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1.  A genome-wide association study of marginal zone lymphoma shows association to the HLA region 
Vijai, Joseph | Wang, Zhaoming | Berndt, Sonja I. | Skibola, Christine F. | Slager, Susan L. | de Sanjose, Silvia | Melbye, Mads | Glimelius, Bengt | Bracci, Paige M. | Conde, Lucia | Birmann, Brenda M. | Wang, Sophia S. | Brooks-Wilson, Angela R. | Lan, Qing | de Bakker, Paul I. W. | Vermeulen, Roel C. H. | Portlock, Carol | Ansell, Stephen M. | Link, Brian K. | Riby, Jacques | North, Kari E. | Gu, Jian | Hjalgrim, Henrik | Cozen, Wendy | Becker, Nikolaus | Teras, Lauren R. | Spinelli, John J. | Turner, Jenny | Zhang, Yawei | Purdue, Mark P. | Giles, Graham G. | Kelly, Rachel S. | Zeleniuch-Jacquotte, Anne | Ennas, Maria Grazia | Monnereau, Alain | Bertrand, Kimberly A. | Albanes, Demetrius | Lightfoot, Tracy | Yeager, Meredith | Chung, Charles C. | Burdett, Laurie | Hutchinson, Amy | Lawrence, Charles | Montalvan, Rebecca | Liang, Liming | Huang, Jinyan | Ma, Baoshan | Villano, Danylo J. | Maria, Ann | Corines, Marina | Thomas, Tinu | Novak, Anne J. | Dogan, Ahmet | Liebow, Mark | Thompson, Carrie A. | Witzig, Thomas E. | Habermann, Thomas M. | Weiner, George J. | Smith, Martyn T. | Holly, Elizabeth A. | Jackson, Rebecca D. | Tinker, Lesley F. | Ye, Yuanqing | Adami, Hans-Olov | Smedby, Karin E. | De Roos, Anneclaire J. | Hartge, Patricia | Morton, Lindsay M. | Severson, Richard K. | Benavente, Yolanda | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Diver, W. Ryan | Vajdic, Claire M. | Armstrong, Bruce K. | Kricker, Anne | Zheng, Tongzhang | Holford, Theodore R. | Severi, Gianluca | Vineis, Paolo | Ferri, Giovanni M. | Ricco, Rosalia | Miligi, Lucia | Clavel, Jacqueline | Giovannucci, Edward | Kraft, Peter | Virtamo, Jarmo | Smith, Alex | Kane, Eleanor | Roman, Eve | Chiu, Brian C. H. | Fraumeni, Joseph F. | Wu, Xifeng | Cerhan, James R. | Offit, Kenneth | Chanock, Stephen J. | Rothman, Nathaniel | Nieters, Alexandra
Nature Communications  2015;6:5751.
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10−15) and HLA-B (rs2922994, P=2.43 × 10−9) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
Marginal zone lymphoma (MZL) is a common subtype of B-cell non-Hodgkin lymphoma. Here the authors carry out a two-stage genome-wide association study in over 8,000 Europeans and identify two new MZL risk loci at chromosome 6p, implicating the major histocompatibility complex in the disease for the first time.
doi:10.1038/ncomms6751
PMCID: PMC4287989  PMID: 25569183
2.  Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia 
Lan, Qing | Hsiung, Chao A | Matsuo, Keitaro | Hong, Yun-Chul | Seow, Adeline | Wang, Zhaoming | Hosgood, H Dean | Chen, Kexin | Wang, Jiu-Cun | Chatterjee, Nilanjan | Hu, Wei | Wong, Maria Pik | Zheng, Wei | Caporaso, Neil | Park, Jae Yong | Chen, Chien-Jen | Kim, Yeul Hong | Kim, Young Tae | Landi, Maria Teresa | Shen, Hongbing | Lawrence, Charles | Burdett, Laurie | Yeager, Meredith | Yuenger, Jeffrey | Jacobs, Kevin B | Chang, I-Shou | Mitsudomi, Tetsuya | Kim, Hee Nam | Chang, Gee-Chen | Bassig, Bryan A | Tucker, Margaret | Wei, Fusheng | Yin, Zhihua | Wu, Chen | 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 | Chung, Charles C | Oh, In-Jae | Chen, Kuan-Yu | Berndt, Sonja I | He, Xingzhou | 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 | Shu, Xiao-Ou | 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 | Wu, Junjie | Lim, Wei-Yen | Chen, Kun-Chieh | Chow, Wong-Ho | Ji, Bu-Tian | Chan, John K C | Chu, Minjie | Li1, 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 | Wu, Yi-Long | Yang, Pan-Chyr | Zhou, Baosen | Shin, Min-Ho | Fraumeni, Joseph F | Lin, Dongxin | Chanock, Stephen J | Rothman, Nathaniel
Nature genetics  2012;44(12):1330-1335.
To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland China, South Korea, Japan, Singapore, Taiwan, and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10-6) in an additional 1,099 cases and 2,913 controls. We identified three new susceptibility loci at 10q25.2 (rs7086803, P = 3.54 × 10-18), 6q22.2 (rs9387478, P = 4.14 × 10-10) and 6p21.32 (rs2395185, P = 9.51 × 10-9). We also confirmed associations reported for loci at 5p15.33 and 3q28 and a recently reported finding at 17q24.3. We observed no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking.
doi:10.1038/ng.2456
PMCID: PMC4169232  PMID: 23143601
3.  Fine Mapping of 14q24.1 Breast Cancer Susceptibility Locus 
Human genetics  2011;131(3):479-490.
In the National Cancer Institute Cancer Genetic Markers of Susceptibility (CGEMS) genome-wide association study of breast cancer, a single nucleotide polymorphism (SNP) marker, rs999737, in the 14q24.1 interval, was associated with breast cancer risk. In order to fine map this region, we imputed a 3.93MB region flanking rs999737 for Stages 1 and 2 of the CGEMS study (5,692 cases, 5,576 controls) using the combined reference panels of the HapMap 3 and the 1000 Genomes Project. Single-marker association testing and variable-sized sliding-window haplotype analysis were performed, and for both analyses the initial tagging SNP rs999737 retained the strongest association with breast cancer risk. Investigation of contiguous regions did not reveal evidence for an additional independent signal. Therefore, we conclude that rs999737 is an optimal tag SNP for common variants in the 14q24.1 region and thus narrow the candidate variants that should be investigated in follow-up laboratory evaluation.
doi:10.1007/s00439-011-1088-4
PMCID: PMC4159746  PMID: 21959381
RAD51L1; breast cancer; genome-wide association study; fine-mapping; imputation
4.  Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue 
Nature communications  2014;5:3365.
