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343 results on '"Zheng, Hou Feng"'

1. SEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations

Author

Yang, Meng-Yuan, Zhong, Jia-Dong, Li, Xin, Tian, Geng, Bai, Wei-Yang, Fang, Yi-Hu, Qiu, Mo-Chang, Yuan, Cheng-Da, Yu, Chun-Fu, Li, Nan, Yang, Ji-Jian, Liu, Yu-Heng, Yu, Shi-Hui, Zhao, Wei-Wei, Liu, Jun-Quan, Sun, Yi, Cong, Pei-Kuan, Khederzadeh, Saber, Zhao, Pian-Pian, Qian, Yu, Guan, Peng-Lin, Gu, Jia-Xuan, Gai, Si-Rui, Yi, Xiang-Jiao, Tao, Jian-Guo, Chen, Xiang, Miao, Mao-Mao, Lei, Lan-Xin, Xu, Lin, Xie, Shu-Yang, Li, Jin-Chen, Guo, Ji-Feng, Karasik, David, Yang, Liu, Tang, Bei-Sha, Huang, Fei, and Zheng, Hou-Feng

Published
2024
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3. A regulatory mutant on TRIM26 conferring the risk of nasopharyngeal carcinoma by inducing low immune response

Author

Lyu, Xiao‐Ming, Zhu, Xiao‐Wei, Zhao, Manli, Zuo, Xian‐Bo, Huang, Zhong‐Xi, Liu, Xiao, Jiang, Tao, Yang, Xue‐Xi, Li, Xin, Long, Xiao‐Bing, Wang, Jian‐Guo, Li, Jin‐Bang, Han, Ming‐Yu, Wang, Shuang, Liu, Teng‐Fei, Zhang, Bo, Sun, Tao, Cheng, Zhi, Qiu, Mo‐Chang, Dong, Lei, Zheng, Lu, Zhang, Long‐Cheng, Wang, Jia‐Hong, Wei, Gan‐Guan, Yao, Kaitai, Wang, Qian, and Zheng, Hou‐Feng

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Dental/Oral and Craniofacial Disease, Biotechnology, Human Genome, Prevention, Genetics, 2.1 Biological and endogenous factors, Aetiology, Alleles, Case-Control Studies, Cell Line, Tumor, DNA-Binding Proteins, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Genotype, High-Throughput Nucleotide Sequencing, Humans, Immunomodulation, Killer Cells, Natural, Leukocytes, Mononuclear, Male, Mutation, Nasopharyngeal Carcinoma, Neoplasm Staging, Polymorphism, Single Nucleotide, Tripartite Motif Proteins, Ubiquitin-Protein Ligases, TRIM26, immune response, nasopharyngeal carcinoma, single-nucleotide polymorphisms, targeted MHC sequencing, Biochemistry and Cell Biology, Oncology and carcinogenesis
Abstract

The major histocompatibility complex (MHC) is most closely associated with nasopharyngeal carcinoma (NPC), but the complexity of its genome structure has proven challenging for the discovery of causal MHC loci or genes. We conducted a targeted MHC sequencing in 40 Cantonese NPC patients followed by a two-stage replication in 1065 NPC cases and 2137 controls of Southern Chinese descendent. Quantitative RT-PCR analysis (qRT-PCR) was used to detect gene expression status in 108 NPC and 43 noncancerous nasopharyngeal (NP) samples. Luciferase reporter assay and chromatin immunoprecipitation (ChIP) were used to assess the transcription factor binding site. We discovered that a novel SNP rs117565607_A at TRIM26 displayed the strongest association (OR = 1.909, Pcombined = 2.750 × 10-19 ). We also observed that TRIM26 was significantly downregulated in NPC tissue samples with genotype AA/AT than TT. Immunohistochemistry (IHC) test also found the TRIM26 protein expression in NPC tissue samples with the genotype AA/AT was lower than TT. According to computational prediction, rs117565607 locus was a binding site for the transcription factor Yin Yang 1 (YY1). We observed that the luciferase activity of YY1 which is binding to the A allele of rs117565607 was suppressed. ChIP data showed that YY1 was binding with T not A allele. Significance analysis of microarray suggested that TRIM26 downregulation was related to low immune response in NPC. We have identified a novel gene TRIM26 and a novel SNP rs117565607_A associated with NPC risk by regulating transcriptional process and established a new functional link between TRIM26 downregulation and low immune response in NPC.

