Evidence map›Paper›PMID 33407432›Full record

ArticleBMC medical genomics2021

Association between triglycerides, known risk SNVs and conserved rare variation in SLC25A40 in a multi-ancestry cohort.

Elisabeth A Rosenthal, David R Crosslin, Adam S Gordon, David S Carrell, Ian B Stanaway, Eric B Larson, Jane Grafton, Wei-Qi Wei, Joshua C Denny, Qi-Ping Feng and 11 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

21 authors at 9 institutions in 1 country.

Elisabeth A RosenthalDivision of Medical Genetics, School of Medicine, University of Washington Medical Center, 1705 NE Pacific St, Box 357720, Seattle, WA, 98195, USA. erosen@uw.edu.ORCID 0000-0001-6042-4487
David R CrosslinDepartment of Biomedical Informatics Medical Education, School of Medicine, University of Washington, Seattle, WA, USA.
Adam S GordonCenter for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
David S CarrellKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Ian B StanawayDepartment of Biomedical Informatics Medical Education, School of Medicine, University of Washington, Seattle, WA, USA.
Eric B LarsonKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Jane GraftonKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Qi-Ping FengDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Amy S ShahDivision of Endocrinology, Department of Pediatrics, Cincinnati Children's Hospital and the University of Cincinnati, Cincinnati, OH, USA.
Amy C SturmGenomic Medicine Institute, Geisinger, Danville, PA, 17822, USA.
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
Jennifer A PachecoCenter for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Hakon HakonarsonCenter for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Laura J Rasmussen-TorvikDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
John J ConnollyCenter for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Xiao FanDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Maya SafarovaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Gail P JarvikDivision of Medical Genetics, School of Medicine, University of Washington Medical Center, 1705 NE Pacific St, Box 357720, Seattle, WA, 98195, USA.
Kaiser Permanente Washington Health Research Institute · USMayo Clinic · USNorthwestern University · USUniversity of Washington · USVanderbilt University Medical Center · USChildren's Hospital of Philadelphia · USCincinnati Children's Hospital Medical Center · USUniversity of Pennsylvania · USUniversity of Washington Medical Center · US

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
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
DNA Sequencing Support for the eMERGE NetworkU01HG008664 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2015 to 2019
$10.9M
Global Alliance for Genomic Health (GA4GH)U01HG008676 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LENNON, NIALL JOHN, REHM, HEIDI L · 2015 to 2019
$8.6M
Northwestern Genomic Risk Assessment and Management ProgramU01HG011169 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI REX L CHISHOLM, Elizabeth M McNally · 2020 to 2026
$7.4M
The Electronic Medical Records and Genomics (eMERGE) Network Phase III Coordinating Center (U01)U01HG008701 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PETERSON, JOSEPH F. · 2015 to 2019
$7.1M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
The Future of Genomics Medicine in Patient Care: Contributions from CHOPU01HG008684 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2015 to 2019
$5.0M
NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01HG004424NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01HG004438NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008664NHGRI NIH HHS U01 HG008666NHGRI NIH HHS U01 HG008672NHGRI NIH HHS U01 HG008673NHGRI NIH HHS U01 HG008676NHGRI NIH HHS U01 HG008679NHGRI NIH HHS U01 HG008680NHGRI NIH HHS U01 HG008684NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01 HG008701NHGRI NIH HHS U01HG6379NHGRI NIH HHS U01HG8657NHGRI NIH HHS U01HG8664NHGRI NIH HHS U01HG8666NHGRI NIH HHS U01HG8672NHGRI NIH HHS U01HG8673NHGRI NIH HHS U01HG8676NHGRI NIH HHS U01HG8679NHGRI NIH HHS U01HG8680NHGRI NIH HHS U01HG8684NHGRI NIH HHS U01HG8685NHGRI NIH HHS U01HG8701
6 · The paper itself

Abstract

backgroundElevated triglycerides (TG) are associated with, and may be causal for, cardiovascular disease (CVD), and co-morbidities such as type II diabetes and metabolic syndrome. Pathogenic variants in APOA5 and APOC3 as well as risk SNVs in other genes [APOE (rs429358, rs7412), APOA1/C3/A4/A5 gene cluster (rs964184), INSR (rs7248104), CETP (rs7205804), GCKR (rs1260326)] have been shown to affect TG levels. Knowledge of genetic causes for elevated TG may lead to early intervention and targeted treatment for CVD. We previously identified linkage and association of a rare, highly conserved missense variant in SLC25A40, rs762174003, with hypertriglyceridemia (HTG) in a single large family, and replicated this association with rare, highly conserved missense variants in a European American and African American sample.

methodsHere, we analyzed a longitudinal mixed-ancestry cohort (European, African and Asian ancestry, N = 8966) from the Electronic Medical Record and Genomics (eMERGE) Network. We tested associations between median TG and the genes of interest, using linear regression, adjusting for sex, median age, median BMI, and the first two principal components of ancestry.

resultsWe replicated the association between TG and APOC3, APOA5, and risk variation at APOE, APOA1/C3/A4/A5 gene cluster, and GCKR. We failed to replicate the association between rare, highly conserved variation at SLC25A40 and TG, as well as for risk variation at INSR and CETP.

conclusionsAnalysis using data from electronic health records presents challenges that need to be overcome. Although large amounts of genotype data is becoming increasingly accessible, usable phenotype data can be challenging to obtain. We were able to replicate known, strong associations, but were unable to replicate moderate associations due to the limited sample size and missing drug information.

Indexed as

Polymorphism, Single NucleotideTriglyceridesAdultAgedCohort StudiesFemaleGenetic Predisposition to DiseaseHumansHypertriglyceridemiaMaleMiddle AgedRisk FactorsTriglyceridesCardiovascular diseaseElectronic health recordsGeneticsTriglycerides

Identifiers

PMID33407432
PMCPMC7789246
OpenAlexW3119543092

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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.