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Evaluating genetic ancestry and self-reported ethnicity in the context of carrier screening

Overview of attention for article published in BMC Genomic Data, November 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Evaluating genetic ancestry and self-reported ethnicity in the context of carrier screening
Published in
BMC Genomic Data, November 2017
DOI 10.1186/s12863-017-0570-y
Pubmed ID
Authors

Roman Shraga, Sarah Yarnall, Sonya Elango, Arun Manoharan, Sally Ann Rodriguez, Sara L. Bristow, Neha Kumar, Mohammad Niknazar, David Hoffman, Shahin Ghadir, Rita Vassena, Serena H. Chen, Avner Hershlag, Jamie Grifo, Oscar Puig

Abstract

Current professional society guidelines recommend genetic carrier screening be offered on the basis of ethnicity, or when using expanded carrier screening panels, they recommend to compute residual risk based on ethnicity. We investigated the reliability of self-reported ethnicity in 9138 subjects referred to carrier screening. Self-reported ethnicity gathered from test requisition forms and during post-test genetic counseling, and genetic ancestry predicted by a statistical model, were compared for concordance. We identified several discrepancies between the two sources of self-reported ethnicity and genetic ancestry. Only 30.3% of individuals who indicated Mediterranean ancestry during consultation self-reported this on requisition forms. Additionally, the proportion of individuals who reported Southeast Asian but were estimated to have a different genetic ancestry was found to depend on the source of self-report. Finally, individuals who reported Latin American demonstrated a high degree of ancestral admixture. As a result, carrier rates and residual risks provided for patient decision-making are impacted if using self-reported ethnicity. Our analysis highlights the unreliability of ethnicity classification based on patient self-reports. We recommend the routine use of pan-ethnic carrier screening panels in reproductive medicine. Furthermore, the use of an ancestry model would allow better estimation of carrier rates and residual risks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Bachelor 10 14%
Researcher 9 13%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 18 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Agricultural and Biological Sciences 11 15%
Medicine and Dentistry 9 13%
Social Sciences 5 7%
Nursing and Health Professions 3 4%
Other 7 10%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 August 2022.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from BMC Genomic Data
#316
of 1,204 outputs
Outputs of similar age
#157,389
of 446,708 outputs
Outputs of similar age from BMC Genomic Data
#7
of 28 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 446,708 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 52% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.