Published
2018

4. Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects

Author

Medina-Gomez, Carolina, Kemp, John P, Trajanoska, Katerina, Luan, Jian’an, Chesi, Alessandra, Ahluwalia, Tarunveer S, Mook-Kanamori, Dennis O, Ham, Annelies, Hartwig, Fernando P, Evans, Daniel S, Joro, Raimo, Nedeljkovic, Ivana, Zheng, Hou-Feng, Zhu, Kun, Atalay, Mustafa, Liu, Ching-Ti, Nethander, Maria, Broer, Linda, Porleifsson, Gudmar, Mullin, Benjamin H, Handelman, Samuel K, Nalls, Mike A, Jessen, Leon E, Heppe, Denise HM, Richards, J Brent, Wang, Carol, Chawes, Bo, Schraut, Katharina E, Amin, Najaf, Wareham, Nick, Karasik, David, Van der Velde, Nathalie, Ikram, M Arfan, Zemel, Babette S, Zhou, Yanhua, Carlsson, Christian J, Liu, Yongmei, McGuigan, Fiona E, Boer, Cindy G, Bønnelykke, Klaus, Ralston, Stuart H, Robbins, John A, Walsh, John P, Zillikens, M Carola, Langenberg, Claudia, Li-Gao, Ruifang, Williams, Frances MK, Harris, Tamara B, Akesson, Kristina, Jackson, Rebecca D, Sigurdsson, Gunnar, Heijer, Martin den, van der Eerden, Bram CJ, van de Peppel, Jeroen, Spector, Timothy D, Pennell, Craig, Horta, Bernardo L, Felix, Janine F, Zhao, Jing Hua, Wilson, Scott G, de Mutsert, Renée, Bisgaard, Hans, Styrkársdóttir, Unnur, Jaddoe, Vincent W, Orwoll, Eric, Lakka, Timo A, Scott, Robert, Grant, Struan FA, Lorentzon, Mattias, van Duijn, Cornelia M, Wilson, James F, Stefansson, Kari, Psaty, Bruce M, Kiel, Douglas P, Ohlsson, Claes, Ntzani, Evangelia, van Wijnen, Andre J, Forgetta, Vincenzo, Ghanbari, Mohsen, Logan, John G, Williams, Graham R, Bassett, JH Duncan, Croucher, Peter I, Evangelou, Evangelos, Uitterlinden, Andre G, Ackert-Bicknell, Cheryl L, Tobias, Jonathan H, Evans, David M, and Rivadeneira, Fernando

Subjects
Rare Diseases, Aging, Human Genome, Osteoporosis, Clinical Research, Genetics, Aetiology, 2.1 Biological and endogenous factors, Musculoskeletal, Good Health and Well Being, Adolescent, Age Factors, Animals, Bone Density, Child, Child, Preschool, Genetic Loci, Genome-Wide Association Study, Humans, Infant, Infant, Newborn, Mice, Knockout, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, Regression Analysis, BMD, CREB3L1, ESR1, GWASs, RANKL, age-dependent effects, bone mineral density, fracture, genetic correlation, genome-wide association studies, meta-regression, total-body DXA, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Bone mineral density (BMD) assessed by DXA is used to evaluate bone health. In children, total body (TB) measurements are commonly used; in older individuals, BMD at the lumbar spine (LS) and femoral neck (FN) is used to diagnose osteoporosis. To date, genetic variants in more than 60 loci have been identified as associated with BMD. To investigate the genetic determinants of TB-BMD variation along the life course and test for age-specific effects, we performed a meta-analysis of 30 genome-wide association studies (GWASs) of TB-BMD including 66,628 individuals overall and divided across five age strata, each spanning 15 years. We identified variants associated with TB-BMD at 80 loci, of which 36 have not been previously identified; overall, they explain approximately 10% of the TB-BMD variance when combining all age groups and influence the risk of fracture. Pathway and enrichment analysis of the association signals showed clustering within gene sets implicated in the regulation of cell growth and SMAD proteins, overexpressed in the musculoskeletal system, and enriched in enhancer and promoter regions. These findings reveal TB-BMD as a relevant trait for genetic studies of osteoporosis, enabling the identification of variants and pathways influencing different bone compartments. Only variants in ESR1 and close proximity to RANKL showed a clear effect dependency on age. This most likely indicates that the majority of genetic variants identified influence BMD early in life and that their effect can be captured throughout the life course.

Published
2018

7. Genomic analyses of 10,376 individuals in the Westlake BioBank for Chinese (WBBC) pilot project

Author

Cong, Pei-Kuan, Bai, Wei-Yang, Li, Jin-Chen, Yang, Meng-Yuan, Khederzadeh, Saber, Gai, Si-Rui, Li, Nan, Liu, Yu-Heng, Yu, Shi-Hui, Zhao, Wei-Wei, Liu, Jun-Quan, Sun, Yi, Zhu, Xiao-Wei, Zhao, Pian-Pian, Xia, Jiang-Wei, Guan, Peng-Lin, Qian, Yu, Tao, Jian-Guo, Xu, Lin, Tian, Geng, Wang, Ping-Yu, Xie, Shu-Yang, Qiu, Mo-Chang, Liu, Ke-Qi, Tang, Bei-Sha, and Zheng, Hou-Feng

Published
2022
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10. Deciphering the complex relationship between type 2 diabetes and fracture risk with both genetic and observational evidence

Author

Zhao, Pianpian, primary, Sheng, Zhifeng, primary, Xu, Lin, primary, Li, Peng, additional, Xiao, Wenjin, additional, Yuan, Chengda, additional, Xu, Zhanwei, additional, Yang, Mengyuan, additional, Qian, Yu, additional, Zhong, Jiadong, additional, Gu, Jiaxuan, additional, Karasik, David, additional, and Zheng, Hou-Feng, additional

Published
2024
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11. Author response: Deciphering the complex relationship between type 2 diabetes and fracture risk with both genetic and observational evidence

Author

Zhao, Pianpian, primary, Sheng, Zhi-Feng, additional, Xu, Lin, additional, Li, Peng, additional, Xiao, Wen-Jin, additional, Yuan, Cheng-Da, additional, Xu, Zhanwei, additional, Yang, Meng-Yuan, additional, Qian, Yu, additional, Zhong, Jia-Dong, additional, Zhong, Jiaxuan, additional, Karasik, David, additional, and Zheng, Hou-Feng, additional

Published
2024
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13. Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture

