BMI) is a complex phenotype that may interact with genetic variants to influence colorectal cancer risk. Methods: We tested multiplicative statistical interactions between BMI (per 5 kg/m2) and approximately 2.7 million single nucleotide polymorphisms with colorectal cancer risk among 14 059 colorectal cancer case (53.2% women) and 14 416 control (53.8% women) participants. All analyses were stratified by sex a priori. Statistical methods included 2-step (ie, Cocktail method) and single-step (ie, case-control logistic regression and a joint 2-degree of freedom test) procedures. All statistical tests were two-sided. Results: Each 5 kg/m2 increase in BMI was associated with higher risks of colorectal cancer, less so for women (odds ratio [OR] = 1.14, 95% confidence intervals [CI] = 1.11 to 1.18; P = 9.75 × 10-17) than for men (OR = 1.26, 95% CI = 1.20 to 1.32; P = 2.13 × 10-24). The 2-step Cocktail method identified an interaction for women, but not men, between BMI and a SMAD7 intronic variant at 18q21.1 (rs4939827; Pobserved = .0009; Pthreshold = .005). A joint 2-degree of freedom test was consistent with this finding for women (joint P = 2.43 × 10-10). Each 5 kg/m2 increase in BMI was more strongly associated with colorectal cancer risk for women with the rs4939827-CC genotype (OR = 1.24, 95% CI = 1.16 to 1.32; P = 2.60 × 10-10) than for women with the CT (OR = 1.14, 95% CI = 1.09 to 1.19; P = 1.04 × 10-8) or TT (OR = 1.07, 95% CI = 1.01 to 1.14; P = .02) genotypes. Conclusion: These results provide novel insights on a potential mechanism through which a SMAD7 variant, previously identified as a susceptibility locus for colorectal cancer, and BMI may influence colorectal cancer risk for women.
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    Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region
    (American Association for Cancer Research, 2022) Jordahl, Kristina M.; Shcherbina, Anna; Kim, Andre E.; Su, Yu-Ru; Lin, Yi; Wang, Jun; Qu, Conghui; Albanes, Demetrius; Arndt, Volker; Baurley, James W.; Berndt, Sonja I.; Bien, Stephanie A.; Bishop, D. Timothy; Bouras, Emmanouil; Brenner, Hermann; Buchanan, Daniel D.; Budiarto, Arif; Campbell, Peter T.; Carreras-Torres, Robert; Casey, Graham; Cenggoro, Tjeng Wawan; Chan, Andrew T.; Conti, David V.; Dampier, Christopher H.; Devall, Matthew A.; Díez-Obrero, Virginia; Dimou, Niki; Drew, David A.; Figueiredo, Jane C.; Gallinger, Steven; Giles, Graham G.; Gruber, Stephen B.; Gsur, Andrea; Gunter, Marc J.; Hampel, Heather; Harlid, Sophia; Harrison, Tabitha A.; Hidaka, Akihisa; Hoffmeister, Michael; Huyghe, Jeroen R.; Jenkins, Mark A.; Joshi, Amit D.; Keku, Temitope O.; Larsson, Susanna C.; Le Marchand, Loic; Lewinger, Juan Pablo; Li, Li; Mahesworo, Bharuno; Moreno, Victor; Morrison, John L.; Murphy, Neil; Nan, Hongmei; Nassir, Rami; Newcomb, Polly A.; Obón-Santacana, Mireia; Ogino, Shuji; Ose, Jennifer; Pai, Rish K.; Palmer, Julie R.; Papadimitriou, Nikos; Pardamean, Bens; Peoples, Anita R.; Pharoah, Paul D. P.; Platz, Elizabeth A.; Potter, John D.; Prentice, Ross L.; Rennert, Gad; Ruiz-Narvaez, Edward; Sakoda, Lori C.; Scacheri, Peter C.; Schmit, Stephanie L.; Schoen, Robert E.; Slattery, Martha L.; Stern, Mariana C.; Tangen, Catherine M.; Thibodeau, Stephen N.; Thomas, Duncan C.; Tian, Yu; Tsilidis, Konstantinos K.; Ulrich, Cornelia M.; van Duijnhoven, Franzel J. B.; Van Guelpen, Bethany; Visvanathan, Kala; Vodicka, Pavel; White, Emily; Wolk, Alicja; Woods, Michael O.; Wu, Anna H.; Zemlianskaia, Natalia; Chang-Claude, Jenny; Gauderman, W. James; Hsu, Li; Kundaje, Anshul; Peters, Ulrike; Epidemiology, School of Public Health
    Background: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer. Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1-28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models. Results: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose-response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype = 1.11; 95% confidence interval (CI), 1.06-1.17; OR for AA genotype = 1.22; 95% CI, 1.14-1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif. Conclusions: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region. Impact: The study identifies multifaceted evidence of a possible functional effect for rs1318920.
