Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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
4 citing papers in PubMed, 5 citations in OpenAlex.
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
12 authors at 8 institutions in 2 countries.
Maria KafyraDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Ioanna Panagiota KalafatiDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Maria DimitriouDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Effimia GrigoriouDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.ORCID 0000-0001-7136-0239
Alexandros KokkinosFirst Department of Propaedeutic and Internal Medicine, Laiko General Hospital, Athens University Medical School, 11527 Athens, Greece.
Loukianos RallidisSecond Department of Cardiology, Medical School, National and Kapodistrian University of Athens, Attikon Hospital, 12462 Athens, Greece.ORCID 0000-0002-7349-0309
Genovefa KolovouCardiometabolic Center, Metropolitan Hospital, 18547 Piraeus, Greece.
Georgios TrovasLaboratory for the Research of Musculoskeletal System "Th. Garofalidis", School of Medicine, National and Kapodistrian University of Athens, KAT General Hospital, Athinas 10th Str., 14561 Athens, Greece.
Eirini MarouliWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.ORCID 0000-0001-6179-1609
Panos DeloukasWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.
Panagiotis MoulosInstitute for Fundamental Biomedical Research, Biomedical Sciences Research Center 'Alexander Fleming', 16672 Vari, Greece.ORCID 0000-0002-4199-0333
George V DedoussisDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Harokopio University of Athens · GRNational and Kapodistrian University of Athens · GRQueen Mary University of London · GBAlexander Fleming Biomedical Sciences Research Center · GRLaiko General Hospital of Athens · GRMetropolitan Hospital · GRTechnological Educational Institute of Peloponnese · GRUniversity of Thessaly · GR
Funding
EU FP7 grant ECOGENE (#205419European Union European Regional Development Fund grant to the Centre of Excellence in Genomics, Estonian Biocentre and University of TartuGeneral Secretary of Research and Technology (PENED 03EΔ474)Greek Secretariat for Research and Technology "Obesity and metabolic syndrome: dietary intervention with Greek raisins in NAFLD/NASH. Investigation of molecular mechanisms", approved by the Greek Secretariat for Research and Technology (Cooperation 890/2009)Hellenic Society for the Study of Bone Metabolism Hellenic Society for the Study of Bone Metabolism research grantIKY/SIEMENS Research Project for Excellence IKY/SIEMENSTargeted Financing from the Estonian Ministry of Education and Research SF0180142s08
6 · The paper itself
Abstract
Quantifying the role of genetics via construction of polygenic risk scores (PRSs) is deemed a resourceful tool to enable and promote effective obesity prevention strategies. The present paper proposes a novel methodology for PRS extraction and presents the first PRS for body mass index (BMI) in a Greek population. A novel pipeline for PRS derivation was used to analyze genetic data from a unified database of three cohorts of Greek adults. The pipeline spans various steps of the process, from iterative dataset splitting to training and test partitions, calculation of summary statistics and PRS extraction, up to PRS aggregation and stabilization, achieving higher evaluation metrics. Using data from 2185 participants, implementation of the pipeline enabled consecutive repetitions in splitting training and testing samples and resulted in a 343-single nucleotide polymorphism PRS yielding an R
Indexed as
bioinformaticsbody mass index (BMI)Greek adultspolygenic risk score (PRS)
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 Socratic graph.
Robust Bioinformatics Approaches Result in the First Polygenic Risk Score for BMI in Greek Adults. · full record | Socratic