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Featured researches published by Younghun Han.


PLOS Genetics | 2010

Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD

Nancy L. Saccone; Robert Culverhouse; Tae-Hwi Schwantes-An; Dale S. Cannon; Xiangning Chen; Sven Cichon; Ina Giegling; Shizhong Han; Younghun Han; Kaisu Keskitalo-Vuokko; Xiangyang Kong; Maria Teresa Landi; Jennie Z. Ma; Susan E. Short; Sarah H. Stephens; Victoria L. Stevens; Lingwei Sun; Yufei Wang; Angela S. Wenzlaff; Steven H. Aggen; Naomi Breslau; Peter Broderick; Nilanjan Chatterjee; Jingchun Chen; Andrew C. Heath; Markku Heliövaara; Nicole R. Hoft; David J. Hunter; Majken K. Jensen; Nicholas G. Martin

Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous CHRNA5 SNP rs16969968 and correlates has been replicated in several independent studies. Extensive genotyping of this region has suggested additional statistically distinct signals for nicotine dependence, tagged by rs578776 and rs588765. One goal of the Consortium for the Genetic Analysis of Smoking Phenotypes (CGASP) is to elucidate the associations among these markers and dichotomous smoking quantity (heavy versus light smoking), lung cancer, and chronic obstructive pulmonary disease (COPD). We performed a meta-analysis across 34 datasets of European-ancestry subjects, including 38,617 smokers who were assessed for cigarettes-per-day, 7,700 lung cancer cases and 5,914 lung-cancer-free controls (all smokers), and 2,614 COPD cases and 3,568 COPD-free controls (all smokers). We demonstrate statistically independent associations of rs16969968 and rs588765 with smoking (mutually adjusted p-values<10−35 and <10−8 respectively). Because the risk alleles at these loci are negatively correlated, their association with smoking is stronger in the joint model than when each SNP is analyzed alone. Rs578776 also demonstrates association with smoking after adjustment for rs16969968 (p<10−6). In models adjusting for cigarettes-per-day, we confirm the association between rs16969968 and lung cancer (p<10−20) and observe a nominally significant association with COPD (p = 0.01); the other loci are not significantly associated with either lung cancer or COPD after adjusting for rs16969968. This study provides strong evidence that multiple statistically distinct loci in this region affect smoking behavior. This study is also the first report of association between rs588765 (and correlates) and smoking that achieves genome-wide significance; these SNPs have previously been associated with mRNA levels of CHRNA5 in brain and lung tissue.


Nature Genetics | 2010

Genome-wide association study of systemic sclerosis identifies CD247 as a new susceptibility locus

Timothy R. D. J. Radstake; Olga Y. Gorlova; Blanca Rueda; José Martín; Behrooz Z. Alizadeh; Rogelio Palomino-Morales; Marieke J. H. Coenen; Madelon C. Vonk; Alexandre E. Voskuyl; Annemie J. Schuerwegh; Jasper Broen; Piet L. C. M. van Riel; Ruben van 't Slot; Annet Italiaander; Roel A. Ophoff; Gabriela Riemekasten; Nico Hunzelmann; Carmen P. Simeon; Norberto Ortego-Centeno; Miguel A. González-Gay; María Francisca González-Escribano; Paolo Airò; Jaap van Laar; Ariane L. Herrick; Jane Worthington; Roger Hesselstrand; Vanessa Smith; Filip De Keyser; F. Houssiau; Meng May Chee

Systemic sclerosis (SSc) is an autoimmune disease characterized by fibrosis of the skin and internal organs that leads to profound disability and premature death. To identify new SSc susceptibility loci, we conducted the first genome-wide association study in a population of European ancestry including a total of 2,296 individuals with SSc and 5,171 controls. Analysis of 279,621 autosomal SNPs followed by replication testing in an independent case-control set of European ancestry (2,753 individuals with SSc (cases) and 4,569 controls) identified a new susceptibility locus for systemic sclerosis at CD247 (1q22–23, rs2056626, P = 2.09 × 10−7 in the discovery samples, P = 3.39 × 10−9 in the combined analysis). Additionally, we confirm and firmly establish the role of the MHC (P = 2.31 × 10−18), IRF5 (P = 1.86 × 10−13) and STAT4 (P = 3.37 × 10−9) gene regions as SSc genetic risk factors.