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    Exome chip meta-analysis fine maps causal variants and elucidates the genetic architecture of rare coding variants in smoking and alcohol use
    (Elsevier, 2018) Brazel, David M.; Jiang, Yu; Hughey, Jordan M.; Turcot, Valérie; Zhan, Xiaowei; Gong, Jian; Batini, Chiara; Weissenkampen, J. Dylan; Liu, MengZhen; Barnes, Daniel R.; Bertelsen, Sarah; Chou, Yi-Ling; Erzurumluoglu, A. Mesut; Faul, Jessica D.; Haessler, Jeff; Hammerschlag, Anke R.; Hsu, Chris; Kapoor, Manav; Lai, Dongbing; Le, Nhung; de Leeuw, Christiaan A.; Loukola, Anu; Mangino, Massimo; Melbourne, Carl A.; Pistis, Giorgio; Qaiser, Beenish; Rohde, Rebecca; Shao, Yaming; Stringham, Heather; Wetherill, Leah; Zhao, Wei; Agrawal, Arpana; Bierut, Laura; Chen, Chu; Eaton, Charles B.; Goate, Alison; Haiman, Christopher; Heath, Andrew; Iacono, William G.; Martin, Nicholas G.; Polderman, Tinca J.; Reiner, Alex; Rice, John; Schlessinger, David; Scholte, H. Steven; Smith, Jennifer A.; Tardif, Jean-Claude; Tindle, Hilary A.; van der Leij, Andries R.; Boehnke, Michael; Chang-Claude, Jenny; Cucca, Francesco; David, Sean P.; Foroud, Tatiana; Howson, Joanna M. M.; Kardia, Sharon L. R.; Kooperberg, Charles; Laakso, Markku; Lettre, Guillaume; Madden, Pamela; McGue, Matt; North, Kari; Posthuma, Danielle; Spector, Timothy; Stram, Daniel; Tobin, Martin D.; Weir, David R.; Kaprio, Jaakko; Abecasis, Gonçalo R.; Liu, Dajiang J.; Vrieze, Scott; Medical and Molecular Genetics, School of Medicine
    Background Smoking and alcohol use have been associated with common genetic variants in multiple loci. Rare variants within these loci hold promise in the identification of biological mechanisms in substance use. Exome arrays and genotype imputation can now efficiently genotype rare nonsynonymous and loss of function variants. Such variants are expected to have deleterious functional consequences, and contribute to disease risk. Methods We analyzed ∼250,000 rare variants from 16 independent studies genotyped with exome arrays and augmented this dataset with imputed data from the UK Biobank. Associations were tested for five phenotypes: cigarettes per day, pack years, smoking initiation, age of smoking initiation, and alcoholic drinks per week. We conducted stratified heritability analyses, single-variant tests, and gene-based burden tests of nonsynonymous/loss of function coding variants. We performed a novel fine mapping analysis to winnow the number of putative causal variants within associated loci. Results Meta-analytic sample sizes ranged from 152,348-433,216, depending on the phenotype. Rare coding variation explained 1.1-2.2% of phenotypic variance, reflecting 11%-18% of the total SNP heritability of these phenotypes. We identified 171 genome-wide associated loci across all phenotypes. Fine mapping identified putative causal variants with double base-pair resolution at 24 of these loci, and between 3 and 10 variants for 65 loci. 20 loci contained rare coding variants in the 95% credible intervals. Conclusions Rare coding variation significantly contributes to the heritability of smoking and alcohol use. Fine mapping GWAS loci identifies specific variants contributing to the biological etiology of substance use behavior.
