Evidence map›Paper›PMID 23477746›Full record

SynthesisAtherosclerosis2013

The ERLIN1-CHUK-CWF19L1 gene cluster influences liver fat deposition and hepatic inflammation in the NHLBI Family Heart Study.

Mary F Feitosa, Mary K Wojczynski, Kari E North, Qunyuan Zhang, Michael A Province, Jeffrey J Carr, Ingrid B Borecki

Abstract readMeta-Analysis
In one paragraph

Synthesis in Atherosclerosis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. A Long Non-coding RNA,Frontiers in genetics · 2020
    Article
  16. BioMed research international · 2020
    Article
  17. Article
  18. Article
  19. Review
  20. Review
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

7 authors at 3 institutions in 1 country.

Mary F FeitosaDepartment of Genetics, Washington University School of Medicine, St Louis, MO 63108-2212, USA. mfeitosa@wustl.edu
Mary K Wojczynski
Kari E North
Qunyuan Zhang
Michael A Province
Jeffrey J Carr
Ingrid B Borecki
University of North Carolina at Chapel Hill · USWake Forest University · USWashington University in St. Louis · US

Funding

FHS-SCAN Genome Wide Association Scan for Atherosclerosis Pathway GenesR01HL087700 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2006 to 2008
$5.4M
Genetic Architecture of Adiposity in Multiple Large CohortsR01DK089256 · NIDDK · WASHINGTON UNIVERSITY · PI BARANSKI, THOMAS JOHN, LIU, CHING-TI · 2010 to 2016
$4.6M
GENOMIC SCAN FOR ATHEROSCLEROSIS PATHWAY GENES IN AFRICAN-AMERICANS FROM FHS-SCANR01HL088215 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2008 to 2011
$3.0M
Genetic Epidemiology of Metabolic Diseases of ObesityR01DK075681 · NIDDK · WASHINGTON UNIVERSITY · PI BORECKI, INGRID BERNADETTE · 2008 to 2011
$2.1M
NHLBI NIH HHS R01 HL087700NHLBI NIH HHS R01-HL-087700NHLBI NIH HHS R01 HL088215NHLBI NIH HHS R01-HL-088215NIDDK NIH HHS R01 DK075681NIDDK NIH HHS R01-DK-075681NIDDK NIH HHS R01 DK089256NIDDK NIH HHS R01-DK-8925601
6 · The paper itself

Abstract

objectivesNonalcoholic fatty liver disease (NAFLD) ranges from simple steatosis to hepatic inflammation to cirrhosis. We sought to identify common genetic variants contributing to NAFLD, using CT measured fatty liver (FL), and alanine aminotransferase levels (ALT), as a biochemical marker of hepatic inflammation.

methodsWe employed a correlated meta-analysis (CMA) to test whether combining FL and ALT genomewide association (GWA) results, using ∼2.5 million imputed SNPs, could enhance ability to detect variants influencing both traits.

resultsVariants of the ERLIN1-CHUK-CWF19L1 gene cluster were associated with concomitant variation of FL and ALT. Nine variants (rs2862954, rs1408579, rs10883451, rs11597086, rs11591741, rs17729876, rs17668255, rs17668357, rs12784396) displayed genomewide significant associations at loci concomitantly influencing FL and ALT (2.47 × 10(-9) ≤ CMA-p ≤ 4.29 × 10(-10)) as compared with the suggestive significance of marginal tests (4.11 × 10(-5) ≤ GWA-p ≤ 2.34 × 10(-6)). For example, the missense variant in ERLIN1-rs2862954 was genomewide significant (CMA-p = 4.88 × 10(-10)) for the combination of FL and ALT, while the respective univariate associations were suggestive (FL:p = 5.74 × 10(-6), ALT:p = 3.71 × 10(-6)). Further we investigated whether the concomitant associations were driven mainly by ALT levels. When we adjusted FL by ALT, the correlated associations diminished but did not vanish (CMA-p ≤ 3.3 × 10(-7)). Our findings suggest ERLIN1-CHUK-CWF19L1 variants are associated with early stage of FL accumulation (measured by CT) to hepatic inflammation (ALT levels), and the association enhances when accounting for the correlations between their scans.

conclusionsCMA approach enhanced the ability to identify novel variants of the ERLIN1-CHUK-CWF19L1 influencing both simple steatosis and hepatic steatosis with inflammation, which suggest that this gene cluster may regulate the susceptibility of NAFLD in a wide spectrum of disease.

Indexed as

AdultAgedAlanine TransaminaseFatty LiverFemaleGenome-Wide Association StudyGenotypeHepatitisHumansI-kappa B KinaseMaleMiddle AgedMultigene FamilyNerve Tissue ProteinsNon-alcoholic Fatty Liver DiseasePhenotypeAlanine TransaminaseCHUK protein, humanERLIN1 protein, humanI-kappa B KinaseNerve Tissue Proteins

Identifiers

PMID23477746
PMCPMC3640729
OpenAlexW2002404972

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.