Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 53% 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
Fazal-Ur-Rehman MemonRed Crescent Institute of Cardiology, Hyderabad, Pakistan.
Nabi ShahDepartment of Pharmacy, COMSATS University Islamabad, Islamabad, Pakistan.ORCID 0000-0003-2764-3615
Mohammad IshaqKarachi Institute of Heart Diseases, Karachi, Pakistan.
Amit V KheraCenter for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0001-6535-5839
John DaneshBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Cambridge University & Health Data Research UK, Wellcome Sanger Institute, Cambridge, United Kingdom.
Philippe FrossardCenter for Non-Communicable Diseases, Karachi, Sindh, Pakistan.
Danish SaleheenCenter for Non-Communicable Diseases, Karachi, Sindh, Pakistan.ORCID 0000-0001-6193-020X
Novartis (United States) · USCenter for Non-Communicable Diseases · PKKarachi Institute of Heart Diseases · PKColumbia University Irving Medical Center · USPunjab Institute of Cardiology · PKUniversity of Faisalabad · PKCOMSATS University Islamabad · PKMassachusetts General Hospital · USTufts Medical Center · USUniversity of Cambridge · GB
Funding
Comprehensive biomarker study to capitalize on existing GWAS in 10K South AsiansRC2HL101834 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DANESH, JOHN NAVID, RADER, DANIEL JAMES · 2009 to 2010
$8.0M
Deep Phenotyping of Human Knockouts and Population Studies of the APOC3 PathwayR01HL133339 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RADER, DANIEL JAMES, SALEHEEN, DANISH · 2017 to 2020
$2.8M
Deep Phenotyping of ANGPTL3, ANGPTL4 and ANGPTL8 Human Knockouts and Population Based StudiesR01HL145437 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RADER, DANIEL JAMES, SALEHEEN, DANISH · 2019 to 2022
$2.8M
Leveraging consanguinity and homozygosity to identify novel recessive variantsR01HG010689 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALEHEEN, DANISH, TORGERSON, DARA · 2019 to 2022
$2.4M
Markers of the metabolic syndrome linking type 2 diabetes and MI in South AsiaRC1TW008485 · FIC · UNIVERSITY OF PENNSYLVANIA · PI DANESH, JOHN NAVID, RADER, DANIEL JAMES · 2009 to 2010
$1000k
British Heart Foundation CH/12/2/29428British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946FIC NIH HHS RC1 TW008485NHGRI NIH HHS R01 HG010689NHLBI NIH HHS R01 HL133339NHLBI NIH HHS R01 HL145437NHLBI NIH HHS RC2 HL101834
6 · The paper itself
Abstract
Novel drug targets for sustained reduction in body mass index (BMI) are needed to curb the epidemic of obesity, which affects 650 million individuals worldwide and is a causal driver of cardiovascular and metabolic disease and mortality. Previous studies reported that the Arg95Ter nonsense variant of GPR151, an orphan G protein-coupled receptor, is associated with reduced BMI and reduced risk of Type 2 Diabetes (T2D). Here, we further investigate GPR151 with the Pakistan Genome Resource (PGR), which is one of the largest exome biobanks of human homozygous loss-of-function carriers (knockouts) in the world. Among PGR participants, we identify eleven GPR151 putative loss-of-function (plof) variants, three of which are present at homozygosity (Arg95Ter, Tyr99Ter, and Phe175LeufsTer7), with a cumulative allele frequency of 2.2%. We confirm these alleles in vitro as loss-of-function. We test if GPR151 plof is associated with BMI, T2D, or other metabolic traits and find that GPR151 deficiency in complete human knockouts is not associated with clinically significant differences in these traits. Relative to Gpr151+/+ mice, Gpr151-/- animals exhibit no difference in body weight on normal chow and higher body weight on a high-fat diet. Together, our findings indicate that GPR151 antagonism is not a compelling therapeutic approach to treatment of obesity.
Indexed as
Diabetes Mellitus, Type 2AnimalsBody Mass IndexExomeGene FrequencyHumansMiceObesityReceptors, G-Protein-CoupledGPR151 protein, humanReceptors, G-Protein-Coupled
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.
Analyzing human knockouts to validate GPR151 as a therapeutic target for reduction of body mass index. · full record | OpenQuestion