Evidence map›Paper›PMID 26241468›Full record

ReviewCurrent opinion in genetics & development2015

Insights into blood lipids from rare variant discovery.

Ellen M Schmidt, Cristen J Willer

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Ellen M SchmidtDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Cristen J WillerDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: cristen@umich.edu.
University of Michigan–Ann Arbor · US

Funding

Using genetics to discover mechanisms of myocardial infarctionR01HL109946 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUQING Eugene CHEN, Ida Liisa Surakka · 2011 to 2026
$8.9M
Genetic Variants Associated with HDL and LDL Cholesterol, and Triglyceride LevelsR00HL094535 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLER, CRISTEN J · 2011 to 2013
$724k
Genetic Variants Associated with HDL and LDL Cholesterol, and Triglyceride LevelsK99HL094535 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLER, CRISTEN J · 2009 to 2010
$180k
NHLBI NIH HHS HL094535NHLBI NIH HHS HL109946NHLBI NIH HHS K99 HL094535NHLBI NIH HHS R00 HL094535NHLBI NIH HHS R01 HL109946
6 · The paper itself

Abstract

Large-scale genome wide screens have discovered over 160 common variants associated with plasma lipids, which are risk factors often linked to heart disease. A large fraction of lipid heritability remains unexplained, and it is hypothesized that rare variants of functional consequence may account for some of the missing heritability. Finding lipid-associated variants that occur less frequently in the human population poses a challenge, primarily due to lack of power and difficulties to identify and test them. Interrogation of the protein-coding regions of the genome using array and sequencing techniques has led to important discoveries of rare variants that affect lipid levels and related disease risk. Here, we summarize the latest methods and findings that contribute to our current understanding of rare variant lipid genetics.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGene FrequencyGenome-Wide Association StudyHeart DiseasesHumansLipidsOpen Reading FramesPolymorphism, Single NucleotideLipids

Identifiers

PMID26241468
PMCPMC4674297
OpenAlexW1099913634

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.