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    Exploratory genome-wide interaction analysis of non-steroidal anti-inflammatory drugs and predicted gene expression on colorectal cancer risk
    (American Association for Cancer Research, 2020-09) Wang, Xiaoliang; Su, Yu-Ru; Petersen, Paneen S.; Bien, Stephanie; Schmit, Stephanie L.; Drew, David A.; Albanes, Demetrius; Berndt, Sonja I.; Brenner, Hermann; Campbell, Peter T.; Casey, Graham; Chang-Claude, Jenny; Gallinger, Steven J.; Gruber, Stephen B.; Haile, Robert W.; Harrison, Tabitha A.; Hoffmeister, Michael; Jacobs, Eric J.; Jenkins, Mark A.; Joshi, Amit D.; Li, Li; Lin, Yi; Lindor, Noralane M.; Le Marchand, Loïc; Martin, Vicente; Milne, Roger; Maclnnis, Robert; Moreno, Victor; Nan, Hongmei; Newcomb, Polly A.; Potter, John D.; Rennert, Gad; Rennert, Hedy; Slattery, Martha L.; Thibodeau, Steve N.; Weinstein, Stephanie J.; Woods, Michael O.; Chan, Andrew T.; White, Emily; Hsu, Li; Peters, Ulrike; Global Health, School of Public Health
    Background: Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk, but variations in gene expression levels may also modify the effect of NSAID use. Therefore, we tested interactions between NSAID use and predicted gene expression levels in relation to colorectal cancer risk. Methods: Genetically predicted gene expressions were tested for interaction with NSAID use on colorectal cancer risk among 19,258 colorectal cancer cases and 18,597 controls from 21 observational studies. A Mixed Score Test for Interactions (MiSTi) approach was used to jointly assess G × E effects which are modeled via fixed interaction effects of the weighted burden within each gene set (burden) and residual G × E effects (variance). A false discovery rate (FDR) at 0.2 was applied to correct for multiple testing. Results: Among the 4,840 genes tested, genetically predicted expression levels of four genes modified the effect of any NSAID use on colorectal cancer risk, including DPP10 (PG×E = 1.96 × 10-4), KRT16 (PG×E = 2.3 × 10-4), CD14 (PG×E = 9.38 × 10-4), and CYP27A1 (PG×E = 1.44 × 10-3). There was a significant interaction between expression level of RP11-89N17 and regular use of aspirin only on colorectal cancer risk (PG×E = 3.23 × 10-5). No interactions were observed between predicted gene expression and nonaspirin NSAID use at FDR < 0.2. Conclusions: By incorporating functional information, we discovered several novel genes that interacted with NSAID use.
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    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 Health
    Background: 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.
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    Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk
    (Oxford, 2022) Tian, Yu; Kim, Andre E.; Bien, Stephanie A.; Lin, Yi; Qu, Conghui; Harrison, Tabitha A.; Carreras-Torres, Robert; Díez-Obrero, Virginia; Dimou, Niki; Drew , David A.; Hidaka, Akihisa; Huyghe, Jeroen R.; Jordahl, Kristina M.; Morrison , John; Murphy, Neil; Obón-Santacana, Mireia; Ulrich, Cornelia M.; Ose, Jennifer; Peoples, Anita R.; Ruiz-Narvaez, Edward A.; Shcherbina, Anna; Stern , Mariana C.; Su, Yu-Ru; van Duijnhoven, Franzel J. B.; Arndt, Volker; Baurley, James W.; Berndt, Sonja I.; Bishop, D. Timothy; Brenner, Hermann; Buchanan, Daniel D.; Chan, Andrew T.; Figueiredo, Jane C.; Gallinger, Steven; Gruber, Stephen B.; Harlid, Sophia; Hoffmeister, Michael; Jenkins, Mark A.; Joshi, Amit D.; Keku, Temitope O.; Larsson, Susanna C.; Marchand, Loic Le; Li, Li; Giles, Graham G.; Milne, Roger L.; Nan, Hongmei; Nassir, Rami; Ogino, Shuji; Budiarto, Arif; Platz, Elizabeth A.; Potter, John D.; Prentice, Ross L.; Rennert, Gad; Sakoda, Lori C.; Schoen, Robert E.; Slattery, Martha L.; Thibodeau, Stephen N.; Van Guelpen, Bethany; Visvanathan, Kala; White, Emily; Wolk, Alicja; Woods, Michael O.; Wu, Anna H.; Campbell, Peter T.; Casey, Graham; Conti, David V.; Gunter, Marc J.; Kundaje, Anshul; Lewinger, Juan Pablo; Moreno, Victor; Newcomb, Polly A.; Pardamean, Bens; Thomas, Duncan C.; Tsilidis, Konstantinos K.; Peters, Ulrike; Gauderman, W. James; Hsu, Li; Chang-Claude, Jenny; Global Health, School of Public Health
    Background: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. Methods: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2– or 3–degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. Results: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2–degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10−4). Conclusion: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.
