Evidence map›Paper›PMID 18535201›Full record

ArticleBlood2008

A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose.

Gregory M Cooper, Julie A Johnson, Taimour Y Langaee, Hua Feng, Ian B Stanaway, Ute I Schwarz, Marylyn D Ritchie, C Michael Stein, Dan M Roden, Joshua D Smith and 3 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Blood, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01520402 (Quantitative Pharmacogenomics of the Anticoagulant Response to Warfarin in Healthy Subjects), which is not on this map. Cited by 208 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
208citing papers in PubMed, 9 pooled it
63.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01520402 nacompletednot on this mapstarted 2009, after this paper: background citation

Quantitative Pharmacogenomics of the Anticoagulant Response to Warfarin in Healthy Subjects

TypeinterventionalSponsorIcahn School of Medicine at Mount SinaiRan2009 to 2011Enrolled35ConditionsHealthyArmsWarfarin
3 · Its place in the literature

Who cites it

208 citing papers in PubMed, 9 syntheses or guidelines pooled it, 486 citations in OpenAlex.

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  3. Influence ofCardiovascular therapeutics · 2021
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148 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Gregory M CooperDepartment of Genome Sciences, University of Washington, Seattle, WA98195, USA.
Julie A Johnson
Taimour Y Langaee
Hua Feng
Ian B Stanaway
Ute I Schwarz
Marylyn D Ritchie
C Michael Stein
Dan M Roden
Joshua D Smith
David L Veenstra
Allan E Rettie
Mark J Rieder
University of Washington · USVanderbilt University · USUniversity of Florida · USWestern University · CA

Funding

PHARMACOGENOMICS OF ARRHYTHMIA THERAPYU01HL065962 · NHLBI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2001 to 2009
$24.8M
Pharmacogenomic Evaluation of Antihypertensive ResponsesU01GM074492 · NIGMS · UNIVERSITY OF FLORIDA · PI JOHNSON, JULIE A. · 2005 to 2014
$20.7M
Pharmacogenetics of ADRs: Warfarin ToxicityR01GM068797 · NIGMS · UNIVERSITY OF WASHINGTON · PI RETTIE, ALLAN EDWARD · 2004 to 2010
$2.3M
Genetic Factors Influencing Warfarin DoseR01NS053646 · NINDS · UNIVERSITY OF WASHINGTON · PI RIEDER, MARK J · 2006 to 2008
$1.1M
NHLBI NIH HHS U01 HL065962NHLBI NIH HHS U01 HL65962NIGMS NIH HHS GM68797NIGMS NIH HHS R01 GM068797NIGMS NIH HHS U01 GM074492NIGMS NIH HHS U01GM074492NINDS NIH HHS NS053646NINDS NIH HHS R01 NS053646
6 · The paper itself

Abstract

Warfarin dosing is correlated with polymorphisms in vitamin K epoxide reductase complex 1 (VKORC1) and the cytochrome P450 2C9 (CYP2C9) genes. Recently, the FDA revised warfarin labeling to raise physician awareness about these genetic effects. Randomized clinical trials are underway to test genetically based dosing algorithms. It is thus important to determine whether common single nucleotide polymorphisms (SNPs) in other gene(s) have a large effect on warfarin dosing. A retrospective genome-wide association study was designed to identify polymorphisms that could explain a large fraction of the dose variance. White patients from an index warfarin population (n = 181) and 2 independent replication patient populations (n = 374) were studied. From the approximately 550 000 polymorphisms tested, the most significant independent effect was associated with VKORC1 polymorphisms (P = 6.2 x 10(-13)) in the index patients. CYP2C9 (rs1057910 CYP2C9*3) and rs4917639) was associated with dose at moderate significance levels (P approximately 10(-4)). Replication polymorphisms (355 SNPs) from the index study did not show any significant effects in the replication patient sets. We conclude that common SNPs with large effects on warfarin dose are unlikely to be discovered outside of the CYP2C9 and VKORC1 genes. Randomized clinical trials that account for these 2 genes should therefore produce results that are definitive and broadly applicable.

Indexed as

Polymorphism, Single NucleotideAryl Hydrocarbon HydroxylasesCytochrome P-450 CYP2C9GenomicsGenotypeHumansMixed Function OxygenasesPharmacogeneticsRandomized Controlled Trials as TopicRetrospective StudiesVitamin K Epoxide ReductasesWarfarinAryl Hydrocarbon HydroxylasesCYP2C9 protein, humanCytochrome P-450 CYP2C9Mixed Function OxygenasesVitamin K Epoxide ReductasesVKORC1 protein, humanWarfarin

Identifiers

PMID18535201
PMCPMC2515139
OpenAlexW2037171637

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.