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1.  The known genetic loci for telomere length may be involved in the modification of telomeres length after birth 
Scientific Reports  2016;6:38729.
Telomere length varies considerably among individuals. It is highly heritable and decreases with ageing or ageing related diseases. Recently, genome-wide association studies (GWAS) have identified several genetic loci associated with telomere length in adults. However, it is unclear whether these loci represent the genetic basis of telomere length or determine the individual susceptibility to shortening during growth process. Using DNA extracted from peripheral and cord blood of 444 mother-newborn pairs from a Chinese population, we measured relative telomere length (RTL) and genotyped eight known telomere length related variants that were initially identified in populations of European descent. We observed the T allele of rs10936599 and the T allele of rs2736100 were norminally associated with shorter RTL (P = 0.041 and 0.046, respectively) in maternal samples. Furthermore, the Weighted genetic score (WGS) of eight variants was significantly associated with RTL in maternal samples (R2 = 0.012, P = 0.025). However, we didn’t detect any significant associations for any individual variant or the combined WGS with RTL in newborns. These findings didn’t support the hypothesis that telomere length related loci may affect telomere length at birth, and we suggested that these loci may play a role in telomere length modification during life course.
doi:10.1038/srep38729
PMCID: PMC5143977  PMID: 27929092
2.  Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types 
Sampson, Joshua N. | Wheeler, William A. | Yeager, Meredith | Panagiotou, Orestis | Wang, Zhaoming | Berndt, Sonja I. | Lan, Qing | Abnet, Christian C. | Amundadottir, Laufey T. | Figueroa, Jonine D. | Landi, Maria Teresa | Mirabello, Lisa | Savage, Sharon A. | Taylor, Philip R. | Vivo, Immaculata De | McGlynn, Katherine A. | Purdue, Mark P. | Rajaraman, Preetha | Adami, Hans-Olov | Ahlbom, Anders | Albanes, Demetrius | Amary, Maria Fernanda | An, She-Juan | Andersson, Ulrika | Andriole, Gerald | Andrulis, Irene L. | Angelucci, Emanuele | Ansell, Stephen M. | Arici, Cecilia | Armstrong, Bruce K. | Arslan, Alan A. | Austin, Melissa A. | Baris, Dalsu | Barkauskas, Donald A. | Bassig, Bryan A. | Becker, Nikolaus | Benavente, Yolanda | Benhamou, Simone | Berg, Christine | Van Den Berg, David | Bernstein, Leslie | Bertrand, Kimberly A. | Birmann, Brenda M. | Black, Amanda | Boeing, Heiner | Boffetta, Paolo | Boutron-Ruault, Marie-Christine | Bracci, Paige M. | Brinton, Louise | Brooks-Wilson, Angela R. | Bueno-de-Mesquita, H. Bas | Burdett, Laurie | Buring, Julie | Butler, Mary Ann | Cai, Qiuyin | Cancel-Tassin, Geraldine | Canzian, Federico | Carrato, Alfredo | Carreon, Tania | Carta, Angela | Chan, John K. C. | Chang, Ellen T. | Chang, Gee-Chen | Chang, I-Shou | Chang, Jiang | Chang-Claude, Jenny | Chen, Chien-Jen | Chen, Chih-Yi | Chen, Chu | Chen, Chung-Hsing | Chen, Constance | Chen, Hongyan | Chen, Kexin | Chen, Kuan-Yu | Chen, Kun-Chieh | Chen, Ying | Chen, Ying-Hsiang | Chen, Yi-Song | Chen, Yuh-Min | Chien, Li-Hsin | Chirlaque, María-Dolores | Choi, Jin Eun | Choi, Yi Young | Chow, Wong-Ho | Chung, Charles C. | Clavel, Jacqueline | Clavel-Chapelon, Françoise | Cocco, Pierluigi | Colt, Joanne S. | Comperat, Eva | Conde, Lucia | Connors, Joseph M. | Conti, David | Cortessis, Victoria K. | Cotterchio, Michelle | Cozen, Wendy | Crouch, Simon | Crous-Bou, Marta | Cussenot, Olivier | Davis, Faith G. | Ding, Ti | Diver, W. Ryan | Dorronsoro, Miren | Dossus, Laure | Duell, Eric J. | Ennas, Maria Grazia | Erickson, Ralph L. | Feychting, Maria | Flanagan, Adrienne M. | Foretova, Lenka | Fraumeni, Joseph F. | Freedman, Neal D. | Beane Freeman, Laura E. | Fuchs, Charles | Gago-Dominguez, Manuela | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | García-Closas, Reina | Gascoyne, Randy D. | Gastier-Foster, Julie | Gaudet, Mia M. | Gaziano, J. Michael | Giffen, Carol | Giles, Graham G. | Giovannucci, Edward | Glimelius, Bengt | Goggins, Michael | Gokgoz, Nalan | Goldstein, Alisa M. | Gorlick, Richard | Gross, Myron | Grubb, Robert | Gu, Jian | Guan, Peng | Gunter, Marc | Guo, Huan | Habermann, Thomas M. | Haiman, Christopher A. | Halai, Dina | Hallmans, Goran | Hassan, Manal | Hattinger, Claudia | He, Qincheng | He, Xingzhou | Helzlsouer, Kathy | Henderson, Brian | Henriksson, Roger | Hjalgrim, Henrik | Hoffman-Bolton, Judith | Hohensee, Chancellor | Holford, Theodore R. | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Horn-Ross, Pamela L. | Hosain, G. M. Monawar | Hosgood, H. Dean | Hsiao, Chin-Fu | Hu, Nan | Hu, Wei | Hu, Zhibin | Huang, Ming-Shyan | Huerta, Jose-Maria | Hung, Jen-Yu | Hutchinson, Amy | Inskip, Peter D. | Jackson, Rebecca D. | Jacobs, Eric J. | Jenab, Mazda | Jeon, Hyo-Sung | Ji, Bu-Tian | Jin, Guangfu | Jin, Li | Johansen, Christoffer | Johnson, Alison | Jung, Yoo Jin | Kaaks, Rudolph | Kamineni, Aruna | Kane, Eleanor | Kang, Chang Hyun | Karagas, Margaret R. | Kelly, Rachel S. | Khaw, Kay-Tee | Kim, Christopher | Kim, Hee Nam | Kim, Jin Hee | Kim, Jun Suk | Kim, Yeul Hong | Kim, Young Tae | Kim, Young-Chul | Kitahara, Cari M. | Klein, Alison P. | Klein, Robert J. | Kogevinas, Manolis | Kohno, Takashi | Kolonel, Laurence N. | Kooperberg, Charles | Kricker, Anne | Krogh, Vittorio | Kunitoh, Hideo | Kurtz, Robert C. | Kweon, Sun-Seog | LaCroix, Andrea | Lawrence, Charles | Lecanda, Fernando | Lee, Victor Ho Fun | Li, Donghui | Li, Haixin | Li, Jihua | Li, Yao-Jen | Li, Yuqing | Liao, Linda M. | Liebow, Mark | Lightfoot, Tracy | Lim, Wei-Yen | Lin, Chien-Chung | Lin, Dongxin | Lindstrom, Sara | Linet, Martha S. | Link, Brian K. | Liu, Chenwei | Liu, Jianjun | Liu, Li | Ljungberg, Börje | Lloreta, Josep | Lollo, Simonetta Di | Lu, Daru | Lund, Eiluv | Malats, Nuria | Mannisto, Satu | Marchand, Loic Le | Marina, Neyssa | Masala, Giovanna | Mastrangelo, Giuseppe | Matsuo, Keitaro | Maynadie, Marc | McKay, James | McKean-Cowdin, Roberta | Melbye, Mads | Melin, Beatrice S. | Michaud, Dominique S. | Mitsudomi, Tetsuya | Monnereau, Alain | Montalvan, Rebecca | Moore, Lee E. | Mortensen, Lotte Maxild | Nieters, Alexandra | North, Kari E. | Novak, Anne J. | Oberg, Ann L. | Offit, Kenneth | Oh, In-Jae | Olson, Sara H. | Palli, Domenico | Pao, William | Park, In Kyu | Park, Jae Yong | Park, Kyong Hwa | Patiño-Garcia, Ana | Pavanello, Sofia | Peeters, Petra H. M. | Perng, Reury-Perng | Peters, Ulrike | Petersen, Gloria M. | Picci, Piero | Pike, Malcolm C. | Porru, Stefano | Prescott, Jennifer | Prokunina-Olsson, Ludmila | Qian, Biyun | Qiao, You-Lin | Rais, Marco | Riboli, Elio | Riby, Jacques | Risch, Harvey A. | Rizzato, Cosmeri | Rodabough, Rebecca | Roman, Eve | Roupret, Morgan | Ruder, Avima M. | de Sanjose, Silvia | Scelo, Ghislaine | Schned, Alan | Schumacher, Fredrick | Schwartz, Kendra | Schwenn, Molly | Scotlandi, Katia | Seow, Adeline | Serra, Consol | Serra, Massimo | Sesso, Howard D. | Setiawan, Veronica Wendy | Severi, Gianluca | Severson, Richard K. | Shanafelt, Tait D. | Shen, Hongbing | Shen, Wei | Shin, Min-Ho | Shiraishi, Kouya | Shu, Xiao-Ou | Siddiq, Afshan | Sierrasesúmaga, Luis | Sihoe, Alan Dart Loon | Skibola, Christine F. | Smith, Alex | Smith, Martyn T. | Southey, Melissa C. | Spinelli, John J. | Staines, Anthony | Stampfer, Meir | Stern, Marianna C. