Evidence map›Paper›PMID 29987113›Full record

ArticleCirculation. Genomic and precision medicine2018

Multiplexed Targeted Resequencing Identifies Coding and Regulatory Variation Underlying Phenotypic Extremes of High-Density Lipoprotein Cholesterol in Humans.

Sumeet A Khetarpal, Paul L Babb, Wei Zhao, William F Hancock-Cerutti, Christopher D Brown, Daniel J Rader, Benjamin F Voight

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. High HDL-Cholesterol Paradox: SCARB1-LAG3-HDL Axis.Current atherosclerosis reports · 2021
    Review
  5. 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

7 authors at 1 institution in 1 country.

Sumeet A KhetarpalDepartment of Genetics (S.A.K., P.L.B., W.Z., W.F.H.-C., C.D.B., D.J.R.).
Paul L BabbDepartment of Genetics (S.A.K., P.L.B., W.Z., W.F.H.-C., C.D.B., D.J.R.).
Wei ZhaoDepartment of Genetics (S.A.K., P.L.B., W.Z., W.F.H.-C., C.D.B., D.J.R.).
William F Hancock-CeruttiDepartment of Genetics (S.A.K., P.L.B., W.Z., W.F.H.-C., C.D.B., D.J.R.).
Christopher D BrownDepartment of Genetics (S.A.K., P.L.B., W.Z., W.F.H.-C., C.D.B., D.J.R.).
Daniel J RaderDepartment of Genetics (S.A.K., P.L.B., W.Z., W.F.H.-C., C.D.B., D.J.R.) bvoight@pennmedicine.upenn.edu rader@pennmedicine.upenn.edu.
Benjamin F VoightDepartment of Systems Pharmacology and Translational Therapeutics (P.L.B., B.F.V.) bvoight@pennmedicine.upenn.edu rader@pennmedicine.upenn.edu.
Translational Therapeutics (United States) · US

Funding

HDL metabolism: Influence of extracellular lipasesR37HL055323 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RADER, DANIEL JAMES · 2009 to 2018
$4.0M
Genetics of Elevated High Density Lipoprotein CholesterolR01HL089309 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RADER, DANIEL JAMES · 2008 to 2012
$3.9M
Discovery and Validation of Novel Loci Associated with HDL FunctionR01HL111398 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DANESH, JOHN NAVID, RADER, DANIEL JAMES · 2012 to 2016
$3.3M
Epigenetic fine-mapping of cardiometabolic disease loci in the human liverR01HL133218 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BROWN, CHRISTOPHER DAVID, ENGELHARDT, BARBARA · 2017 to 2020
$3.1M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
ApoC-III: Structure-Function and Regulation of Triglyceride MetabolismF30HL124967 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KHETARPAL, SUMEET · 2014 to 2016
$123k
NHLBI NIH HHS F30 HL124967NHLBI NIH HHS R01 HL089309NHLBI NIH HHS R01 HL111398NHLBI NIH HHS R01 HL133218NHLBI NIH HHS R37 HL055323NIDDK NIH HHS R01 DK101478
6 · The paper itself

Abstract

backgroundGenome-wide association studies have uncovered common variants at many loci influencing human complex traits, such as high-density lipoprotein cholesterol (HDL-C). However, the contribution of the identified genes is difficult to ascertain from current efforts interrogating common variants with small effects. Thus, there is a pressing need for scalable, cost-effective strategies for uncovering causal variants, many of which may be rare and noncoding.

methodsHere, we used a molecular inversion probe target capture approach to resequence both coding and regulatory regions at 7 HDL-C-associated loci in 797 individuals with extremely high HDL-C versus 735 low-to-normal HDL-C controls. Our targets included protein-coding regions of

resultsExome-wide genotyping in 1114 of the 1532 participants yielded a >90% genotyping concordance rate with molecular inversion probe-identified variants in ≈90% of participants. This approach rediscovered nearly all established genome-wide association studies associations in

conclusionsOur targeted resequencing of individuals at the HDL-C phenotypic extremes offers a novel, efficient, and cost-effective approach for identifying rare coding and noncoding variation differences in extreme phenotypes and supports the rationale for applying this methodology to uncover rare variation-particularly noncoding variation-underlying myriad complex traits.

Indexed as

Multifactorial InheritanceOpen Reading FramesPolymorphism, Single NucleotideRegulatory Sequences, Nucleic AcidAdultCholesterol, HDLFemaleGenome-Wide Association StudyHumansMaleCholesterol, HDLgeneticsgenetic techniquesgenetic variationgenome-wide association studyhumans

Identifiers

PMID29987113
PMCPMC6050033
OpenAlexW2878283013

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.