Evidence map›Paper›PMID 29610217›Full record

ArticleGenetics2018

Sequence-Based Analysis of Lipid-Related Metabolites in a Multiethnic Study.

Elena V Feofanova, Bing Yu, Ginger A Metcalf, Xiaoming Liu, Donna Muzny, Jennifer E Below, Lynne E Wagenknecht, Richard A Gibbs, Alanna C Morrison, Eric Boerwinkle

Abstract read
In one paragraph

Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
    Pooled it
  2. Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Advances in integrative African genomics.Trends in genetics : TIG · 2022
    Review
  9. Review
  10. 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

10 authors.

Elena V FeofanovaHuman Genetics Center, University of Texas Health Science Center at Houston, Texas 77030.ORCID 0000-0003-1428-7199
Bing YuHuman Genetics Center, University of Texas Health Science Center at Houston, Texas 77030.
Ginger A MetcalfHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030.
Xiaoming LiuHuman Genetics Center, University of Texas Health Science Center at Houston, Texas 77030.
Donna MuznyHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030.
Jennifer E BelowHuman Genetics Center, University of Texas Health Science Center at Houston, Texas 77030.
Lynne E WagenknechtPublic Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030.
Alanna C MorrisonHuman Genetics Center, University of Texas Health Science Center at Houston, Texas 77030.
Eric BoerwinkleHuman Genetics Center, University of Texas Health Science Center at Houston, Texas 77030 Eric.Boerwinkle@uth.tmc.edu.

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
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
GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U54 HG003273NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS R01 HL086694NHLBI NIH HHS RC2 HL102419
6 · The paper itself

Abstract

Small molecule lipid-related metabolites are important components of fatty acid and steroid metabolism-two important contributors to human health. This study investigated the extent to which rare and common genetic variants spanning the human genome influence the lipid-related metabolome. Sequence data from 1552 European-Americans (EA) and 1872 African-Americans (AA) were analyzed to examine the impact of common and rare variants on the levels of 102 circulating lipid-related metabolites measured by a combination of chromatography and mass spectroscopy. We conducted single variant tests [minor allele frequency (MAF) > 5%, statistical significance

Indexed as

MetabolomePolymorphism, Single NucleotideBlack or African AmericanFemaleHumansLipid MetabolismMaleMiddle AgedQuantitative Trait LociWhite Peoplelipidsmetabolomerare variantswhole genome sequencing

Identifiers

PMID29610217
PMCPMC5972430

What OpenQuestion holds

Textmetadata
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.