Evidence map›Paper›PMID 35810165›Full record

SynthesisNature communications2022

Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers.

Kenneth E Westerman, Timothy D Majarian, Franco Giulianini, Dong-Keun Jang, Jenkai Miao, Jose C Florez, Han Chen, Daniel I Chasman, Miriam S Udler, Alisa K Manning and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–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

46 citing papers in PubMed.

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  15. Genome-Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

11 authors.

Kenneth E WestermanClinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA. kewesterman@mgh.harvard.edu.ORCID 0000-0001-7619-1868
Timothy D MajarianPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Franco GiulianiniDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Dong-Keun JangPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Jenkai MiaoDivision of Endocrinology, Boston Children's Hospital, Boston, MA, USA.
Jose C FlorezPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0002-1730-9325
Han ChenHuman Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Daniel I ChasmanDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0003-3357-0862
Miriam S UdlerPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID 0000-0003-3824-9162
Alisa K ManningClinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA.
Joanne B ColePrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA. jcole@broadinstitute.org.ORCID 0000-0001-9520-2788

Funding

Women's Health Study: Continued Follow-upR01CA047988 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 1991 to 2014
$28.2M
The next iteration of the AMP-T2D Knowledge PortalUM1DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI BOEHNKE, MICHAEL L, BURTT, NOEL P · 2020 to 2025
$18.5M
TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
Women's Health Study: Continued Follow-UpR01HL080467 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E. · 2005 to 2010
$4.5M
The Women's Health Study: Infrastructure Support for Continued Cohort Follow-upUM1CA182913 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 2014 to 2018
$4.0M
Methods and Software for Large-Scale Gene-Environment Interaction StudiesR01HL145025 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CHEN, HAN, MANNING, ALISA KNODLE · 2019 to 2023
$4.0M
The Association to Function Knowledge Portal: a genomic data resource for translating GWAS associations to biological effectsU24HG011453 · NHGRI · BROAD INSTITUTE, INC. · PI BURTT, NOEL P, FLANNICK, JASON · 2021 to 2025
$3.4M
TRIAL OF VITAMIN E, BETA-CAROTENE &ASPRIN IN WOMENR01HL043851 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E · 1991 to 2000
$1.6M
Clinical Implications of Genetically Defined Diabetes Subtypes and Application to Electronic Health Medical Record SystemsK23DK114551 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UDLER, MIRIAM SARGON · 2017 to 2021
$1000k
Mentoring Investigators on the Clinical Translation of Cardiometabolic Genetic DiscoveriesK24HL157960 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2021 to 2025
$626k
Genetically harmonized dietary intake and causal relationships with diabetes-related outcomesK99DK127196 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI COLE, JOANNE BURNETTE · 2021 to 2022
$178k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCI NIH HHS R01 CA047988NCI NIH HHS UM1 CA182913NHGRI NIH HHS U24 HG011453NHLBI NIH HHS K24 HL157960NHLBI NIH HHS R01 HL043851NHLBI NIH HHS R01 HL080467NHLBI NIH HHS R01 HL145025NIDDK NIH HHS K23 DK114551NIDDK NIH HHS K99 DK127196NIDDK NIH HHS T32 DK007028NIDDK NIH HHS UM1 DK105554
6 · The paper itself

Abstract

Gene-environment interactions represent the modification of genetic effects by environmental exposures and are critical for understanding disease and informing personalized medicine. These often induce differential phenotypic variance across genotypes; these variance-quantitative trait loci can be prioritized in a two-stage interaction detection strategy to greatly reduce the computational and statistical burden and enable testing of a broader range of exposures. We perform genome-wide variance-quantitative trait locus analysis for 20 serum cardiometabolic biomarkers by multi-ancestry meta-analysis of 350,016 unrelated participants in the UK Biobank, identifying 182 independent locus-biomarker pairs (p < 4.5×10

Indexed as

Cardiovascular DiseasesQuantitative Trait LociBiomarkersFemaleGene-Environment InteractionGenome-Wide Association StudyGenotypeHumansPhenotypePolymorphism, Single NucleotideBiomarkers

Identifiers

PMID35810165
PMCPMC9271055

What OpenQuestion holds

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Registered trials

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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.