In one paragraphArticle in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
12 authors at 7 institutions in 2 countries.
Xiaofeng ZhuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0003-0037-411X Yihe YangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0001-6563-3579 Noah Lorincz-ComiDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-0517-2499 Gen LiDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Amy BentleyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-0827-9101 Paul S de VriesHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Michael BrownHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Alanna C MorrisonHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0001-6381-4296 Charles RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-5759-053X W James GaudermanBiostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
D C RaoDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
Hugues AschardInstitut Pasteur, Université Paris Cité, Department of Computational Biology, F-75015 Paris, France.ORCID 0000-0002-7554-6783 Case Western Reserve University · USNational Institutes of Health · USThe University of Texas Health Science Center at Houston · USCenter for Human Genetics · USInstitut Pasteur · FRUniversity of Southern California · USWashington University in St. Louis · US
Funding
A Multi-Ancestry Study of Gene-Lifestyle Interactions and Multi-Omics in Cardiometabolic TraitsR01HL156991 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2021 to 2024
$8.8MStatistical Analysis of Large Genomic Data SetsR01HG011052 · NHGRI · CASE WESTERN RESERVE UNIVERSITY · PI XIAOFENG ZHU · 2020 to 2026
$3.3MGenetic epidemiology of complex diseasesZ01HG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2008 to 2008
$1.7MIntramural NIH HHS Z01 HG200362NHGRI NIH HHS R01 HG011052NHLBI NIH HHS R01 HL156991
6 · The paper itselfAbstract
There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. To address this issue, the CHARGE Gene-Lifestyle Interactions Working Group has been spearheading efforts to investigate
Identifiers
PMID37886448
PMCPMC10602131
OpenAlexW4387327762
What OpenQuestion holds
Textmetadata
LicenceCC BY
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