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    Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk
    (Nature, 2017) Day, Felix R.; Thompson, Deborah J.; Helgason, Hannes; Chasman, Daniel I.; Finucane, Hilary; Sulem, Patrick; Ruth, Katherine S.; Whalen, Sean; Sarkar, Abhishek K.; Albrecht, Eva; Altmaier, Elisabeth; Amini, Marzyeh; Barbieri, Caterina M.; Boutin, Thibaud; Campbell, Archie; Demerath, Ellen; Giri, Ayush; He, Chunyan; Hottenga, Jouke J.; Karlsson, Robert; Kolchic, Ivana; Loh, Po-Ru; Lunetta, Kathryn L.; Mangino, Massimo; Marco, Brumat; McMahon, George; Medland, Sarah E.; Nolte, Ilja M.; Noordam, Raymond; Nutile, Teresa; Paternoster, Lavinia; Perjakova, Natalia; Porcu, Eleonora; Rose, Lynda M.; Schraut, Katharina E.; Segrè, Ayellet V.; Smith, Albert V.; Stolk, Lisette; Teumer, Alexander; Andrulis, Irene L.; Bandinelli, Stefania; Beckmann, Matthias W.; Benitez, Javier; Bergmann, Sven; Bochud, Murielle; Boerwinkle, Eric; Bojesen, Stig E.; Bolla, Manjeet K.; Brand, Judith S.; Brauch, Hiltrud; Brenner, Hermann; Broer, Linda; Brüning, Thomas; Buring, Julie E.; Campbell, Harry; Catamo, Eulalia; Chanock, Stephen; Chenevix-Trench, Georgia; Corre, Tanguy; Couch, Fergus J.; Cousminer, Diana L.; Cox, Angela; Crisponi, Laura; Czene, Kamila; Davey-Smith, George; de Geus, Eco J. C. N.; de Mutsert, Renée; De Vivo, Immaculata; Dennis, Joe; Devilee, Peter; dos-Santos-Silva, Isabel; Dunning, Alison M.; Eriksson, Johan G.; Fasching, Peter A.; Fernández-Rhodes, Lindsay; Ferrucci, Luigi; Flesch-Janys, Dieter; Franke, Lude; Gabrielson, Marike; Gandin, Ilaria; Giles, Graham G.; Grallert, Harald; Gudbjartsson, Daniel F.; Guéne, Pascal; Hall, Perr; Hallberg, Emily; Hamann, Ute; Harris, Tamara B.; Hartman, Catharina A.; Heiss, Gerardo; Hooning, Maartje J.; Hopper, John L.; Hu, Frank; Hunter, David; Ikram, M. Arfan; Im, Hae Kyung; Järvelin, Marjo-Riitta; Joshi, Peter K.; Karasik, David; Kutalik, Zoltan; LaChance, Genevieve; Lambrechts, Diether; Langenberg, Claudia; Launer, Lenore J.; Laven, Joop S. E.; Lenarduzzi, Stefania; Li, Jingmei; Lind, Penelope A.; Lindstrom, Sara; Liu, YongMei; Luan, Jian'an; Mannermaa, Arto; Mbarek, Hamdi; McCarthy, Mark I.; Meisinger, Christa; Meitinger, Thomas; Menni, Cristina; Metspalu, Andres; Michailidou, Kyriaki; Milani, Lili; Milne, Roger L.; Montgomery, Grant W.; Mulligan, Anna M.; Nalls, Mike A.; Navarro, Pau; Nevanlinna, Heli; Nyholt, Dale