Literature DB >> 16431263

Mendelian randomization: a new approach to studying epidemiology in ESRD.

Carmine Zoccali1, Alessandra Testa, Belinda Spoto, Giovanni Tripepi, Francesca Mallamaci.   

Abstract

Associations between environmental exposures and disease in epidemiological studies often are confounded and may result in erroneous interpretations. The random assortment of genes from parents to offspring at gamete formation--Mendelian randomization--is emerging as a useful method for studying the nature (causal or not) of environmental exposures. This occurs because the association between a disease and a polymorphism that mimics the biological link between a given exposure and the same disease is unaffected by the reverse causation that may complicate the interpretation of observational studies. Thus, similarly to randomized trials, association studies between gene polymorphisms with a well-established function may be useful for excluding confounding as an explanation for a given epidemiological relationship. The rationale behind this concept is that transmission of genes occurs in a random way; therefore, offspring have an equal chance of inheriting either of the 2 alleles that their parents have at any particular locus, a phenomenon independent from environmental factors. This is similar to the construct of randomized trials, in which randomization is expected to produce similar distributions of measured and unmeasured confounders between treated and untreated (control) groups. The equivalence between random assortment of alleles and random assignment of interventions in randomized studies is particularly useful because it may give a clue for interpreting associations that may be produced as both the effect of a gene or result of an environmental exposure. Examples are provided about the use of this concept to elucidate paradoxical inverse associations in epidemiological studies in the general and end-stage renal disease populations.

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Year:  2006        PMID: 16431263     DOI: 10.1053/j.ajkd.2005.10.027

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  7 in total

Review 1.  Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?

Authors:  Shah Ebrahim; George Davey Smith
Journal:  Hum Genet       Date:  2007-11-23       Impact factor: 4.132

Review 2.  Mendelian Randomization as an Approach to Assess Causality Using Observational Data.

Authors:  Peggy Sekula; Fabiola Del Greco M; Cristian Pattaro; Anna Köttgen
Journal:  J Am Soc Nephrol       Date:  2016-08-02       Impact factor: 10.121

Review 3.  Understanding the role of genetic polymorphisms in chronic kidney disease.

Authors:  Karin Luttropp; Peter Stenvinkel; Juan Jesús Carrero; Roberto Pecoits-Filho; Bengt Lindholm; Louise Nordfors
Journal:  Pediatr Nephrol       Date:  2008-03-27       Impact factor: 3.714

4.  Klotho variants and chronic hemodialysis mortality.

Authors:  David J Friedman; Maryam Afkarian; Hector Tamez; Ishir Bhan; Tamara Isakova; Myles Wolf; Elizabeth Ankers; Jun Ye; Marcello Tonelli; Carmine Zoccali; Makoto Kuro-o; Orson Moe; S Ananth Karumanchi; Ravi Thadhani
Journal:  J Bone Miner Res       Date:  2009-11       Impact factor: 6.741

5.  Genetic variants influencing elevated myeloperoxidase levels increase risk of stroke.

Authors:  Chia-Ling Phuah; Tushar Dave; Rainer Malik; Miriam R Raffeld; Alison M Ayres; Joshua N Goldstein; Anand Viswanathan; Steven M Greenberg; Jeremiasz M Jagiella; Björn M Hansen; Bo Norrving; Jordi Jimenez-Conde; Jaume Roquer; Alexander Pichler; Christian Enzinger; Joan Montaner; Israel Fernandez-Cadenas; Arne Lindgren; Agnieszka Slowik; Reinhold Schmidt; Alessandro Biffi; Natalia Rost; Carl D Langefeld; Hugh S Markus; Braxton D Mitchell; Brad B Worrall; Steven J Kittner; Daniel Woo; Martin Dichgans; Jonathan Rosand; Christopher D Anderson
Journal:  Brain       Date:  2017-10-01       Impact factor: 13.501

Review 6.  Smoking is associated with an increased risk of dementia: a meta-analysis of prospective cohort studies with investigation of potential effect modifiers.

Authors:  Guochao Zhong; Yi Wang; Yong Zhang; Jeff Jianfei Guo; Yong Zhao
Journal:  PLoS One       Date:  2015-03-12       Impact factor: 3.240

7.  Risk factors for heart valve calcification in chronic kidney disease.

Authors:  Shu Rong; Xin Qiu; Xiucai Jin; Minghua Shang; Yixin Huang; Zhihuan Tang; Weijie Yuan
Journal:  Medicine (Baltimore)       Date:  2018-02       Impact factor: 1.889

  7 in total

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