Evidence map›Paper›PMID 24896150›Full record

ArticleEuropean journal of human genetics : EJHG2015

Genome-wide haplotypic testing in a Finnish cohort identifies a novel association with low-density lipoprotein cholesterol.

Qian S Zhang, Brian L Browning, Sharon R Browning

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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  6. Rapidly Registering Identity-by-Descent Across Ancestral Recombination Graphs.Journal of computational biology : a journal of computational molecular cell biology · 2016
    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

3 authors at 1 institution in 1 country.

Qian S Zhang1] Department of Medicine, University of Washington, Seattle, WA, USA [2] Department of Biostatistics, University of Washington, Seattle, WA, USA.
Brian L Browning1] Department of Biostatistics, University of Washington, Seattle, WA, USA [2] Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA.
Sharon R BrowningDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
University of Washington · US

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
Theoretical Population Genetics SupplementR01GM075091 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2006 to 2020
$4.7M
Improved gene mapping for whole genome dataR01HG005701 · NHGRI · UNIVERSITY OF WASHINGTON · PI BROWNING, BRIAN LEE · 2010 to 2024
$4.4M
Predoctoral Research Training in Statistical Genetics Administrative SupplementT32GM081062 · NIGMS · UNIVERSITY OF WASHINGTON · PI THORNTON, TIMOTHY ALVIN · 2007 to 2021
$2.4M
Improving genotype call accuracyR01HG004960 · NHGRI · UNIVERSITY OF WASHINGTON · PI BROWNING, BRIAN LEE · 2009 to 2014
$1.4M
NHGRI NIH HHS HG004960NHGRI NIH HHS HG005701NHGRI NIH HHS R01 HG004960NHGRI NIH HHS R01 HG005701NIEHS NIH HHS T32 ES015459NIGMS NIH HHS GM075091NIGMS NIH HHS GM099568NIGMS NIH HHS P01 GM099568NIGMS NIH HHS R01 GM075091NIGMS NIH HHS T32 GM007266NIGMS NIH HHS T32 GM081062
6 · The paper itself

Abstract

We performed genome-wide tests for association between haplotype clusters and each of 9 metabolic traits in a cohort of 5402 Northern Finnish individuals genotyped for 330 000 single-nucleotide polymorphisms. The metabolic traits were body mass index, C-reactive protein, diastolic blood pressure, glucose, high-density lipoprotein (HDL), insulin, low-density lipoprotein (LDL), systolic blood pressure, and triglycerides. Haplotype clusters were determined using Beagle. There were LDL-associated clusters in the chromosome 4q13.3-q21.1 region containing the albumin (ALB) and platelet factor 4 (PF4) genes. This region has not been associated with LDL in previous genome-wide association studies. The most significant haplotype cluster in this region was associated with 0.488 mmol/l higher LDL (95% CI: 0.361-0.615 mmol/l, P-value: 6.4 × 10(-14)). We also observed three previously reported associations: Chromosome 16q13 with HDL, chromosome 1p32.3-p32.2 with LDL and chromosome 19q13.31-q13.32 with LDL. The chromosome 1 and chromosome 4 LDL associations do not reach genome-wide significance in single-marker analyses of these data, illustrating the power of haplotypic association testing.

Indexed as

Genetic Association StudiesGenome-Wide Association StudyHaplotypesPolymorphism, Single NucleotideAdultCholesterol, LDLChromosome MappingChromosomes, HumanCohort StudiesFemaleFinlandHumansMaleMiddle AgedQuantitative Trait, HeritableCholesterol, LDL

Identifiers

PMID24896150
PMCPMC4402615
OpenAlexW2001844995

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.