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael S. | Su, Jian | Su, Wu-Chou | Sund, Malin | Sung, Jae Sook | Sung, Sook Whan | Tan, Wen | Tang, Wei | Tardón, Adonina | Thomas, David | Thompson, Carrie A. | Tinker, Lesley F. | Tirabosco, Roberto | Tjønneland, Anne | Travis, Ruth C. | Trichopoulos, Dimitrios | Tsai, Fang-Yu | Tsai, Ying-Huang | Tucker, Margaret | Turner, Jenny | Vajdic, Claire M. | Vermeulen, Roel C. H. | Villano, Danylo J. | Vineis, Paolo | Virtamo, Jarmo | Visvanathan, Kala | Wactawski-Wende, Jean | Wang, Chaoyu | Wang, Chih-Liang | Wang, Jiu-Cun | Wang, Junwen | Wei, Fusheng | Weiderpass, Elisabete | Weiner, George J. | Weinstein, Stephanie | Wentzensen, Nicolas | White, Emily | Witzig, Thomas E. | Wolpin, Brian M. | Wong, Maria Pik | Wu, Chen | Wu, Guoping | Wu, Junjie | Wu, Tangchun | Wu, Wei | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xiang, Yong-Bing | Xu, Jun | Xu, Ping | Yang, Pan-Chyr | Yang, Tsung-Ying | Ye, Yuanqing | Yin, Zhihua | Yokota, Jun | Yoon, Ho-Il | Yu, Chong-Jen | Yu, Herbert | Yu, Kai | Yuan, Jian-Min | Zelenetz, Andrew | Zeleniuch-Jacquotte, Anne | Zhang, Xu-Chao | Zhang, Yawei | Zhao, Xueying | Zhao, Zhenhong | Zheng, Hong | Zheng, Tongzhang | Zheng, Wei | Zhou, Baosen | Zhu, Meng | Zucca, Mariagrazia | Boca, Simina M. | Cerhan, James R. | Ferri, Giovanni M. | Hartge, Patricia | Hsiung, Chao Agnes | Magnani, Corrado | Miligi, Lucia | Morton, Lindsay M. | Smedby, Karin E. | Teras, Lauren R. | Vijai, Joseph | Wang, Sophia S. | Brennan, Paul | Caporaso, Neil E. | Hunter, David J. | Kraft, Peter | Rothman, Nathaniel | Silverman, Debra T. | Slager, Susan L. | Chanock, Stephen J. | Chatterjee, Nilanjan
Background:
Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.
Methods:
Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.
Results:
GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl 2, on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.
Conclusion:
Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
doi:10.1093/jnci/djv279
PMCID: PMC4806328  PMID: 26464424
3.  Identification of lung cancer histology-specific variants applying Bayesian framework variant prioritization approaches within the TRICL and ILCCO consortia 
Brenner, Darren R. | Amos, Christopher I. | Brhane, Yonathan | Timofeeva, Maria N. | Caporaso, Neil | Wang, Yufei | Christiani, David C. | Bickeböller, Heike | Yang, Ping | Albanes, Demetrius | Stevens, Victoria L. | Gapstur, Susan | McKay, James | Boffetta, Paolo | Zaridze, David | Szeszenia-Dabrowska, Neonilia | Lissowska, Jolanta | Rudnai, Peter | Fabianova, Eleonora | Mates, Dana | Bencko, Vladimir | Foretova, Lenka | Janout, Vladimir | Krokan, Hans E. | Skorpen, Frank | Gabrielsen, Maiken E. | Vatten, Lars | Njølstad, Inger | Chen, Chu | Goodman, Gary | Lathrop, Mark | Vooder, Tõnu | Välk, Kristjan | Nelis, Mari | Metspalu, Andres | Broderick, Peter | Eisen, Timothy | Wu, Xifeng | Zhang, Di | Chen, Wei | Spitz, Margaret R. | Wei, Yongyue | Su, Li | Xie, Dong | She, Jun | Matsuo, Keitaro | Matsuda, Fumihiko | Ito, Hidemi | Risch, Angela | Heinrich, Joachim | Rosenberger, Albert | Muley, Thomas | Dienemann, Hendrik | Field, John K. | Raji, Olaide | Chen, Ying | Gosney, John | Liloglou, Triantafillos | Davies, Michael P.A. | Marcus, Michael | McLaughlin, John | Orlow, Irene | Han, Younghun | Li, Yafang | Zong, Xuchen | Johansson, Mattias | Liu, Geoffrey | Tworoger, Shelley S. | Le Marchand, Loic | Henderson, Brian E. | Wilkens, Lynne R. | Dai, Juncheng | Shen, Hongbing | Houlston, Richard S. | Landi, Maria T. | Brennan, Paul | Hung, Rayjean J.
Carcinogenesis  2015;36(11):1314-1326.
Summary
Using information including variant physical and functional properties, we applied multiple variant prioritization techniques in 13 lung cancer genomic studies. We identified and validated novel regions highlighting the utility of using prioritization analyses to search for robust signals.
Large-scale genome-wide association studies (GWAS) have likely uncovered all common variants at the GWAS significance level. Additional variants within the suggestive range (0.0001> P > 5×10−8) are, however, still of interest for identifying causal associations. This analysis aimed to apply novel variant prioritization approaches to identify additional lung cancer variants that may not reach the GWAS level. Effects were combined across studies with a total of 33456 controls and 6756 adenocarcinoma (AC; 13 studies), 5061 squamous cell carcinoma (SCC; 12 studies) and 2216 small cell lung cancer cases (9 studies). Based on prior information such as variant physical properties and functional significance, we applied stratified false discovery rates, hierarchical modeling and Bayesian false discovery probabilities for variant prioritization. We conducted a fine mapping analysis as validation of our methods by examining top-ranking novel variants in six independent populations with a total of 3128 cases and 2966 controls. Three novel loci in the suggestive range were identified based on our Bayesian framework analyses: KCNIP4 at 4p15.2 (rs6448050, P = 4.6×10−7) and MTMR2 at 11q21 (rs10501831, P = 3.1×10−6) with SCC, as well as GAREM at 18q12.1 (rs11662168, P = 3.4×10−7) with AC. Use of our prioritization methods validated two of the top three loci associated with SCC (P = 1.05×10−4 for KCNIP4, represented by rs9799795) and AC (P = 2.16×10−4 for GAREM, represented by rs3786309) in the independent fine mapping populations. This study highlights the utility of using prior functional data for sequence variants in prioritization analyses to search for robust signals in the suggestive range.
doi:10.1093/carcin/bgv128
PMCID: PMC4635669  PMID: 26363033
4.  Association of KCTD10, MVK, and MMAB polymorphisms with dyslipidemia and coronary heart disease in Han Chinese population 
Background
Several genome-wide association studies have discovered novel loci at chromosome 12q24, which includes mevalonate kinase (MVK), methylmalonic aciduria (cobalamin deficiency) cbIB type (MMAB), and potassium channel tetramerization domain-containing 10 (KCTD10), all of which influence HDL-cholesterol concentrations. However, there are few reports on the associations between these polymorphisms and HDL-C concentrations in Chinese population. This study aimed to evaluate the associations between functional polymorphisms in three genes (MVK, MMAB and KCTD10) and HDL-C concentrations, as well as coronary heart disease (CHD) susceptibility in Chinese individuals.
