↓ Skip to main content

High-throughput, pooled sequencing identifies mutations in NUBPL and FOXRED1 in human complex I deficiency

Overview of attention for article published in Nature Genetics, September 2010
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
5 patents
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
329 Dimensions

Readers on

mendeley
305 Mendeley
citeulike
6 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
High-throughput, pooled sequencing identifies mutations in NUBPL and FOXRED1 in human complex I deficiency
Published in
Nature Genetics, September 2010
DOI 10.1038/ng.659
Pubmed ID
Authors

Sarah E Calvo, Elena J Tucker, Alison G Compton, Denise M Kirby, Gabriel Crawford, Noel P Burtt, Manuel Rivas, Candace Guiducci, Damien L Bruno, Olga A Goldberger, Michelle C Redman, Esko Wiltshire, Callum J Wilson, David Altshuler, Stacey B Gabriel, Mark J Daly, David R Thorburn, Vamsi K Mootha

Abstract

Discovering the molecular basis of mitochondrial respiratory chain disease is challenging given the large number of both mitochondrial and nuclear genes that are involved. We report a strategy of focused candidate gene prediction, high-throughput sequencing and experimental validation to uncover the molecular basis of mitochondrial complex I disorders. We created seven pools of DNA from a cohort of 103 cases and 42 healthy controls and then performed deep sequencing of 103 candidate genes to identify 151 rare variants that were predicted to affect protein function. We established genetic diagnoses in 13 of 60 previously unsolved cases using confirmatory experiments, including cDNA complementation to show that mutations in NUBPL and FOXRED1 can cause complex I deficiency. Our study illustrates how large-scale sequencing, coupled with functional prediction and experimental validation, can be used to identify causal mutations in individual cases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
United Kingdom 5 2%
Germany 3 <1%
Belgium 2 <1%
France 1 <1%
Austria 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
India 1 <1%
Other 6 2%
Unknown 276 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 83 27%
Student > Ph. D. Student 80 26%
Other 26 9%
Professor > Associate Professor 22 7%
Student > Bachelor 18 6%
Other 54 18%
Unknown 22 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 45%
Biochemistry, Genetics and Molecular Biology 61 20%
Medicine and Dentistry 44 14%
Neuroscience 9 3%
Computer Science 5 2%
Other 22 7%
Unknown 27 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 09 January 2024.
All research outputs
#1,512,838
of 26,017,215 outputs
Outputs from Nature Genetics
#2,213
of 7,639 outputs
Outputs of similar age
#4,966
of 109,369 outputs
Outputs of similar age from Nature Genetics
#12
of 45 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 70% 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 109,369 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 93% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.