Nature Genetics | 2010

Variants at IRF5-TNPO3, 17q12-21 and MMEL1 are associated with primary biliary cirrhosis

Gideon M. Hirschfield; Xiangdong Liu; Younghun Han; Ivan P. Gorlov; Yan Lu; Chun Xu; Yue Lu; Wei Chen; Brian D. Juran; Catalina Coltescu; Andrew L. Mason; Piotr Milkiewicz; Robert P. Myers; Joseph A. Odin; Velimir A. Luketic; Danute Speiciene; Catherine Vincent; Cynthia Levy; Peter K. Gregersen; Jinyi Zhang; E. Jenny Heathcote; Konstantinos N. Lazaridis; Christopher I. Amos; Katherine A. Siminovitch

We genotyped individuals with primary biliary cirrhosis and unaffected controls for suggestive risk loci (genome-wide association P < 1 × 10−4) identified in a previous genome-wide association study. Combined analysis of the genome-wide association and replication datasets identified IRF5-TNPO3 (combined P = 8.66 × 10−13), 17q12-21 (combined P = 3.50 × 10−13) and MMEL1 (combined P = 3.15 × 10−8) as new primary biliary cirrhosis susceptibility loci. Fine-mapping studies showed that a single variant accounts for the IRF5-TNPO3 association. As these loci are implicated in other autoimmune conditions, these findings confirm genetic overlap among such diseases.


Nature Genetics | 2014

Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer

Yufei Wang; James D. McKay; Thorunn Rafnar; Zhaoming Wang; Maria Timofeeva; Peter Broderick; Xuchen Zong; Marina Laplana; Yongyue Wei; Younghun Han; Amy Lloyd; Manon Delahaye-Sourdeix; Daniel Chubb; Valerie Gaborieau; William Wheeler; Nilanjan Chatterjee; Gudmar Thorleifsson; Patrick Sulem; Geoffrey Liu; Rudolf Kaaks; Marc Henrion; Ben Kinnersley; Maxime P. Vallée; Florence LeCalvez-Kelm; Victoria L. Stevens; Susan M. Gapstur; Wei Chen; David Zaridze; Neonilia Szeszenia-Dabrowska; Jolanta Lissowska

We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 × 10−20) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 × 10−13). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 × 10−10) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.


Human Molecular Genetics | 2012

Influence of common genetic variation on lung cancer risk: meta-analysis of 14 900 cases and 29 485 controls

Mn Timofeeva; Rayjean J. Hung; Thorunn Rafnar; David C. Christiani; John K. Field; Heike Bickeböller; Angela Risch; James D. McKay; Yunfei Wang; Juncheng Dai; Gaborieau; John R. McLaughlin; D Brenner; Steven A. Narod; Ne. Caporaso; D Albanes; Michael J. Thun; T. Eisen; H-Erich Wichmann; Albert Rosenberger; Younghun Han; Wei Vivien Chen; D. K. Zhu; Margaret R. Spitz; Xifeng Wu; Mala Pande; Yun Zhao; David Zaridze; Neonilia Szeszenia-Dabrowska; Jolanta Lissowska

Recent genome-wide association studies (GWASs) have identified common genetic variants at 5p15.33, 6p21–6p22 and 15q25.1 associated with lung cancer risk. Several other genetic regions including variants of CHEK2 (22q12), TP53BP1 (15q15) and RAD52 (12p13) have been demonstrated to influence lung cancer risk in candidate- or pathway-based analyses. To identify novel risk variants for lung cancer, we performed a meta-analysis of 16 GWASs, totaling 14 900 cases and 29 485 controls of European descent. Our data provided increased support for previously identified risk loci at 5p15 (P = 7.2 × 10−16), 6p21 (P = 2.3 × 10−14) and 15q25 (P = 2.2 × 10−63). Furthermore, we demonstrated histology-specific effects for 5p15, 6p21 and 12p13 loci but not for the 15q25 region. Subgroup analysis also identified a novel disease locus for squamous cell carcinoma at 9p21 (CDKN2A/p16INK4A/p14ARF/CDKN2B/p15INK4B/ANRIL; rs1333040, P = 3.0 × 10−7) which was replicated in a series of 5415 Han Chinese (P = 0.03; combined analysis, P = 2.3 × 10−8). This large analysis provides additional evidence for the role of inherited genetic susceptibility to lung cancer and insight into biological differences in the development of the different histological types of lung cancer.


