Sungshim Lani Park
University of Southern California
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Featured researches published by Sungshim Lani Park.
PLOS ONE | 2017
Robert Carreras-Torres; Mattias Johansson; Philip Haycock; Kaitlin H Wade; Caroline L Relton; Richard M. Martin; George Davey Smith; Demetrius Albanes; Melinda C. Aldrich; Angeline S. Andrew; Susanne M. Arnold; Heike Bickeböller; Stig E. Bojesen; Hans Brunnström; Jonas Manjer; Irene Brüske; Neil E. Caporaso; Chu Chen; David C. Christiani; W. Jay Christian; Jennifer A. Doherty; Eric J. Duell; John K. Field; Michael P.A. Davies; Michael W. Marcus; Gary E. Goodman; Kjell Grankvist; Aage Haugen; Yun-Chul Hong; Lambertus A. Kiemeney
Background Assessing the relationship between lung cancer and metabolic conditions is challenging because of the confounding effect of tobacco. Mendelian randomization (MR), or the use of genetic instrumental variables to assess causality, may help to identify the metabolic drivers of lung cancer. Methods and findings We identified genetic instruments for potential metabolic risk factors and evaluated these in relation to risk using 29,266 lung cancer cases (including 11,273 adenocarcinomas, 7,426 squamous cell and 2,664 small cell cases) and 56,450 controls. The MR risk analysis suggested a causal effect of body mass index (BMI) on lung cancer risk for two of the three major histological subtypes, with evidence of a risk increase for squamous cell carcinoma (odds ratio (OR) [95% confidence interval (CI)] = 1.20 [1.01–1.43] and for small cell lung cancer (OR [95%CI] = 1.52 [1.15–2.00]) for each standard deviation (SD) increase in BMI [4.6 kg/m2]), but not for adenocarcinoma (OR [95%CI] = 0.93 [0.79–1.08]) (Pheterogeneity = 4.3x10-3). Additional analysis using a genetic instrument for BMI showed that each SD increase in BMI increased cigarette consumption by 1.27 cigarettes per day (P = 2.1x10-3), providing novel evidence that a genetic susceptibility to obesity influences smoking patterns. There was also evidence that low-density lipoprotein cholesterol was inversely associated with lung cancer overall risk (OR [95%CI] = 0.90 [0.84–0.97] per SD of 38 mg/dl), while fasting insulin was positively associated (OR [95%CI] = 1.63 [1.25–2.13] per SD of 44.4 pmol/l). Sensitivity analyses including a weighted-median approach and MR-Egger test did not detect other pleiotropic effects biasing the main results. Conclusions Our results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma. The latter relation may be mediated by a previously unrecognized effect of obesity on smoking behavior.
PLOS Genetics | 2013
Sarah A. Pendergrass; Kristin Brown-Gentry; Scott M. Dudek; Alex T. Frase; Eric S. Torstenson; Robert Goodloe; José Luis Ambite; Christy L. Avery; Steve Buyske; Petra Bůžková; Ewa Deelman; Megan D. Fesinmeyer; Christopher A. Haiman; Gerardo Heiss; Lucia A. Hindorff; Chu Nan Hsu; Rebecca D. Jackson; Charles Kooperberg; Loic Le Marchand; Yi Lin; Tara C. Matise; Kristine R. Monroe; Larry W. Moreland; Sungshim Lani Park; Alex P. Reiner; Robert B. Wallace; Lynn R. Wilkens; Dana C. Crawford; Marylyn D. Ritchie