R.; Oldehinkel, Albertine J.; O'Mara, Tracy A.; Padmanabhan, Sandosh; Palotie, Aarno; Pedersen, Nancy; Peters, Annette; Peto, Julian; Pharoah, Paul D. P.; Pouta, Anneli; Radice, Paolo; Rahman, Iffat; Ring, Susan M.; Robino, Antonietta; Rosendaal, Frits R.; Rudan, Igor; Rueedi, Rico; Ruggiero, Daniela; Sala, Cinzia F.; Schmidt, Marjanka K.; Scott, Robert A.; Shah, Mitul; Sorice, Rossella; Southey, Melissa C.; Sovio, Ulla; Stampfer, Meir; Steri, Maristella; Strauch, Konstantin; Tanaka, Toshiko; Tikkanen, Emmi; Timpson, Nicholas J.; Traglia, Michela; Truong, Thérèse; Tyrer, Jonathan P.; Uitterlinden, André G.; Edwards, Digna R. Velez; Vitart, Veronique; Völker, Uwe; Vollenweider, Peter; Wang, Qin; Widen, Elisabeth; van Dijk, Ko Willems; Willemsen, Gonneke; Winqvist, Robert; Wolffenbuttel, Bruce H. R.; Zhao, Jing Hua; Zoledziewska, Magdalena; Zygmunt, Marek; Alizadeh, Behrooz Z.; Boomsma, Dorret I.; Ciullo, Marina; Cucca, Francesco; Esko, Tõnu; Franceschini, Nora; Gieger, Christian; Gudnason, Vilmundur; Hayward, Caroline; Kraft, Peter; Lawlor, Debbie A.; Magnusson, Patrik K. E.; Martin, Nicholas G.; Mook-Kanamori, Dennis O.; Nohr, Ellen A.; Polasek, Ozren; Porteous, David; Price, Alkes L.; Ridker, Paul M.; Snieder, Harold; Spector, Tim D.; Stöckl, Doris; Toniolo, Daniela; Ulivi, Sheila; Visser, Jenny A.; Völzke, Henry; Wareham, Nicholas J.; Wilson, James F.; Spurdle, Amanda B.; Thorsteindottir, Unnur; Pollard, Katherine S.; Easton, Douglas F.; Tung, Joyce Y.; Chang-Claude, Jenny; Hinds, David; Murray, Anna; Murabito, Joanne M.; Stefansson, Kari; Ong, Ken K.; Perry, John R. B.; The Lifelines Cohort Study; The InterAct Consortium; kConFab/AOCS Investigators; Endometrial Cancer Association Consortium; Ovarian Cancer Association Consortium; PRACTICAL consortium; Epidemiology, School of Public Health
    The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project–imputed genotype data in up to ∼370,000 women, we identify 389 independent signals (P < 5 × 10−8) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ∼7.4% of the population variance in age at menarche, corresponding to ∼25% of the estimated heritability. We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.
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    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 Health
    Menopause 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.