Author

Zheng, Hou‐Feng, Forgetta, Vincenzo, Hsu, Yi‐Hsiang, Estrada, Karol, Rosello‐Diez, Alberto, Leo, Paul J, Dahia, Chitra L, Park‐Min, Kyung Hyun, Tobias, Jonathan H, Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching‐Ti, Uggla, Charlotta, Evans, Daniel S, Nielson, Carrie M, Walter, Klaudia, Pettersson‐Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen‐Chi, Mokry, Lauren E, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia‐Ho, Cheung, Warren, Medina‐Gómez, Carolina, Ge, Bing, Chen, Shu‐Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A, Gregson, Celia L, Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J, Marshall, Mhairi, Gardiner, Brooke B, Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y, Thorleifsson, Gudmar, Enneman, Anke W, van Schoor, Natasja M, de Groot, Lisette CPGM, van der Velde, Nathalie, Melin, Beatrice, Kemp, John P, Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G, Williams, Stephen R, Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z, Haessler, Jeff, Chasman, Daniel I, Giulianini, Franco, Rose, Lynda M, Ridker, Paul M, Eisman, John A, Nguyen, Tuan V, Center, Jacqueline R, Nogues, Xavier, Garcia‐Giralt, Natalia, Launer, Lenore L, Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, van Duijn, Cornelia M, Karlsson, Magnus K, Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, Bussière, Johanne, and Arp, Pascal P

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Genetics, Human Genome, Biotechnology, Osteoporosis, Stem Cell Research, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Aetiology, Underpinning research, Musculoskeletal, Injuries and accidents, Animals, Bone Density, Bone and Bones, Disease Models, Animal, Europe, Exome, Female, Fractures, Bone, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Genomics, Genotype, Homeodomain Proteins, Humans, Mice, Sequence Analysis, DNA, White People, Wnt Proteins, AOGC Consortium, UK10K Consortium, General Science & Technology
Abstract

The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

Published
2015

15. Author Response: Type 2 diabetes and fracture risk: deciphering the complex relationship with both genetic and observational evidence

Author

Zhao, Pianpian, primary, Sheng, Zhifeng, additional, Xu, Lin, additional, Li, Peng, additional, Xiao, Wenjin, additional, Yuan, Chengda, additional, Xu, Zhanwei, additional, Yang, Mengyuan, additional, Qian, Yu, additional, Zhong, Jiadong, additional, Gu, Jiaxuan, additional, Karasik, David, additional, and Zheng, Hou-Feng, additional

Published
2024
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16. Type 2 diabetes and fracture risk: deciphering the complex relationship with both genetic and observational evidence

Author

Zhao, Pianpian, primary, Sheng, Zhifeng, additional, Xu, Lin, additional, Li, Peng, additional, Xiao, Wenjin, additional, Yuan, Chengda, additional, Xu, Zhanwei, additional, Yang, Mengyuan, additional, Qian, Yu, additional, Zhong, Jiadong, additional, Gu, Jiaxuan, additional, Karasik, David, additional, and Zheng, Hou-Feng, additional

Published
2024
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17. GWAS of ∼30,000 samples with bone mineral density at multiple skeletal sites and its clinical relevance on fracture prediction, genetic correlations and prioritization of drug targets

Author

Qian, Yu, primary, Xia, Jiangwei, additional, Wang, Pingyu, additional, Xie, Chao, additional, Lin, Hong-Li, additional, Li, Gloria Hoi-Yee, additional, Yuan, Cheng-Da, additional, Qiu, Mo-Chang, additional, Fang, Yi-Hu, additional, Yu, Chun-Fu, additional, Cai, Xiang-Chun, additional, Khederzadeh, Saber, additional, Zhao, Pian-Pian, additional, Yang, Meng-Yuan, additional, Zhong, Jia-Dong, additional, Li, Xin, additional, Guan, Peng-Lin, additional, Gu, Jia-Xuan, additional, Gai, Si-Rui, additional, Yi, Xiang-Jiao, additional, Tao, Jian-Guo, additional, Chen, Xiang, additional, Miao, Mao-Mao, additional, Jin, Wen, additional, Xu, Lin, additional, Xie, Shu-Yang, additional, Tian, Geng, additional, Yue, Hua, additional, Li, Guangfei, additional, Xiao, Wenjin, additional, Karasik, David, additional, Xu, Youjia, additional, Yang, Liu, additional, Huang, Fei, additional, Cheung, Ching-Lung, additional, Zhang, Zhenlin, additional, and Zheng, Hou-Feng, additional

Published
2024
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20. Genetic determinants of heel bone properties: genome-wide association meta-analysis and replication in the GEFOS/GENOMOS consortium.

Author

Moayyeri, Alireza, Hsu, Yi-Hsiang, Karasik, David, Estrada, Karol, Xiao, Su-Mei, Nielson, Carrie, Srikanth, Priya, Giroux, Sylvie, Wilson, Scott G, Zheng, Hou-Feng, Smith, Albert V, Pye, Stephen R, Leo, Paul J, Teumer, Alexander, Hwang, Joo-Yeon, Ohlsson, Claes, McGuigan, Fiona, Minster, Ryan L, Hayward, Caroline, Olmos, José M, Lyytikäinen, Leo-Pekka, Lewis, Joshua R, Swart, Karin MA, Masi, Laura, Oldmeadow, Chris, Holliday, Elizabeth G, Cheng, Sulin, van Schoor, Natasja M, Harvey, Nicholas C, Kruk, Marcin, del Greco M, Fabiola, Igl, Wilmar, Trummer, Olivia, Grigoriou, Efi, Luben, Robert, Liu, Ching-Ti, Zhou, Yanhua, Oei, Ling, Medina-Gomez, Carolina, Zmuda, Joseph, Tranah, Greg, Brown, Suzanne J, Williams, Frances M, Soranzo, Nicole, Jakobsdottir, Johanna, Siggeirsdottir, Kristin, Holliday, Kate L, Hannemann, Anke, Go, Min Jin, Garcia, Melissa, Polasek, Ozren, Laaksonen, Marika, Zhu, Kun, Enneman, Anke W, McEvoy, Mark, Peel, Roseanne, Sham, Pak Chung, Jaworski, Maciej, Johansson, Åsa, Hicks, Andrew A, Pludowski, Pawel, Scott, Rodney, Dhonukshe-Rutten, Rosalie AM, van der Velde, Nathalie, Kähönen, Mika, Viikari, Jorma S, Sievänen, Harri, Raitakari, Olli T, González-Macías, Jesús, Hernández, Jose L, Mellström, Dan, Ljunggren, Osten, Cho, Yoon Shin, Völker, Uwe, Nauck, Matthias, Homuth, Georg, Völzke, Henry, Haring, Robin, Brown, Matthew A, McCloskey, Eugene, Nicholson, Geoffrey C, Eastell, Richard, Eisman, John A, Jones, Graeme, Reid, Ian R, Dennison, Elaine M, Wark, John, Boonen, Steven, Vanderschueren, Dirk, Wu, Frederick CW, Aspelund, Thor, Richards, J Brent, Bauer, Doug, Hofman, Albert, Khaw, Kay-Tee, Dedoussis, George, Obermayer-Pietsch, Barbara, Gyllensten, Ulf, Pramstaller, Peter P, and Lorenc, Roman S