Using a phenome-wide association study (PheWAS) approach, we comprehensively tested genetic variants for association with phenotypes available for 70,061 study participants in the Population Architecture using Genomics and Epidemiology (PAGE) network. Our aim was to better characterize the genetic architecture of complex traits and identify novel pleiotropic relationships. This PheWAS drew on five population-based studies representing four major racial/ethnic groups (European Americans (EA), African Americans (AA), Hispanics/Mexican-Americans, and Asian/Pacific Islanders) in PAGE, each site with measurements for multiple traits, associated laboratory measures, and intermediate biomarkers. A total of 83 single nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWAS) were genotyped across two or more PAGE study sites. Comprehensive tests of association, stratified by race/ethnicity, were performed, encompassing 4,706 phenotypes mapped to 105 phenotype-classes, and association results were compared across study sites. A total of 111 PheWAS results had significant associations for two or more PAGE study sites with consistent direction of effect with a significance threshold of p<0.01 for the same racial/ethnic group, SNP, and phenotype-class. Among results identified for SNPs previously associated with phenotypes such as lipid traits, type 2 diabetes, and body mass index, 52 replicated previously published genotype–phenotype associations, 26 represented phenotypes closely related to previously known genotype–phenotype associations, and 33 represented potentially novel genotype–phenotype associations with pleiotropic effects. The majority of the potentially novel results were for single PheWAS phenotype-classes, for example, for CDKN2A/B rs1333049 (previously associated with type 2 diabetes in EA) a PheWAS association was identified for hemoglobin levels in AA. Of note, however, GALNT2 rs2144300 (previously associated with high-density lipoprotein cholesterol levels in EA) had multiple potentially novel PheWAS associations, with hypertension related phenotypes in AA and with serum calcium levels and coronary artery disease phenotypes in EA. PheWAS identifies associations for hypothesis generation and exploration of the genetic architecture of complex traits.
International Journal of Cancer | 2010
Sungshim Lani Park; Marc T. Goodman; Zuo-Feng Zhang; Laurence N. Kolonel; Brian E. Henderson; Veronica Wendy Setiawan
The effect of body size and change in BMI on endometrial cancer risk across different racial/ethnic groups has not been studied. We examined the association between body size and endometrial cancer risk and potential effect modification of other risk factors among 50,376 women in the Multiethnic Cohort Study. During 10.3 years of follow‐up, 463 endometrial cancer cases were identified. Epidemiologic data were collected from the baseline questionnaire. “BMI change” was defined as the percentage of body mass index change from age 21 to the time of recruitment. Women who were heavier at age 21 or at baseline (weight ≥ 53.5 kg or ≥ 63.9 kg, respectively) had an increased endometrial cancer risk compared to the lowest quartile of weight during the respective periods. BMI gain ≥ 35% had a RR of 4.12 (95% CI: 2.69, 6.30) compared to the reference group (−5% ≤ BMI change <+5%). Women who averaged an annual BMI gain ≥ 1% had a >3.21‐fold (95% CI: 2.37, 4.33) increased risk compared to women who maintained a stable adult BMI (−0.25 to <+0.25%). The highest risk associated with BMI gain was observed among nulliparous women and postmenopausal women who never used hormone therapy. Although African Americans and Whites showed an increase in risk after ≥35% BMI gain, Japanese Americans showed an increase in risk with much smaller gain (≥5%). In conclusion, adult obesity and increase in adiposity are risk factors for endometrial cancer; and the risk associated with these factors may vary across racial/ethnic groups.
