Evidence map›Paper›PMID 30305909›Full record

ArticleBMC obesity2018

Complex patterns of direct and indirect association between the transcription Factor-7 like 2 gene, body mass index and type 2 diabetes diagnosis in adulthood in the Hispanic Community Health Study/Study of Latinos.

Lindsay Fernández-Rhodes, Annie Green Howard, Mariaelisa Graff, Carmen R Isasi, Heather M Highland, Kristin L Young, Esteban Parra, Jennifer E Below, Qibin Qi, Robert C Kaplan and 7 more

Abstract read
In one paragraph

Article in BMC obesity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. BMJ open diabetes research & care · 2022
    Article
  2. Article
  3. The Role ofDiabetes · 2021
    Review
  4. PeerJ · 2021
    Article
  5. Article
4 · The record

Corrections and comments

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

17 authors.

Lindsay Fernández-Rhodes *1Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W Franklin St, Building C, Chapel Hill, NC USA.
Annie Green Howard *2Carolina Population Center, University of North Carolina at Chapel Hill, 123 W Franklin St, Building C, Chapel Hill, NC USA.
Mariaelisa Graff1Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W Franklin St, Building C, Chapel Hill, NC USA.
Carmen R Isasi4Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY USA.
Heather M Highland1Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W Franklin St, Building C, Chapel Hill, NC USA.
Kristin L Young1Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W Franklin St, Building C, Chapel Hill, NC USA.
Esteban Parra5Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON Canada.
Jennifer E Below6Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA.
Qibin Qi4Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY USA.
Robert C Kaplan4Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY USA.
Anne E Justice7Biomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA USA.
George Papanicolaou8Epidemiology Branch, National Heart Lung and Blood Institute, Bethesda, MD USA.
Cathy C Laurie9Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA USA.
Struan F A Grant10Divisions of Human Genetics and Endocrinology, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA USA.
Christopher Haiman11Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA USA.
Ruth J F Loos12Charles R. Bronfman Instituted for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA.
Kari E North1Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W Franklin St, Building C, Chapel Hill, NC USA.

Funding

POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Gene-Environment Interactions and Weight GainR01HD057194 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY, NORTH, KARI E. · 2008 to 2019
$5.9M
NHGRI PAGE Coordinating CenterU01HG007419 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI BUYSKE, STEVEN G, MATISE, TARA C. · 2013 to 2017
$3.7M
Diverse ancestry biobank to map biomedical traits and elucidate health disparitieU01HG007417 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2013 to 2017
$3.5M
Search for obesity-associated genes with protective effects on metabolic healthR01DK107786 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2017 to 2020
$2.3M
Leveraging ancestral diversity to map adiposity loci in HispanicsR01DK101855 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAIMAN, CHRISTOPHER ALAN, LOOS, RUTH JF · 2014 to 2016
$2.1M
PAGE III: Population Architecture using Genomics and EpidemiologyR56HG010297 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI BUYSKE, STEVEN G, HAIMAN, CHRISTOPHER ALAN · 2018 to 2018
$1.0M
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHGRI NIH HHS R56 HG010297NHGRI NIH HHS U01 HG007417NHGRI NIH HHS U01 HG007419NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS T32 HL007055NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD007168NIDDK NIH HHS R01 DK101855NIDDK NIH HHS R01 DK107786
6 · The paper itself

Abstract

backgroundGenome-wide association studies have implicated the

methodsUsing 9031 Hispanic/Latino adults (21-76 years) with complete weight history and genetic data from the community-based Hispanic Community Health Study/Study of Latinos (HCHS/SOL, Baseline 2008-2011), we estimated the multivariable association between the additive number of type 2 diabetes increasing-alleles at

resultsWe observed both significant increases in type 2 diabetes prevalence at examination (independent of body mass index) and decreases in mean body mass index and waist circumference across genotypes at rs7903146. We observed a significant multivariable association between the additive number of type 2 diabetes-risk alleles and lower body mass index at examination. In our structured modeling, we observed non-significant inverse direct associations between rs7903146-T and body mass index at ages 21 and 45 years, and a significant positive association between rs7903146-T and type 2 diabetes onset in both middle and late adulthood.

conclusionsHerein, we replicated the protective effect of rs7930146-T on body mass index at multiple time points in the life course, and observed that these effects were not explained by past type 2 diabetes status in our structured modeling. The robust replication of the negative effects of

Indexed as

DiabetesGeneticsHispanic/LatinosObesityTCF7L2

Identifiers

PMID30305909
PMCPMC6167893

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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.