Subjects
Calcaneus, Humans, Osteoporosis, Genetic Predisposition to Disease, Ultrasonography, Cohort Studies, Bone Density, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Fractures, Bone, Genome-Wide Association Study, Young Adult, Human Genome, Genetics, Aging, 2.1 Biological and endogenous factors, Aetiology, Musculoskeletal, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Quantitative ultrasound of the heel captures heel bone properties that independently predict fracture risk and, with bone mineral density (BMD) assessed by X-ray (DXA), may be convenient alternatives for evaluating osteoporosis and fracture risk. We performed a meta-analysis of genome-wide association (GWA) studies to assess the genetic determinants of heel broadband ultrasound attenuation (BUA; n = 14 260), velocity of sound (VOS; n = 15 514) and BMD (n = 4566) in 13 discovery cohorts. Independent replication involved seven cohorts with GWA data (in silico n = 11 452) and new genotyping in 15 cohorts (de novo n = 24 902). In combined random effects, meta-analysis of the discovery and replication cohorts, nine single nucleotide polymorphisms (SNPs) had genome-wide significant (P < 5 × 10(-8)) associations with heel bone properties. Alongside SNPs within or near previously identified osteoporosis susceptibility genes including ESR1 (6q25.1: rs4869739, rs3020331, rs2982552), SPTBN1 (2p16.2: rs11898505), RSPO3 (6q22.33: rs7741021), WNT16 (7q31.31: rs2908007), DKK1 (10q21.1: rs7902708) and GPATCH1 (19q13.11: rs10416265), we identified a new locus on chromosome 11q14.2 (rs597319 close to TMEM135, a gene recently linked to osteoblastogenesis and longevity) significantly associated with both BUA and VOS (P < 8.23 × 10(-14)). In meta-analyses involving 25 cohorts with up to 14 985 fracture cases, six of 10 SNPs associated with heel bone properties at P < 5 × 10(-6) also had the expected direction of association with any fracture (P < 0.05), including three SNPs with P < 0.005: 6q22.33 (rs7741021), 7q31.31 (rs2908007) and 10q21.1 (rs7902708). In conclusion, this GWA study reveals the effect of several genes common to central DXA-derived BMD and heel ultrasound/DXA measures and points to a new genetic locus with potential implications for better understanding of osteoporosis pathophysiology.

Published
2014

21. SEAD: an augmented reference panel with 22,134 haplotypes boosts the rare variants imputation and GWAS analysis in Asian population

Author

Yang, Meng-Yuan, primary, Zhong, Jia-Dong, additional, Li, Xin, additional, Bai, Wei-Yang, additional, Yuan, Cheng-Da, additional, Qiu, Mo-Chang, additional, Liu, Ke-Qi, additional, Yu, Chun-Fu, additional, Li, Nan, additional, Yang, Ji-Jian, additional, Liu, Yu-Heng, additional, Yu, Shi-Hui, additional, Zhao, Wei-Wei, additional, Liu, Jun-Quan, additional, Sun, Yi, additional, Cong, Pei-Kuan, additional, Khederzadeh, Saber, additional, Zhao, Pian-Pian, additional, Qian, Yu, additional, Guan, Peng-Lin, additional, Gu, Jia-Xuan, additional, Gai, Si-Rui, additional, Yi, Xiang-Jiao, additional, Tao, Jian-Guo, additional, Chen, Xiang, additional, Miao, Mao-Mao, additional, Lei, Lan-Xin, additional, Xu, Lin, additional, Xie, Shu-Yang, additional, Tian, Geng, additional, Li, Jin-Chen, additional, Guo, Ji-Feng, additional, Karasik, David, additional, Yang, Liu, additional, Tang, Bei-Sha, additional, Huang, Fei, additional, and Zheng, Hou-Feng, additional

Published
2023
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22. Ambient PM2.5 Exposure and Bone Homeostasis: Analysis of UK Biobank Data and Experimental Studies in Mice and in Vitro

Author

Ge, Qinwen, primary, Yang, Sijia, additional, Qian, Yu, additional, Chen, Jiali, additional, Yuan, Wenhua, additional, Li, Sanduo, additional, Wang, Pinger, additional, Li, Ran, additional, Zhang, Lu, additional, Chen, Guobo, additional, Kan, Haidong, additional, Rajagopalan, Sanjay, additional, Sun, Qinghua, additional, Zheng, Hou-Feng, additional, Jin, Hongting, additional, and Liu, Cuiqing, additional