The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis- and 585 trans-meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis-meQTLs mostly localize to CpG sites outside of genes, promoters, and CpG islands (CGIs), while trans-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, 4 of the 5 established lung cancer risk loci in European ancestry are cis-meQTLs and, in aggregate, cis-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome.
doi:10.1038/ncomms4365
PMCID: PMC3982882  PMID: 24572595
5.  Augmented Hummelsheim procedure to treat complete abducens nerve palsy 
BACKGROUND
Horizontal strabismus due to a weak rectus muscle can be treated with an augmented Hummelsheim procedure, in which both vertical rectus muscle tendons are split, resected by 4 mm, and reattached to the sclera adjacent to the weak rectus muscle. Compared with vertical rectus transposition, the procedure spares two ciliary vessels and does not require placement of augmentation sutures. In this study, we evaluated binocular alignment and ocular motility in patients with abducens nerve palsy treated with an augmented Hummelsheim procedure.
METHODS
The medical records of consecutive patients with complete abducens nerve palsy who underwent the augmented Hummelsheim procedure, usually combined with medial rectus muscle recession, were retrospectively reviewed. Binocular alignment, ocular motility, and complications were analyzed.
RESULTS
Ten patients (age range, 12–57 years) met inclusion criteria for the study, of whom 9 of 10 had simultaneous medial rectus recession. Follow-up ranged from 1 week to 24 months. The augmented Hummelsheim procedure improved esotropia from 43Δ ± 5Δ preoperatively to 6Δ ± 7Δ postoperatively (P < 0.0001) and reduced abduction deficits from −4 to −3 (P < 0.0001). One patient with coexisting oculomotor nerve palsy developed consecutive exotropia; 2 had induced vertical deviations. There were no cases of anterior segment ischemia.
CONCLUSIONS
The augmented Hummelsheim procedure combined with medial rectus muscle recession reduced mean primary position esotropia and improved abduction in patients with complete abducens nerve palsy.
doi:10.1016/j.jaapos.2012.02.015
PMCID: PMC4143379  PMID: 22929448
6.  Polymorphisms in genes related to one-carbon metabolism are not related to pancreatic cancer in PanScan and PanC4 
Cancer causes & control : CCC  2013;24(3):595-602.
Purpose
The evidence of a relation between folate intake and one-carbon metabolism (OCM) with pancreatic cancer (PanCa) is inconsistent. In this study, the association between genes and single-nucleotide polymorphisms (SNPs) related to OCM and PanCa was assessed.
Methods
Using biochemical knowledge of the OCM pathway, we identified thirty-seven genes and 834 SNPs to examine in association with PanCa. Our study included 1,408 cases and 1,463 controls nested within twelve cohorts (PanScan). The ten SNPs and five genes with lowest p values (<0.02) were followed up in 2,323 cases and 2,340 controls from eight case-control studies (PanC4) that participated in PanScan2. The correlation of SNPs with metabolite levels was assessed for 649 controls from the European Prospective Investigation into Cancer and Nutrition.
Results
When both stages were combined, we observed suggestive associations with PanCa for rs10887710 (MAT1A) (OR 1.13, 95%CI 1.04-1.23), rs1552462 (SYT9) (OR 1.27, 95%CI 1.02-1.59), and rs7074891 (CUBN) (OR 1.91, 95%CI 1.12-3.26). After correcting for multiple comparisons, no significant associations were observed in either the first or second stage. The three suggested SNPs showed no correlations with one-carbon biomarkers.
Conclusions
This is the largest genetic study to date to examine the relation between germline variations in OCM-related genes polymorphisms and the risk of PanCa. Suggestive evidence for an association between polymorphisms and PanCa was observed among the cohort-nested studies, but this did not replicate in the case-control studies. Our results do not strongly support the hypothesis that genes related to OCM play a role in pancreatic carcinogenesis.
doi:10.1007/s10552-012-0138-0
PMCID: PMC4127987  PMID: 23334854
Pancreatic cancer; One-carbon metabolism; Polymorphisms; Biomarkers; Epidemiology
7.  Asparagine synthetase is a predictive biomarker of L-asparaginase activity in ovarian cancer cell lines 
Molecular cancer therapeutics  2008;7(10):3123-3128.
We recently used RNAi to demonstrate that a negative correlation of L-asparaginase (L-ASP) chemotherapeutic activity with asparagine synthetase (ASNS) expression in the ovarian subset of the NCI-60 cell line panel is causal. To determine whether that relationship would be sustained in a larger, more diverse set of ovarian cell lines, we have now measured ASNS mRNA expression using microarrays and a branched-DNA RNA assay, ASNS protein expression using an electrochemiluminescent immunoassay, and L-ASP activity using an MTS assay on nineteen human ovarian cancer cell lines. Contrary to our previous findings, L-ASP activity was only weakly correlated with ASNS mRNA expression; Pearson’s correlation coefficients were r = −0.21 for microarray data and r = −0.39 for the branched-DNA RNA assay, with just the latter being marginally statistically significant (p = 0.047, one-tailed). ASNS protein expression measured by liquid phase immunoassay exhibited a much stronger correlation, r = −0.65 (p = 0.0014, one-tailed). We conclude that ASNS protein expression measured by immunoassay is a strong univariate predictor of L-ASP activity in ovarian cancer cell lines. These findings provide rationale for clinical evaluation of ASNS protein expression as a predictive biomarker of L-ASP activity in ovarian cancer.
doi:10.1158/1535-7163.MCT-08-0589
PMCID: PMC4123961  PMID: 18852115
asparagine synthetase; asparaginase; ovarian cancer; biomarker; pharmacogenomics
8.  Perioperative hypoxemia is common with horizontal positioning during general anesthesia and is associated with major adverse outcomes: a retrospective study of consecutive patients 
BMC Anesthesiology  2014;14:43.
Background
Reported perioperative pulmonary aspiration (POPA) rates have substantial variation. Perioperative hypoxemia (POH), a manifestation of POPA, has been infrequently studied beyond the PACU, for patients undergoing a diverse array of surgical procedures.
