Evidence map›Paper›PMID 19965785›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2010

Identification of two common variants contributing to serum apolipoprotein B levels in Mexicans.

Daphna Weissglas-Volkov, Christopher L Plaisier, Adriana Huertas-Vazquez, Ivette Cruz-Bautista, Daniela Riaño-Barros, Miguel Herrera-Hernandez, Laura Riba, Rita M Cantor, Janet S Sinsheimer, Carlos A Aguilar-Salinas and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Role of non-coding variants in cardiovascular disease.Journal of cellular and molecular medicine · 2023
    Review
  2. Article
  3. Review
  4. 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
  5. Review
  6. Article
  7. Article
  8. The genetics of familial combined hyperlipidaemia.Nature reviews. Endocrinology · 2012
    Review
  9. Article
  10. Evidence of how rs7575840 influences apolipoprotein B-containing lipid particles.Arteriosclerosis, thrombosis, and vascular biology · 2011
    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

12 authors at 1 institution in 1 country.

Daphna Weissglas-VolkovDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, Calif 90095-7088, USA.
Christopher L Plaisier
Adriana Huertas-Vazquez
Ivette Cruz-Bautista
Daniela Riaño-Barros
Miguel Herrera-Hernandez
Laura Riba
Rita M Cantor
Janet S Sinsheimer
Carlos A Aguilar-Salinas
Teresa Tusie-Luna
Päivi Pajukanta
Cedars-Sinai Medical Center · US

Funding

Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 1985 to 2019
$50.2M
Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Genomics of dyslipidemia in MexicansR01HL095056 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAJUKANTA, PAIVI · 2009 to 2018
$5.9M
Genetic susceptibility to Common Lipid Disorders in MexicoR01HL082762 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAJUKANTA, PAIVI · 2006 to 2009
$1.4M
NHGRI NIH HHS T32 HG002536NHGRI NIH HHS T32HG02536NHLBI NIH HHS HL-082762NHLBI NIH HHS HL-095056NHLBI NIH HHS HL-28481NHLBI NIH HHS P01 HL028481NHLBI NIH HHS R01 HL082762NHLBI NIH HHS R01 HL095056
6 · The paper itself

Abstract

background and purposeAlthough the Mexican population has a high predisposition to dyslipidemias and premature coronary artery disease, this population is underinvestigated for the genetic factors conferring the high susceptibility. This study attempted to determine these genetic factors. METHODS AND

resultsFirst, we investigated apolipoprotein B (apoB) levels in Mexican extended families with familial combined hyperlipidemia using a two-step testing strategy. In the screening step, we screened 5721 single-nucleotide polymorphisms (SNPs) for linkage signals with apoB. In the test step, we analyzed the 130 SNPs residing in regions of suggestive linkage signals for association with apoB. We identified significant associations with two SNPs (ie, rs1424032 [P=6.07x10(-6)] and rs1349411 [P=2.72x10(-4)]) that surpassed the significance level for the number of tests performed in the test step (P<3.84x10(-4)). Second, these SNPs were tested for replication in Mexican hyperlipidemic case-control samples. The same risk alleles as in the families with familial combined hyperlipidemia were significantly associated (P<0.05) with apoB in the case-control samples. The rs1349411 resides near the apoB messenger RNA editing enzyme (APOBEC1) involved in the processing of APOB messenger RNA in the small intestine. The rs1424032 resides in a highly conserved noncoding region predicted to function as a regulatory element.

conclusionsWe identified two novel variants, rs1349411 and rs1424032, for serum apoB levels in Mexicans.

Indexed as

Polymorphism, Single NucleotideAdultAmerican Indian or Alaska NativeAPOBEC-1 DeaminaseApolipoproteins BCase-Control StudiesCytidine DeaminaseFemaleGene FrequencyGenetic LinkageGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansHyperlipidemia, Familial CombinedHyperlipidemiasMaleAPOBEC-1 DeaminaseAPOBEC1 protein, humanApolipoproteins BCytidine DeaminaseRNA, Messenger

Identifiers

PMID19965785
PMCPMC2809779
OpenAlexW2109175259

What OpenQuestion holds

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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.