Evidence map›Paper›PMID 35016652›Full record

ArticleBMC medicine2022

Interaction of obesity polygenic score with lifestyle risk factors in an electronic health record biobank.

Hassan S Dashti, Nicole Miranda, Brian E Cade, Tianyi Huang, Susan Redline, Elizabeth W Karlson, Richa Saxena

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 5 institutions in 1 country.

Hassan S DashtiCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. hassan.dashti@mgh.harvard.edu.
Nicole MirandaCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Brian E CadeBroad Institute, Cambridge, MA, USA.
Tianyi HuangDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
Susan RedlineDivision of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Elizabeth W KarlsonMass General Brigham Personalized Medicine, Mass General Brigham HealthCare, Boston, MA, USA.
Richa SaxenaCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Circadian (United States) · USHarvard University · USBrigham and Women's Hospital · USBroad Institute · USMass General Brigham · US

Funding

The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
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
Phenotypic and Molecular Signatures for Sleep Apnea and Related MorbiditiesR35HL135818 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2017 to 2023
$7.2M
Leveraging Family Data to Identify Genetic Variants for Sleep ApneaR01HL113338 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LIN, XIHONG, REDLINE, SUSAN S. · 2012 to 2016
$4.4M
Genetics of chronotype and impact on metabolic diseaseR01DK107859 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Richa Saxena · 2016 to 2026
$4.0M
Genetic Epidemiology of Sleep Apnea and Comorbidities in BiobanksR01HL153805 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CADE, BRIAN EDMAND · 2021 to 2025
$3.7M
Dissecting Causal Role of Insomnia in Cardiovascular DiseaseR01HL146751 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MELKANI, GIRISH C., SAXENA, RICHA · 2020 to 2023
$3.6M
Impact of Malatonin, Food Timing and Receptor Variant on Type 2 Diabetes RiskR01DK105072 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2016 to 2020
$3.2M
Elucidating Inflammatory and Metabolic Pathways in Obstructive Sleep Apnea DevelopmentK01HL143034 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HUANG, TIANYI · 2018 to 2022
$885k
Whole Genomic Characterization of Sleep Apnea Traits and Comorbid DisordersK01HL135405 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CADE, BRIAN EDMAND · 2017 to 2020
$695k
The impact of overnight nutrition support on sleep and circadian rhythm disruption in the ICUK99HL153795 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI DASHTI, HASSAN S. · 2021 to 2022
$330k
NHGRI NIH HHS U01HG008685NHLBI NIH HHS K01 HL135405NHLBI NIH HHS K01 HL143034NHLBI NIH HHS K01HL143034NHLBI NIH HHS K99HL153795NHLBI NIH HHS R01HL113338NHLBI NIH HHS R01 HL146751NHLBI NIH HHS R01 HL153805NHLBI NIH HHS R03 HL154284NHLBI NIH HHS R35 HL135818NHLBI NIH HHS R35HL135818NIDDK NIH HHS P30DK046200NIDDK NIH HHS R01DK105072NIDDK NIH HHS R01DK107859NIH Office of the Director OT2OD026553
6 · The paper itself

Abstract

backgroundGenetic and lifestyle factors have considerable effects on obesity and related diseases, yet their effects in a clinical cohort are unknown. This study in a patient biobank examined associations of a BMI polygenic risk score (PRS), and its interactions with lifestyle risk factors, with clinically measured BMI and clinical phenotypes.

methodsThe Mass General Brigham (MGB) Biobank is a hospital-based cohort with electronic health record, genetic, and lifestyle data. A PRS for obesity was generated using 97 genetic variants for BMI. An obesity lifestyle risk index using survey responses to obesogenic lifestyle risk factors (alcohol, education, exercise, sleep, smoking, and shift work) was used to dichotomize the cohort into high and low obesogenic index based on the population median. Height and weight were measured at a clinical visit. Multivariable linear cross-sectional associations of the PRS with BMI and interactions with the obesity lifestyle risk index were conducted. In phenome-wide association analyses (PheWAS), similar logistic models were conducted for 675 disease outcomes derived from billing codes.

resultsThirty-three thousand five hundred eleven patients were analyzed (53.1% female; age 60.0 years; BMI 28.3 kg/m

conclusionsIn this hospital-based clinical biobank, obesity risk conferred by common genetic variants was associated with elevated BMI and this risk was attenuated by a healthier patient lifestyle. Continued consideration of the role of lifestyle in the context of genetic predisposition in healthcare settings is necessary to quantify the extent to which modifiable lifestyle risk factors may moderate genetic predisposition and inform clinical action to achieve personalized medicine.

Indexed as

Biological Specimen BanksElectronic Health RecordsBody Mass IndexCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHealthy LifestyleHumansMaleMiddle AgedObesityRisk FactorsBMIElectronic health recordsGene-lifestyle interactionGenetic riskLifestyleObesityObesogenic behaviorsPhenome-wide association study

Identifiers

PMID35016652
PMCPMC8753909
OpenAlexW4205938721

What OpenQuestion holds

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LicenceCC BY
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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.