Evidence map›Paper›PMID 25626708›Full record

ArticleEuropean journal of human genetics : EJHG2015

Resequencing of LPL in African Blacks and associations with lipoprotein-lipid levels.

Dilek Pirim, Xingbin Wang, Zaheda H Radwan, Vipavee Niemsiri, Clareann H Bunker, M Michael Barmada, M Ilyas Kamboh, F Yesim Demirci

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2015. 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
0.5field-weighted citation impact, top 27% 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, 15 citations in OpenAlex.

  1. Article
  2. Association of Lipoprotein Lipase (International journal of molecular sciences · 2025
    Article
  3. Bayesian LASSO for population stratification correction in rare haplotype association studies.Statistical applications in genetics and molecular biology · 2024
    Article
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Article
  10. 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

8 authors at 1 institution in 1 country.

Dilek PirimDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Xingbin Wang1] Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA [2] Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Zaheda H RadwanDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Vipavee NiemsiriDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Clareann H BunkerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
M Michael BarmadaDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
M Ilyas KambohDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
F Yesim DemirciDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · US

Funding

Genetic Determinants of HDL-CholesterolR01HL084613 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 2007 to 2010
$2.8M
NHLBI NIH HHS HL084613NHLBI NIH HHS R01 HL084613
6 · The paper itself

Abstract

Genome-wide association studies have identified several loci associated with plasma lipid levels but those common variants together account only for a small proportion of the genetic variance of lipid traits. It has been hypothesized that the remaining heritability may partly be explained by rare variants with strong effect sizes. Here, we have comprehensively investigated the associations of both common and uncommon/rare variants in the lipoprotein lipase (LPL) gene in relation to plasma lipoprotein-lipid levels in African Blacks (ABs). For variant discovery purposes, the entire LPL gene and flanking regions were resequenced in 95 ABs with extreme high-density lipoprotein cholesterol (HDL-C) levels. A total of 308 variants were identified, of which 64 were novel. Selected common tagSNPs and uncommon/rare variants were genotyped in the entire sample (n=788), and 126 QC-passed variants were evaluated for their associations with lipoprotein-lipid levels by using single-site, haplotype and rare variant (SKAT-O) association analyses. We found eight not highly correlated (r(2)<0.40) signals (rs1801177:G>A, rs8176337:G>C, rs74304285:G>A, rs252:delA, rs316:C>A, rs329:A>G, rs12679834:T>C, and rs4921684:C>T) nominally (P<0.05) associated with lipid traits (HDL-C, LDL-C, ApoA1 or ApoB levels) in our sample. The most significant SNP, rs252:delA, represented a novel association observed with LDL-C (P=0.002) and ApoB (P=0.012). For TG and LDL-C, the haplotype analysis was more informative than the single-site analysis. The SKAT-O analysis revealed that the bin (group) containing 22 rare variants with MAF≤0.01 exhibited nominal association with TG (P=0.039) and LDL-C (P=0.027). Our study indicates that both common and uncommon/rare LPL variants/haplotypes may affect plasma lipoprotein-lipid levels in general African population.

Indexed as

Genome, HumanPolymorphism, Single NucleotideAdultAllelesApolipoprotein A-IApolipoproteins BBlack PeopleCholesterol, HDLCholesterol, LDLFemaleGene ExpressionGene FrequencyGenome-Wide Association StudyHaplotypesHumansLipid MetabolismApolipoprotein A-IApolipoproteins BCholesterol, HDLCholesterol, LDLLipoprotein LipaseLPL protein, humanTriglycerides

Identifiers

PMID25626708
PMCPMC4538195
OpenAlexW2008461976

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.