Results 91 to 100 of about 46,677 (295)

A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease [PDF]

, 2015
Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association studies (GWAS) analysis of common SNPs.
Alver, M, Anand, SS, Ardissino, D, Armasu, SM, Assimes, TL, Auro, K, Bertram, L, Beutner, F, Bjonnes, A, Boerwinkle, E, Borecki, IB, Bottinger, EP, Buring, JE, Chambers, JC, Chasman, DI, Chen, S, Clarke, R, Collins, R, Consortium, C, Cupples, LA, Danesh, J, de Andrade, M, de Vries, PS, Dedoussis, G, Dehghan, A, Deloukas, P, Demuth, I, Elosua, R, Epstein, SE, Erdmann, J, Esko, T, Farrall, M, Feitosa, MF, Ford, I, Franceschini, N, Franco, OH, Franzosi, MG, Frossard, P, Gauguier, D, Gieger, C, Goel, A, Goodall, AH, Gottesman, O, Grace, C, Granger, CB, Gu, D, Gudnason, V, Gustafsson, S, Haber, M, Hall, AS, Hall, LM, Hamsten, A, Han, B-G, Harris, TB, Hazen, SL, Hengstenberg, C, Hofman, A, Hopewell, JC, Huang, J, Huang, J, Hwang, S-J, Ingelsson, E, Iribarren, C, Jalilzadeh, S, Jukema, JW, Kanoni, S, Karhunen, PJ, Kathiresan, S, Kessler, T, Kim, B-J, Kim, YK, Kleber, ME, Koenig, IR, Kooner, JS, Kullo, IJ, Kyriakou, T, Lannfelt, L, Lau, KW, Lehtimaki, T, Lieb, W, Lind, L, Lindgren, CM, Lokki, M-L, Loos, RJF, Lu, X, Lu, Y, Lyytikainen, L-P, Maerz, W, Magnusson, PK, Mallick, NH, McPherson, R, Mehra, N, Meitinger, T, Melander, O, Memon, F-U-R, Metspalu, A, Mihailov, E, Morris, AP, Morrison, AC, Nelson, CP, Nieminen, MS, Nikpay, M, O'Donnell, CJ, Palmer, CN, Pedersen, NL, Perola, M, Pervjakova, N, Peters, A, Qu, L, Quertermous, T, Rader, DJ, Rallidis, LS, Rasheed, A, Reilly, MP, Ridker, PM, Ripatti, S, Roberts, R, Rose, LM, Saleheen, D, Salfati, E, Salomaa, V, Samani, NJ, Samuel, M, Sanghera, DK, Saxena, R, Scholz, M, Schunkert, H, Schwartz, SM, Seedorf, U, Shah, SH, Sinisalo, J, Smith, AV, Stewart, AF, Stirrups, KE, Stott, DJ, Thiery, J, Thompson, JR, Tikkanen, E, Trompet, S, Uitterlinden, A, van Zuydam, NR, Wang, L, Watkins, H, Webb, TR, Willenborg, C, Won, H-H, Yang, X, Zalloua, PA, Zaman, KS, Zeng, L, Zhang, W, Zhao, W   +151 more
core   +5 more sources

Prioritizing candidate eQTL causal genes in Arabidopsis using RANDOM FORESTS [PDF]

, 2022
Margi Hartanto, Asif Ahmed Sami, Dick de Ridder, Harm Nijveen   +3 more
openalex   +1 more source

MendelR: A One‐Stop R Toolkit for Mendelian Randomization Analysis

Med Research, EarlyView.
ABSTRACT MendelR is a fully automated R package specifically developed for Mendelian randomization (MR) studies, designed to address the technical challenges of causal inference in biomedical research. As a powerful causal inference method, Mendelian randomization can effectively reduce confounding bias in observational studies.
Xiaohong Ke, Kailai Li, Anqi Lin, Yasi Zhang, Peng Luo   +4 more
wiley   +1 more source

Intra- and inter-individual genetic differences in gene expression [PDF]