Methods
Consecutive adult patients with ASA I-IV and pre-operative pulmonary stability who underwent a surgical procedure requiring general anesthesia were investigated. Using pulse oximetry, POH was documented in the operating room and during the 48 hours following PACU discharge. POPA was the presence of an acute pulmonary infiltrate with POH.
Results
The 500 consecutive, eligible patients had operative body-positions of prone 13%, decubitus 8%, sitting 1%, and supine/lithotomy 78%, with standard practice of horizontal recumbency. POH was found in 150 (30%) patients. Post-operative stay with POH was 3.7 ± 4.7 days and without POH was 1.7 ± 2.3 days (p < 0.0001). POH rate varied from 14% to 58% among 11 of 12 operative procedure-categories. Conditions independently associated with POH (p < 0.05) were acute trauma, BMI, ASA level, glycopyrrolate administration, and duration of surgery. POPA occurred in 24 (4.8%) patients with higher mortality (8.3%), when compared to no POPA (0.2%; p = 0.0065). Post-operative stay was greater with POPA (7.7 ± 5.7 days), when compared to no POPA (2.0 ± 2.9 days; p = 0.0001). Conditions independently associated with POPA (p < 0.05) were cranial procedure, ASA level, and duration of surgery. POPA, acute trauma, duration of surgery, and inability to extubate in the OR were independently associated with post-operative stay (p < 0.05). POH, gastric dysmotility, acute trauma, cranial procedure, emergency procedure, and duration of surgery had independent correlations with post-operative length of stay (p < 0.05).
Conclusions
Adult surgical patients undergoing general anesthesia with horizontal recumbency have substantial POH and POPA rates. Hospital mortality was greater with POPA and post-operative stay was increased for POH and POPA. POH rates were noteworthy for virtually all categories of operative procedures and POH and POPA were independent predictors of post-operative length of stay. A study is needed to determine if modest reverse-Trendelenburg positioning during general anesthesia has a relationship with reduced POH and POPA rates.
doi:10.1186/1471-2253-14-43
PMCID: PMC4061099  PMID: 24940115
Aspiration; Respiratory; Hypoxemia; Period; Perioperative; Operating rooms; Supine position
9.  DNA Fingerprinting of the NCI-60 Cell Line Panel 
Molecular cancer therapeutics  2009;8(4):713-724.
The National Cancer Institute’s NCI-60 cell line panel, the most extensively characterized set of cells in existence and a public resource, is frequently used as a screening tool for drug discovery. Since many laboratories around the world rely on data from the NCI-60 cells, confirmation of their genetic identities represents an essential step in validating results from them. Given the consequences of cell line contamination or misidentification, quality control measures should routinely include DNA fingerprinting. We have, therefore, used standard DNA microsatellite short tandem repeats to profile the NCI-60, and the resulting DNA fingerprints are provided here as a reference. Consistent with previous reports, the fingerprints suggest that several NCI-60 lines have common origins: the melanoma lines MDA-MB-435, MDA-N, and M14; the central nervous system lines U251 and SNB-19; the ovarian lines OVCAR-8 and OVCAR-8/ADR (also called NCI/ADR); and the prostate lines DU-145, DU-145 (ATCC), and RC0.1. Those lines also demonstrate that the ability to connect two fingerprints to the same origin is not affected by stable transfection or by the development of multidrug resistance. As expected, DNA fingerprints were not able to distinguish different tissues-of-origin. The fingerprints serve principally as a barcodes.
doi:10.1158/1535-7163.MCT-08-0921
PMCID: PMC4020356  PMID: 19372543
DNA fingerprinting; NCI-60; cell contamination
10.  Common genetic polymorphisms modify the effect of smoking on absolute risk of bladder cancer 
Cancer research  2013;73(7):2211-2220.
Bladder cancer results from the combined effects of environmental and genetic factors, smoking being the strongest risk factor. Evaluating absolute risks resulting from the joint effects of smoking and genetic factors is critical to evaluate the public health relevance of genetic information. Analyses included up to 3,942 cases and 5,680 controls of European background in seven studies. We tested for multiplicative and additive interactions between smoking and 12 susceptibility loci, individually and combined as a polygenic risk score (PRS). Thirty-year absolute risks and risk differences by levels of the PRS were estimated for US-males aged 50-years. Six out of 12 variants showed significant additive gene-environment interactions, most notably NAT2 (P=7×10-4) and UGT1A6 (P=8×10-4). The 30-year absolute risk of bladder cancer in US males was 6.2% for all current smokers. This risk ranged from 2.9% for current smokers in the lowest quartile of the PRS to 9.9% for current smokers in the upper quartile. Risk difference estimates indicated that 8,200 cases would be prevented if elimination of smoking occurred in 100,000 men in the upper PRS quartile, compared to 2,000 cases prevented by a similar effort in the lowest PRS quartile (P-additive =1×10-4). The impact of eliminating smoking the on number of bladder cancer cases prevented is larger for individuals at higher than lower genetic risk. Our findings could have implications for targeted prevention strategies. However, other smoking-related diseases, as well as practical and ethical considerations, need to be considered before any recommendations could be made.
doi:10.1158/0008-5472.CAN-12-2388
PMCID: PMC3688270  PMID: 23536561
11.  A re-sequence analysis of genomic loci on chromosomes 1q32.1, 5p15.33 and 13q22.1 associated with pancreatic cancer risk 
Pancreas  2013;42(2):209-215.
Objectives
To fine-map common pancreatic cancer susceptibility regions.
Methods
We conducted targeted Roche-454 re-sequencing across 428 kb in three genomic regions identified in genome-wide association studies (GWAS) of pancreatic cancer, on chromosomes 1q32.1, 5p15.33 and 13q22.1.
Results
An analytical pipeline for calling genotypes was developed using HapMap samples sequenced on chr5p15.33. Concordance to 1000 Genomes data for chr5p15.33 was >96%. The concordance for chr1q32.1 and chr13q22.1 with pancreatic cancer GWAS data was >99%. Between 9.2–19.0% of variants detected were not present in 1000 Genomes for the respective continental population. The majority of completely novel SNPs were less common (MAF ≤ 5%) or rare (MAF ≤ 2%), illustrating the value of enlarging test sets for discovery of less common variants. Using the dataset, we examined haplotype blocks across each region using a tag SNP analysis (r2 >0.8 for MAF ≥5%) and determined that at least 196, 243 and 63 SNPs are required for fine-mapping chr1q32.1, chr5p15.33, and chr13q22.1, respectively, in European populations.