Published
2023
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25. Type 2 diabetes and fracture risk: deciphering the complex relationship with both genetic and observational evidence

Author

Zhao, Pianpian, primary, Sheng, Zhifeng, additional, Xu, Lin, additional, Li, Peng, additional, Xiao, Wenjin, additional, Yuan, Chengda, additional, Xu, Zhanwei, additional, Yang, Mengyuan, additional, Qian, Yu, additional, Zhong, Jiadong, additional, Gu, Jiaxuan, additional, Karasik, David, additional, and Zheng, Hou-Feng, additional

Published
2023
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28. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation

Author

Teumer, Alexander, Chaker, Layal, Groeneweg, Stefan, Li, Yong, Di Munno, Celia, Barbieri, Caterina, Schultheiss, Ulla T., Traglia, Michela, Ahluwalia, Tarunveer S., Akiyama, Masato, Appel, Emil Vincent R., Arking, Dan E., Arnold, Alice, Astrup, Arne, Beekman, Marian, Beilby, John P., Bekaert, Sofie, Boerwinkle, Eric, Brown, Suzanne J., De Buyzere, Marc, Campbell, Purdey J., Ceresini, Graziano, Cerqueira, Charlotte, Cucca, Francesco, Deary, Ian J., Deelen, Joris, Eckardt, Kai-Uwe, Ekici, Arif B., Eriksson, Johan G., Ferrrucci, Luigi, Fiers, Tom, Fiorillo, Edoardo, Ford, Ian, Fox, Caroline S., Fuchsberger, Christian, Galesloot, Tessel E., Gieger, Christian, Gögele, Martin, De Grandi, Alessandro, Grarup, Niels, Greiser, Karin Halina, Haljas, Kadri, Hansen, Torben, Harris, Sarah E., van Heemst, Diana, den Heijer, Martin, Hicks, Andrew A., den Hollander, Wouter, Homuth, Georg, Hui, Jennie, Ikram, M. Arfan, Ittermann, Till, Jensen, Richard A., Jing, Jiaojiao, Jukema, J. Wouter, Kajantie, Eero, Kamatani, Yoichiro, Kasbohm, Elisa, Kaufman, Jean-Marc, Kiemeney, Lambertus A., Kloppenburg, Margreet, Kronenberg, Florian, Kubo, Michiaki, Lahti, Jari, Lapauw, Bruno, Li, Shuo, Liewald, David C. M., Lifelines Cohort Study, Lim, Ee Mun, Linneberg, Allan, Marina, Michela, Mascalzoni, Deborah, Matsuda, Koichi, Medenwald, Daniel, Meisinger, Christa, Meulenbelt, Ingrid, De Meyer, Tim, Meyer zu Schwabedissen, Henriette E., Mikolajczyk, Rafael, Moed, Matthijs, Netea-Maier, Romana T., Nolte, Ilja M., Okada, Yukinori, Pala, Mauro, Pattaro, Cristian, Pedersen, Oluf, Petersmann, Astrid, Porcu, Eleonora, Postmus, Iris, Pramstaller, Peter P., Psaty, Bruce M., Ramos, Yolande F. M., Rawal, Rajesh, Redmond, Paul, Richards, J. Brent, Rietzschel, Ernst R., Rivadeneira, Fernando, Roef, Greet, Rotter, Jerome I., Sala, Cinzia F., Schlessinger, David, Selvin, Elizabeth, Slagboom, P. Eline, Soranzo, Nicole, Sørensen, Thorkild I. A., Spector, Timothy D., Starr, John M., Stott, David J., Taes, Youri, Taliun, Daniel, Tanaka, Toshiko, Thuesen, Betina, Tiller, Daniel, Toniolo, Daniela, Uitterlinden, Andre G., Visser, W. Edward, Walsh, John P., Wilson, Scott G., Wolffenbuttel, Bruce H. R., Yang, Qiong, Zheng, Hou-Feng, Cappola, Anne, Peeters, Robin P., Naitza, Silvia, Völzke, Henry, Sanna, Serena, Köttgen, Anna, Visser, Theo J., and Medici, Marco

Published
2018
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30. Searching across-cohort relatives in 54,092 GWAS samples via encrypted genotype regression

Author

Zhang, Qi-Xin, primary, Liu, Tianzi, additional, Guo, Xinxin, additional, Zhen, Jianxin, additional, Yang, Meng-yuan, additional, Khederzadeh, Saber, additional, Zhou, Fang, additional, Han, Xiaotong, additional, Zheng, Qiwen, additional, Jia, Peilin, additional, Ding, Xiaohu, additional, He, Mingguang, additional, Zou, Xin, additional, Liao, Jia-Kai, additional, Zhang, Hongxin, additional, He, Ji, additional, Zhu, Xiaofeng, additional, Lu, Daru, additional, Chen, Hongyan, additional, Zeng, Changqing, additional, Liu, Fan, additional, Zheng, Hou-Feng, additional, Liu, Siyang, additional, Xu, Hai-Ming, additional, and Chen, Guo-Bo, additional

Published
2022
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36. Identification of clinically actionable secondary genetic variants from whole‐genome sequencing in a large‐scale Chinese population

Author

Cong, Pei‐Kuan, primary, Khederzadeh, Saber, additional, Yuan, Cheng‐Da, additional, Ma, Rui‐Jie, additional, Zhang, Yi‐Yao, additional, Liu, Jun‐Quan, additional, Yu, Shi‐Hui, additional, Xu, Lin, additional, Gao, Jian‐Hua, additional, Pan, Hong‐Xu, additional, Li, Jin‐Chen, additional, Xie, Shu‐Yang, additional, Liu, Ke‐Qi, additional, Tang, Bei‐Sha, additional, and Zheng, Hou‐Feng, additional

