Evidence map›Paper›PMID 19888660›Full record

ArticleEuropean journal of epidemiology2009

Genetic determinants of serum lipid levels in Chinese subjects: a population-based study in Shanghai, China.

Gabriella Andreotti, Idan Menashe, Jinbo Chen, Shih-Chen Chang, Asif Rashid, Yu-Tang Gao, Tian-Quan Han, Lori C Sakoda, Stephen Chanock, Philip S Rosenberg and 1 more

Open access · greenAbstract read
In one paragraph

Article in European journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Evidence for Genotype-Specific Optimal Blood Lead Levels for Cancer Risk:International journal of molecular sciences · 2026
    Article
  4. Article
  5. Association ofSaudi journal of biological sciences · 2023
    Article
  6. Article
  7. Review
  8. Absence of Bsep/Abcb11 attenuates MCD diet-induced hepatic steatosis but aggravates inflammation in mice.Liver international : official journal of the International Association for the Study of the Liver · 2020
    Article
  9. Article
  10. Article
  11. Association between polymorphisms in the APOB gene and hyperlipidemia in the Chinese Yugur population.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2017
    Article
  12. Review
  13. Creation and Validation of an EMR-based Algorithm for Identifying Major Adverse Cardiac Events while on Statins.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. New studies, technology, and the progress of epidemiology.European journal of epidemiology · 2010
    Article
  20. 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

11 authors at 9 institutions in 2 countries.

Gabriella AndreottiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, 6120 Executive Blvd., EPS 8011, MSC 7240, Bethesda, MD, 20892, USA. andreotg@mail.nih.gov
Idan Menashe
Jinbo Chen
Shih-Chen Chang
Asif Rashid
Yu-Tang Gao
Tian-Quan Han
Lori C Sakoda
Stephen Chanock
Philip S Rosenberg
Ann W Hsing
National Institutes of Health · USUnited States Department of Health and Human Services · USAstraZeneca (United States) · USNational Cancer Institute · USRuijin Hospital · CNShanghai Cancer Institute · CNThe University of Texas MD Anderson Cancer Center · USUniversity of Pennsylvania · USUniversity of Washington · US

Funding

Studies of Rare CancersZIACP010158 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MCGLYNN, KATHERINE · 2009 to 2025
$19.1M
Intramural NIH HHS ZIA CP010158
6 · The paper itself

Abstract

We examined the associations between 21 single nucleotide polymorphisms (SNPs) of eight lipid metabolism genes and lipid levels in a Chinese population. This study was conducted as part of a population-based study in China with 799 randomly selected healthy residents who provided fasting blood and an in-person interview. Associations between variants and mean lipid levels were examined using a test of trend and least squares mean test in a general linear model. Four SNPs were associated with lipid levels: LDLR rs1003723 was associated with total cholesterol (P-trend = 0.002) and LDL (P-trend = 0.01), LDLR rs6413503 was associated with total cholesterol (P-trend = 0.05), APOB rs1367117 was associated with apoB (P-trend = 0.02), and ABCB11 rs49550 was associated with total cholesterol (P-trend = 0.01), triglycerides (P-trend = 0.01), and apoA (P-trend = 0.01). We found statistically significant effects on lipid levels for LDLR rs6413503 among those with high dairy intake, LPL rs263 among those with high allium vegetable intake, and APOE rs440446 among those with high red meat intake. We identified new associations between SNPs and lipid levels in Chinese previously found in Caucasians. These findings provide insight into the role of lipid metabolism genes, as well as the mechanisms by which these genes may be linked with disease.

Indexed as

Population SurveillanceAdultAgedApolipoproteins BATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily B, Member 11ChinaFemaleHumansHyperlipidemiasLDL-Receptor Related ProteinsLipidsMaleMiddle AgedPolymorphism, Single NucleotideABCB11 protein, humanApolipoproteins BATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily B, Member 11LDL-Receptor Related ProteinsLipids

Identifiers

PMID19888660
PMCPMC2885778
OpenAlexW2167377151

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.