Evidence map›Paper›PMID 29507422›Full record

ArticleNature genetics2018

A large electronic-health-record-based genome-wide study of serum lipids.

Thomas J Hoffmann, Elizabeth Theusch, Tanushree Haldar, Dilrini K Ranatunga, Eric Jorgenson, Marisa W Medina, Mark N Kvale, Pui-Yan Kwok, Catherine Schaefer, Ronald M Krauss and 2 more

Abstract read
In one paragraph

Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 190 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed, 20 pooled it
–field-weighted citation impact
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

190 citing papers in PubMed, 20 syntheses or guidelines pooled it.

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  4. X-linked genetic associations in sporadic thoracic aortic dissection.American journal of medical genetics. Part A · 2024
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130 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

12 authors.

Thomas J HoffmannInstitute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA. thomas.hoffmann@ucsf.edu.ORCID http://orcid.org/0000-0001-6893-4449
Elizabeth TheuschChildren's Hospital Oakland Research Institute, Oakland, CA, USA.ORCID http://orcid.org/0000-0002-5678-759X
Tanushree HaldarInstitute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
Dilrini K RanatungaDivision of Research, Kaiser Permanente, Northern California, Oakland, CA, USA.
Eric JorgensonDivision of Research, Kaiser Permanente, Northern California, Oakland, CA, USA.ORCID http://orcid.org/0000-0002-5829-8191
Marisa W MedinaChildren's Hospital Oakland Research Institute, Oakland, CA, USA.ORCID http://orcid.org/0000-0002-3631-0129
Mark N KvaleInstitute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
Pui-Yan KwokInstitute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-5087-3059
Catherine SchaeferDivision of Research, Kaiser Permanente, Northern California, Oakland, CA, USA.
Ronald M KraussChildren's Hospital Oakland Research Institute, Oakland, CA, USA.
Carlos IribarrenDivision of Research, Kaiser Permanente, Northern California, Oakland, CA, USA.
Neil RischInstitute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA. neil.risch@ucsf.edu.

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Pharmacogenomics of Statin TherapyP50GM115318 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RITCHIE, MARYLYN D · 2015 to 2019
$14.0M
Genome-wide Study of Hearing ImpairmentK01DC013300 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOFFMANN, THOMAS · 2013 to 2017
$1.1M
Sequencing not required: Imputing rare variants into a cohort of 100,000 on agingR21AG046616 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOFFMANN, THOMAS · 2013 to 2014
$433k
NIA NIH HHS R21 AG046616NIA NIH HHS RC2 AG036607NIDCD NIH HHS K01 DC013300NIGMS NIH HHS P50 GM115318
6 · The paper itself

Abstract

A genome-wide association study (GWAS) of 94,674 ancestrally diverse Kaiser Permanente members using 478,866 longitudinal electronic health record (EHR)-derived measurements for untreated serum lipid levels empowered multiple new findings: 121 new SNP associations (46 primary, 15 conditional, and 60 in meta-analysis with Global Lipids Genetic Consortium data); an increase of 33-42% in variance explained with multiple measurements; sex differences in genetic impact (greater impact in females for LDL, HDL, and total cholesterol and the opposite for triglycerides); differences in variance explained among non-Hispanic whites, Latinos, African Americans, and East Asians; genetic dominance and epistatic interaction, with strong evidence for both at the ABO and FUT2 genes for LDL; and tissue-specific enrichment of GWAS-associated SNPs among liver, adipose, and pancreas eQTLs. Using EHR pharmacy data, both LDL and triglyceride genetic risk scores (477 SNPs) were strongly predictive of age at initiation of lipid-lowering treatment. These findings highlight the value of longitudinal EHRs for identifying new genetic features of cholesterol and lipoprotein metabolism with implications for lipid treatment and risk of coronary heart disease.

Indexed as

Electronic Health RecordsPolymorphism, Single NucleotideQuantitative Trait LociAdultAgedCohort StudiesDatabases, GeneticEthnicityFemaleGene FrequencyGenetic LinkageGenome-Wide Association StudyHumansLinkage DisequilibriumLipid MetabolismLipidsLipids

Identifiers

PMID29507422
PMCPMC5942247

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.