Published
2022
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37. Additional file 1 of Both indirect maternal and direct fetal genetic effects reflect the observational relationship between higher birth weight and lower adult bone mass

Author

Xia, Jiang-Wei, Zhang, Lin, Li, Jin, Yuan, Cheng-Da, Zhu, Xiao-Wei, Qian, Yu, Khederzadeh, Saber, Gu, Jia-Xuan, Xu, Lin, Gao, Jian-Hua, Liu, Ke-Qi, Karasik, David, Xie, Shu-Yang, Chen, Guo-Bo, and Zheng, Hou-Feng

Abstract

Additional file 1: Fig. S1. Restricted cubic spline analysis to show the relationship between birth weight and Lumbar spine bone parameters. Fig. S2. Restricted cubic spline analysis to show the relationship between birth weight and Lateral spine bone parameters. Fig. S3. Restricted cubic spline analysis to show the relationship between birth weight and heel BMD. Table S1. Characteristics of the single nucleotide polymorphisms associated with the birth weight. Table S2. Detailed information on the GWAS summary-statistic data for birth weight and bone parameters. Table S3. Characteristics of participants from the UK Biobank dataset in the observational analysis for the Spine DXA data. Table S4. Characteristics of participants from the UK Biobank dataset in the model 3 observational analysis for heel BMD measured by QUS. Table S5. Summary statistics for the 63 SNPs used in instrumental variable analysis to assess the effect of fetal birth weight on the hip bone parameters. Table S6. Summary statistics for the 104 SNPs used in instrumental variable analysis to assess the effect of fetal birth weight on the hip bone parameters. Table S7. Summary statistics for the 205 SNPs used in instrumental variable analysis to assess the effect of fetal birth weight on the hip bone parameters. Table S8. P values for the associations of 205 birth weight variants with potential risk factors. Table S9. The association between fetal SNPs determined birth weight and potential risk factors in UK biobank dataset. Table S10. The association between fetal SNPs determined birth weight and adult BMC, Bone area, BMCadjArea and BMD in UK biobank dataset (confounders including calcium level). Table S11. Causal associations of the fetal genotype effects on birth weight (63, 104, 205 instrument variables) with hip bone parameters in two-sample MR analyses. Table S12. Causal associations of the fetal genotype effects on birth weight (62, 102, 200 instrumental variables which excluded the potential pleiotropic variants) with hip bone parameters in two-sample MR analyses.

Published
2022
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38. Proxied Therapeutic Inhibition on Wnt Signaling Antagonists and Risk of Cardiovascular Diseases: Multi-Omics Analyses

Author

Qian, Yu, primary, Yuan, Cheng-Da, additional, Khederzadeh, Saber, additional, Han, Ming-Yu, additional, Liu, Hai-Xia, additional, Qiu, Mo-Chang, additional, Gao, Jian-Hua, additional, Wang, Wei-Lin, additional, Hou, Yun-Piao, additional, Chen, Guo-Bo, additional, Liu, Ke-Qi, additional, Xu, Lin, additional, Karasik, David, additional, Xie, Shu-Yang, additional, and Zheng, Hou-Feng, additional

Published
2022
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39. Multi-Omics Analyses Identify Pleiotropy and Causality Between Circulating Sclerostin and Atrial Fibrillation

Author

Qian, Yu, primary, Guan, Peng-Lin, additional, Khederzadeh, Saber, additional, Liu, Ke-Qi, additional, Yuan, Cheng-Da, additional, Han, Ming-Yu, additional, Liu, Hai-Xia, additional, Qiu, Mo-Chang, additional, Gao, Jian-Hua, additional, Wang, Wei-Lin, additional, Hou, Yun-Piao, additional, Chen, Guo-Bo, additional, Xu, Lin, additional, Karasik, David, additional, Xie, Shu-Yang, additional, zhifeng, sheng, additional, and Zheng, Hou-Feng, additional

Published
2022
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41. TRIB2 Promotes Cell Aerobic Glycolysis and Proliferation of Lung Cancer by Regulating PKM2

Author

Liu, Yuan-Rong, primary, Song, Dan-Dan, additional, Liang, Dong-Min, additional, Li, You-Jie, additional, Yan, Yun-Fei, additional, Sun, Hong-Fang, additional, Zhang, Mei-Ling, additional, Hu, Jin-Xia, additional, Zhao, Yu-Long, additional, Liang, Yan, additional, Li, Yan-Mei, additional, Yang, Zhen, additional, Zhang, Shu-Cui, additional, Zhang, QunYe, additional, Wang, Ran-Ran, additional, Zheng, Hou-Feng, additional, Wang, Ping-Yu, additional, and Xie, Shu-Yang, additional

Published
2022
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42. The UK10K project identifies rare variants in health and disease