Human Molecular Genetics | 2011

Genome-wide association study identifies novel loci predisposing to cutaneous melanoma

Christopher I. Amos; Li-E Wang; Jeffrey E. Lee; Jeffrey E. Gershenwald; Wei Chen; Shenying Fang; Roman Kosoy; Mingfeng Zhang; Abrar A. Qureshi; Selina Vattathil; Christopher W. Schacherer; Julie M. Gardner; Yuling Wang; D. Tim Bishop; Jennifer H. Barrett; Stuart Macgregor; Nicholas K. Hayward; Nicholas G. Martin; David L. Duffy; Graham J. Mann; Anne E. Cust; John L. Hopper; Kevin M. Brown; Elizabeth A. Grimm; Yaji Xu; Younghun Han; Kaiyan Jing; Caitlin P. McHugh; Cathy C. Laurie; Kim Doheny

We performed a multistage genome-wide association study of melanoma. In a discovery cohort of 1804 melanoma cases and 1026 controls, we identified loci at chromosomes 15q13.1 (HERC2/OCA2 region) and 16q24.3 (MC1R) regions that reached genome-wide significance within this study and also found strong evidence for genetic effects on susceptibility to melanoma from markers on chromosome 9p21.3 in the p16/ARF region and on chromosome 1q21.3 (ARNT/LASS2/ANXA9 region). The most significant single-nucleotide polymorphisms (SNPs) in the 15q13.1 locus (rs1129038 and rs12913832) lie within a genomic region that has profound effects on eye and skin color; notably, 50% of variability in eye color is associated with variation in the SNP rs12913832. Because eye and skin colors vary across European populations, we further evaluated the associations of the significant SNPs after carefully adjusting for European substructure. We also evaluated the top 10 most significant SNPs by using data from three other genome-wide scans. Additional in silico data provided replication of the findings from the most significant region on chromosome 1q21.3 rs7412746 (P = 6 × 10(-10)). Together, these data identified several candidate genes for additional studies to identify causal variants predisposing to increased risk for developing melanoma.


American Journal of Epidemiology | 2012

Genetic Variants on 15q25.1, Smoking, and Lung Cancer: An Assessment of Mediation and Interaction

Tyler J. VanderWeele; Kofi Asomaning; Eric J. Tchetgen Tchetgen; Younghun Han; Margaret R. Spitz; Sanjay Shete; Xifeng Wu; Valerie Gaborieau; Ying Wang; John R. McLaughlin; Rayjean J. Hung; Paul Brennan; Christopher I. Amos; David C. Christiani; Xihong Lin

Genome-wide association studies have identified variants on chromosome 15q25.1 that increase the risks of both lung cancer and nicotine dependence and associated smoking behavior. However, there remains debate as to whether the association with lung cancer is direct or is mediated by pathways related to smoking behavior. Here, the authors apply a novel method for mediation analysis, allowing for gene-environment interaction, to a lung cancer case-control study (1992-2004) conducted at Massachusetts General Hospital using 2 single nucleotide polymorphisms, rs8034191 and rs1051730, on 15q25.1. The results are validated using data from 3 other lung cancer studies. Tests for additive interaction (P = 2 × 10(-10) and P = 1 × 10(-9)) and multiplicative interaction (P = 0.01 and P = 0.01) were significant. Pooled analyses yielded a direct-effect odds ratio of 1.26 (95% confidence interval (CI): 1.19, 1.33; P = 2 × 10(-15)) for rs8034191 and an indirect-effect odds ratio of 1.01 (95% CI: 1.00, 1.01; P = 0.09); the proportion of increased risk mediated by smoking was 3.2%. For rs1051730, direct- and indirect-effect odds ratios were 1.26 (95% CI: 1.19, 1.33; P = 1 × 10(-15)) and 1.00 (95% CI: 0.99, 1.01; P = 0.22), respectively, with a proportion mediated of 2.3%. Adjustment for measurement error in smoking behavior allowing up to 75% measurement error increased the proportions mediated to 12.5% and 9.2%, respectively. These analyses indicate that the association of the variants with lung cancer operates primarily through other pathways.