Methods
We systematically selected and genotyped 18 potentially functional polymorphisms in MVK, MMAB and KCTD10 by using the TaqMan OpenArray Genotyping System in a Chinese population including 399 dyslipidemia cases, 697 CHD cases and 465 controls. Multivariate logistic regression analyses were performed to estimate the relationship between the genotypes and dyslipidemia, CHD risk with adjustment of relevant confounders.
Results
Among six polymorphisms showing significant associations with dyslipidemia, the minor alleles of rs11066782 in KCTD10, rs11613718 in KCTD10 and rs11067233 in MMAB were significantly associated with a decreased risk of CHD (additive model: OR = 0.71, 95 % CI = 0.53–0.97, P = 0.029 for rs11066782; OR = 0.73, 95 % CI = 0.54–0.99, P = 0.044 for rs11613718 and OR = 0.57, 95 % CI = 0.40–0.80, P = 0.001 for rs11067233). Further combined analysis showed that individuals carrying “3-4” favorable alleles presented a 62 % (OR = 0.38, 95 % CI = 0.21–0.66) decreased risk of CHD compared with those carrying “0–2” favorable alleles.
Conclusions
These findings suggest that rs11066782 in KCTD10, rs11613718 in KCTD10 and rs11067233 in MMAB may contribute to the susceptibility of CHD by altering plasma HDL-C levels in Han Chinese.
Electronic supplementary material
The online version of this article (doi:10.1186/s12944-016-0348-7) contains supplementary material, which is available to authorized users.
doi:10.1186/s12944-016-0348-7
PMCID: PMC5050677  PMID: 27716295
MVK; MMAB; KCTD10; HDL-C; Coronary heart disease
5.  Y chromosome haplogroups based genome-wide association study pinpoints revelation for interactions on non-obstructive azoospermia 
Scientific Reports  2016;6:33363.
The Y chromosome has high genetic variability with low rates of parallel and back mutations, which make up the most informative haplotyping system. To examine whether Y chromosome haplogroups (Y-hgs) could modify the effects of autosomal variants on non-obstructive azoospermia (NOA), based on our previous genome-wide association study (GWAS), we conducted a genetic interaction analysis in GWAS subjects. Logistic regression analysis demonstrated a protective effect of Y-hg O3e* on NOA. Then, we explored the potential interaction between Y-hg O3e* and autosomal variants. Our results demonstrated that there was a suggestively significant interaction between Y-hg O3e* and rs11135484 on NOA (Pinter = 9.89 × 10−5). Bioinformatic analysis revealed that genes annotated by significant single nucleotide polymorphisms (SNPs) were mainly enriched in immunological pathways. This is the first study of interactions between Y-hgs and autosomal variants on a genome-wide scale, which addresses the missing heritability in spermatogenic impairment and sheds new light on the pathogenesis of male infertility.
doi:10.1038/srep33363
PMCID: PMC5024297  PMID: 27628680
6.  Risk assessment model for invasive breast cancer in Hong Kong women 
Medicine  2016;95(32):e4515.
Supplemental Digital Content is available in the text
Abstract
No risk assessment tool is available for identifying high risk population of breast cancer (BCa) in Hong Kong. A case–control study including 918 BCa cases and 923 controls was used to develop the risk assessment model among Hong Kong Chinese women.
Each participant received an in-depth interview to obtain their lifestyle and environmental risk factors. Least absolute shrinkage and selection operator (LASSO) selection model was used to select the optimal risk factors (LASSO-model). A risk score system was constructed to evaluate the cumulative effects of selected factors. Bootstrap simulation was used to test the internal validation of the model. Model performance was evaluated by receiver-operator characteristic curves and the area under the curve (AUC).
Age, number of parity, number of BCa cases in 1st-degree relatives, exposure to light at night, and sleep quality were the common risk factors for all women. Alcohol drinking was included for premenopausal women; body mass index, age at menarche, age at 1st give birth, breast feeding, using of oral contraceptive, hormone replacement treatment, and history of benign breast diseases were included for postmenopausal women. The AUCs were 0.640 (95% CI, 0.598–0.681) and 0.655 (95% CI, 0.621–0.653) for pre- and postmenopausal women, respectively. Further subgroup evaluation revealed that the model performance was better for women aged 50 to 70 years or ER-positive.
This BCa risk assessment tool in Hong Kong Chinese women based on LASSO selection is promising, which shows a slightly higher discriminative accuracy than those developed in other populations.
doi:10.1097/MD.0000000000004515
PMCID: PMC4985325  PMID: 27512870
breast cancer; estrogen receptor; LASSO model; light at night; menopause; risk assessment
7.  Association of microRNA polymorphisms with the risk of head and neck squamous cell carcinoma in a Chinese population: a case–control study 
Background
MicroRNA (miRNA) polymorphisms may alter miRNA-related processes, and they likely contribute to cancer susceptibility. Various studies have investigated the associations between genetic variants in several key miRNAs and the risk of human cancers; however, few studies have focused on head and neck squamous cell carcinoma (HNSCC) risk. This study aimed to evaluate the associations between several key miRNA polymorphisms and HNSCC risk in a Chinese population.
Methods
In this study, we genotyped five common single-nucleotide polymorphisms (SNPs) in several key miRNAs (miR-149 rs2292832, miR-146a rs2910164, miR-605 rs2043556, miR-608 rs4919510, and miR-196a2 rs11614913) and evaluated the associations between these SNPs and HNSCC risk according to cancer site with a case–control study including 576 cases and 1552 controls, which were matched by age and sex in a Chinese population.
Results
The results revealed that miR-605 rs2043556 [dominant model: adjusted odds ratio (OR) 0.71, 95% confidence interval (CI) 0.58–0.88; additive model: adjusted OR 0.74, 95% CI 0.62–0.89] and miR-196a2 rs11614913 (dominant model: adjusted OR 1.36, 95% CI 1.08–1.72; additive model: adjusted OR 1.28, 95% CI 1.10–1.48) were significantly associated with the risk of oral squamous cell carcinoma (OSCC). Furthermore, when these two loci were evaluated together based on the number of putative risk alleles (rs2043556 A and rs11614913 G), a significant locus-dosage effect was noted on the risk of OSCC (Ptrend < 0.001). However, no significant association was detected between the other three SNPs (miR-149 rs2292832, miR-146a rs2910164, and miR-608 rs4919510) and HNSCC risk.
Conclusion
Our study provided the evidence that miR-605 rs2043556 and miR-196a2 rs11614913 may have an impact on genetic susceptibility to OSCC in Chinese population.