Carcinogenesis | 2014
Sharon E. Murphy; Sungshim Lani Park; Elizabeth F. Thompson; Lynne R. Wilkens; Yesha M. Patel; Daniel O. Stram; Loic Le Marchand
Nicotine metabolism influences smoking behavior and differences in metabolism probably contribute to ethnic variability in lung cancer risk. We report here on the proportion of nicotine metabolism by cytochrome P450 2A6-catalyzed C-oxidation, UDP-glucuronosyl transferase 2B10 (UGT2B10)-catalyzed N-glucuronidation and flavin monooxygenase 3-catalyzed N-oxidation in five ethnic/racial groups and the role of UGT2B10 genotype on the metabolic patterns observed. Nicotine and its metabolites were quantified in urine from African American (AA, n = 364), Native Hawaiian (NH, n = 311), White (n = 437), Latino (LA, n = 453) and Japanese American (JA, n = 674) smokers. Total nicotine equivalents, the sum of nicotine and six metabolites, and nicotine metabolism phenotypes were calculated. The relationship of UGT2B10 genotype to nicotine metabolic pathways was determined for each group; geometric means were computed and adjusted for age, sex, creatinine, and body mass index. Nicotine metabolism patterns were unique across the groups, C-oxidation was lowest in JA and NH (P < 0.0001), and N-glucuronidation lowest in AA (P < 0.0001). There was no difference in C-oxidation among Whites and AA and LA. Nicotine and cotinine glucuronide ratios were 2- and 3-fold lower in AA compared with Whites. Two UGT variants, a missense mutation (Asp67Tyr, rs61750900) and a splice variant (rs116294140) accounted for 33% of the variation in glucuronidation. In AA, the splice variant accounted for the majority of the reduced nicotine glucuronidation. UGT2B10 variant allele carriers had increased levels of C-oxidation (P = 0.0099). Our data indicate that the relative importance of nicotine metabolic pathways varies by ethnicity, and all pathways should be considered when characterizing the role of nicotine metabolism on smoking behavior and cancer risk.
Cancer Epidemiology, Biomarkers & Prevention | 2008
Sungshim Lani Park; Shen-Chih Chang; Lin Cai; Carlos Cordon-Cardo; Bao-Guo Ding; Sander Greenland; Shehnaz K. Hussain; Qingwu Jiang; Simin Liu; Ming-Lan Lu; Jenny T. Mao; Hal Morgenstern; Lina Mu; Leslie Ng; Allan J. Pantuck; Jianyu Rao; Victor E. Reuter; Donald P. Tashkin; Nai-Chieh Y. You; Can-Qing Yu; Shun-Zhang Yu; Jinkou Zhao; Arie S. Belldegrun; Zuo-Feng Zhang
Recent genome-wide association studies identified key single nucleotide polymorphisms (SNPs) in the 8q24 region to be associated with prostate cancer. 8q24 SNPs have also been associated with colorectal cancer, suggesting that this region may not be specifically associated to just prostate cancer. To date, the association between these polymorphisms and tobacco smoking-related cancer sites remains unknown. Using epidemiologic data and biological samples previously collected in three case-control studies from U.S. and Chinese populations, we selected and genotyped one SNP from each of the three previously determined “regions” within the 8q24 loci, rs1447295 (region 1), rs16901979 (region 2), and rs6983267 (region 3), and examined their association with cancers of the lung, oropharynx, nasopharynx, larynx, esophagus, stomach, liver, bladder, and kidney. We observed noteworthy associations between rs6983267 and upper aerodigestive tract cancers [adjusted odds ratio (ORadj), 1.69; 95% confidence interval (95% CI), 1.28-2.24], particularly in oropharynx (ORadj, 1.80; 95% CI, 1.30-2.49) and larynx (ORadj, 2.04; 95% CI, 1.12-3.72). We also observed a suggestive association between rs6983267 and liver cancer (ORadj, 1.51; 95% CI, 0.99-2.31). When we stratified our analysis by smoking status, rs6983267 was positively associated with lung cancer among ever-smokers (ORadj, 1.45; 95% CI, 1.05-2.00) and inversely associated with bladder cancer among ever-smokers (ORadj, 0.35; 95% CI, 0.14-0.83). Associations were observed between rs16901979 and upper aerodigestive tract cancer among never-smokers and between rs1447295 and liver cancer among ever-smokers. Our results suggest variants of the 8q24 chromosome may play an important role in smoking-related cancer development. Functional and large epidemiologic studies should be conducted to further investigate the association of 8q24 SNPs with smoking-related cancers. (Cancer Epidemiol Biomarkers Prev 2008;17(11):3193–202)