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    Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
    (Springer Nature, 2019-01-07) Erzurumluoglu, A. Mesut; Liu, Mengzhen; Jackson, Victoria E.; Barnes, Daniel R.; Datta, Gargi; Melbourne, Carl A.; Young, Robin; Batini, Chiara; Surendran, Praveen; Jiang, Tao; Adnan, Sheikh Daud; Afaq, Saima; Agrawal, Arpana; Altmaier, Elisabeth; Antoniou, Antonis C.; Asselbergs, Folkert W.; Baumbach, Clemens; Bierut, Laura; Bertelsen, Sarah; Boehnke, Michael; Bots, Michiel L.; Brazel, David M.; Chambers, John C.; Chang-Claude, Jenny; Chen, Chu; Corley, Janie; Chou, Yi-Ling; David, Sean P.; Boer, Rudolf A. de; Leeuw, Christiaan A. de; Dennis, Joe G.; Dominiczak, Anna F.; Dunning, Alison M.; Easton, Douglas F.; Eaton, Charles; Elliott, Paul; Evangelou, Evangelos; Faul, Jessica D.; Foroud, Tatiana; Goate, Alison; Gong, Jian; Grabe, Hans J.; Haessler, Jeff; Haiman, Christopher; Hallmans, Göran; Hammerschlag, Anke R.; Harris, Sarah E.; Hattersley, Andrew; Heath, Andrew; Hsu, Chris; Iacono, William G.; Kanoni, Stavroula; Kapoor, Manav; Kaprio, Jaakko; Kardia, Sharon L.; Karpe, Fredrik; Kontto, Jukka; Kooner, Jaspal S.; Kooperberg, Charles; Kuulasmaa, Kari; Laakso, Markku; Lai, Dongbing; Langenberg, Claudia; Le, Nhung; Lettre, Guillaume; Loukola, Anu; Luan, Jian’an; Madden, Pamela A. F.; Mangino, Massimo; Marioni, Riccardo E.; Marouli, Eirini; Marten, Jonathan; Martin, Nicholas G.; McGue, Matt; Michailidou, Kyriaki; Mihailov, Evelin; Moayyeri, Alireza; Moitry, Marie; Müller-Nurasyid, Martina; Naheed, Aliya; Nauck, Matthias; Neville, Matthew J.; Nielsen, Sune Fallgaard; North, Kari; Perola, Markus; Pharoah, Paul D. P.; Pistis, Giorgio; Polderman, Tinca J.; Posthuma, Danielle; Poulter, Neil; Qaiser, Beenish; Rasheed, Asif; Reiner, Alex; Renström, Frida; Rice, John; Rohde, Rebecca; Rolandsson, Olov; Samani, Nilesh J.; Samuel, Maria; Schlessinger, David; Scholte, Steven H.; Scott, Robert A.; Sever, Peter; Shao, Yaming; Shrine, Nick; Smith, Jennifer A.; Starr, John M.; Stirrups, Kathleen; Stram, Danielle; Stringham, Heather M.; Tachmazidou, Ioanna; Tardif, Jean-Claude; Thompson, Deborah J.; Tindle, Hilary A.; Tragante, Vinicius; Trompet, Stella; Turcot, Valerie; Tyrrell, Jessica; Vaartjes, Ilonca; Leij, Andries R. van der; Meer, Peter van der; Varga, Tibor V.; Verweij, Niek; Völzke, Henry; Wareham, Nicholas J.; Warren, Helen R.; Weir, David R.; Weiss, Stefan; Wetherill, Leah; Yaghootkar, Hanieh; Yavas, Ersin; Jiang, Yu; Chen, Fang; Zhan, Xiaowei; Zhang, Weihua; Zhao, Wei; Zhao, Wei; Zhou, Kaixin; Amouyel, Philippe; Blankenberg, Stefan; Caulfield, Mark J.; Chowdhury, Rajiv; Cucca, Francesco; Deary, Ian J.; Deloukas, Panos; Angelantonio, Emanuele Di; Ferrario, Marco; Ferrières, Jean; Franks, Paul W.; Frayling, Tim M.; Frossard, Philippe; Hall, Ian P.; Hayward, Caroline; Jansson, Jan-Håkan; Jukema, J. Wouter; Kee, Frank; Männistö, Satu; Metspalu, Andres; Munroe, Patricia B.; Nordestgaard, Børge Grønne; Palmer, Colin N. A.; Salomaa, Veikko; Sattar, Naveed; Spector, Timothy; Strachan, David Peter; Harst, Pim van der; Zeggini, Eleftheria; Saleheen, Danish; Butterworth, Adam S.; Wain, Louise V.; Abecasis, Goncalo R.; Danesh, John; Tobin, Martin D.; Vrieze, Scott; Liu, Dajiang J.; Howson, Joanna M. M.; Medical and Molecular Genetics, School of Medicine
    Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10−8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10−8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10−3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
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    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 Health
    Age 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.