Author

Walter, Klaudia, Min, Josine L., Huang, Jie, Crooks, Lucy, Memari, Yasin, Perry, John R. B., Xu, ChangJiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E., Danecek, Petr, Li, Rui, Floyd, James, Wain, Louise V., Humphries, Steve E., Barrett, Jeffrey C., Bala, Senduran, Clapham, Peter, Coates, Guy, Cox, Tony, Daly, Allan, Du, Yuanping, Edkins, Sarah, Ellis, Peter, Flicek, Paul, Guo, Xiaosen, Guo, Xueqin, Huang, Liren, Jackson, David K., Joyce, Chris, Keane, Thomas, Kolb-Kokocinski, Anja, Langford, Cordelia, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Maslen, John, McCarthy, Shane, (co-chair), Muddyman, Dawn, Quail, Michael A., Stalker, Jim, (co-chair), Sun, Jianping, Tian, Jing, Wang, Guangbiao, Wang, Jun, Wang, Yu, Wong, Kim, Zhang, Pingbo, Birney, Ewan, Boustred, Chris, Chen, Lu, Clement, Gail, Cocca, Massimiliano, Smith, George Davey, Day, Ian N. M., Day-Williams, Aaron, Down, Thomas, Dunham, Ian, Evans, David M., Gaunt, Tom R., Geihs, Matthias, Hart, Deborah, Howie, Bryan, Hubbard, Tim, Hysi, Pirro, Jamshidi, Yalda, Karczewski, Konrad J., Kemp, John P., Lachance, Genevieve, Lek, Monkol, Lopes, Margarida, MacArthur, Daniel G., Marchini, Jonathan, Mangino, Massimo, Mathieson, Iain, Metrustry, Sarah, Moayyeri, Alireza, Northstone, Kate, Panoutsopoulou, Kalliope, Paternoster, Lavinia, Quaye, Lydia, Richards, Brent J., (co-chair), Ring, Susan, Ritchie, Graham R. S., Shihab, Hashem A., Shin, So-Youn, Small, Kerrin S., Artigas, María Soler, Soranzo, Nicole, (co-chair), Southam, Lorraine, Spector, Timothy D., St Pourcain, Beate, Surdulescu, Gabriela, Tachmazidou, Ioanna, Timpson, Nicholas J., (co-chair), Tobin, Martin D., Valdes, Ana M., Visscher, Peter M., Ward, Kirsten, Wilson, Scott G., Yang, Jian, Zhang, Feng, Zheng, Hou-Feng, Anney, Richard, Ayub, Muhammad, Blackwood, Douglas, Bolton, Patrick F., Breen, Gerome, Collier, David A., Craddock, Nick, Curran, Sarah, Curtis, David, Gallagher, Louise, Geschwind, Daniel, Gurling, Hugh, Holmans, Peter, Lee, Irene, Lönnqvist, Jouko, McGuffin, Peter, McIntosh, Andrew M., McKechanie, Andrew G., McQuillin, Andrew, Morris, James, OʼDonovan, Michael C., Owen, Michael J., (co-chair), Palotie, Aarno, (co-chair), Parr, Jeremy R., Paunio, Tiina, Pietilainen, Olli, Rehnström, Karola, Sharp, Sally I., Skuse, David, St Clair, David, Suvisaari, Jaana, Walters, James T. R., Williams, Hywel J., Barroso, Inês, (co-chair), Bochukova, Elena, Bounds, Rebecca, Dominiczak, Anna, Farooqi, Sadaf I., (co-chair), Keogh, Julia, Marenne, Gaëlle, Morris, Andrew, OʼRahilly, Stephen, Porteous, David J., Smith, Blair H., Wheeler, Eleanor, Al Turki, Saeed, Anderson, Carl A., Antony, Dinu, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Fitzpatrick, David R., (co-chair), Foley, Reghan A., Franklin, Christopher S., Grozeva, Detelina, Hurles, Matthew E., (co-chair), Mitchison, Hannah M., Muntoni, Francesco, Onoufriadis, Alexandros, Parker, Victoria, Payne, Felicity, Raymond, Lucy F., Roberts, Nicola, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Spasic-Boskovic, Olivera, Stevens, Elizabeth, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Williamson, Kathleen A., Wilson, Crispian, Whyte, Tamieka, Ciampi, Antonio, Greenwood, Celia M. T., (co-chair), Oualkacha, Karim, Zeggini, Eleftheria, (co-chair), Bobrow, Martin, Griffin, Heather, Kaye, Jane, (co-chair), Kennedy, Karen, Kent, Alastair, Smee, Carol, Charlton, Ruth, Ekong, Rosemary, Khawaja, Farrah, Lopes, Luis R., Migone, Nicola, Payne, Stewart J., Plagnol, Vincent, (chair), Pollitt, Rebecca C., Povey, Sue, Ridout, Cheryl K., Robinson, Rachel L., Scott, Richard H., Shaw, Adam, Syrris, Petros, Taylor, Rohan, Vandersteen, Anthony M., Durbin, Richard, (chair), Amuzu, Antoinette, Casas, Juan Pablo, Chambers, John C., Dedoussis, George, Gambaro, Giovanni, Gasparini, Paolo, Isaacs, Aaron, Johnson, Jon, Kleber, Marcus E., Kooner, Jaspal S., Langenberg, Claudia, Luan, Jianʼan, Malerba, Giovanni, März, Winfried, Matchan, Angela, Morris, Richard, Nordestgaard, Børge G., Benn, Marianne, Scott, Robert A., Toniolo, Daniela, Traglia, Michela, Tybjaerg-Hansen, Anne, van Duijn, Cornelia M., van Leeuwen, Elisabeth M., Varbo, Anette, Whincup, Peter, Zaza, Gianluigi, and Zhang, Weihua

Published
2015
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46. Genome-wide association study of esophageal squamous cell carcinoma in Chinese subjects identifies a susceptibility locus at PLCE1

