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Impact of sample collection participation on the validity of estimated measures of association in the National Birth Defects Prevention Study when assessing gene‐environment interactions

Overview of attention for article published in Genetic Epidemiology, October 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Impact of sample collection participation on the validity of estimated measures of association in the National Birth Defects Prevention Study when assessing gene‐environment interactions
Published in
Genetic Epidemiology, October 2017
DOI 10.1002/gepi.22088
Pubmed ID
Authors

Mary M. Jenkins, Jennita Reefhuis, Amy H. Herring, Margaret A. Honein

Abstract

To better understand the impact that nonresponse for specimen collection has on the validity of estimates of association, we examined associations between self-reported maternal periconceptional smoking, folic acid use, or pregestational diabetes mellitus and six birth defects among families who did and did not submit buccal cell samples for DNA following a telephone interview as part of the National Birth Defects Prevention Study (NBDPS). Analyses included control families with live born infants who had no birth defects (N = 9,465), families of infants with anorectal atresia or stenosis (N = 873), limb reduction defects (N = 1,037), gastroschisis (N = 1,090), neural tube defects (N = 1,764), orofacial clefts (N = 3,836), or septal heart defects (N = 4,157). Estimated dates of delivery were between 1997 and 2009. For each exposure and birth defect, odds ratios and 95% confidence intervals were calculated using logistic regression stratified by race-ethnicity and sample collection status. Tests for interaction were applied to identify potential differences between estimated measures of association based on sample collection status. Significant differences in estimated measures of association were observed in only four of 48 analyses with sufficient sample sizes. Despite lower than desired participation rates in buccal cell sample collection, this validation provides some reassurance that the estimates obtained for sample collectors and noncollectors are comparable. These findings support the validity of observed associations in gene-environment interaction studies for the selected exposures and birth defects among NBDPS participants who submitted DNA samples.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 16%
Student > Master 4 13%
Student > Bachelor 4 13%
Librarian 2 6%
Researcher 2 6%
Other 7 22%
Unknown 8 25%
Readers by discipline Count As %
Medicine and Dentistry 10 31%
Nursing and Health Professions 5 16%
Psychology 3 9%
Social Sciences 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 October 2021.
All research outputs
#6,319,971
of 24,525,936 outputs
Outputs from Genetic Epidemiology
#180
of 828 outputs
Outputs of similar age
#96,528
of 332,626 outputs
Outputs of similar age from Genetic Epidemiology
#6
of 20 outputs
Altmetric has tracked 24,525,936 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 828 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 78% 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 332,626 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.