Carcinogenesis | 2010
Sungshim Lani Park; Delara Bastani; Binh Y. Goldstein; Shen-Chih Chang; Wendy Cozen; Lin Cai; Carlos Cordon-Cardo; Bao-Guo Ding; Sander Greenland; Na He; Shehnaz K. Hussain; Qingwu Jiang; Yuan-Chin A. Lee; Simin Liu; Ming-Lan Lu; Thomas M. Mack; Jenny T. Mao; Hal Morgenstern; Lina Mu; Sam S. Oh; Allan J. Pantuck; Jeanette C. Papp; Jianyu Rao; Victor E. Reuter; Donald P. Tashkin; Hua Wang; Nai-Chieh Y. You; Shun-Zhang Yu; Jinkou Zhao; Zuo-Feng Zhang
Constituents of tobacco smoke can cause DNA double-strand breaks (DSBs), leading to tumorigenesis. The NBS1 gene product is a vital component in DSB detection and repair, thus genetic variations may influence cancer development. We examined the associations between NBS1 polymorphisms and haplotypes and newly incident smoking-related cancers in three case-control studies (Los Angeles: 611 lung and 601 upper aero-digestive tract (UADT) cancer cases and 1040 controls; Memorial Sloan-Kettering Cancer Center: 227 bladder cancer cases and 211 controls and Taixing, China: 218 esophagus, 206 stomach, 204 liver cancer cases and 415 controls). rs1061302 was associated with cancers of the lung [adjusted odds ratio (OR(adj)) = 1.6, 95% confidence interval (CI): 1.2, 2.4], larynx (OR(adj) = 0.56, 95% CI: 0.32, 0.97) and liver (OR(adj) = 1.7, 95% CI: 1.0, 2.9). Additionally, positive associations were found for rs709816 with bladder cancer (OR(adj) = 4.2, 95% CI: 1.4, 12) and rs1063054 with lung cancer (OR(adj) = 1.6, 95% CI: 1.0, 2.3). Some associations in lung and stomach cancers varied with smoking status. CAC haplotype was positively associated with smoking-related cancers: lung (OR(adj) = 1.7, 95% CI: 1.1, 2.9) and UADT (OR(adj) = 2.0, 95% CI: 1.1, 3.7), specifically, oropharynx (OR(adj) = 2.1, 95% CI: 1.0, 4.2) and larynx (OR(adj) = 4.8, 95% CI: 1.7, 14). Bayesian false-discovery probabilities were calculated to assess Type I error. It appears that NBS1 polymorphisms and haplotypes may be associated with smoking-related cancers and that these associations may differ by smoking status. Our findings also suggest that single-nucleotide polymorphisms located in the binding region of the MRE-RAD50-NBS1 complex or microRNA targeted pathways may influence tumor development. These hypotheses should be further examined in functional studies.
Cancer Epidemiology, Biomarkers & Prevention | 2015
Yesha M. Patel; Daniel O. Stram; Lynne R. Wilkens; Sungshim Lani Park; Brian E. Henderson; Loic Le Marchand; Christopher A. Haiman; Sharon E. Murphy
Background: The lung cancer risk of smokers varies by race/ethnicity even after adjustment for smoking. Evaluating the role of genetics in nicotine metabolism is likely important in understanding these differences, as disparities in risk may be related to differences in nicotine dose and metabolism. Methods: We conducted a genome-wide association study in search of common genetic variants that predict nicotine and cotinine glucuronidation in a sample of 2,239 smokers (437 European Americans, 364 African Americans, 453 Latinos, 674 Japanese Americans, and 311 Native Hawaiians) in the Multiethnic Cohort Study. Urinary concentration of nicotine and its metabolites were determined. Results: Among 11,892,802 variants analyzed, 1,241 were strongly associated with cotinine glucuronidation, 490 of which were also associated with nicotine glucuronidation (P < 5×10−8). The vast majority were within chromosomal region 4q13, near UGT2B10. Fifteen independent and globally significant SNPs explained 33.2% of the variation in cotinine glucuronidation, ranging from 55% for African Americans to 19% for Japanese Americans. The strongest single SNP association was for rs115765562 (P = 1.60 × 10−155). This SNP is highly correlated with a UGT2B10 splice site variant, rs116294140, which together with rs6175900 (Asp67Tyr) explains 24.3% of the variation. The top SNP for nicotine glucuronidation (rs116224959, P = 2.56 × 10−43) was in high LD (r2 = 0.99) with rs115765562. Conclusions: Genetic variation in UGT2B10 contributes significantly to nicotine and cotinine glucuronidation but not to nicotine dose. Impact: The contribution of genetic variation to nicotine and cotinine glucuronidation varies significantly by racial/ethnic group, but is unlikely to contribute directly to lung cancer risk. Cancer Epidemiol Biomarkers Prev; 24(1); 119–27. ©2014 AACR.