, 2008
Genetic variation is known to influence the amount of mRNA produced by a gene. Given that the molecular machines control mRNA levels of multiple genes, we expect genetic variation in the components of these machines would influence multiple genes in a ...
A Ghazalpour, A Reverter, A Subramanian, AJ Butte, BA Taylor, BE Stranger, BH Voy, C Wu, Chris J. Cotsapas, CJ Cotsapas, D Gatti, D Vlieghe, David J. Nott, E Petretto, EJ Chesler, EJ Chesler, EJ Foss, Eva K. F. Chan, G Gibson, G Passador-Gurgel, HH Goring, I Hovatta, I Lönnstedt, J Brumm, JC Gower, Jeremy N. Pulvers, JJ Keurentjes, JJ Nadler, KA Frazer, L Bystrykh, M Bansal, M Mehrabian, M Wirth, MA West, Mark J. Cowley, MC Frith, Michael Y. Liu, MP Keller, MT Pletcher, MV Rockman, N Hubner, NN Batada, Oscar J. Luo, P Blache, Peter F. R. Little, R Ihaka, R Sandberg, RB Brem, RB Williams, RC Gentleman, RM Kuhn, Rohan B. H. Williams, S Biswas, TC Freeman, TM Fruchterman, V Emilsson, X Yang, Y Chen, Y Fukuoka   +58 more
core   +4 more sources

Single-cell deconvolution of 3,000 post-mortem brain samples for eQTL and GWAS dissection in mental disorders [PDF]

, 2021
Yongjin Park, Liang He, José Dávila-Velderrain, Lei Hou, Shahin Mohammadi, Hansruedi Mathys, Zhuyu Peng, David A. Bennett, Li‐Huei Tsai, Manolis Kellis   +9 more
openalex   +1 more source

Investigating the shared genetic architecture between obstructive sleep apnea and sleep‐related traits

Sleep Research, EarlyView.
Abstract Background Despite a strong link between obstructive sleep apnea (OSA) and sleep traits, the shared genetic architecture remains unclear. This study aims to explore the shared genetic basis and bidirectional causal between OSA and sleep traits.
Sizhi Ai, Hengyu Zhang, Jiaqi Liu, Zhen Song, Zaiming Liao, Guohua Li, Shujuan Yin, Binhe Yu, Sheng Guo, Ruizhi Zhang, Caihui Cha, Yingjun Zheng   +11 more
wiley   +1 more source

Mediation analysis demonstrates that trans-eQTLs are often explained by cis-mediation: a genome-wide analysis among 1,800 South Asians. [PDF]

PLoS Genetics, 2014
A large fraction of human genes are regulated by genetic variation near the transcribed sequence (cis-eQTL, expression quantitative trait locus), and many cis-eQTLs have implications for human disease.
Brandon L Pierce, Lin Tong, Lin S Chen, Ronald Rahaman, Maria Argos, Farzana Jasmine, Shantanu Roy, Rachelle Paul-Brutus, Harm-Jan Westra, Lude Franke, Tonu Esko, Rakibuz Zaman, Tariqul Islam, Mahfuzar Rahman, John A Baron, Muhammad G Kibriya, Habibul Ahsan   +16 more
doaj   +1 more source

Integrating eQTL and GWAS data characterises established and identifies novel migraine risk loci [PDF]

, 2023
Ammarah Ghaffar, Dale R. Nyholt
openalex   +1 more source

powerEQTL: an R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis

bioRxiv, 2020
Summary Genome-wide association studies (GWAS) have revealed thousands of genetic loci for common diseases. One of the main challenges in the post-GWAS era is to understand the causality of the genetic variants. Expression quantitative trait locus (eQTL)
Xianjun Dong, Xiaoqi Li, Tzuu-Wang Chang, S. Weiss, W. Qiu   +4 more
semanticscholar   +1 more source

Identification of genetically predicted protein biomarkers and drug targets for prostate cancer via Mendelian randomization

VIEW, EarlyView.
Prostate cancer, a leading cause of cancer in men globally, urgently requires improved diagnostic and treatment strategies. This study analyzed large genetic datasets and identified five key proteins (THBD, DST, IFI27L2, OSBPL10, PPP1R14A) that either increase or decrease cancer risk, while also exploring their roles in immune response and potential ...
Maoping Cai, Tianming Peng, Zhiyue Xie, Chuqian Zhen, Chen Yao, Nan Peng, Qianyi Li, Yuzhong Yu, Jiming Bao, Xian‐Lu Song, Mingkun Chen, Shan‐Chao Zhao   +11 more
wiley   +1 more source