doi:10.1186/s40880-016-0136-9
PMCID: PMC4981983  PMID: 27515039
Head and neck cancer; microRNA; Polymorphism; Squamous cell carcinoma; Susceptibility
8.  Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome 
Machiela, Mitchell J. | Zhou, Weiyin | Karlins, Eric | Sampson, Joshua N. | Freedman, Neal D. | Yang, Qi | Hicks, Belynda | Dagnall, Casey | Hautman, Christopher | Jacobs, Kevin B. | Abnet, Christian C. | Aldrich, Melinda C. | Amos, Christopher | Amundadottir, Laufey T. | Arslan, Alan A. | Beane-Freeman, Laura E. | Berndt, Sonja I. | Black, Amanda | Blot, William J. | Bock, Cathryn H. | Bracci, Paige M. | Brinton, Louise A. | Bueno-de-Mesquita, H Bas | Burdett, Laurie | Buring, Julie E. | Butler, Mary A. | Canzian, Federico | Carreón, Tania | Chaffee, Kari G. | Chang, I-Shou | Chatterjee, Nilanjan | Chen, Chu | Chen, Constance | Chen, Kexin | Chung, Charles C. | Cook, Linda S. | Crous Bou, Marta | Cullen, Michael | Davis, Faith G. | De Vivo, Immaculata | Ding, Ti | Doherty, Jennifer | Duell, Eric J. | Epstein, Caroline G. | Fan, Jin-Hu | Figueroa, Jonine D. | Fraumeni, Joseph F. | Friedenreich, Christine M. | Fuchs, Charles S. | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | Gaudet, Mia M. | Gaziano, J. Michael | Giles, Graham G. | Gillanders, Elizabeth M. | Giovannucci, Edward L. | Goldin, Lynn | Goldstein, Alisa M. | Haiman, Christopher A. | Hallmans, Goran | Hankinson, Susan E. | Harris, Curtis C. | Henriksson, Roger | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Hsiung, Chao A. | Hu, Nan | Hu, Wei | Hunter, David J. | Hutchinson, Amy | Jenab, Mazda | Johansen, Christoffer | Khaw, Kay-Tee | Kim, Hee Nam | Kim, Yeul Hong | Kim, Young Tae | Klein, Alison P. | Klein, Robert | Koh, Woon-Puay | Kolonel, Laurence N. | Kooperberg, Charles | Kraft, Peter | Krogh, Vittorio | Kurtz, Robert C. | LaCroix, Andrea | Lan, Qing | Landi, Maria Teresa | Marchand, Loic Le | Li, Donghui | Liang, Xiaolin | Liao, Linda M. | Lin, Dongxin | Liu, Jianjun | Lissowska, Jolanta | Lu, Lingeng | Magliocco, Anthony M. | Malats, Nuria | Matsuo, Keitaro | McNeill, Lorna H. | McWilliams, Robert R. | Melin, Beatrice S. | Mirabello, Lisa | Moore, Lee | Olson, Sara H. | Orlow, Irene | Park, Jae Yong | Patiño-Garcia, Ana | Peplonska, Beata | Peters, Ulrike | Petersen, Gloria M. | Pooler, Loreall | Prescott, Jennifer | Prokunina-Olsson, Ludmila | Purdue, Mark P. | Qiao, You-Lin | Rajaraman, Preetha | Real, Francisco X. | Riboli, Elio | Risch, Harvey A. | Rodriguez-Santiago, Benjamin | Ruder, Avima M. | Savage, Sharon A. | Schumacher, Fredrick | Schwartz, Ann G. | Schwartz, Kendra L. | Seow, Adeline | Wendy Setiawan, Veronica | Severi, Gianluca | Shen, Hongbing | Sheng, Xin | Shin, Min-Ho | Shu, Xiao-Ou | Silverman, Debra T. | Spitz, Margaret R. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael | Stram, Daniel | Tang, Ze-Zhong | Taylor, Philip R. | Teras, Lauren R. | Tobias, Geoffrey S. | Van Den Berg, David | Visvanathan, Kala | Wacholder, Sholom | Wang, Jiu-Cun | Wang, Zhaoming | Wentzensen, Nicolas | Wheeler, William | White, Emily | Wiencke, John K. | Wolpin, Brian M. | Wong, Maria Pik | Wu, Chen | Wu, Tangchun | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xia, Lucy | Yang, Hannah P. | Yang, Pan-Chyr | Yu, Kai | Zanetti, Krista A. | Zeleniuch-Jacquotte, Anne | Zheng, Wei | Zhou, Baosen | Ziegler, Regina G. | Perez-Jurado, Luis A. | Caporaso, Neil E. | Rothman, Nathaniel | Tucker, Margaret | Dean, Michael C. | Yeager, Meredith | Chanock, Stephen J.
Nature Communications  2016;7:11843.
To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases.
It is unclear how often genetic mosaicism of chromosome X arises. Here, the authors examine women with cancer and cancer-free controls and show that X chromosome mosaicism occurs more frequently than on autosomes, especially on the inactive X chromosome, but is not linked to non-haematologic cancer risk
doi:10.1038/ncomms11843
PMCID: PMC4909985  PMID: 27291797
9.  Genome-wide association study identifies 8p21.3 associated with persistent hepatitis B virus infection among Chinese 
Nature Communications  2016;7:11664.
Hepatitis B virus (HBV) infection is a common infectious disease. Here we perform a genome-wide association study (GWAS) among Chinese populations to identify novel genetic loci involved in persistent HBV infection. GWAS scan is performed in 1,251 persistently HBV infected subjects (PIs, cases) and 1,057 spontaneously recovered subjects (SRs, controls), followed by replications in four independent populations totally consisting of 3,905 PIs and 3,356 SRs. We identify a novel locus at 8p21.3 (index rs7000921, odds ratio=0.78, P=3.2 × 10−12). Furthermore, we identify significant expression quantitative trait locus associations for INTS10 gene at 8p21.3. We demonstrate that INST10 suppresses HBV replication via IRF3 in liver cells. In clinical plasma samples, we confirm that INST10 levels are significantly decreased in PIs compared with SRs, and negatively correlated with the HBV load. These findings highlight a novel antiviral gene INTS10 at 8p21.3 in the clearance of HBV infection.
This genome-wide association study on persistent hepatitis B virus (HBV) infection among Chinese confirms previously associated genetic loci while discovering a novel protective locus at 8p21.3. The study also demonstrates the nearby gene INST10 suppresses HBV replication in vitro.
doi:10.1038/ncomms11664
PMCID: PMC4895015  PMID: 27244555
10.  The case-only test for gene-environment interaction is not uniformly powerful: an empirical example 
Genetic epidemiology  2013;37(4):402-407.
The case-only test has been proposed as a more powerful approach to detect gene-environment (G×E) interactions. This approach assumes that the genetic and environmental factors are independent. While it is well known that Type I error rate will increase if this assumption is violated, it is less widely appreciated that gene-environment correlation can also lead to power loss. We illustrate this phenomenon by comparing the performance of the case-only test to other approaches to detect G×E interactions in a genome-wide association study of esophageal squamous carcinoma (ESCC) in Chinese populations. Some of these approaches do not use information on the correlation between exposure and genotype (standard logistic regression), while others seek to use this information in a robust fashion to boost power without increasing Type I error (two-step, empirical Bayes and cocktail methods). G×E interactions were identified involving drinking status and two regions containing genes in the alcohol metabolism pathway, 4q23 and 12q24. Although the case-only test yielded the most significant tests of G×E interaction in the 4q23 region, the case-only test failed to identify significant interactions in the 12q24 region which were readily identified using other approaches. The low power of the case-only test in the 12q24 region is likely due to the strong inverse association between the SNPs in this region and drinking status. This example underscores the need to consider multiple approaches to detect gene-environment interactions, as different tests are more or less sensitive to different alternative hypotheses and violations of the gene-environment independence assumption.
doi:10.1002/gepi.21713
PMCID: PMC4858433  PMID: 23595356
11.  Common genetic variation in ETV6 is associated with colorectal cancer susceptibility 
Nature Communications  2016;7:11478.
Genome-wide association studies (GWASs) have identified multiple susceptibility loci for colorectal cancer, but much of heritability remains unexplained. To identify additional susceptibility loci for colorectal cancer, here we perform a GWAS in 1,023 cases and 1,306 controls and replicate the findings in seven independent samples from China, comprising 5,317 cases and 6,887 controls. We find a variant at 12p13.2 associated with colorectal cancer risk (rs2238126 in ETV6, P=2.67 × 10−10). We replicate this association in an additional 1,046 cases and 1,076 controls of European ancestry (P=0.034). The G allele of rs2238126 confers earlier age at onset of colorectal cancer (P=1.98 × 10−6) and reduces the binding affinity of transcriptional enhancer MAX. The mRNA level of ETV6 is significantly lower in colorectal tumours than in paired normal tissues. Our findings highlight the potential importance of genetic variation in ETV6 conferring susceptibility to colorectal cancer.
Genome-wide association studies have been performed to identify genetic variants that are associated with susceptibility to colorectal cancer. Here, the authors expand on these studies and identify a variant that regulates the expression of ETV6 and find that over-expression of ETV6 blocks cell proliferation in vitro.
doi:10.1038/ncomms11478
PMCID: PMC4858728  PMID: 27145994
12.  Genomic Landscape Survey Identifies SRSF1 as a Key Oncodriver in Small Cell Lung Cancer 
PLoS Genetics  2016;12(4):e1005895.
Small cell lung cancer (SCLC) is an aggressive disease with poor survival. A few sequencing studies performed on limited number of samples have revealed potential disease-driving genes in SCLC, however, much still remains unknown, particularly in the Asian patient population. Here we conducted whole exome sequencing (WES) and transcriptomic sequencing of primary tumors from 99 Chinese SCLC patients. Dysregulation of tumor suppressor genes TP53 and RB1 was observed in 82% and 62% of SCLC patients, respectively, and more than half of the SCLC patients (62%) harbored TP53 and RB1 mutation and/or copy number loss. Additionally, Serine/Arginine Splicing Factor 1 (SRSF1) DNA copy number gain and mRNA over-expression was strongly associated with poor survival using both discovery and validation patient cohorts. Functional studies in vitro and in vivo demonstrate that SRSF1 is important for tumorigenicity of SCLC and may play a key role in DNA repair and chemo-sensitivity. These results strongly support SRSF1 as a prognostic biomarker in SCLC and provide a rationale for personalized therapy in SCLC.
