Results 21 to 30 of about 70,702 (197)

Can we apply the Mendelian randomization methodology without considering epigenetic effects?

Emerging Themes in Epidemiology, 2009
Introduction Instrumental variable (IV) methods have been used in econometrics for several decades now, but have only recently been introduced into the epidemiologic research frameworks.
Karmaus Wilfried, Zhang Hongmei, Ogbuanu Ikechukwu U   +2 more
doaj   +1 more source

Circulating Selenium and Prostate Cancer Risk: A Mendelian Randomization Analysis [PDF]

JNCI: Journal of the National Cancer Institute, 2017
AbstractIn the Selenium and Vitamin E Cancer Prevention Trial (SELECT), selenium supplementation (causing a median 114 μg/L increase in circulating selenium) did not lower overall prostate cancer risk, but increased risk of high-grade prostate cancer and type 2 diabetes.
Yarmolinsky, James, Bonilla, Carolina, Haycock, Philip, Langdon, Ryan, Lotta, Luca, Langenberg, Claudia, Relton, Caroline, Lewis, Sarah, Evans, David, Smith, George Davey, Martin, Richard, Batra, Jyotsna, Clements, Judith, other, and   +13 more
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Causal effects of physical activity on the risk of overall ovarian cancer: A Mendelian randomization study

Digital Health, 2023
Objective Inconsistent results were reported on the association of physical activity with ovarian cancer. However, given the limitations of confounders and inverse causation, the validity of the association remained unclear. Therefore, we conducted a two-
Jing Wang, Huanling Zhao, Jiahao Zhu, Minmin Jiang   +3 more
doaj   +1 more source

Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries. [PDF]

, 2018
Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use
Alver, Maris, Bloom, Jonathan, Budoff, Matthew, Chaffin, Mark, Correa, Adolfo, Cupples, L Adrienne, Daly, Mark J, Engreitz, Jesse, Ernst, Jason, Esko, Tonu, Fu, Mao, Ganna, Andrea, Handsaker, Robert E, Johnson, W Craig, Kathiresan, Sekar, Kellis, Manolis, Manichaikul, Ani, McCarroll, Steven, Metspalu, Andres, Mitchell, Braxton D, Natarajan, Pradeep, Neale, Benjamin M, NHLBI TOPMed Lipids Working Group, Peloso, Gina M, Post, Wendy, Poterba, Timothy, Rich, Stephen S, Ripatti, Samuli, Rotter, Jerome I, Ruotsalainen, Sanni, Ryan, Kathleen A, Salomaa, Veikko, Seed, Cotton, Surakka, Ida, Tsai, Michael, Vasan, Ramachandran S, Wilson, James G, Yang, Chaojie, Zekavat, Seyedeh M   +38 more
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Variability in genes regulating vitamin D metabolism is associated with vitamin D levels in type 2 diabetes [PDF]

, 2018
Mortality rate is increased in type 2 diabetes (T2D). Low vitamin D levels are associated with increased mortality risk in T2D. In the general population, genetic variants affecting vitamin D metabolism (DHCR7 rs12785878, CYP2R1 rs10741657, GC rs4588 ...
Alessi, Elena, Bagella, FRANCESCO MARIA, Bailetti, Diego, Barchetta, Ilaria, Baroni Marco, Giorgio., Bertoccini, Laura, Buzzetti, Raffaella, Capoccia, Danila, Cavallo, Maria Gisella, Coccia, Federica, Conti, Francesco, Copetti, Massimiliano, Cossu, Efisio, D'Angelo, Paola, D'Onofrio, Luca, De Cosmo, Salvatore, Di Mauro, Lazzaro, Filardi, Tiziana, Gianluca, Margiotta, Giulia, Leanza, Incani, Michela, Leonetti, Frida, Maria Giovanna Scarale,, Morano, Susanna, Moretti, Chiara, Morviducci, Lelio, Napoli, Nicola, Pamela, Piscitelli, Pezzilli, Serena, Pibiri, Carlotta, Prudente, Sabrina, Pugliese, Giuseppe, Sentinelli, Federica, Silvia, Carletti, SUMMER Study in Diabetes Group (Summer,, Tavaglione, Federica, Trischitta, Vincenzo   +36 more
core   +1 more source

Statistical methods for Mendelian randomization in genome-wide association studies: A review

Computational and Structural Biotechnology Journal, 2022
Genome-wide association studies have yielded thousands of associations for many common diseases and disease-related complex traits. The identified associations made it possible to identify the causal risk factors underlying diseases and investigate the ...
Frederick J. Boehm, Xiang Zhou
doaj   +1 more source

Worldwide Exposures to Cardiovascular Risk Factors and Associated Health Effects: Current Knowledge and Data Gaps. [PDF]

, 2016
Information on exposure to, and health effects of, cardiovascular disease (CVD) risk factors is needed to develop effective strategies to prevent CVD events and deaths.
Elliott, P, Ezzati, M, Kontis, V, Tzoulaki, I   +3 more
core   +1 more source

Body Shape and Alzheimer’s Disease: A Mendelian Randomization Analysis [PDF]

Frontiers in Neuroscience, 2019
Obesity has been reported to be related to memory impairment and decline in cognitive function, possibly further leading to the development of Alzheimer's disease (AD). However, observational studies revealed both negative and positive associations between body shape (BS) and AD, thereby making it difficult to confirm causality due to residual ...
Yuchang Zhou, Xiubin Sun, Maigeng Zhou
openaire   +3 more sources

Genome-wide association study identifies common and low-frequency variants at the AMHgene locus that strongly predict serum AMH levels in males [PDF]

, 2016
Anti-Müllerian hormone (AMH) is an essential messenger of sexual differentiation in the foetus and is an emerging biomarker of postnatal reproductive function in females.
Day, Felix R., Lawlor, Debbie A., McMahon, George, Nelson, Scott M., Perry, John R.B., Ring, Susan M.   +5 more
core   +1 more source

Overview of Mendelian Randomization Analysis

Journal of Rheumatic Diseases, 2020
The inference of causality from observational evidence may be problematic, as observational studies frequently include confounding factors or reverse causation for the identification of associations between exposure and outcome. Thus, in observational studies, the association between a risk factor and a disease of interest may not be causal.
openaire   +2 more sources