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Genetic analysis of impaired trimethylamine metabolism using whole exome sequencing

Overview of attention for article published in BMC Medical Genomics, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 2,444)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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7 news outlets
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1 YouTube creator

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10 Dimensions

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37 Mendeley
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Title
Genetic analysis of impaired trimethylamine metabolism using whole exome sequencing
Published in
BMC Medical Genomics, February 2017
DOI 10.1186/s12881-017-0369-8
Pubmed ID
Authors

Yiran Guo, Liang-Dar Hwang, Jiankang Li, Jason Eades, Chung Wen Yu, Corrine Mansfield, Alexis Burdick-Will, Xiao Chang, Yulan Chen, Fujiko F. Duke, Jianguo Zhang, Steven Fakharzadeh, Paul Fennessey, Brendan J. Keating, Hui Jiang, Hakon Hakonarson, Danielle R. Reed, George Preti

Abstract

Trimethylaminuria (TMAU) is a genetic disorder whereby people cannot convert trimethylamine (TMA) to its oxidized form (TMAO), a process that requires the liver enzyme FMO3. Loss-of-function variants in the FMO3 gene are a known cause of TMAU. In addition to the inability to metabolize TMA precursors like choline, patients often emit a characteristic odor because while TMAO is odorless, TMA has a fishy smell. The Monell Chemical Senses Center is a research institute with a program to evaluate people with odor complaints for TMAU. Here we evaluated ten subjects by (1) odor evaluation by a trained sensory panel, (2) analysis of their urine concentration of TMA relative to TMAO before and after choline ingestion, and (3) whole exome sequencing as well as subsequent variant analysis of all ten samples to investigate the genetics of TMAU. While all subjects reported they often emitted a fish-like odor, none had this malodor during sensory evaluation. However, all were impaired in their ability to produce >90% TMAO/TMA in their urine and thus met the criteria for TMAU. To probe for genetic causes, the exome of each subject was sequenced, and variants were filtered by genes with a known (FMO3) or expected effect on TMA metabolism function (other oxidoreductases). We filtered the remaining variants by allele frequency and predicated functional effects. We identified one subject that had a rare loss-of-function FMO3 variant and six with more common decreased-function variants. In other oxidoreductases genes, five subjects had four novel rare single-nucleotide polymorphisms as well as one rare insertion/deletion. Novel in this context means no investigators have previously linked these variants to TMAU although they are in dbSNP. Thus, variants in genes other than FMO3 may cause TMAU and the genetic variants identified here serve as a starting point for future studies of impaired TMA metabolism.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 4 11%
Student > Postgraduate 3 8%
Student > Bachelor 3 8%
Lecturer 2 5%
Other 4 11%
Unknown 15 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 14%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 4 11%
Immunology and Microbiology 1 3%
Psychology 1 3%
Other 5 14%
Unknown 16 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2018.
All research outputs
#867,889
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#28
of 2,444 outputs
Outputs of similar age
#20,304
of 448,866 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 35 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 448,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.