Author Summary
SCLC patients are initially highly chemo-sensitive with response rates of greater than 80% in both limited and extensive diseases, but suffer uniform disease recurrence or progression in a very short period of time. In the absence of well-defined genomic biomarkers and insights into the resistance mechanism, many targeted treatments have yielded negative results in the last decade Using integrated next generation sequencing (NGS) technology in combination with a high quality surgical sample set with comprehensive clinical annotation, our study not only identified novel recurrent genetic alterations in genes such as CDH10 and DNA repair pathways which may influence outcomes in SCLC patients, but also discovered the expression of SRSF1, an RNA-splicing factor which can both regulate key oncogenic and survival pathways such as BCL2, and play a critical role in patient survival.
doi:10.1371/journal.pgen.1005895
PMCID: PMC4836692  PMID: 27093186
13.  Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci 
He, Meian | Xu, Min | Zhang, Ben | Liang, Jun | Chen, Peng | Lee, Jong-Young | Johnson, Todd A. | Li, Huaixing | Yang, Xiaobo | Dai, Juncheng | Liang, Liming | Gui, Lixuan | Qi, Qibin | Huang, Jinyan | Li, Yanping | Adair, Linda S. | Aung, Tin | Cai, Qiuyin | Cheng, Ching-Yu | Cho, Myeong-Chan | Cho, Yoon Shin | Chu, Minjie | Cui, Bin | Gao, Yu-Tang | Go, Min Jin | Gu, Dongfeng | Gu, Weiqiong | Guo, Huan | Hao, Yongchen | Hong, Jie | Hu, Zhibin | Hu, Yanling | Huang, Jianfeng | Hwang, Joo-Yeon | Ikram, Mohammad Kamran | Jin, Guangfu | Kang, Dae-Hee | Khor, Chiea Chuen | Kim, Bong-Jo | Kim, Hung Tae | Kubo, Michiaki | Lee, Jeannette | Lee, Juyoung | Lee, Nanette R. | Li, Ruoying | Li, Jun | Liu, JianJun | Longe, Jirong | Lu, Wei | Lu, Xiangfeng | Miao, Xiaoping | Okada, Yukinori | Ong, Rick Twee-Hee | Qiu, Gaokun | Seielstad, Mark | Sim, Xueling | Song, Huaidong | Takeuchi, Fumihiko | Tanaka, Toshihiro | Taylor, Phil R. | Wang, Laiyuan | Wang, Weiqing | Wang, Yiqin | Wu, Chen | Wu, Ying | Xiang, Yong-Bing | Yamamoto, Ken | Yang, Handong | Liao, Ming | Yokota, Mitsuhiro | Young, Terri | Zhang, Xiaomin | Kato, Norihiro | Wang, Qing K. | Zheng, Wei | Hu, Frank B. | Lin, Dongxin | Shen, Hongbing | Teo, Yik Ying | Mo, Zengnan | Wong, Tien Yin | Lin, Xu | Mohlke, Karen L. | Ning, Guang | Tsunoda, Tatsuhiko | Han, Bok-Ghee | Shu, Xiao-Ou | Tai, E. Shyong | Wu, Tangchun | Qi, Lu
Human Molecular Genetics  2014;24(6):1791-1800.
Human height is associated with risk of multiple diseases and is profoundly determined by an individual's genetic makeup and shows a high degree of ethnic heterogeneity. Large-scale genome-wide association (GWA) analyses of adult height in Europeans have identified nearly 180 genetic loci. A recent study showed high replicability of results from Europeans-based GWA studies in Asians; however, population-specific loci may exist due to distinct linkage disequilibrium patterns. We carried out a GWA meta-analysis in 93 926 individuals from East Asia. We identified 98 loci, including 17 novel and 81 previously reported loci, associated with height at P < 5 × 10−8, together explaining 8.89% of phenotypic variance. Among the newly identified variants, 10 are commonly distributed (minor allele frequency, MAF > 5%) in Europeans, with comparable frequencies with in Asians, and 7 single-nucleotide polymorphisms are with low frequency (MAF < 5%) in Europeans. In addition, our data suggest that novel biological pathway such as the protein tyrosine phosphatase family is involved in regulation of height. The findings from this study considerably expand our knowledge of the genetic architecture of human height in Asians.
doi:10.1093/hmg/ddu583
PMCID: PMC4351379  PMID: 25429064
14.  Telomere length, genetic variants and risk of squamous cell carcinoma of the head and neck in Southeast Chinese 
Scientific Reports  2016;6:20675.
Telomere dysfunction participates in malignant transformation and tumorigenesis. Previous studies have explored the associations between telomere length (TL) and cancer susceptibility; however, the findings are inconclusive. The associations between genetic variants and TL have been verified by quite a few genome-wide association studies (GWAS). Yet, to date, there was no published study on the relationship between TL, related genetic variants and susceptibility to squamous cell carcinoma of the head and neck (SCCHN) in Chinese. Hence, we detected relative telomere length (RTL) by using quantitative PCR and genotyped seven selected single nucleotide polymorphisms by TaqMan allelic discrimination assay in 510 SCCHN cases and 913 controls in southeast Chinese. The results showed that RTL was significantly associated with SCCHN risk [(adjusted odds ratio (OR) = 1.19, 95% confidence interval (CI) = 1.08–1.32, P = 0.001]. Furthermore, among seven selected SNPs, only G allele of rs2736100 related to RTL in Caucasians was significantly associated with both the decreased RTL (P = 0.002) and the increased susceptibility to SCCHN in Chinese (additive model: adjusted OR = 1.17, 95%CI = 1.00–1.38, P = 0.049). These findings provide evidence that shortened TL is a risk factor for SCCHN, and genetic variants can contribute to both TL and the susceptibility to SCCHN in southeast Chinese population.
doi:10.1038/srep20675
PMCID: PMC4746643  PMID: 26857734
15.  Genome-wide association study in Chinese identifies novel loci for blood pressure and hypertension 
Human Molecular Genetics  2014;24(3):865-874.
Hypertension is a common disorder and the leading risk factor for cardiovascular disease and premature deaths worldwide. Genome-wide association studies (GWASs) in the European population have identified multiple chromosomal regions associated with blood pressure, and the identified loci altogether explain only a small fraction of the variance for blood pressure. The differences in environmental exposures and genetic background between Chinese and European populations might suggest potential different pathways of blood pressure regulation. To identify novel genetic variants affecting blood pressure variation, we conducted a meta-analysis of GWASs of blood pressure and hypertension in 11 816 subjects followed by replication studies including 69 146 additional individuals. We identified genome-wide significant (P < 5.0 × 10−8) associations with blood pressure, which included variants at three new loci (CACNA1D, CYP21A2, and MED13L) and a newly discovered variant near SLC4A7. We also replicated 14 previously reported loci, 8 (CASZ1, MOV10, FGF5, CYP17A1, SOX6, ATP2B1, ALDH2, and JAG1) at genome-wide significance, and 6 (FIGN, ULK4, GUCY1A3, HFE, TBX3-TBX5, and TBX3) at a suggestive level of P = 1.81 × 10−3 to 5.16 × 10−8. These findings provide new mechanistic insights into the regulation of blood pressure and potential targets for treatments.