Conclusions
We have characterized germline variation in three regions associated with pancreatic cancer risk and show that targeted re-sequencing leads to the discovery of novel variants and improves the completeness of germline sequence variants for fine-mapping GWAS susceptibility loci.
doi:10.1097/MPA.0b013e318264cea5
PMCID: PMC3618611  PMID: 23295781
pancreatic cancer; targeted re-sequencing; GWAS; susceptibility loci; SNP; 1000G
12.  Genome-wide Association Study Identifies Multiple Risk Loci for Chronic Lymphocytic Leukemia 
Berndt, Sonja I. | Skibola, Christine F. | Joseph, Vijai | Camp, Nicola J. | Nieters, Alexandra | Wang, Zhaoming | Cozen, Wendy | Monnereau, Alain | Wang, Sophia S. | Kelly, Rachel S. | Lan, Qing | Teras, Lauren R. | Chatterjee, Nilanjan | Chung, Charles C. | Yeager, Meredith | Brooks-Wilson, Angela R. | Hartge, Patricia | Purdue, Mark P. | Birmann, Brenda M. | Armstrong, Bruce K. | Cocco, Pierluigi | Zhang, Yawei | Severi, Gianluca | Zeleniuch-Jacquotte, Anne | Lawrence, Charles | Burdette, Laurie | Yuenger, Jeffrey | Hutchinson, Amy | Jacobs, Kevin B. | Call, Timothy G. | Shanafelt, Tait D. | Novak, Anne J. | Kay, Neil E. | Liebow, Mark | Wang, Alice H. | Smedby, Karin E | Adami, Hans-Olov | Melbye, Mads | Glimelius, Bengt | Chang, Ellen T. | Glenn, Martha | Curtin, Karen | Cannon-Albright, Lisa A. | Jones, Brandt | Diver, W. Ryan | Link, Brian K. | Weiner, George J. | Conde, Lucia | Bracci, Paige M. | Riby, Jacques | Holly, Elizabeth A. | Smith, Martyn T. | Jackson, Rebecca D. | Tinker, Lesley F. | Benavente, Yolanda | Becker, Nikolaus | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Rabe, Kari G. | Achenbach, Sara J. | Vachon, Celine M. | Goldin, Lynn R | Strom, Sara S. | Lanasa, Mark C. | Spector, Logan G. | Leis, Jose F. | Cunningham, Julie M. | Weinberg, J. Brice | Morrison, Vicki A. | Caporaso, Neil E. | Norman, Aaron D. | Linet, Martha S. | De Roos, Anneclaire J. | Morton, Lindsay M. | Severson, Richard K. | Riboli, Elio | Vineis, Paolo | Kaaks, Rudolph | Trichopoulos, Dimitrios | Masala, Giovanna | Weiderpass, Elisabete | Chirlaque, María-Dolores | Vermeulen, Roel C H | Travis, Ruth C. | Giles, Graham G. | Albanes, Demetrius | Virtamo, Jarmo | Weinstein, Stephanie | Clavel, Jacqueline | Zheng, Tongzhang | Holford, Theodore R | Offit, Kenneth | Zelenetz, Andrew | Klein, Robert J. | Spinelli, John J. | Bertrand, Kimberly A. | Laden, Francine | Giovannucci, Edward | Kraft, Peter | Kricker, Anne | Turner, Jenny | Vajdic, Claire M. | Ennas, Maria Grazia | Ferri, Giovanni M. | Miligi, Lucia | Liang, Liming | Sampson, Joshua | Crouch, Simon | Park, Ju-hyun | North, Kari E. | Cox, Angela | Snowden, John A. | Wright, Josh | Carracedo, Angel | Lopez-Otin, Carlos | Bea, Silvia | Salaverria, Itziar | Martin, David | Campo, Elias | Fraumeni, Joseph F. | de Sanjose, Silvia | Hjalgrim, Henrik | Cerhan, James R. | Chanock, Stephen J. | Rothman, Nathaniel | Slager, Susan L.
Nature genetics  2013;45(8):868-876.
doi:10.1038/ng.2652
PMCID: PMC3729927  PMID: 23770605
13.  Diabetes and risk of pancreatic cancer: a pooled analysis from the pancreatic cancer cohort consortium 
Cancer causes & control : CCC  2012;24(1):13-25.
Purpose
Diabetes is a suspected risk factor for pancreatic cancer, but questions remain about whether it is a risk factor or a result of the disease. This study prospectively examined the association between diabetes and the risk of pancreatic adenocarcinoma in pooled data from the NCI pancreatic cancer cohort consortium (PanScan).
Methods
The pooled data included 1,621 pancreatic adenocarcinoma cases and 1,719 matched controls from twelve cohorts using a nested case–control study design. Subjects who were diagnosed with diabetes near the time (<2 years) of pancreatic cancer diagnosis were excluded from all analyses. All analyses were adjusted for age, race, gender, study, alcohol use, smoking, BMI, and family history of pancreatic cancer.
Results
Self-reported diabetes was associated with a forty percent increased risk of pancreatic cancer (OR = 1.40, 95 % CI: 1.07, 1.84). The association differed by duration of diabetes; risk was highest for those with a duration of 2–8 years (OR = 1.79, 95 % CI: 1.25, 2.55); there was no association for those with 9+ years of diabetes (OR = 1.02, 95 % CI: 0.68, 1.52).
Conclusions
These findings provide support for a relationship between diabetes and pancreatic cancer risk. The absence of association in those with the longest duration of diabetes may reflect hypoinsulinemia and warrants further investigation.
doi:10.1007/s10552-012-0078-8
PMCID: PMC3529822  PMID: 23112111
Diabetes; Risk factor; Cohort consortium; Pancreatic cancer
14.  Genome-Wide Association Study of Survival in Patients with Pancreatic Adenocarcinoma 
Gut  2012;63(1):10.1136/gutjnl-2012-303477.
Objective
Survival of patients with pancreatic adenocarcinoma is limited and few prognostic factors are known. We conducted a two-stage genome-wide association study (GWAS) to identify germline variants associated with survival in patients with pancreatic adenocarcinoma.
Design
We analyzed overall survival in relation to single nucleotide polymorphisms (SNPs) among 1,005 patients from two large GWAS datasets, PanScan I and ChinaPC. Cox proportional hazards regression was used in an additive genetic model with adjustment for age, sex, clinical stage and the top four principal components of population stratification. The first stage included 642 cases of European ancestry (PanScan), from which the top SNPs (P≤10−5) were advanced to a joint analysis with 363 additional patients from China (ChinaPC).
