ArticlemedRxiv : the preprint server for health sciences2024
Assessing the genetic contribution of cumulative behavioral factors associated with longitudinal type 2 diabetes risk highlights adiposity and the brain-metabolic axis.
Nuno R G Carvalho, Yixuan He, Patrick Smadbeck, Jason Flannick, Josep M Mercader, Miriam Udler, Arjun K Manrai, Jordi Moreno, Chirag J Patel
Open access · greenAbstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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What it found
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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 registryThe trial behind it
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
9 authors at 3 institutions in 1 country.
Nuno R G CarvalhoSchool of Biological Sciences; Georgia Institute of Technology; Atlanta, GA, 30332, USA.
Yixuan HePrograms in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Patrick SmadbeckPrograms in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Jason FlannickPrograms in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Josep M MercaderPrograms in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Miriam UdlerPrograms in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Arjun K ManraiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Jordi MorenoPrograms in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.ORCID 0000-0001-8312-1438 Broad Institute · USHarvard University · USGeorgia Institute of Technology · US
Funding
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8MData science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5MThe confluence of extreme heat cold on the health and longevity of an Aging Population with Alzheimers and related DementiaRF1AG074372 · NIA · HARVARD MEDICAL SCHOOL · PI DOMINICI, FRANCESCA, ESTIRI, HOSSEIN · 2022 to 2023
$2.6MCataloging multi-ancestry 'omic readouts of the environmental and genetic determinants of type 2 diabetesR01DK137993 · NIDDK · HARVARD MEDICAL SCHOOL · PI ARJUN KUMAR MANRAI, Josep Maria Mercader · 2024 to 2026
$2.0MNHGRI NIH HHS T32 HG002295NIA NIH HHS RF1 AG074372NIDDK NIH HHS R01 DK137993NIEHS NIH HHS R01 ES032470
6 · The paper itselfAbstract
While genetic factors, behavior, and environmental exposures form a complex web of interrelated associations in type 2 diabetes (T2D), their interaction is poorly understood. Here, using data from ~500K participants of the UK Biobank, we identify the genetic determinants of a "polyexposure risk score" (PXS) a new risk factor that consists of an accumulation of 25 associated individual-level behaviors and environmental risk factors that predict longitudinal T2D incidence. PXS-T2D had a non-zero heritability (h
Indexed as
behaviorcardiometabolic healthgene-environment correlationindividual-level exposurespolyexposureshared environmenttype 2 diabetes
Identifiers
PMID38352440
PMCPMC10863013
OpenAlexW4391443723
What OpenQuestion holds
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LicenceCC BY-NC-ND
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