doi:10.1093/hmg/ddu478
PMCID: PMC4303798  PMID: 25249183
16.  Genetic variants associated with longer telomere length are associated with increased lung cancer risk among never-smoking women in Asia: A report from the Female Lung Cancer Consortium in Asia 
Machiela, Mitchell J | Hsiung, Chao Agnes | Shu, Xiao-Ou | Seow, Wei Jie | Wang, Zhaoming | Matsuo, Keitaro | Hong, Yun-Chul | Seow, Adeline | Wu, Chen | Hosgood, H Dean | Chen, Kexin | Wang, Jiu-Cun | Wen, Wanqing | Cawthon, Richard | Chatterjee, Nilanjan | Hu, Wei | Caporaso, Neil E | Park, Jae Yong | Chen, Chien-Jen | Kim, Yeul Hong | Kim, Young Tae | Landi, Maria Teresa | Shen, Hongbing | Lawrence, Charles | Burdett, Laurie | Yeager, Meredith | Chang, I-Shou | Mitsudomi, Tetsuya | Kim, Hee Nam | Chang, Gee-Chen | Bassig, Bryan A | Tucker, Margaret | Wei, Fusheng | Yin, Zhihua | An, She-Juan | Qian, Biyun | Lee, Victor Ho Fun | Lu, Daru | Liu, Jianjun | Jeon, Hyo-Sung | Hsiao, Chin-Fu | Sung, Jae Sook | Kim, Jin Hee | Gao, Yu-Tang | Tsai, Ying-Huang | Jung, Yoo Jin | Guo, Huan | Hu, Zhibin | Hutchinson, Amy | Wang, Wen-Chang | Klein, Robert J | Chung, Charles C | Oh, In-Jae | Chen, Kuan-Yu | Berndt, Sonja I | Wu, Wei | Chang, Jiang | Zhang, Xu-Chao | Huang, Ming-Shyan | Zheng, Hong | Wang, Junwen | Zhao, Xueying | Li, Yuqing | Choi, Jin Eun | Su, Wu-Chou | Park, Kyong Hwa | Sung, Sook Whan | Chen, Yuh-Min | Liu, Li | Kang, Chang Hyun | Hu, Lingmin | Chen, Chung-Hsing | Pao, William | Kim, Young-Chul | Yang, Tsung-Ying | Xu, Jun | Guan, Peng | Tan, Wen | Su, Jian | Wang, Chih-Liang | Li, Haixin | Sihoe, Alan Dart Loon | Zhao, Zhenhong | Chen, Ying | Choi, Yi Young | Hung, Jen-Yu | Kim, Jun Suk | Yoon, Ho-Il | Cai, Qiuyin | Lin, Chien-Chung | Park, In Kyu | Xu, Ping | Dong, Jing | Kim, Christopher | He, Qincheng | Perng, Reury-Perng | Kohno, Takashi | Kweon, Sun-Seog | Chen, Chih-Yi | Vermeulen, Roel C H | Wu, Junjie | Lim, Wei-Yen | Chen, Kun-Chieh | Chow, Wong-Ho | Ji, Bu-Tian | Chan, John K C | Chu, Minjie | Li, Yao-Jen | Yokota, Jun | Li, Jihua | Chen, Hongyan | Xiang, Yong-Bing | Yu, Chong-Jen | Kunitoh, Hideo | Wu, Guoping | Jin, Li | Lo, Yen-Li | Shiraishi, Kouya | Chen, Ying-Hsiang | Lin, Hsien-Chih | Wu, Tangchun | Wong, Maria Pik | Wu, Yi-Long | Yang, Pan-Chyr | Zhou, Baosen | Shin, Min-Ho | Fraumeni, Joseph F | Zheng, Wei | Lin, Dongxin | Chanock, Stephen J | Rothman, Nathaniel | Lan, Qing
Recent evidence from several relatively small nested case-control studies in prospective cohorts shows an association between longer telomere length measured phenotypically in peripheral white blood cell (WBC) DNA and increased lung cancer risk. We sought to further explore this relationship by examining a panel of 7 telomere-length associated genetic variants in a large study of 5,457 never-smoking female Asian lung cancer cases and 4,493 never-smoking female Asian controls using data from a previously reported genome-wide association study. Using a group of 1,536 individuals with phenotypically measured telomere length in WBCs in the prospective Shanghai Women’s Health study, we demonstrated the utility of a genetic risk score (GRS) of 7 telomere-length associated variants to predict telomere length in an Asian population. We then found that GRSs used as instrumental variables to predict longer telomere length were associated with increased lung cancer risk (OR = 1.51 (95% CI=1.34–1.69) for upper vs. lower quartile of the weighted GRS, P-value=4.54×10−14) even after removing rs2736100 (P-value=4.81×10−3), a SNP in the TERT locus robustly associated with lung cancer risk in prior association studies. Stratified analyses suggested the effect of the telomere-associated GRS is strongest among younger individuals. We found no difference in GRS effect between adenocarcinoma and squamous cell subtypes. Our results indicate that a genetic background that favors longer telomere length may increase lung cancer risk, which is consistent with earlier prospective studies relating longer telomere length with increased lung cancer risk.
doi:10.1002/ijc.29393
PMCID: PMC4733320  PMID: 25516442
association study; genetics; lung cancer; telomere length; genetic risk score
17.  Systematic identification of genes with a cancer-testis expression pattern in 19 cancer types 
Nature Communications  2016;7:10499.
Cancer-testis (CT) genes represent the similarity between the processes of spermatogenesis and tumorigenesis. It is possible that their selective expression pattern can help identify driver genes in cancer. In this study, we integrate transcriptomics data from multiple databases and systematically identify 876 new CT genes in 19 cancer types. We explore their relationship with testis-specific regulatory elements. We propose that extremely highly expressed CT genes (EECTGs) are potential drivers activated through epigenetic mechanisms. We find mutually exclusive associations between EECTGs and somatic mutations in mutated genes, such as PIK3CA in breast cancer. We also provide evidence that promoter demethylation and close non-coding RNAs (namely, CT-ncRNAs) may be two mechanisms to reactivate EECTG gene expression. We show that the meiosis-related EECTG (MEIOB) and its nearby CT-ncRNA have a role in tumorigenesis in lung adenocarcinoma. Our findings provide methods for identifying epigenetic-driver genes of cancer, which could serve as targets of future cancer therapies.
Genes normally expressed in the testis but aberrantly expressed in cancer are termed cancer testis antigens. In this study, the authors catalogue the expression of these genes in 19 different cancer types and correlate expression with some somatically mutated oncogenes.
doi:10.1038/ncomms10499
PMCID: PMC4737856  PMID: 26813108
18.  Potentially Functional Polymorphisms in POU5F1 Gene Are Associated with the Risk of Lung Cancer in Han Chinese 
BioMed Research International  2015;2015:851320.
POU5F1 is a key regulator of self-renewal and differentiation in embryonic stem cells and may be associated with initiation, promotion, and progression in cancer. We hypothesized that functional polymorphisms in POU5F1 may play an important role in modifying the lung cancer risk. To test this hypothesis, we conducted a case-control study to explore the association between 17 potentially functional SNPs in POU5F1 gene and the lung cancer risk in 1,341 incident lung cancer cases and 1,982 healthy controls in a Chinese population. We found that variant alleles of rs887468 and rs3130457 were significantly associated with increased risk of lung cancer after multiple comparison (OR = 1.29, 95% CI: 1.11–1.51, Pfdr = 0.017 for rs887468; OR = 1.29, 95% CI: 1.10–1.51, Pfdr = 0.034 for rs3130457, resp.). In addition, we detected a significant interaction between rs887468 genotypes and smoking status on lung cancer risk (P = 0.017). Combined analysis of these 2 SNPs showed a significant allele-dosage association between the number of risk alleles and increased risk of lung cancer (Ptrend < 0.001). These findings indicate that potentially functional polymorphisms in POU5F1 gene may contribute to lung cancer susceptibility in a Chinese population.
doi:10.1155/2015/851320
PMCID: PMC4707383  PMID: 26824036
19.  A functional variant in miR-155 regulation region contributes to lung cancer risk and survival 
Oncotarget  2015;6(40):42781-42792.
Emerging evidence suggested that upregulation of miR-155 could serve as a promising marker for the diagnosis and prognosis of non-small cell lung cancer (NSCLC). In the present study, we genotyped rs767649 (A > T) located in miR-155 regulation region in 1341 cases and 1982 controls, and analyzed the associations of rs767649 with NSCLC risk and survival. Consequently, rs767649 exhibited the significant associations with the risk (adjusted OR = 1.12, 95% CI = 1.01–1.24, P = 0.031) and prognosis of NSCLC (adjusted HR = 1.17, 95% CI = 1.03–1.32, P = 0.014). Meanwhile, rs767649 specifically interacted with radio-chemotherapy (Pint = 0.013), and patients with both the rs767649-TT genotype and radio-chemotherapy had the highest hazard ratio (adjusted HR = 1.65, 95% CI = 1.26–2.16, P < 0.001). Furthermore, using functional assays and The Cancer Genome Atlas (TCGA) Lung Adenocarcinoma (LUAD) dataset, we found that rs767649 variant allele could increase the transcriptional activity of miR-155, which in turn facilitated tumor growth and metastasis by inhibiting HBP1, TJP1, SMAD5 and PRKAR1A expression. Our findings suggested that rs767649 A > T might contribute to the increased risk and poor prognosis of NSCLC, highlighting the importance of rs767649 in the prevention and therapy of NSCLC.