Results
In the first stage of cases of European descent, the top-ranked loci were at chromosomes 11p15.4, 18p11.21, and 1p36.13, tagged by rs12362504 (P=1.63×10−7), rs981621 (P=1.65×10−7), and rs16861827 (P=3.75×10−7), respectively. One-hundred thirty-one SNPs with P ≤ 10−5 were advanced to a joint analysis with cases from the ChinaPC study. In the joint analysis, the top-ranked SNP was rs10500715 (minor allele frequency, 0.37; P=1.72×10−7) on chromosome 11p15.4, which is intronic to the SET binding factor 2 (SBF2) gene. The hazard ratio (95% CI) for death was 0.74 (0.66–0.84) in PanScan I, 0.79 (0.65–0.97) in ChinaPC, and 0.76 (0.68–0.84) in the joint analysis.
Conclusion
Germline genetic variation in the SBF2 locus was associated with overall survival in patients with pancreatic adenocarcinoma of European and Asian ancestry. This association should be investigated in additional large patient cohorts.
doi:10.1136/gutjnl-2012-303477
PMCID: PMC3816124  PMID: 23180869
Pancreatic cancer; GWAS; single nucleotide polymorphism; SET binding factor 2
15.  Genetic variant in TP63 on locus 3q28 is associated with risk of lung adenocarcinoma among never-smoking females in Asia 
Hosgood, H. Dean | Wang, Wen-Chang | Hong, Yun-Chul | Wang, Jiu-Cun | Chen, Kexin | Chang, I-Shou | Chen, Chien-Jen | Lu, Daru | Yin, Zhihua | Wu, Chen | Zheng, Wei | Qian, Biyun | Park, Jae Yong | Kim, Yeul Hong | Chatterjee, Nilanjan | Chen, Ying | Chang, Gee-Chen | Hsiao, Chin-Fu | Yeager, Meredith | Tsai, Ying-Huang | Wei, Hu | Kim, Young Tae | Wu, Wei | Zhao, Zhenhong | Chow, Wong-Ho | Zhu, Xiaoling | Lo, Yen-Li | Sung, Sook Whan | Chen, Kuan-Yu | Yuenger, Jeff | Kim, Joo Hyun | Huang, Liming | Chen, Ying-Hsiang | Gao, Yu-Tang | Kim, Jin Hee | Huang, Ming-Shyan | Jung, Tae Hoon | Caporaso, Neil | Zhao, Xueying | Huan, Zhang | Yu, Dianke | Kim, Chang Ho | Su, Wu-Chou | Shu, Xiao-Ou | Kim, In-San | Bassig, Bryan | Chen, Yuh-Min | Cha, Sung Ick | Tan, Wen | Chen, Hongyan | Yang, Tsung-Ying | Sung, Jae Sook | Wang, Chih-Liang | Li, Xuelian | Park, Kyong Hwa | Yu, Chong-Jen | Ryu, Jeong-Seon | Xiang, Yongbing | Hutchinson, Amy | Kim, Jun Suk | Cai, Qiuyin | Landi, Maria Teresa | Lee, Kyoung-Mu | Hung, Jen-Yu | Park, Ju-Yeon | Tucker, Margaret | Lin, Chien-Chung | Ren, Yangwu | Perng, Reury-Perng | Chen, Chih-Yi | Jin, Li | Chen, Kun-Chieh | Li, Yao-Jen | Chiu, Yu-Fang | Tsai, Fang-Yu | Yang, Pan-Chyr | Fraumeni, Joseph F. | Seow, Adeline | Lin, Dongxin | Zhou, Baosen | Chanock, Stephen | Hsiung, Chao Agnes | Rothman, Nathaniel | Lan, Qing
Human genetics  2012;131(7):10.1007/s00439-012-1144-8.
A recent genome-wide association study (GWAS) of subjects from Japan and South Korea reported a novel association between the TP63 locus on chromosome 3q28 and risk of lung adenocarcinoma (p = 7.3 × 10−12); however, this association did not achieve genome-wide significance (p < 10−7) among never-smoking males or females. To determine if this association with lung cancer risk is independent of tobacco use, we genotyped the TP63 SNPs reported by the previous GWAS (rs10937405 and rs4488809) in 3,467 never-smoking female lung cancer cases and 3,787 never-smoking female controls from 10 studies conducted in Taiwan, Mainland China, South Korea, and Singapore. Genetic variation in rs10937405 was associated with risk of lung adenocarcinoma [n = 2,529 cases; p = 7.1 × 10−8; allelic risk = 0.80, 95% confidence interval (CI) = 0.74–0.87]. There was also evidence of association with squamous cell carcinoma of the lung (n = 302 cases; p = 0.037; allelic risk = 0.82, 95% CI = 0.67–0.99). Our findings provide strong evidence that genetic variation in TP63 is associated with the risk of lung adenocarcinoma among Asian females in the absence of tobacco smoking.
doi:10.1007/s00439-012-1144-8
PMCID: PMC3875137  PMID: 22367405
16.  Common obesity-related genetic variants and papillary thyroid cancer risk 
Background
Epidemiologic studies have shown consistent associations between obesity and increased thyroid cancer risk, but, to date, no studies have investigated the relationship between thyroid cancer risk and obesity-related single nucleotide polymorphisms (SNPs).
Methods
We evaluated 575 tag SNPs in 23 obesity-related gene regions in a case-control study of 341 incident papillary thyroid cancer (PTC) cases and 444 controls of European ancestry. Logistic regression models, adjusted for attained age, year of birth, and sex were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) with SNP genotypes, coded as 0, 1, and 2 and modeled continuously to calculate P-trends.
Results
Nine out of 10 top-ranking SNPs (Ptrend<0.01) were located in the FTO (fat mass and obesity associated) gene region, while the other was located in INSR (insulin receptor). None of the associations were significant after correcting for multiple testing.
Conclusions
Our data do not support an important role of obesity-related genetic polymorphisms in determining the risk of PTC.
