Literature DB >> 26149738

Pharmacogenomic variants have larger effect sizes than genetic variants associated with other dichotomous complex traits.

J C Maranville1,2, N J Cox1,2.   

Abstract

It has been suggested that pharmacogenomic phenotypes are influenced by genetic variants with larger effect sizes than other phenotypes, such as complex disease risk. This is presumed to reflect the fact that relevant environmental factors (drug exposure) are appropriately measured and taken into account. To test this hypothesis, we performed a systematic comparison of effect sizes between pharmacogenomic and non-pharmacogenomic phenotypes across all genome-wide association studies (GWAS) reported in the NHGRI GWAS catalog. We found significantly larger effect sizes for studies focused on pharmacogenomic phenotypes, as compared with complex disease risk, morphological phenotypes and endophenotypes. We found no significant differences in effect sizes between pharmacogenomic studies focused on adverse events versus those focused on drug efficacy. Furthermore, we found that this pattern persists among sample size-matched studies, suggesting that this pattern does not reflect overestimation of effect sizes due to smaller sample sizes in pharmacogenomic studies.The Pharmacogenomics Journal advance online publication, 7 July 2015; doi:10.1038/tpj.2015.47.

Entities:  

Mesh:

Year:  2015        PMID: 26149738      PMCID: PMC4704992          DOI: 10.1038/tpj.2015.47

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  22 in total

1.  Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk.

Authors:  David M Evans; Peter M Visscher; Naomi R Wray
Journal:  Hum Mol Genet       Date:  2009-06-24       Impact factor: 6.150

2.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

Review 3.  Estimation and partition of heritability in human populations using whole-genome analysis methods.

Authors:  Anna A E Vinkhuyzen; Naomi R Wray; Jian Yang; Michael E Goddard; Peter M Visscher
Journal:  Annu Rev Genet       Date:  2013-08-22       Impact factor: 16.830

4.  IL28B is associated with response to chronic hepatitis C interferon-alpha and ribavirin therapy.

Authors:  Vijayaprakash Suppiah; Max Moldovan; Golo Ahlenstiel; Thomas Berg; Martin Weltman; Maria Lorena Abate; Margaret Bassendine; Ulrich Spengler; Gregory J Dore; Elizabeth Powell; Stephen Riordan; David Sheridan; Antonina Smedile; Vincenzo Fragomeli; Tobias Müller; Melanie Bahlo; Graeme J Stewart; David R Booth; Jacob George
Journal:  Nat Genet       Date:  2009-09-13       Impact factor: 38.330

Review 5.  Genetic risk prediction in complex disease.

Authors:  Luke Jostins; Jeffrey C Barrett
Journal:  Hum Mol Genet       Date:  2011-08-25       Impact factor: 6.150

Review 6.  Association of HLA-B*5801 allele and allopurinol-induced Stevens Johnson syndrome and toxic epidermal necrolysis: a systematic review and meta-analysis.

Authors:  Ratchadaporn Somkrua; Elizabeth E Eickman; Surasak Saokaew; Manupat Lohitnavy; Nathorn Chaiyakunapruk
Journal:  BMC Med Genet       Date:  2011-09-09       Impact factor: 2.103

Review 7.  The success of pharmacogenomics in moving genetic association studies from bench to bedside: study design and implementation of precision medicine in the post-GWAS era.

Authors:  Marylyn D Ritchie
Journal:  Hum Genet       Date:  2012-08-25       Impact factor: 4.132

8.  Ubiquitous polygenicity of human complex traits: genome-wide analysis of 49 traits in Koreans.

Authors:  Jian Yang; Taeheon Lee; Jaemin Kim; Myeong-Chan Cho; Bok-Ghee Han; Jong-Young Lee; Hyun-Jeong Lee; Seoae Cho; Heebal Kim
Journal:  PLoS Genet       Date:  2013-03-07       Impact factor: 5.917

9.  Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process.

