Evidence map›Paper›PMID 32307928›Full record

ArticleMolecular genetics & genomic medicine2020

A polygenic biomarker to identify patients with severe hypercholesterolemia of polygenic origin.

Luis G Leal, Clive Hoggart, Marjo-Riitta Jarvelin, Karl-Heinz Herzig, Michael J E Sternberg, Alessia David

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Luis G LealDepartment of Life Sciences, Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London, United Kingdom.
Clive HoggartDepartment of Medicine, Imperial College London, London, United Kingdom.
Marjo-Riitta JarvelinFaculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu, Finland.
Karl-Heinz HerzigBiocenter Oulu, University of Oulu, Oulu, Finland.
Michael J E SternbergDepartment of Life Sciences, Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London, United Kingdom.ORCID 0000-0002-1884-5445
Alessia DavidDepartment of Life Sciences, Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London, United Kingdom.ORCID 0000-0001-8687-024X
Imperial College London · GBOulu University Hospital · FIPoznan University of Medical Sciences · PL

Funding

JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
Development and Use of Network Infrastructure for High-Throughput GWA StudiesU01HG004610 · NHGRI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI LARSON, ERIC B · 2007 to 2010
$4.2M
Genetics of cardiovascular risk factors in large founder population birth controlR01HL087679 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HIRSCHHORN, JOEL N · 2007 to 2009
$4.0M
Genome-wide Studies from the NUgene BiorespositoryU01HG004609 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHISHOLM, REX L · 2007 to 2010
$3.7M
Genome-Wide Study of Cataract and Low HDL in the Personalized Medicine Research PU01HG004608 · NHGRI · MARSHFIELD CLINIC RESEARCH FOUNDATION · PI MCCARTY, CATHERINE ANNE · 2007 to 2010
$3.3M
Genetic Influences on ADHD in a Finnish Birth CohortR01MH063706 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SMALLEY, SUSAN L · 2001 to 2005
$3.3M
Whole Genome Assoc. Analysis Strategies for Multi. PhenotypesRL1MH083268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2007 to 2011
$2.1M
Medical Research Council MR/M013138/1Medical Research Council MR/M013138/2NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004608NHGRI NIH HHS U01 HG004609NHGRI NIH HHS U01 HG004610NHLBI NIH HHS R01 HL087679NIMH NIH HHS R01 MH063706NIMH NIH HHS RL1 MH083268Wellcome TrustWellcome Trust WT/104955/Z/14/Z
6 · The paper itself

Abstract

backgroundSevere hypercholesterolemia (HC, LDL-C > 4.9 mmol/L) affects over 30 million people worldwide. In this study, we validated a new polygenic risk score (PRS) for LDL-C.

methodsSummary statistics from the Global Lipid Genome Consortium and genotype data from two large populations were used.

resultsA 36-SNP PRS was generated using data for 2,197 white Americans. In a replication cohort of 4,787 Finns, the PRS was strongly associated with the LDL-C trait and explained 8% of its variability (p = 10

conclusionThe new PRS has a better predictive role in identifying HC of polygenic origin compared to the currently available method and can better stratify patients into diagnostic and therapeutic algorithms.

Indexed as

Multifactorial InheritancePolymorphism, Single NucleotideAgedCholesterol, LDLFemaleFinlandHumansHypercholesterolemiaMaleMiddle AgedUnited StatesCholesterol, LDLhypercholesterolemialipidspolygenic risk scorerisk stratification

Identifiers

PMID32307928
PMCPMC7284038
OpenAlexW3016955394

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.