PMCID: PMC4767470  PMID: 26543233
non-small cell lung cancer; genetic susceptibility; prognosis; miR-155
20.  Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33 
Wang, Zhaoming | Zhu, Bin | Zhang, Mingfeng | Parikh, Hemang | Jia, Jinping | Chung, Charles C. | Sampson, Joshua N. | Hoskins, Jason W. | Hutchinson, Amy | Burdette, Laurie | Ibrahim, Abdisamad | Hautman, Christopher | Raj, Preethi S. | Abnet, Christian C. | Adjei, Andrew A. | Ahlbom, Anders | Albanes, Demetrius | Allen, Naomi E. | Ambrosone, Christine B. | Aldrich, Melinda | Amiano, Pilar | Amos, Christopher | Andersson, Ulrika | Andriole, Gerald | Andrulis, Irene L. | Arici, Cecilia | Arslan, Alan A. | Austin, Melissa A. | Baris, Dalsu | Barkauskas, Donald A. | Bassig, Bryan A. | Beane Freeman, Laura E. | Berg, Christine D. | Berndt, Sonja I. | Bertazzi, Pier Alberto | Biritwum, Richard B. | Black, Amanda | Blot, William | Boeing, Heiner | Boffetta, Paolo | Bolton, Kelly | Boutron-Ruault, Marie-Christine | Bracci, Paige M. | Brennan, Paul | Brinton, Louise A. | Brotzman, Michelle | Bueno-de-Mesquita, H. Bas | Buring, Julie E. | Butler, Mary Ann | Cai, Qiuyin | Cancel-Tassin, Geraldine | Canzian, Federico | Cao, Guangwen | Caporaso, Neil E. | Carrato, Alfredo | Carreon, Tania | Carta, Angela | Chang, Gee-Chen | Chang, I-Shou | Chang-Claude, Jenny | Che, Xu | Chen, Chien-Jen | Chen, Chih-Yi | Chen, Chung-Hsing | Chen, Constance | Chen, Kuan-Yu | Chen, Yuh-Min | Chokkalingam, Anand P. | Chu, Lisa W. | Clavel-Chapelon, Francoise | Colditz, Graham A. | Colt, Joanne S. | Conti, David | Cook, Michael B. | Cortessis, Victoria K. | Crawford, E. David | Cussenot, Olivier | Davis, Faith G. | De Vivo, Immaculata | Deng, Xiang | Ding, Ti | Dinney, Colin P. | Di Stefano, Anna Luisa | Diver, W. Ryan | Duell, Eric J. | Elena, Joanne W. | Fan, Jin-Hu | Feigelson, Heather Spencer | Feychting, Maria | Figueroa, Jonine D. | Flanagan, Adrienne M. | Fraumeni, Joseph F. | Freedman, Neal D. | Fridley, Brooke L. | Fuchs, Charles S. | Gago-Dominguez, Manuela | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | Garcia-Closas, Reina | Gastier-Foster, Julie M. | Gaziano, J. Michael | Gerhard, Daniela S. | Giffen, Carol A. | Giles, Graham G. | Gillanders, Elizabeth M. | Giovannucci, Edward L. | Goggins, Michael | Gokgoz, Nalan | Goldstein, Alisa M. | Gonzalez, Carlos | Gorlick, Richard | Greene, Mark H. | Gross, Myron | Grossman, H. Barton | Grubb, Robert | Gu, Jian | Guan, Peng | Haiman, Christopher A. | Hallmans, Goran | Hankinson, Susan E. | Harris, Curtis C. | Hartge, Patricia | Hattinger, Claudia | Hayes, Richard B. | He, Qincheng | Helman, Lee | Henderson, Brian E. | Henriksson, Roger | Hoffman-Bolton, Judith | Hohensee, Chancellor | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Hosgood, H. Dean | Hsiao, Chin-Fu | Hsing, Ann W. | Hsiung, Chao Agnes | Hu, Nan | Hu, Wei | Hu, Zhibin | Huang, Ming-Shyan | Hunter, David J. | Inskip, Peter D. | Ito, Hidemi | Jacobs, Eric J. | Jacobs, Kevin B. | Jenab, Mazda | Ji, Bu-Tian | Johansen, Christoffer | Johansson, Mattias | Johnson, Alison | Kaaks, Rudolf | Kamat, Ashish M. | Kamineni, Aruna | Karagas, Margaret | Khanna, Chand | Khaw, Kay-Tee | Kim, Christopher | Kim, In-Sam | Kim, Jin Hee | Kim, Yeul Hong | Kim, Young-Chul | Kim, Young Tae | Kang, Chang Hyun | Jung, Yoo Jin | Kitahara, Cari M. | Klein, Alison P. | Klein, Robert | Kogevinas, Manolis | Koh, Woon-Puay | Kohno, Takashi | Kolonel, Laurence N. | Kooperberg, Charles | Kratz, Christian P. | Krogh, Vittorio | Kunitoh, Hideo | Kurtz, Robert C. | Kurucu, Nilgun | Lan, Qing | Lathrop, Mark | Lau, Ching C. | Lecanda, Fernando | Lee, Kyoung-Mu | Lee, Maxwell P. | Le Marchand, Loic | Lerner, Seth P. | Li, Donghui | Liao, Linda M. | Lim, Wei-Yen | Lin, Dongxin | Lin, Jie | Lindstrom, Sara | Linet, Martha S. | Lissowska, Jolanta | Liu, Jianjun | Ljungberg, Börje | Lloreta, Josep | Lu, Daru | Ma, Jing | Malats, Nuria | Mannisto, Satu | Marina, Neyssa | Mastrangelo, Giuseppe | Matsuo, Keitaro | McGlynn, Katherine A. | McKean-Cowdin, Roberta | McNeill, Lorna H. | McWilliams, Robert R. | Melin, Beatrice S. | Meltzer, Paul S. | Mensah, James E. | Miao, Xiaoping | Michaud, Dominique S. | Mondul, Alison M. | Moore, Lee E. | Muir, Kenneth | Niwa, Shelley | Olson, Sara H. | Orr, Nick | Panico, Salvatore | Park, Jae Yong | Patel, Alpa V. | Patino-Garcia, Ana | Pavanello, Sofia | Peeters, Petra H. M. | Peplonska, Beata | Peters, Ulrike | Petersen, Gloria M. | Picci, Piero | Pike, Malcolm C. | Porru, Stefano | Prescott, Jennifer | Pu, Xia | Purdue, Mark P. | Qiao, You-Lin | Rajaraman, Preetha | Riboli, Elio | Risch, Harvey A. | Rodabough, Rebecca J. | Rothman, Nathaniel | Ruder, Avima M. | Ryu, Jeong-Seon | Sanson, Marc | Schned, Alan | Schumacher, Fredrick R. | Schwartz, Ann G. | Schwartz, Kendra L. | Schwenn, Molly | Scotlandi, Katia | Seow, Adeline | Serra, Consol | Serra, Massimo | Sesso, Howard D. | Severi, Gianluca | Shen, Hongbing | Shen, Min | Shete, Sanjay | Shiraishi, Kouya | Shu, Xiao-Ou | Siddiq, Afshan | Sierrasesumaga, Luis | Sierri, Sabina | Loon Sihoe, Alan Dart | Silverman, Debra T. | Simon, Matthias | Southey, Melissa C. | Spector, Logan | Spitz, Margaret | Stampfer, Meir | Stattin, Par | Stern, Mariana C. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael Z. | Stram, Daniel O. | Strom, Sara S. | Su, Wu-Chou | Sund, Malin | Sung, Sook Whan | Swerdlow, Anthony | Tan, Wen | Tanaka, Hideo | Tang, Wei | Tang, Ze-Zhang | Tardon, Adonina | Tay, Evelyn | Taylor, Philip R. | Tettey, Yao | Thomas, David M. | Tirabosco, Roberto | Tjonneland, Anne | Tobias, Geoffrey S. | Toro, Jorge R. | Travis, Ruth C. | Trichopoulos, Dimitrios | Troisi, Rebecca | Truelove, Ann | Tsai, Ying-Huang | Tucker, Margaret A. | Tumino, Rosario | Van Den Berg, David | Van Den Eeden, Stephen K. | Vermeulen, Roel | Vineis, Paolo | Visvanathan, Kala | Vogel, Ulla | Wang, Chaoyu | Wang, Chengfeng | Wang, Junwen | Wang, Sophia S. | Weiderpass, Elisabete | Weinstein, Stephanie J. | Wentzensen, Nicolas | Wheeler, William | White, Emily | Wiencke, John K. | Wolk, Alicja | Wolpin, Brian M. | Wong, Maria Pik | Wrensch, Margaret | Wu, Chen | Wu, Tangchun | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xiang, Yong-Bing | Xu, Jun | Yang, Hannah P. | Yang, Pan-Chyr | Yatabe, Yasushi | Ye, Yuanqing | Yeboah, Edward D. | Yin, Zhihua | Ying, Chen | Yu, Chong-Jen | Yu, Kai | Yuan, Jian-Min | Zanetti, Krista A. | Zeleniuch-Jacquotte, Anne | Zheng, Wei | Zhou, Baosen | Mirabello, Lisa | Savage, Sharon A. | Kraft, Peter | Chanock, Stephen J. | Yeager, Meredith | Landi, Maria Terese | Shi, Jianxin | Chatterjee, Nilanjan | Amundadottir, Laufey T.