International Journal of Cancer | 2010
Sam S. Oh; Shen-Chih Chang; Lin Cai; Carlos Cordon-Cardo; Bao-Guo Ding; Sander Greenland; Na He; Qingwu Jiang; Leeka Kheifets; Anh Le; Yuan-Chin Amy Lee; Simin Liu; Ming-Lan Lu; Jenny T. Mao; Hal Morgenstern; Lina Mu; Allan J. Pantuck; Jeanette C. Papp; Sungshim Lani Park; Jianyu Rao; Victor E. Reuter; Donald P. Tashkin; Hua Wang; Nai-Chieh Y. You; Shun-Zhang Yu; Jinkou Zhao; Arie S. Belldegrun; Zuo-Feng Zhang
Tobacco smoke and its metabolites are carcinogens that increase tissue oxidative stress and induce target tissue inflammation. We hypothesized that genetic variation of inflammatory pathway genes plays a role in tobacco‐related carcinogenesis and is modified by tobacco smoking. We evaluated the association of 12 single nucleotide polymorphisms of 8 inflammation‐related genes with tobacco‐related cancers (lung, oropharynx, larynx, esophagus, stomach, liver, bladder, and kidney) using 3 case‐control studies from: Los Angeles (population‐based; 611 lung and 553 upper aero‐digestive tract cancer cases and 1,040 controls), Taixing, China (population‐based; 218 esophagus, 206 stomach, 204 liver cancer cases, and 415 controls), and Memorial Sloan‐Kettering Cancer Center (hospital‐based; 227 bladder cancer cases and 211 controls). After adjusting for age, education, ethnicity, gender, and tobacco smoking, IL10 rs1800871 was inversely associated with oropharyngeal cancer (CT+TT vs. CC adjusted odds ratio [aOR]: 0.69, 95% confidence interval [CI]: 0.50–0.95), and was positively associated with lung cancer among never smokers (TT vs. CT+CC aOR: 2.5, 95% CI: 1.3–5.1) and inversely with oropharyngeal cancer among ever smokers (CT+TT vs. CC aOR: 0.63, 95% CI: 0.41–0.95). Among all pooled never smokers (588 cases and 816 controls), TNF rs1799964 was inversely associated with smoking‐related cancer (CC vs. CT+TT aOR: 0.36, 95% CI: 0.17–0.77). Bayesian correction for multiple comparisons suggests that chance is unlikely to explain our findings (although epigenetic mechanisms may be in effect), which support our hypotheses, suggesting that IL10 rs1800871 is a susceptibility marker for oropharyngeal and lung cancers, and that TNF rs1799964 is associated with smoking‐related cancers among never smokers.