Impact
Factors other than selected genetic polymorphisms may be responsible for the observed associations between obesity and increased PTC risk.
doi:10.1158/1055-9965.EPI-12-0790
PMCID: PMC3518668  PMID: 23064004
single nucleotide polymorphisms; case-control study; obesity; body mass index; thyroid neoplasms
17.  Variations in Chromosomes 9 and 6p21.3 with Risk of Non–Hodgkin Lymphoma 
Background
There is growing evidence linking genetic variations to non–Hodgkin lymphoma (NHL) etiology. To complement ongoing agnostic approaches for identifying susceptibility genes, we evaluated 488 candidate gene regions and their relation to risk for NHL and NHL subtypes.
Methods
We genotyped 6,679 tag single nucleotide polymorphisms (SNPs) in 947 cases and 826 population-based controls from a multicenter U.S. case–control study. Gene-level summary of associations were obtained by computing the minimum P value (“minP test”) on the basis of 10,000 permutations. We used logistic regression to evaluate the association between genotypes and haplotypes with NHL. For NHL subtypes, we conducted polytomous multivariate unconditional logistic regression (adjusted for sex, race, age). We calculated P-trends under the codominant model for each SNP.
Results
Fourteen gene regions were associated with NHL (P < 0.01). The most significant SNP associated with NHL maps to the SYK gene (rs2991216, P-trend = 0.00005). The three most significant gene regions were on chromosome 6p21.3 (RING1/RXRB; AIF1; BAT4). Accordingly, SNPs in RING1/RXRB (rs2855429), AIF1 (rs2857597), and BAT4 (rs3115667) were associated with NHL (P-trends ≤ 0.0002) and both diffuse large B-cell and follicular lymphomas (P-trends < 0.05).
Conclusions
Our results suggest potential importance for SYK on chromosome 9 with NHL etiology. Our results further implicate 6p21.3 gene variants, supporting the need for full characterization of this chromosomal region in relation to lymphomagenesis.
Impact
Gene variants on chromosome 9 may represent a new region of interesting for NHL etiology. The independence of the reported variants in 6p21.3 from implicated variants (TNF/HLA) supports the need to confirm causal variants in this region
doi:10.1158/1055-9965.EPI-10-0638
PMCID: PMC3817834  PMID: 21148756
18.  The Handy Eye Chart™: A New Visual Acuity Test for Use in Children 
Ophthalmology  2012;119(10):2009-2013.
Objective
To design a simple matching acuity test based on hand gestures that is minimally dependent on familiarity with symbols and letters. The visual acuity results obtained from children using the Handy Eye Chart™ were compared with results obtained with the Early Treatment Diabetic Retinopathy Study (ETDRS) chart.
Design
Evaluation of diagnostic test or technology.
Participants
60 children between 6 and 16 years of age were recruited consecutively from the Pediatric Ophthalmology section of the Emory Eye Center.
Methods
Monocular visual acuity was tested using both the new eye chart and the ETDRS chart, alternating the order of administration between subjects. Testing was performed on the subject’s eye with the poorest acuity.
Main Outcome Measures
Outcome measures were monocular logarithm of the minimum angle of resolution (logMAR) visual acuity scores for each chart.
Results
The acuities were shown to have a strong linear correlation (r = 0.95) and a mean difference in acuity of −0.03 (95% confidence interval −0.05 to −0.01) logMAR, equivalent to approximately 1.5 letters, with the new eye chart underestimating the vision as determined by the ETDRS chart. The 95% limits of agreement were ±1.6 lines.
Conclusion
The present study supports the validity of the new eye chart as a measure of visual acuity in pediatric patients ages 6 to 18 with vision ranging from 20/16 to 20/200.
doi:10.1016/j.ophtha.2012.05.019
PMCID: PMC3464346  PMID: 22796307
19.  Genome-wide association studies of gastric adenocarcinoma and esophageal squamous cell carcinoma identify a shared susceptibility locus in PLCE1 at 10q23 
Nature genetics  2012;44(10):1090-1097.
We conducted a genome-wide association study of gastric cancer (GC) and esophageal squamous cell carcinoma (ESCC) in ethnic Chinese subjects in which we genotyped 551,152 single nucleotide polymorphisms (SNPs). We report a combined analysis of 2,240 GC cases, 2,115 ESCC cases, and 3,302 controls drawn from five studies. In logistic regression models adjusted for age, sex, and study, multiple variants at 10q23 had genome-wide significance for GC and ESCC independently. A notable signal was rs2274223, a nonsynonymous SNP located in PLCE1, for GC (P=8.40×1010; per allele odds ratio (OR) = 1.31) and ESCC (P=3.85×10−9; OR = 1.34). The association with GC differed by anatomic subsite. For tumors located in the cardia the association was stronger (P=4.19 × 10−15; OR= 1.57) and for those located in the noncardia stomach it was absent (P=0.44; OR=1.05). Our findings at 10q23 could provide insight into the high incidence rates of both cancers in China.
doi:10.1038/ng.2411
PMCID: PMC3513832  PMID: 22960999
20.  Candida Species Lens Abscesses in Infants with a History of Neonatal Candida Sepsis 
Purpose
To describe clinical findings, diagnostic techniques and management of Candida lens abscesses in premature infants with history of neonatal candida sepsis.
Design
Retrospective observational review.
Methods
Three cases of Candida lens abscesses were retrospectively identified at one institution. Patients' records were analyzed for clinical, surgical and laboratory findings.
Results
All 3 patients developed a lens opacity with signs of ocular inflammation at 20 weeks, 10 weeks, and 52 weeks postgestational age, respectively. Each patient underwent a lensectomy and anterior vitrectomy, and 2 of 3 had intravitreal injections of antifungal agents. Candida albicans was cultured from the lens/anterior chamber membrane in 2 infants and Candida parapsilosis from a lens aspirate in 1 infant. All Gram stains and cultures of the aqueous humor were negative for fungal elements. Despite successful treatment of the fungal infection, visual outcomes were light perception, counting fingers, and no light perception, respectively for the 3 cases. Two eyes developed glaucoma and one developed a retinal detachment with subsequent phthisis.
Conclusions
Candida lens abscesses may present as a lenticular opacity with ocular inflammation at variable times after neonatal Candida sepsis and onset can be delayed for months. Candida can be difficult to culture from an infant with a Candida lens abscess. Obtaining a culture of the lens aspirate or membranes in the anterior chamber should be included in the diagnostic work-up. The prognosis for functional vision is poor in these eyes.
doi:10.1016/j.jaapos.2012.11.006
PMCID: PMC3782386  PMID: 23622453
21.  An Absolute Risk Model to Identify Individuals at Elevated Risk for Pancreatic Cancer in the General Population 
PLoS ONE  2013;8(9):e72311.