Author

Wang, Li-Dong, Zhou, Fu-You, Li, Xue-Min, Sun, Liang-Dan, Song, Xin, Jin, Yan, Li, Jiang-Man, Kong, Guo-Qiang, Qi, Hong, Cui, Juan, Zhang, Lian-Qun, Yang, Jie-Zhi, Li, Ji-Lin, Li, Xing-Chuan, Ren, Jing-Li, Liu, Zhi-Cai, Gao, Wen-Jun, Yuan, Ling, Wei, Wu, Zhang, Yan-Rui, Wang, Wei-Peng, Sheyhidin, Ilyar, Li, Feng, Chen, Bao-Ping, Ren, Shu-Wei, Liu, Bin, Li, Dan, Ku, Jian-Wei, Fan, Zong-Min, Zhou, Sheng-Li, Guo, Zhi-Gang, Zhao, Xue-Ke, Liu, Na, Ai, Yong-Hong, Shen, Fang-Fang, Cui, Wen-Yan, Song, Shuang, Guo, Tao, Huang, Jing, Yuan, Chao, Huang, Jia, Wu, Yue, Yue, Wen-Bin, Feng, Chang-Wei, Li, Hong-Lei, Wang, Yan, Tian, Jin-Ya, Lu, Yue, Yuan, Yi, Zhu, Wen-Liang, Liu, Min, Fu, Wen-Jing, Yang, Xia, Wang, Han-Jing, Han, Suo-Li, Chen, Jie, Han, Min, Wang, Hai-Yan, Zhang, Peng, Li, Xiu-Min, Dong, Jin-Cheng, Xing, Guo-Lan, Wang, Ran, Guo, Ming, Chang, Zhi-Wei, Liu, Hai-Lin, Guo, Li, Yuan, Zhi-Qing, Liu, Hai, Lu, Qin, Yang, Liu-Qin, Zhu, Fu-Guo, Yang, Xiu-Feng, Feng, Xiao-Shan, Wang, Zhou, Li, Yin, Gao, She-Gan, Qige, Qirenwang, Bai, Long-Tang, Yang, Wen-Jun, Lei, Guang-Yan, Shen, Zhong-Ying, Chen, Long-Qi, Li, En-Min, Xu, Li-Yan, Wu, Zhi-Yong, Cao, Wei-Ke, Wang, Jian-Po, Bao, Zhi-Qin, Chen, Ji-Li, Ding, Guang-Cheng, Zhuang, Xiang, Zhou, Ying-Fa, Zheng, Hou-Feng, Zhang, Zheng, Zuo, Xian-Bo, Dong, Zi-Ming, Fan, Dong-Mei, He, Xin, Wang, Jin, Zhou, Qi, Zhang, Qin-Xian, Jiao, Xin-Ying, Lian, Shi-Yong, Ji, Ai-Fang, Lu, Xiao-Mei, Wang, Jin-Sheng, Chang, Fu-Bao, Lu, Chang-Dong, Chen, Zhi-Guo, Miao, Jian-Jun, Fan, Zeng-Lin, Lin, Ruo-Bai, Liu, Tai-Jiang, Wei, Jin-Chang, Kong, Qing-Peng, Lan, Yu, Fan, Yu-Jing, Gao, Fu-Sheng, Wang, Tian-Yun, Xie, Dong, Chen, Shu-Qing, Yang, Wan-Cai, Hong, Jun-Yan, Wang, Liang, Qiu, Song-Liang, Cai, Zhi-Ming, and Zhang, Xue-Jun

Published
2010
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47. Genomic analyses of 10,376 individuals in the Westlake BioBank for Chinese (WBBC) pilot project

Author

Cong, Peikuan, primary, Bai, Weiyang, additional, Li, Jinchen, additional, Yang, Mengyuan, additional, Khederzadeh, Saber, additional, Gai, Sirui, additional, Li, Nan, additional, Liu, Yuheng, additional, Yu, Shihui, additional, Zhao, Weiwei, additional, Liu, Junquan, additional, Sun, Yi, additional, Zhu, Xiaowei, additional, Zhao, Pianpian, additional, Xia, Jiangwei, additional, Guan, Penglin, additional, Qian, Yu, additional, Tao, Jianguo, additional, Xu, Lin, additional, Tian, Geng, additional, wang, Pingyu, additional, Xie, Shu-Yang, additional, Qiu, Mochang, additional, Liu, Keqi, additional, Tang, Beisha, additional, and Zheng, Hou-Feng, additional

Published
2021
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49. Cohort profile: the Westlake BioBank for Chinese (WBBC) pilot project

Author

Zhu, Xiao-Wei, primary, Liu, Ke-Qi, additional, Wang, Ping-Yu, additional, Liu, Jun-Quan, additional, Chen, Jin-Yang, additional, Xu, Xue-Jin, additional, Xu, Jin-Jian, additional, Qiu, Mo-Chang, additional, Sun, Yi, additional, Liu, Chun, additional, Bai, Wei-Yang, additional, Zhao, Pian-Pian, additional, Xia, Jiangwei, additional, Gai, Si-Rui, additional, Guan, Peng-Lin, additional, Qian, Yu, additional, Cong, Pei-Kuan, additional, Xie, Shu-Yang, additional, and Zheng, Hou-Feng, additional

Published
2021
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50. Expression of Phosphofructokinase in Skeletal Muscle Is Influenced by Genetic Variation and Associated With Insulin Sensitivity

Author

Keildson, Sarah, Fadista, Joao, Ladenvall, Claes, Hedman, Åsa K., Elgzyri, Targ, Small, Kerrin S., Grundberg, Elin, Nica, Alexandra C., Glass, Daniel, Richards, J. Brent, Barrett, Amy, Nisbet, James, Zheng, Hou-Feng, Rönn, Tina, Ström, Kristoffer, Eriksson, Karl-Fredrik, Prokopenko, Inga, Spector, Timothy D., Dermitzakis, Emmanouil T., Deloukas, Panos, McCarthy, Mark I., Rung, Johan, Groop, Leif, Franks, Paul W., Lindgren, Cecilia M., and Hansson, Ola

Published
2014
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