Cancer Epidemiology, Biomarkers & Prevention | 2009
Shehnaz K. Hussain; Lina Mu; Lin Cai; Shen-Chih Chang; Sungshim Lani Park; Sam S. Oh; Yiren Wang; Binh Y. Goldstein; Bao-Guo Ding; Qingwu Jiang; Jianyu Rao; Nai-Chieh Y. You; Shun-Zhang Yu; Jeanette C. Papp; Jinkou Zhao; Hua Wang; Zuo-Feng Zhang
The incidence of stomach cancer is high in certain parts of the world, particularly in China. Chronic Helicobacter pylori infection is the main risk factor, yet the vast majority of infected individuals remain unaffected with cancer, suggesting an important role of other risk factors. We conducted a population-based case-control study including 196 incident stomach cancer cases and 397 matched controls to test the hypothesis that adverse single nucleotide polymorphism (SNP) genotypes and haplotypes within genes of the DNA repair and immune regulatory pathways are associated with increased stomach cancer risk. Genomic DNA isolated from blood samples was used for genotyping, and results were obtained for 57 putatively functional SNPs in 28 genes. Odds ratios (OR) and 95% confidence intervals (95% CI) were obtained from adjusted logistic regression models. For PTGS2, a gene involved in the inflammatory response, associations with stomach cancer risk were observed for TC genotype carriers of rs5279 (OR, 0.24; 95% CI, 0.08-0.73), CT genotype carriers of the 3′-untranslated region SNP rs689470 (OR, 7.49; 95% CI, 1.21-46.20), and CTTC haplotype carriers of rs5277, rs5278, rs5279, and rs689470 (OR, 0.41; 95% CI, 0.18-0.95). For ERCC5, a gene involved in nucleotide excision repair, TC genotype carriers of rs1047768 (OR, 0.65; 95% CI, 0.41-1.03), GC genotype carriers of the nonsynonymous SNP rs2227869 (OR, 0.30; 95% CI, 0.13-0.67), and CCG haplotype carriers of rs1047768, rs17655, and rs2227869 (OR, 0.45; 95% CI, 0.20-1.04) were associated with reduced stomach cancer risk. In conclusion, PTGS2 and ERCC5 were associated with stomach cancer risk in a Chinese population. (Cancer Epidemiol Biomarkers Prev 2009;18(8):2304–9)
Gut | 2014
Iona Cheng; Jonathan M. Kocarnik; Logan Dumitrescu; Noralane M. Lindor; Jenny Chang-Claude; Christy L. Avery; Christian Caberto; Shelly Ann Love; Martha L. Slattery; Andrew T. Chan; John A. Baron; Lucia A. Hindorff; Sungshim Lani Park; Fredrick R. Schumacher; Michael Hoffmeister; Peter Kraft; Anne M. Butler; David Duggan; Lifang Hou; Christopher S. Carlson; Kristine R. Monroe; Yi Lin; Cara L. Carty; Sue L. Mann; Jing Ma; Edward Giovannucci; Charles S. Fuchs; Polly A. Newcomb; Mark A. Jenkins; John L. Hopper
Objective Genome-wide association studies have identified a large number of single nucleotide polymorphisms (SNPs) associated with a wide array of cancer sites. Several of these variants demonstrate associations with multiple cancers, suggesting pleiotropic effects and shared biological mechanisms across some cancers. We hypothesised that SNPs previously associated with other cancers may additionally be associated with colorectal cancer. In a large-scale study, we examined 171 SNPs previously associated with 18 different cancers for their associations with colorectal cancer. Design We examined 13 338 colorectal cancer cases and 40 967 controls from three consortia: Population Architecture using Genomics and Epidemiology (PAGE), Genetic Epidemiology of Colorectal Cancer (GECCO), and the Colon Cancer Family Registry (CCFR). Study-specific logistic regression results, adjusted for age, sex, principal components of genetic ancestry, and/or study specific factors (as relevant) were combined using fixed-effect meta-analyses to evaluate the association between each SNP and colorectal cancer risk. A Bonferroni-corrected p value of 2.92×10−4 was used to determine statistical significance of the associations. Results Two correlated SNPs—rs10090154 and rs4242382—in Region 1 of chromosome 8q24, a prostate cancer susceptibility region, demonstrated statistically significant associations with colorectal cancer risk. The most significant association was observed with rs4242382 (meta-analysis OR=1.12; 95% CI 1.07 to 1.18; p=1.74×10−5), which also demonstrated similar associations across racial/ethnic populations and anatomical sub-sites. Conclusions This is the first study to clearly demonstrate Region 1 of chromosome 8q24 as a susceptibility locus for colorectal cancer; thus, adding colorectal cancer to the list of cancer sites linked to this particular multicancer risk region at 8q24.