Purpose
We developed an absolute risk model to identify individuals in the general population at elevated risk of pancreatic cancer.
Patients and Methods
Using data on 3,349 cases and 3,654 controls from the PanScan Consortium, we developed a relative risk model for men and women of European ancestry based on non-genetic and genetic risk factors for pancreatic cancer. We estimated absolute risks based on these relative risks and population incidence rates.
Results
Our risk model included current smoking (multivariable adjusted odds ratio (OR) and 95% confidence interval: 2.20 [1.84–2.62]), heavy alcohol use (>3 drinks/day) (OR: 1.45 [1.19–1.76]), obesity (body mass index >30 kg/m2) (OR: 1.26 [1.09–1.45]), diabetes >3 years (nested case-control OR: 1.57 [1.13–2.18], case-control OR: 1.80 [1.40–2.32]), family history of pancreatic cancer (OR: 1.60 [1.20–2.12]), non-O ABO genotype (AO vs. OO genotype) (OR: 1.23 [1.10–1.37]) to (BB vs. OO genotype) (OR 1.58 [0.97–2.59]), rs3790844(chr1q32.1) (OR: 1.29 [1.19–1.40]), rs401681(5p15.33) (OR: 1.18 [1.10–1.26]) and rs9543325(13q22.1) (OR: 1.27 [1.18–1.36]). The areas under the ROC curve for risk models including only non-genetic factors, only genetic factors, and both non-genetic and genetic factors were 58%, 57% and 61%, respectively. We estimate that fewer than 3/1,000 U.S. non-Hispanic whites have more than a 5% predicted lifetime absolute risk.
Conclusion
Although absolute risk modeling using established risk factors may help to identify a group of individuals at higher than average risk of pancreatic cancer, the immediate clinical utility of our model is limited. However, a risk model can increase awareness of the various risk factors for pancreatic cancer, including modifiable behaviors.
doi:10.1371/journal.pone.0072311
PMCID: PMC3772857  PMID: 24058443
22.  Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer 
Carcinogenesis  2012;33(7):1384-1390.
Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic cancer cases and 3934 control participants pooled from 12 cohort studies and 8 case–control studies (PanScan). We compiled 23 biological pathways hypothesized to be relevant to pancreatic cancer and observed a nominal association between pancreatic cancer and five pathways (P < 0.05), i.e. pancreatic development, Helicobacter pylori lacto/neolacto, hedgehog, Th1/Th2 immune response and apoptosis (P = 2.0 × 10−6, 1.6 × 10−5, 0.0019, 0.019 and 0.023, respectively). After excluding previously identified genes from the original GWAS in three pathways (NR5A2, ABO and SHH), the pancreatic development pathway remained significant (P = 8.3 × 10−5), whereas the others did not. The most significant genes (P < 0.01) in the five pathways were NR5A2, HNF1A, HNF4G and PDX1 for pancreatic development; ABO for H. pylori lacto/neolacto; SHH for hedgehog; TGFBR2 and CCL18 for Th1/Th2 immune response and MAPK8 and BCL2L11 for apoptosis. Our results provide a link between inherited variation in genes important for pancreatic development and cancer and show that pathway-based approaches to analysis of GWAS data can yield important insights into the collective role of genetic risk variants in cancer.
doi:10.1093/carcin/bgs151
PMCID: PMC3405651  PMID: 22523087
23.  Common genetic variants in metabolism and detoxification pathways and the risk of papillary thyroid cancer 
Endocrine-Related Cancer  2012;19(3):333-344.
Relationships are unclear between polymorphisms in genes involved in metabolism and detoxification of various chemicals and papillary thyroid cancer (PTC) risk as well as their potential modification by alcohol or tobacco intake. We evaluated associations between 1647 tagging single nucleotide polymorphisms (SNPs) in 132 candidate genes/regions involved in metabolism of exogenous and endogenous compounds (Phase I/II, oxidative stress, and metal binding pathways) and PTC risk in 344 PTC cases and 452 controls. For 15 selected regions and their respective SNPs, we also assessed interaction with alcohol and tobacco use. Logistic regression models were used to evaluate the main effect of SNPs (Ptrend) and interaction with alcohol/tobacco intake. Gene- and pathway-level associations and interactions (Pgene interaction) were evaluated by combining Ptrend values using the adaptive rank-truncated product method. While we found associations between PTC risk and nine SNPs (Ptrend≤0.01) and seven genes/regions (Pregion<0.05), none remained significant after correction for the false discovery rate. We found a significant interaction between UGT2B7 and NAT1 genes and alcohol intake (Pgene interaction=0.01 and 0.02 respectively) and between the CYP26B1 gene and tobacco intake (Pgene interaction=0.02). Our results are suggestive of interaction between the genetic polymorphisms in several detoxification genes and alcohol or tobacco intake on risk of PTC. Larger studies with improved exposure assessment should address potential modification of PTC risk by alcohol and tobacco intake to confirm or refute our findings.
