Results 171 to 180 of about 314,978 (365)

Identification of Cathepsin H and Metabolic Traits as Potential Biomarkers for Lung Cancer by Mendelian Randomization and Single‐Cell Transcriptomics

Advanced Genetics, EarlyView.
This study explores the link between CTSH and lung cancer, covering global trends in lung cancer and hyperglycemia, MR analysis of CTSH and 233 metabolic traits, and scRNA analysis, along with multi‐level validation of CTSH expression in LUAD. These findings offer valuable insights into lung cancer biology and provide new perspectives for biomarker ...
Chenghu Song, Weici Liu, Zhao He, Jiwei Liu, Ruixin Wang, Lei Wu, Yize Wang, Mingfeng Zheng, Dong Tian, Wenjun Mao   +9 more
wiley   +1 more source

Dissecting maternal and fetal genetic effects underlying the associations between maternal phenotypes, birth outcomes, and adult phenotypes: A mendelian-randomization and haplotype-based genetic score analysis in 10,734 mother–infant pairs

, 2020
Jing Chen, Jonas Bačelis, Pol Solé-Navais, Amit Kumar Srivastava, Julius Juodakis, Amy Rouse, Mikko Hallman, Kari Teramo, Mads Melbye, Bjarke Feenstra, Rachel M. Freathy, George Davey Smith, Debbie A. Lawlor, Jeffrey C. Murray, Scott M. Williams, Bo Jacobsson, Louis J. Muglia, Ge Zhang   +17 more
openalex   +1 more source

Rare Structural Variants Uncovered by Optical Genome Mapping in Multisystem Inflammatory Syndrome in Children (MIS‐C)

Advanced Genetics, EarlyView.
This study applies optical genome mapping (OGM) to children with multisystem inflammatory syndrome (MIS‐C), revealing rare structural and copy number variants in and near immune‐related genes, including ORAI1, STAT4, ITPR1, BATF, CFHR5, and DOCK2.
Catherine A. Brownstein, Caspar I. van der Made, Kristin Cabral, Shira Rockowitz, Donghun Kang, Maximilian Schieck, Andy Wing Chun Pang, Jeffrey M. Robinson, Alex R. Hastie, Alka Chaubey, The C.O.V.I.D19hostgenomeS.V. Consortium, Alexander Hoischen, Alan H. Beggs, Clement A. Adebamowo, Ali Andalibi, Silviu‐Alin Bacanu, Vineet Bafna, Justin Bahl, Hayk Barseghyan, Alan Beggs, Laurie Burdette, Manish Butte, Pantelis Constantoulakis, Keith A. Crandall, Siavash R. Dehkordi, Megan Dennis, Gang Fang, Olivier Fedrigo, Darren Finlay, Michael A. Goldman, Umamaheswaran Gurusamy, Vanessa Hayes, Glenn Hickey, Alexander Hoischen, Thomas Illig, Alexander Ioannidis, Erich Jarvis, Naoru Koizumi, Ravindra Kolhe, Meriem Laamarti, Celia Labranche, Sandra Leibel, Brynn Levy, Matthew Loose, Claudio Mello, Jamal Nasir, Thuy L. Phung, Chethan P. Venkatasubba Rao, Ted Ross, Nikhil S. Sahajpal, Rashmi K. Shamanna, Daniela C. Soto, Amir Trablesi, Zi‐Xuan Wang, Sion Llewelyn Williams, Victoria Wright, Hua Zhao, Michael Zody   +57 more
wiley   +1 more source

Causal association of plasminogen activators and their inhibitors with Alzheimer’s disease: a Mendelian randomization study

Archives of Medical Science
Introduction Alzheimer’s disease (AD) is the most common cause of dementia and contributes to a huge burden of disease worldwide. Observational studies have found that tissue plasminogen activator (t-PA) inhibits the development of AD, but little is ...
Xin Guo, Fangyu Gao, Baolong Pan, Feng Gao, Jingsi Zhang, Shanshan Wang, Qiao Niu   +6 more
doaj   +1 more source

Mendelian Randomisation: Concepts, Opportunities, Challenges, and Future Directions

Global Heart
Mendelian randomisation is an approach in genetic epidemiology that uses genetic variants as instrumental variables to investigate the causal relationship between genetically proxied exposures and health outcomes.
Sophie C. de Ruiter, Lena Tschiderer, Diederick E. Grobbee, Peter Willeit, Hester M. den Ruijter, A. Floriaan Schmidt, Sanne A. E. Peters   +6 more
doaj   +1 more source

Association between cannabis use with urological cancers: A population‐based cohort study and a mendelian randomization study in the UK biobank

, 2022
Jingyi Huang, Da Huang, Xiaohao Ruan, Jinlun Huang, Danfeng Xu, Susan Heavey, Jonathan Olivier, Rong Na   +7 more
openalex   +1 more source

Introduction to Mendelian randomization

Annals of Clinical Epidemiology
Mendelian randomization (MR), i.e. instrumental variable analysis using genetic instruments, is an approach that incorporates population genetics to improve causal inference. Given that genetics are randomly allocated at conception, this resembles the randomization process in randomized controlled trials and hence is more resistant to unobserved ...
Yeung, Shiu Lun Au, Luo, Shan, Iwagami, Masao, Goto, Atsushi   +3 more
openaire   +2 more sources

The causal relationship between systemic lupus erythematosus and juvenile myoclonic epilepsy: A Mendelian randomization study and mediation analysis

Ibrain, Volume 11, Issue 1, Page 98-105, Spring 2025.
Mendelian randomization (MR) studies were conducted using the inverse‐variance weighted (IVW) method, MR‐Egger and weighted median on juvenile myoclonic epilepsy (JME), and systemic lupus erythematosus (SLE) data from the Integrative Epidemiology Unit (IEU) Open genome‐wide association study (GWAS) database and the International League Against Epilepsy
Sirui Chen, Ningning Zhang, Ruirui Zhang, Lan Zhang, Dadong Luo, Junqiang Li, Yaqing Liu, Yunan Wang, Xinyue Duan, Xin Tian, Tiancheng Wang   +10 more
wiley   +1 more source

Therapeutic potential of IL6R blockade for the treatment of sepsis and sepsis-related death: Findings from a Mendelian randomisation study [PDF]

, 2022
Fergus Hamilton, Matt Thomas, David Arnold, Tom Palmer, Ed Moran, Alexander J. Mentzer, Nick Maskell, J. Kenneth Baillie, Charlotte Summers, Aroon D. Hingorani, Alasdair MacGowan, Golam M Khandakar, Ruth E. Mitchell, George Davey Smith, Peter Ghazal, Nicholas J. Timpson   +15 more
openalex   +1 more source

Mendelian or Non-Mendelian? [PDF]

Science, 1921
openaire   +2 more sources