Genetic Epidemiology | 2012

Smoking and genetic risk variation across populations of European, Asian, and African American ancestry--a meta-analysis of chromosome 15q25.

Li-Shiun Chen; Nancy L. Saccone; Robert Culverhouse; Paige M. Bracci; Chien-Hsiun Chen; Nicole Dueker; Younghun Han; Hongyan Huang; Guangfu Jin; Takashi Kohno; Jennie Z. Ma; Thomas R. Przybeck; Alan R. Sanders; Jennifer A. Smith; Yun Ju Sung; Angie S. Wenzlaff; Chen Wu; Dankyu Yoon; Ying Ting Chen; Yu Ching Cheng; Yoon Shin Cho; Sean P. David; Jubao Duan; Charles B. Eaton; Helena Furberg; Alison Goate; Dongfeng Gu; Helen M. Hansen; Sarah M. Hartz; Zhibin Hu

Recent meta‐analyses of European ancestry subjects show strong evidence for association between smoking quantity and multiple genetic variants on chromosome 15q25. This meta‐analysis extends the examination of association between distinct genes in the CHRNA5‐CHRNA3‐CHRNB4 region and smoking quantity to Asian and African American populations to confirm and refine specific reported associations. Association results for a dichotomized cigarettes smoked per day phenotype in 27 datasets (European ancestry (N = 14,786), Asian (N = 6,889), and African American (N = 10,912) for a total of 32,587 smokers) were meta‐analyzed by population and results were compared across all three populations. We demonstrate association between smoking quantity and markers in the chromosome 15q25 region across all three populations, and narrow the region of association. Of the variants tested, only rs16969968 is associated with smoking (P < 0.01) in each of these three populations (odds ratio [OR] = 1.33, 95% CI = 1.25–1.42, P = 1.1 × 10−17 in meta‐analysis across all population samples). Additional variants displayed a consistent signal in both European ancestry and Asian datasets, but not in African Americans. The observed consistent association of rs16969968 with heavy smoking across multiple populations, combined with its known biological significance, suggests rs16969968 is most likely a functional variant that alters risk for heavy smoking. We interpret additional association results that differ across populations as providing evidence for additional functional variants, but we are unable to further localize the source of this association. Using the cross‐population study paradigm provides valuable insights to narrow regions of interest and inform future biological experiments. Genet. Epidemiol. 36:340–351, 2012.


Journal of the National Cancer Institute | 2015

CHRNA5 Risk Variant Predicts Delayed Smoking Cessation and Earlier Lung Cancer Diagnosis—A Meta-Analysis

Li-Shiun Chen; Rayjean J. Hung; Timothy B. Baker; Amy C. Horton; Rob Culverhouse; Nancy L. Saccone; Iona Cheng; Bo Deng; Younghun Han; Helen M. Hansen; Janet Horsman; Claire H. Kim; Sharon M. Lutz; Albert Rosenberger; Katja K. Aben; Angeline S. Andrew; Naomi Breslau; Shen Chih Chang; Aida Karina Dieffenbach; Hendrik Dienemann; Brittni Frederiksen; Jiali Han; Dorothy K. Hatsukami; Eric O. Johnson; Mala Pande; Margaret Wrensch; John McLaughlin; Vidar Skaug; Henricus F. M. van der Heijden; Jason A. Wampfler

