Results 71 to 80 of about 188,567 (300)

Large-scale transcriptome-wide association study identifies new prostate cancer risk regions

Nature Communications, 2018
Genome-wide association studies (GWAS) have identified hundreds of genomic risk regions for prostate cancer. Here, the authors perform a transcriptome wide association study (TWAS) by incorporating prostate cancer GWAS with gene expression data to ...
Nicholas Mancuso, Simon Gayther, Alexander Gusev, Wei Zheng, Kathryn L. Penney, Zsofia Kote-Jarai, Rosalind Eeles, Matthew Freedman, Christopher Haiman, Bogdan Pasaniuc, The PRACTICAL consortium   +10 more
doaj   +1 more source

Accounting for multiple comparisons in a genome-wide association study (GWAS)

BMC Genomics, 2010
Background As we enter an era when testing millions of SNPs in a single gene association study will become the standard, consideration of multiple comparisons is an essential part of determining statistical significance.
Lautenberger James A, Troyer Jennifer L, Nelson George W, Johnson Randall C, Kessing Bailey D, Winkler Cheryl A, O'Brien Stephen J   +6 more
doaj   +1 more source

Genome wide association study (GWAS) of Chagas cardiomyopathy in Trypanosoma cruzi seropositive subjects. [PDF]

PLoS ONE, 2013
BACKGROUND:Familial aggregation of Chagas cardiac disease in T. cruzi-infected persons suggests that human genetic variation may be an important determinant of disease progression.
Xutao Deng, Ester C Sabino, Edecio Cunha-Neto, Antonio L Ribeiro, Barbara Ianni, Charles Mady, Michael P Busch, Mark Seielstad, REDSII Chagas Study Group from the NHLBI Retrovirus Epidemiology Donor Study-II Component International   +8 more
doaj   +1 more source

Genome-wide association study identifies 30 loci associated with bipolar disorder. [PDF]

, 2019
Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10-4 in an additional
Abbott, Liam, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Belliveau, Richard, Bergen, Sarah E, Boks, Marco P, Boocock, James, Breen, Gerome, Budde, Monika, Bunney, William, Burmeister, Margit, Bybjerg-Grauholm, Jonas, Byerley, William, Byrne, Enda M, Bækvad-Hansen, Marie, Bøen, Erlend, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Clarke, Toni-Kim, Coleman, Jonathan RI, Coryell, William, Craig, David W, Cruceanu, Cristiana, Curtis, David, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, de Leeuw, Christiaan A, Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J Raymond, Djurovic, Srdjan, Dobbyn, Amanda L, Dumont, Ashley, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forstner, Andreas J, Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Gaspar, Héléna A, Giambartolomei, Claudia, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Guzman-Parra, José, Hamshere, Marian L, Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Holmans, Peter A, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, Juréus, Anders, Mattheisen, Manuel, McQuillin, Andrew, Pavlides, Jennifer M Whitehead, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Pers, Tune H, Richards, Alexander L, Ripke, Stephan, Stahl, Eli A, Steinberg, Stacy, Trubetskoy, Vassily, Trzaskowski, Maciej, Wang, Yunpeng   +99 more
core  

Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility

Advanced Science, EarlyView.
This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin, Xiaodian Cai, Zhanming Zhong, Tingting Li, Xinyou Chen, Wondossen Ayalew, Zhiting Xu, Chen Wei, Xiaoke Zhang, Hong Cheng, Zhenyang Zhang, Xuehua Li, Yongjie Tang, Siqian Chen, Jun Zhou, Jinglei Si, Xibo Wu, Chao Ning, Qishan Wang, Yuchun Pan, Yahui Gao, Jiaqi Li, Ying Yu, Zhe Zhang, Yunxiang Zhao, Lingzhao Fang, Zhe Zhang   +26 more
wiley   +1 more source

Reference‐Guided Chromosome‐by‐Chromosome de novo Assembly at Scale Using Low‐Coverage High‐Fidelity Long‐Reads with HiFiCCL

Advanced Science, EarlyView.
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang, Weihua Pan, Runtian Gao, Heng Hu, Wentao Gao, Murong Zhou, Yu‐Hang Yin, Zhipeng Qian, Shuilin Jin, Guohua Wang   +9 more
wiley   +1 more source

A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk

Advanced Science, EarlyView.
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan, Yuanxiu Wei, Yiting Wu, Xinyue Su, Gangling Wang, Sisi Yang, Ziliang Ye, Yanjun Zhang, Hao Xiang, Yu Huang, Yiwei Zhang, Yuanyuan Zhang, Xianhui Qin   +12 more
wiley   +1 more source

Gene expression imputation identifies candidate genes and susceptibility loci associated with cutaneous squamous cell carcinoma

Nature Communications, 2018
Genetic loci linked to susceptibility for the common skin cancer cutaneous squamous cell carcinoma (cSCC) have been identified by genome wide association studies (GWAS).
Nilah M. Ioannidis, Wei Wang, Nicholas A. Furlotte, David A. Hinds, 23andMe Research Team, Carlos D. Bustamante, Eric Jorgenson, Maryam M. Asgari, Alice S. Whittemore   +8 more
doaj   +1 more source

Interrogating the Genetic Determinants of Tourette’s Syndrome and Other Tic Disorders Through Genome-Wide Association Studies [PDF]

, 2019
Objective: Tourette’s syndrome is polygenic and highly heritable. Genome-wide association study (GWAS) approaches are useful for interrogating the genetic architecture and determinants of Tourette’s syndrome and other tic disorders. The authors conducted
Gilles de la Tourette GWAS Replication Initiative, Psychiatric Genomics Consortium Tourette Syndrome Working Group, Tourette Association of America International Consortium for Genetics, Tourette International Collaborative Genetics Study, Woods, Douglas W.   +4 more
core   +1 more source

A Bayesian graphical model for genome-wide association studies (GWAS)

The Annals of Applied Statistics, 2016
The analysis of GWAS data has long been restricted to simple models that cannot fully capture the genetic architecture of complex human diseases. As a shift from standard approaches, we propose here a general statistical framework for multi-SNP analysis of GWAS data based on a Bayesian graphical model.
Briollais, Laurent, Dobra, Adrian, Liu, Jinnan, Friedlander, Matt, Ozcelik, Hilmi, Massam, Hélène   +5 more
openaire   +3 more sources