Evidence map›Paper›PMID 27256581›Full record

ArticleGenetic epidemiology2016

Identification of Rare Variants in Metabolites of the Carnitine Pathway by Whole Genome Sequencing Analysis.

Akram Yazdani, Azam Yazdani, Xiaoming Liu, Eric Boerwinkle

Open access · greenAbstract read
In one paragraph

Article in Genetic epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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  7. Molecular Portrait of an Athlete.Diagnostics (Basel, Switzerland) · 2021
    Review
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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

4 authors at 1 institution in 1 country.

Akram YazdaniHuman Genetics Center, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Azam YazdaniHuman Genetics Center, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Xiaoming LiuHuman Genetics Center, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Eric BoerwinkleHuman Genetics Center, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
The University of Texas Health Science Center at Houston · US

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Baylor-Johns Hopkins Center for Mendelian GeneticsU54HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2012 to 2015
$15.6M
Baylor-Johns Hopkins Center for Mendelian GeneticsUM1HG006542 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2016 to 2020
$14.5M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
Genome-Wide Association for Loci Influencing CHD and Other Heart, Lung and BloodR01HL087641 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2006 to 2008
$3.7M
GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U54 HG003273NHGRI NIH HHS U54 HG006542NHGRI NIH HHS UM1 HG006542NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS RC2 HL102419
6 · The paper itself

Abstract

We use whole genome sequence data and rare variant analysis methods to investigate a subset of the human serum metabolome, including 16 carnitine-related metabolites that are important components of mammalian energy metabolism. Medium pass sequence data consisting of 12,820,347 rare variants and serum metabolomics data were available on 1,456 individuals. By applying a penalization method, we identified two genes FGF8 and MDGA2 with significant effects on lysine and cis-4-decenoylcarnitine, respectively, using Δ-AIC and likelihood ratio test statistics. Single variant analyses in these regions did not identify a single low-frequency variant (minor allele count > 3) responsible for the underlying signal. The results demonstrate the utility of whole genome sequence and innovative analyses for identifying candidate regions influencing complex phenotypes.

Indexed as

MetabolomicsBiomarkersCarnitineFemaleFibroblast Growth Factor 8Genetic VariationGPI-Linked ProteinsHigh-Throughput Nucleotide SequencingHumansLinkage DisequilibriumLysineMaleMiddle AgedNeural Cell Adhesion MoleculesPolymorphism, Single NucleotideSequence Analysis, DNABiomarkersCarnitineFibroblast Growth Factor 8GPI-Linked ProteinsLysineMDGA2 protein, humanNeural Cell Adhesion Moleculescarnitinelinkage disequilibriummetabolomicspenalizationrare variants

Identifiers

PMID27256581
PMCPMC5609480
OpenAlexW2412091225

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.