Authors:  Kelly E Caudle; Teri E Klein; James M Hoffman; Daniel J Muller; Michelle Whirl-Carrillo; Li Gong; Ellen M McDonagh; Katrin Sangkuhl; Caroline F Thorn; Matthias Schwab; Jose A G Agundez; Robert R Freimuth; Vojtech Huser; Ming Ta Michael Lee; Otito F Iwuchukwu; Kristine R Crews; Stuart A Scott; Mia Wadelius; Jesse J Swen; Rachel F Tyndale; C Michael Stein; Dan Roden; Mary V Relling; Marc S Williams; Samuel G Johnson
Journal:  Curr Drug Metab       Date:  2014-02       Impact factor: 3.731

10.  Power and predictive accuracy of polygenic risk scores.

Authors:  Frank Dudbridge
Journal:  PLoS Genet       Date:  2013-03-21       Impact factor: 5.917

View more
  26 in total

Review 1.  The Role of Pharmacogenomics in Bipolar Disorder: Moving Towards Precision Medicine.

Authors:  Claudia Pisanu; Urs Heilbronner; Alessio Squassina
Journal:  Mol Diagn Ther       Date:  2018-08       Impact factor: 4.074

Review 2.  Biomarkers of adverse drug reactions.

Authors:  Daniel F Carr; Munir Pirmohamed
Journal:  Exp Biol Med (Maywood)       Date:  2017-09-26

Review 3.  Genome-Wide Association Studies of Chemotherapeutic Toxicities: Genomics of Inequality.

Authors:  Brandon Mapes; Omar El Charif; Shereen Al-Sawwaf; M Eileen Dolan
Journal:  Clin Cancer Res       Date:  2017-04-25       Impact factor: 12.531

Review 4.  Pharmacogenomics of chronic obstructive pulmonary disease.

Authors:  Craig P Hersh
Journal:  Expert Rev Respir Med       Date:  2019-04-08       Impact factor: 3.772

5.  Genome-Wide Study Links PNPLA3 Variant With Elevated Hepatic Transaminase After Acute Lymphoblastic Leukemia Therapy.

Authors:  Y Liu; C A Fernandez; C Smith; W Yang; C Cheng; J C Panetta; N Kornegay; C Liu; L B Ramsey; S E Karol; L J Janke; E C Larsen; N Winick; W L Carroll; M L Loh; E A Raetz; S P Hunger; M Devidas; J J Yang; C G Mullighan; J Zhang; W E Evans; S Jeha; C-H Pui; M V Relling
Journal:  Clin Pharmacol Ther       Date:  2017-04-04       Impact factor: 6.875

Review 6.  Genetics of Common Antipsychotic-Induced Adverse Effects.

Authors:  Raymond R MacNeil; Daniel J Müller
Journal:  Mol Neuropsychiatry       Date:  2016-05-20

7.  New insights into the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation.

Authors:  C Fabbri; K E Tansey; R H Perlis; J Hauser; N Henigsberg; W Maier; O Mors; A Placentino; M Rietschel; D Souery; G Breen; C Curtis; L Sang-Hyuk; S Newhouse; H Patel; M Guipponi; N Perroud; G Bondolfi; M O'Donovan; G Lewis; J M Biernacka; R M Weinshilboum; A Farmer; K J Aitchison; I Craig; P McGuffin; R Uher; C M Lewis
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

Review 8.  Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences.

Authors:  Ryan Bogdan; David A A Baranger; Arpana Agrawal
Journal:  Annu Rev Clin Psychol       Date:  2018-05-07       Impact factor: 18.561

Review 9.  Genome-Wide and Gene-Based Meta-Analyses Identify Novel Loci Influencing Blood Pressure Response to Hydrochlorothiazide.

Authors:  Erika Salvi; Zhiying Wang; Federica Rizzi; Yan Gong; Caitrin W McDonough; Sandosh Padmanabhan; Timo P Hiltunen; Chiara Lanzani; Roberta Zaninello; Martina Chittani; Kent R Bailey; Antti-Pekka Sarin; Matteo Barcella; Olle Melander; Arlene B Chapman; Paolo Manunta; Kimmo K Kontula; Nicola Glorioso; Daniele Cusi; Anna F Dominiczak; Julie A Johnson; Cristina Barlassina; Eric Boerwinkle; Rhonda M Cooper-DeHoff; Stephen T Turner
Journal:  Hypertension       Date:  2016-10-31       Impact factor: 10.190

Review 10.  Pharmacogenomics in diabetes mellitus: insights into drug action and drug discovery.

Authors:  Kaixin Zhou; Helle Krogh Pedersen; Adem Y Dawed; Ewan R Pearson
Journal:  Nat Rev Endocrinol       Date:  2016-04-11       Impact factor: 43.330

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.