Literature DB >> 34135084

Mendelian Randomization Analysis as a Tool to Gain Insights into Causes of Diseases: A Primer.

Adrienne Tin1,2, Anna Köttgen2,3.   

Abstract

Many Mendelian randomization (MR) studies have been published recently, with inferences on the causal relationships between risk factors and diseases that have potential implications for clinical research. In nephrology, MR methods have been applied to investigate potential causal relationships of traditional risk factors, lifestyle factors, and biomarkers from omics technologies with kidney function or CKD. This primer summarizes the basic concepts of MR studies, highlighting methods used in recent applications, and emphasizes key elements in conducting and reporting of MR studies that are important for interpreting the results.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  Epidemiology and outcomes

Mesh:

Year:  2021        PMID: 34135084      PMCID: PMC8722812          DOI: 10.1681/ASN.2020121760

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  62 in total

1.  Million Veteran Program: A mega-biobank to study genetic influences on health and disease.

Authors:  John Michael Gaziano; John Concato; Mary Brophy; Louis Fiore; Saiju Pyarajan; James Breeling; Stacey Whitbourne; Jennifer Deen; Colleen Shannon; Donald Humphries; Peter Guarino; Mihaela Aslan; Daniel Anderson; Rene LaFleur; Timothy Hammond; Kendra Schaa; Jennifer Moser; Grant Huang; Sumitra Muralidhar; Ronald Przygodzki; Timothy J O'Leary
Journal:  J Clin Epidemiol       Date:  2015-10-09       Impact factor: 6.437

2.  A bidirectional Mendelian randomization study supports causal effects of kidney function on blood pressure.

Authors:  Zhi Yu; Josef Coresh; Guanghao Qi; Morgan Grams; Eric Boerwinkle; Harold Snieder; Alexander Teumer; Cristian Pattaro; Anna Köttgen; Nilanjan Chatterjee; Adrienne Tin
Journal:  Kidney Int       Date:  2020-05-23       Impact factor: 10.612

Review 3.  Mendelian randomization in cardiometabolic disease: challenges in evaluating causality.

Authors:  Michael V Holmes; Mika Ala-Korpela; George Davey Smith
Journal:  Nat Rev Cardiol       Date:  2017-06-01       Impact factor: 32.419

4.  Mendelian randomization analysis with multiple genetic variants using summarized data.

Authors:  Stephen Burgess; Adam Butterworth; Simon G Thompson
Journal:  Genet Epidemiol       Date:  2013-09-20       Impact factor: 2.135

5.  Investigating the Causal Relationship of C-Reactive Protein with 32 Complex Somatic and Psychiatric Outcomes: A Large-Scale Cross-Consortium Mendelian Randomization Study.

Authors:  Bram P Prins; Ali Abbasi; Anson Wong; Ahmad Vaez; Ilja Nolte; Nora Franceschini; Philip E Stuart; Javier Guterriez Achury; Vanisha Mistry; Jonathan P Bradfield; Ana M Valdes; Jose Bras; Aleksey Shatunov; Chen Lu; Buhm Han; Soumya Raychaudhuri; Steve Bevan; Maureen D Mayes; Lam C Tsoi; Evangelos Evangelou; Rajan P Nair; Struan F A Grant; Constantin Polychronakos; Timothy R D Radstake; David A van Heel; Melanie L Dunstan; Nicholas W Wood; Ammar Al-Chalabi; Abbas Dehghan; Hakon Hakonarson; Hugh S Markus; James T Elder; Jo Knight; Dan E Arking; Timothy D Spector; Bobby P C Koeleman; Cornelia M van Duijn; Javier Martin; Andrew P Morris; Rinse K Weersma; Cisca Wijmenga; Patricia B Munroe; John R B Perry; Jennie G Pouget; Yalda Jamshidi; Harold Snieder; Behrooz Z Alizadeh
Journal:  PLoS Med       Date:  2016-06-21       Impact factor: 11.069

6.  A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization.

Authors:  Jack Bowden; Fabiola Del Greco M; Cosetta Minelli; George Davey Smith; Nuala Sheehan; John Thompson
Journal:  Stat Med       Date:  2017-01-23       Impact factor: 2.373

Review 7.  Overview of the BioBank Japan Project: Study design and profile.

Authors:  Akiko Nagai; Makoto Hirata; Yoichiro Kamatani; Kaori Muto; Koichi Matsuda; Yutaka Kiyohara; Toshiharu Ninomiya; Akiko Tamakoshi; Zentaro Yamagata; Taisei Mushiroda; Yoshinori Murakami; Koichiro Yuji; Yoichi Furukawa; Hitoshi Zembutsu; Toshihiro Tanaka; Yozo Ohnishi; Yusuke Nakamura; Michiaki Kubo
Journal:  J Epidemiol       Date:  2017-02-08       Impact factor: 3.211

8.  A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome.

Authors:  Tom G Richardson; Gibran Hemani; Tom R Gaunt; Caroline L Relton; George Davey Smith
Journal:  Nat Commun       Date:  2020-01-10       Impact factor: 14.919

9.  Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes.

Authors:  Brian A Ference; Jennifer G Robinson; Robert D Brook; Alberico L Catapano; M John Chapman; David R Neff; Szilard Voros; Robert P Giugliano; George Davey Smith; Sergio Fazio; Marc S Sabatine
Journal:  N Engl J Med       Date:  2016-12-01       Impact factor: 91.245

10.  Conventional and Genetic Evidence on the Association between Adiposity and CKD.

Authors:  Pengfei Zhu; William G Herrington; Richard Haynes; Jonathan Emberson; Martin J Landray; Cathie L M Sudlow; Mark Woodward; Colin Baigent; Sarah Lewington; Natalie Staplin
Journal:  J Am Soc Nephrol       Date:  2020-10-30       Impact factor: 10.121

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  3 in total

1.  Association Between Telomere Length and Skin Cancer and Aging: A Mendelian Randomization Analysis.

Authors:  Nannan Son; Yankun Cui; Wang Xi
Journal:  Front Genet       Date:  2022-07-12       Impact factor: 4.772

2.  Serum bilirubin and kidney function: a Mendelian randomization study.

Authors:  Sehoon Park; Soojin Lee; Yaerim Kim; Yeonhee Lee; Min Woo Kang; Kwangsoo Kim; Yong Chul Kim; Seung Seok Han; Hajeong Lee; Jung Pyo Lee; Kwon Wook Joo; Chun Soo Lim; Yon Su Kim; Dong Ki Kim
Journal:  Clin Kidney J       Date:  2022-05-02

Review 3.  Distinct Mitochondrial Pathologies Caused by Mutations of the Proximal Tubular Enzymes EHHADH and GATM.

Authors:  Anna-Lena Forst; Markus Reichold; Robert Kleta; Richard Warth
Journal:  Front Physiol       Date:  2021-07-19       Impact factor: 4.566

  3 in total

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