↓ Skip to main content

Heritability of pulmonary function estimated from pedigree and whole-genome markers

Overview of attention for article published in Frontiers in Genetics, January 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
40 Mendeley
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
Heritability of pulmonary function estimated from pedigree and whole-genome markers
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00174
Pubmed ID
Authors

Yann C. Klimentidis, Ana I. Vazquez, Gustavo de los Campos, David B. Allison, Mark T. Dransfield, Victor J. Thannickal

Abstract

Asthma and chronic obstructive pulmonary disease (COPD) are major worldwide health problems. Pulmonary function testing is a useful diagnostic tool for these diseases, and is known to be influenced by genetic and environmental factors. Previous studies have demonstrated that a substantial proportion of the variation in pulmonary function phenotypes can be explained by familial relationships. The availability of whole-genome single nucleotide polymorphism (SNP) data enables us to further evaluate the extent to which genetic factors account for variation in pulmonary function and to compare pedigree- to SNP-based estimates of heritability. Here, we employ methods developed in the animal breeding field to estimate the heritability of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and the ratio of these two measures (FEV1/FVC) among subjects in the Framingham Heart Study dataset. We compare heritability estimates based on pedigree-based relationships to those based on genome-wide SNPs. We find that, in a family-based study, estimates of heritability using SNP data are nearly identical to estimates based on pedigree information, and range from 0.50 for FEV1 to 0.66 for FEV1/FVC. Therefore, we conclude that genetic factors account for a sizable proportion of inter-individual differences in pulmonary function, and that estimates of heritability based on SNP data are nearly identical to estimates based on pedigree data. Finally, our findings suggest a higher heritability for FEV1/FVC compared to either FEV1 or FVC.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Switzerland 1 3%
Brazil 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 30%
Student > Master 6 15%
Professor > Associate Professor 5 13%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Other 7 18%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 23%
Medicine and Dentistry 8 20%
Biochemistry, Genetics and Molecular Biology 5 13%
Nursing and Health Professions 3 8%
Psychology 2 5%
Other 2 5%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 September 2013.
All research outputs
#14,760,611
of 22,721,584 outputs
Outputs from Frontiers in Genetics
#4,449
of 11,757 outputs
Outputs of similar age
#175,341
of 280,759 outputs
Outputs of similar age from Frontiers in Genetics
#176
of 319 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% 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 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.