Human Molecular Genetics  2014;23(24):6616-6633.
Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10−39; Region 3: rs2853677, P = 3.30 × 10−36 and PConditional = 2.36 × 10−8; Region 4: rs2736098, P = 3.87 × 10−12 and PConditional = 5.19 × 10−6, Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10−6; and Region 6: rs10069690, P = 7.49 × 10−15 and PConditional = 5.35 × 10−7) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10−18 and PConditional = 7.06 × 10−16). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
doi:10.1093/hmg/ddu363
PMCID: PMC4240198  PMID: 25027329
21.  Mitochondria-related miR-151a-5p reduces cellular ATP production by targeting CYTB in asthenozoospermia 
Scientific Reports  2015;5:17743.
Mitochondria, acting as the energy metabolism factory, participate in many key biological processes, including the maintenance of sperm viability. Mitochondria-related microRNA (miRNA), encoded by nuclear genome or mitochondrial genome, may play an important regulatory role in the control of mitochondrial function. To investigate the potential role of mitochondria-related miRNAs in asthenozoospermia, we adopted a strategy consisting of initial screening by TaqMan Low Density Array (TLDA) and further validation with quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). Validation of the profiling results was conducted in two independent phases. Eventually, two seminal plasma miRNAs (sp-miRs) (miR-101-3p, let-7b-5p) were found to be significantly decreased, while sp-miR-151a-5p was significantly increased in severe asthenozoospermia cases compared with healthy controls. To further study their potential roles in asthenozoospermia, we then evaluated mitochondrial function of GC-2 cells transfected with these potentially functional miRNAs. Our results demonstrated that transfection with miR-151a-5p mimics decreased the mitochondrial respiratory activity. Besides, Adenosine Triphosphate (ATP) level was decreased when transfected with miR-151a-5p mimics. In addition, Cytochrome b (Cytb) mRNA and protein levels were also decreased when miR-151a-5p was overexpressed. These results indicate that miR-151a-5p may participate in the regulation of cellular respiration and ATP production through targeting Cytb.
doi:10.1038/srep17743
PMCID: PMC4667214  PMID: 26626315
22.  Genome-wide association study identifies two new susceptibility loci for colorectal cancer at 5q23.3 and 17q12 in Han Chinese 
Oncotarget  2015;6(37):40327-40336.
Genome-wide association studies (GWAS) have reported a number of loci harboring common variants that influence risk of colorectal cancer (CRC) in European descent. But all the SNPs identified explained a small fraction of total heritability. To identify more genetic factors that modify the risk of CRC, especially Chinese Han specific, we conducted a three-stage GWAS including a screening stage (932 CRC cases and 966 controls) and two independent validations (Stage 2: 1,759 CRC cases and 1,875 controls; Stage 3: 943 CRC cases and 1,838 controls). In the combined analyses, we discovered two novel loci associated with CRC: rs12522693 at 5q23.3 (CDC42SE2-CHSY3, OR = 1.31, P = 2.08 × 10−8) and rs17836917 at 17q12 (ASIC2-CCL2, OR = 0.75, P = 4.55 × 10−8). Additionally, we confirmed two previously reported risk loci, rs6983267 at 8q24.21 (OR = 1.17, P = 7.17 × 10−7) and rs10795668 at 10p14 (OR = 0.86, P = 2.96 × 10−6) in our cohorts. These results bring further insights into the CRC susceptibility and advance our understanding on etiology of CRC.
PMCID: PMC4741898  PMID: 26515597
GWAS; colorectal cancer; association
23.  Hepatitis B virus genotype, mutations, human leukocyte antigen polymorphisms and their interactions in hepatocellular carcinoma: a multi-centre case-control study 
Scientific Reports  2015;5:16489.
Three genome-wide association studies (GWAS) have been conducted on the genetic susceptibility of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), two of which consistently identified tagging single nucleotide polymorphisms (SNPs) around HLA-DQ/DR. In contrast, large multi-centre association studies between HBV genotype, mutations and the risk of HCC are relatively rare, and their interactions with host variants are even less. We performed a multi-centre study of 1,507 HBV-related HCC cases and 1,560 HBV persistent carriers as controls to evaluate the effects of HBV genotype, mutations, GWAS-identified HLA-DQ/DR SNPs (rs9272105 and rs9275319) and their interactions on HCC risk. We found HBV genotype C was more frequent in HBV-related HCC. And 11 HBV hotspot mutations were independently and significantly associated with HCC risk. We also detected significant interactions of rs9272105 with both the HBV genotype and mutations. Through stepwise regression analysis, HBV genotype, the 11 mutations, HLA-DQ/DR SNPs, and the interaction of rs9272105 with mutation A1752G were all entered into the HCC prediction model, and the area under the curve for the panel including the HLA-DQ/DR SNPs, HBV genotype and mutations was 0.840. The HBV genotype, the mutations and the HLA-DQ/DR SNPs may serve as biomarkers for the surveillance of HBV persistent carriers.
doi:10.1038/srep16489
PMCID: PMC4644975  PMID: 26568165
24.  Mitochondria-related miR-141-3p contributes to mitochondrial dysfunction in HFD-induced obesity by inhibiting PTEN 
Scientific Reports  2015;5:16262.
Mitochondria-related microRNAs (miRNAs) have recently emerged as key regulators of cell metabolism and can modulate mitochondrial fusion and division. In order to investigate the roles of mitochondria-related miRNAs played in obesity, we conducted comprehensive molecular analysis in vitro and in vivo. Based on high-fat-diet (HFD) induced obese mice, we found that hepatic mitochondrial function was markedly altered. Subsequently, we evaluated the expression levels of selected mitochondria-related miRNAs and found that miR-141-3p was up-regulated strikingly in HFD mice. To further verify the role of miR-141-3p in obesity, we carried out gain-and-loss-of-function study in human HepG2 cells. We found that miR-141-3p could modulate ATP production and induce oxidative stress. Through luciferase report gene assay, we identified that phosphatase and tensin homolog (PTEN) was a target of miR-141-3p. Inhibiting PTEN could alter the mitochondrial function, too. Our study suggested that mitochondria-related miR-141-3p induced mitochondrial dysfunction by inhibiting PTEN.
doi:10.1038/srep16262
PMCID: PMC4637860  PMID: 26548909
25.  Polymorphisms in microRNAs are associated with survival in non-small cell lung cancer 
Background
MicroRNAs (miRNAs) play important roles in the regulation of eukaryotic gene expression and are involved in human carcinogenesis. Single nucleotide polymorphisms (SNPs) in miRNA sequence may alter miRNA functions in gene regulation, which, in turn, may affect cancer risk and disease progression.
Methods
We conducted an analysis of associations of 142 miRNA SNPs with non-small cell lung cancer (NSCLC) survival using data from a genome-wide association study (GWAS) in a Caucasian population from the Massachusetts General Hospital (Boston, MA, US) including 452 early-stage and 526 late-stage NSCLC cases. Replication analyses were further performed in two external populations, one Caucasian cohort from The University of Texas MD Anderson Cancer Center (Houston, TX, US) and one Han Chinese cohort from Nanjing, China.
Results
We identified 7 significant SNPs in the discovery set. Results from the independent Caucasian cohort demonstrated that the C allele of rs2042253 (has-miRNA-5197) was significantly associated with decreased risk for death among the late-stage NSCLC patients (discovery set: HR=0.80, P=0.007; validation set: HR=0.86, P=0.035; combined analysis: HR=0.84, P=0.001).
Conclusions
These findings provide evidence that some miRNA SNPs are associated with NSCLC survival and can be used as predictive biomarkers.
Impact
This study provided an estimate of outcome probability for survival experience of NSCLC patients, which demonstrates that genetic factors, as well as classical non-genetic factors, may be used to predict individual outcome.
doi:10.1158/1055-9965.EPI-14-0389
PMCID: PMC4221531  PMID: 25103824
micro RNA lung cancer; biomarkers; predictors of survival

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