BACKGROUND Recent meta-analyses show strong evidence of associations among genetic variants in CHRNA5 on chromosome 15q25, smoking quantity, and lung cancer. This meta-analysis tests whether the CHRNA5 variant rs16969968 predicts age of smoking cessation and age of lung cancer diagnosis. METHODS Meta-analyses examined associations between rs16969968, age of quitting smoking, and age of lung cancer diagnosis in 24 studies of European ancestry (n = 29 072). In each dataset, we used Cox regression models to evaluate the association between rs16969968 and the two primary phenotypes (age of smoking cessation among ever smokers and age of lung cancer diagnosis among lung cancer case patients) and the secondary phenotype of smoking duration. Heterogeneity across studies was assessed with the Cochran Q test. All statistical tests were two-sided. RESULTS The rs16969968 allele (A) was associated with a lower likelihood of smoking cessation (hazard ratio [HR] = 0.95, 95% confidence interval [CI] = 0.91 to 0.98, P = .0042), and the AA genotype was associated with a four-year delay in median age of quitting compared with the GG genotype. Among smokers with lung cancer diagnoses, the rs16969968 genotype (AA) was associated with a four-year earlier median age of diagnosis compared with the low-risk genotype (GG) (HR = 1.08, 95% CI = 1.04 to 1.12, P = 1.1*10(-5)). CONCLUSION These data support the clinical significance of the CHRNA5 variant rs16969968. It predicts delayed smoking cessation and an earlier age of lung cancer diagnosis in this meta-analysis. Given the existing evidence that this CHRNA5 variant predicts favorable response to cessation pharmacotherapy, these findings underscore the potential clinical and public health importance of rs16969968 in CHRNA5 in relation to smoking cessation success and lung cancer risk.


Carcinogenesis | 2012

Genome-wide gene–environment interaction analysis for asbestos exposure in lung cancer susceptibility

Sheng Wei; Li E. Wang; Michelle K. McHugh; Younghun Han; Momiao Xiong; Christopher I. Amos; Margaret R. Spitz; Qingyi Wei Wei

Abstract Asbestos exposure is a known risk factor for lung cancer. Although recent genome-wide association studies (GWASs) have identified some novel loci for lung cancer risk, few addressed genome-wide gene–environment interactions. To determine gene–asbestos interactions in lung cancer risk, we conducted genome-wide gene–environment interaction analyses at levels of single nucleotide polymorphisms (SNPs), genes and pathways, using our published Texas lung cancer GWAS dataset. This dataset included 317 498 SNPs from 1154 lung cancer cases and 1137 cancer-free controls. The initial SNP-level P -values for interactions between genetic variants and self-reported asbestos exposure were estimated by unconditional logistic regression models with adjustment for age, sex, smoking status and pack-years. The P- value for the most significant SNP rs13383928 was 2.17×10 –6 , which did not reach the genome-wide statistical significance. Using a versatile gene-based test approach, we found that the top significant gene was C7orf54 , located on 7q32.1 ( P = 8.90×10 –5 ). Interestingly, most of the other significant genes were located on 11q13. When we used an improved gene-set-enrichment analysis approach, we found that the Fas signaling pathway and the antigen processing and presentation pathway were most significant (nominal P < 0.001; false discovery rate < 0.05) among 250 pathways containing 17 572 genes. We believe that our analysis is a pilot study that first describes the gene–asbestos interaction in lung cancer risk at levels of SNPs, genes and pathways. Our findings suggest that immune function regulation-related pathways may be mechanistically involved in asbestos-associated lung cancer risk. Abbreviations:CI confidence intervalE environmentFDR false discovery rateG geneGSEA gene-set-enrichment analysisGWAS genome-wide association studiesi-GSEA improved gene-set-enrichment analysis approachOR odds ratioSNP single nucleotide polymorphism

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Maria Teresa Landi

National Institutes of Health

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Neil E. Caporaso

National Institutes of Health

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Paul Brennan

International Agency for Research on Cancer

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James D. McKay

International Agency for Research on Cancer

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Richard S. Houlston

Institute of Cancer Research

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