Synthesis in International journal of obesity (2005), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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
7 citing papers in PubMed, 10 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
48 authors at 20 institutions in 6 countries.
C E SmithNutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
J Ngwa
T Tanaka
Q Qi
M K Wojczynski
R N Lemaitre
J S Anderson
A Manichaikul
V Mikkilä
F J A van Rooij
Z Ye
S Bandinelli
A C Frazier-Wood
D K Houston
F Hu
C Langenberg
N M McKeown
D Mozaffarian
K E North
J Viikari
M C Zillikens
L Djoussé
A Hofman
M Kähönen
E K Kabagambe
R J F Loos
G B Saylor
N G Forouhi
Y Liu
K J Mukamal
Y-D I Chen
M Y Tsai
A G Uitterlinden
O Raitakari
C M van Duijn
D K Arnett
I B Borecki
L A Cupples
L Ferrucci
S B Kritchevsky
T Lehtimäki
Lu Qi
J I Rotter
D S Siscovick
N J Wareham
J C M Witteman
J M Ordovás
J A Nettleton
Wake Forest University · USErasmus MC · NLHarvard University · USMRC Epidemiology Unit · GBUniversity of Alabama at Birmingham · USAddenbrooke's Hospital · GBBoston University · USCedars-Sinai Medical Center · USJean Mayer Human Nutrition Research Center on Aging · USNational Institute on Aging · USNetherlands Consortium for Healthy Ageing · NLTampere University Hospital · FIWashington University in St. Louis · USAzienda Sanitaria di Firenze · ITBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USSeattle University · USThe University of Texas Health Science Center at Houston · USTufts University · USTurku University Hospital · FI
Funding
Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Multi-Ethnic Study of Atherosclerosis (MESA) StudyR01HL071205 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI ROTTER, JEROME I · 2003 to 2007
$10.4M
STATISTICSP50HL105185 · NHLBI · UNIVERSITY OF MASSACHUSETTS LOWELL · PI TUCKER, KATHERINE L · 2010 to 2015
objectiveLow-density lipoprotein-related receptor protein 1 (LRP1) is a multi-functional endocytic receptor and signaling molecule that is expressed in adipose and the hypothalamus. Evidence for a role of LRP1 in adiposity is accumulating from animal and in vitro models, but data from human studies are limited. The study objectives were to evaluate (i) relationships between LRP1 genotype and anthropometric traits, and (ii) whether these relationships were modified by dietary fatty acids. DESIGN AND
methodsWe conducted race/ethnic-specific meta-analyses using data from 14 studies of US and European whites and 4 of African Americans to evaluate associations of dietary fatty acids and LRP1 genotypes with body mass index (BMI), waist circumference and hip circumference, as well as interactions between dietary fatty acids and LRP1 genotypes. Seven single-nucleotide polymorphisms (SNPs) of LRP1 were evaluated in whites (N up to 42 000) and twelve SNPs in African Americans (N up to 5800).
resultsAfter adjustment for age, sex and population substructure if relevant, for each one unit greater intake of percentage of energy from saturated fat (SFA), BMI was 0.104 kg m(-2) greater, waist was 0.305 cm larger and hip was 0.168 cm larger (all P<0.0001). Other fatty acids were not associated with outcomes. The association of SFA with outcomes varied by genotype at rs2306692 (genotyped in four studies of whites), where the magnitude of the association of SFA intake with each outcome was greater per additional copy of the T allele: 0.107 kg m(-2) greater for BMI (interaction P=0.0001), 0.267 cm for waist (interaction P=0.001) and 0.21 cm for hip (interaction P=0.001). No other significant interactions were observed.
conclusionDietary SFA and LRP1 genotype may interactively influence anthropometric traits. Further exploration of this, and other diet x genotype interactions, may improve understanding of interindividual variability in the relationships of dietary factors with anthropometric traits.
Indexed as
Black PeopleLow Density Lipoprotein Receptor-Related Protein-1Polymorphism, Single NucleotideWhite PeopleAdipose TissueAdultAgedAged, 80 and overBlack or African AmericanBody Mass IndexEuropeFatty AcidsFemaleGene-Environment InteractionGene FrequencyGenetic Predisposition to DiseaseFatty AcidsLow Density Lipoprotein Receptor-Related Protein-1LRP1 protein, human
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.
Lipoprotein receptor-related protein 1 variants and dietary fatty acids: meta-analysis of European origin and African American studies. · full record | OpenQuestion