doi:10.1530/ERC-11-0372
PMCID: PMC3394851  PMID: 22389382
24.  Genotypic variants at 2q33 and risk of esophageal squamous cell carcinoma in China: a meta-analysis of genome-wide association studies 
Abnet, Christian C. | Wang, Zhaoming | Song, Xin | Hu, Nan | Zhou, Fu-You | Freedman, Neal D. | Li, Xue-Min | Yu, Kai | Shu, Xiao-Ou | Yuan, Jian-Min | Zheng, Wei | Dawsey, Sanford M. | Liao, Linda M. | Lee, Maxwell P. | Ding, Ti | Qiao, You-Lin | Gao, Yu-Tang | Koh, Woon-Puay | Xiang, Yong-Bing | Tang, Ze-Zhong | Fan, Jin-Hu | Chung, Charles C. | Wang, Chaoyu | Wheeler, William | Yeager, Meredith | Yuenger, Jeff | Hutchinson, Amy | Jacobs, Kevin B. | Giffen, Carol A. | Burdett, Laurie | Fraumeni, Joseph F. | Tucker, Margaret A. | Chow, Wong-Ho | Zhao, Xue-Ke | Li, Jiang-Man | Li, Ai-Li | Sun, Liang-Dan | Wei, Wu | Li, Ji-Lin | Zhang, Peng | Li, Hong-Lei | Cui, Wen-Yan | Wang, Wei-Peng | Liu, Zhi-Cai | Yang, Xia | Fu, Wen-Jing | Cui, Ji-Li | Lin, Hong-Li | Zhu, Wen-Liang | Liu, Min | Chen, Xi | Chen, Jie | Guo, Li | Han, Jing-Jing | Zhou, Sheng-Li | Huang, Jia | Wu, Yue | Yuan, Chao | Huang, Jing | Ji, Ai-Fang | Kul, Jian-Wei | Fan, Zhong-Min | Wang, Jian-Po | Zhang, Dong-Yun | Zhang, Lian-Qun | Zhang, Wei | Chen, Yuan-Fang | Ren, Jing-Li | Li, Xiu-Min | Dong, Jin-Cheng | Xing, Guo-Lan | Guo, Zhi-Gang | Yang, Jian-Xue | Mao, Yi-Ming | Yuan, Yuan | Guo, Er-Tao | Zhang, Wei | Hou, Zhi-Chao | Liu, Jing | Li, Yan | Tang, Sa | Chang, Jia | Peng, Xiu-Qin | Han, Min | Yin, Wan-Li | Liu, Ya-Li | Hu, Yan-Long | Liu, Yu | Yang, Liu-Qin | Zhu, Fu-Guo | Yang, Xiu-Feng | Feng, Xiao-Shan | Wang, Zhou | Li, Yin | Gao, She-Gan | Liu, Hai-Lin | Yuan, Ling | Jin, Yan | Zhang, Yan-Rui | Sheyhidin, Ilyar | Li, Feng | Chen, Bao-Ping | Ren, Shu-Wei | Liu, Bin | Li, Dan | Zhang, Gao-Fu | Yue, Wen-Bin | Feng, Chang-Wei | Qige, Qirenwang | Zhao, Jian-Ting | Yang, Wen-Jun | Lei, Guang-Yan | Chen, Long-Qi | Li, En-Min | Xu, Li-Yan | Wu, Zhi-Yong | Bao, Zhi-Qin | Chen, Ji-Li | Li, Xian-Chang | Zhuang, Xiang | Zhou, Ying-Fa | Zuo, Xian-Bo | Dong, Zi-Ming | Wang, Lu-Wen | Fan, Xue-Pin | Wang, Jin | Zhou, Qi | Ma, Guo-Shun | Zhang, Qin-Xian | Liu, Hai | Jian, Xin-Ying | Lian, Sin-Yong | Wang, Jin-Sheng | Chang, Fu-Bao | Lu, Chang-Dong | Miao, Jian-Jun | Chen, Zhi-Guo | Wang, Ran | Guo, Ming | Fan, Zeng-Lin | Tao, Ping | Liu, Tai-Jing | Wei, Jin-Chang | Kong, Qing-Peng | Fan, Lei | Wang, Xian-Zeng | Gao, Fu-Sheng | Wang, Tian-Yun | Xie, Dong | Wang, Li | Chen, Shu-Qing | Yang, Wan-Cai | Hong, Jun-Yan | Wang, Liang | Qiu, Song-Liang | Goldstein, Alisa M. | Yuan, Zhi-Qing | Chanock, Stephen J. | Zhang, Xue-Jun | Taylor, Philip R. | Wang, Li-Dong
Human Molecular Genetics  2012;21(9):2132-2141.
Genome-wide association studies have identified susceptibility loci for esophageal squamous cell carcinoma (ESCC). We conducted a meta-analysis of all single-nucleotide polymorphisms (SNPs) that showed nominally significant P-values in two previously published genome-wide scans that included a total of 2961 ESCC cases and 3400 controls. The meta-analysis revealed five SNPs at 2q33 with P< 5 × 10−8, and the strongest signal was rs13016963, with a combined odds ratio (95% confidence interval) of 1.29 (1.19–1.40) and P= 7.63 × 10−10. An imputation analysis of 4304 SNPs at 2q33 suggested a single association signal, and the strongest imputed SNP associations were similar to those from the genotyped SNPs. We conducted an ancestral recombination graph analysis with 53 SNPs to identify one or more haplotypes that harbor the variants directly responsible for the detected association signal. This showed that the five SNPs exist in a single haplotype along with 45 imputed SNPs in strong linkage disequilibrium, and the strongest candidate was rs10201587, one of the genotyped SNPs. Our meta-analysis found genome-wide significant SNPs at 2q33 that map to the CASP8/ALS2CR12/TRAK2 gene region. Variants in CASP8 have been extensively studied across a spectrum of cancers with mixed results. The locus we identified appears to be distinct from the widely studied rs3834129 and rs1045485 SNPs in CASP8. Future studies of esophageal and other cancers should focus on comprehensive sequencing of this 2q33 locus and functional analysis of rs13016963 and rs10201587 and other strongly correlated variants.
doi:10.1093/hmg/dds029
PMCID: PMC3315211  PMID: 22323360
25.  Common genetic variants in the 8q24 region and risk of papillary thyroid cancer 
The Laryngoscope  2012;122(5):1040-1042.
Objectives/Hypothesis
Single nucleotide polymorphisms (SNPs) in the 8q24 chromosomal region identified from genome-wide scans have been associated with risk of several cancers including breast (rs1562430), prostate and colon (rs1447295 and rs6983267). A genome-wide scan in 26 families with papillary thyroid cancer (PTC) also found susceptibility loci in 8q24, supporting a closer evaluation of this chromosomal region in relation to risk of sporadic PTC.
Study Design
We evaluated 157 tag SNPs in the 8q24 chromosomal region between 120.91 Mb and 128.78 Mb (including rs1562430, rs1447295, and rs6983267) in a case-control study of 344 PTC cases and 452 age and gender frequency-matched controls.
Methods
We used logistic regression to estimate odds ratios and compute P-values of linear trend for PTC with genotypes of interest. To account for multiple comparisons, we applied the false discovery rate (FDR) method.
Results
We did not find a significant association between rs1562430, rs1447295, or rs6983267, and PTC risk. We found that one SNP (rs4733616) was associated with PTC risk at P = 0.003, and twelve other SNPs were associated with PTC risk at P < 0.05. However, no SNPs remained significant after FDR correction.
Conclusions
Our findings do not support a strong association between SNPs in the 8q24 chromosomal region and risk of sporadic PTC but several SNPs with small effects might exist.
doi:10.1002/lary.23209
PMCID: PMC3408055  PMID: 22275265
8q24; thyroid cancer

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