↓ Skip to main content

Characterization of the DYX2 locus on chromosome 6p22 with reading disability, language impairment, and IQ

Overview of attention for article published in Human Genetics, February 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
5 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
5 CiteULike
Title
Characterization of the DYX2 locus on chromosome 6p22 with reading disability, language impairment, and IQ
Published in
Human Genetics, February 2014
DOI 10.1007/s00439-014-1427-3
Pubmed ID
Authors

John D. Eicher, Natalie R. Powers, Laura L. Miller, Kathryn L. Mueller, Sara Mascheretti, Cecilia Marino, Erik G. Willcutt, John C. DeFries, Richard K. Olson, Shelley D. Smith, Bruce F. Pennington, J. Bruce Tomblin, Susan M. Ring, Jeffrey R. Gruen

Abstract

Reading disability (RD) and language impairment (LI) are common neurodevelopmental disorders with moderately strong genetic components and lifelong implications. RD and LI are marked by unexpected difficulty acquiring and processing written and verbal language, respectively, despite adequate opportunity and instruction. RD and LI-and their associated deficits-are complex, multifactorial, and often comorbid. Genetic studies have repeatedly implicated the DYX2 locus, specifically the genes DCDC2 and KIAA0319, in RD, with recent studies suggesting they also influence LI, verbal language, and cognition. Here, we characterize the relationship of the DYX2 locus with RD, LI, and IQ. To accomplish this, we developed a marker panel densely covering the 1.4 Mb DYX2 locus and assessed association with reading, language, and IQ measures in subjects from the Avon Longitudinal Study of Parents and Children. We then replicated associations in three independent, disorder-selected cohorts. As expected, there were associations with known RD risk genes KIAA0319 and DCDC2. In addition, we implicated markers in or near other DYX2 genes, including TDP2, ACOT13, C6orf62, FAM65B, and CMAHP. However, the LD structure of the locus suggests that associations within TDP2, ACOT13, and C6orf62 are capturing a previously reported risk variant in KIAA0319. Our results further substantiate the candidacy of KIAA0319 and DCDC2 as major effector genes in DYX2, while proposing FAM65B and CMAHP as new DYX2 candidate genes. Association of DYX2 with multiple neurobehavioral traits suggests risk variants have functional consequences affecting multiple neurological processes. Future studies should dissect these functional, possibly interactive relationships of DYX2 candidate genes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 17%
Student > Master 11 15%
Student > Ph. D. Student 10 14%
Professor 6 8%
Researcher 6 8%
Other 13 18%
Unknown 13 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 15%
Psychology 10 14%
Neuroscience 9 13%
Agricultural and Biological Sciences 7 10%
Medicine and Dentistry 7 10%
Other 13 18%
Unknown 14 20%
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 04 October 2018.
All research outputs
#13,174,310
of 23,325,355 outputs
Outputs from Human Genetics
#2,374
of 2,983 outputs
Outputs of similar age
#159,421
of 313,065 outputs
Outputs of similar age from Human Genetics
#35
of 46 outputs
Altmetric has tracked 23,325,355 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 2,983 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 313,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.