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A novel common variant in DCST2 is associated with length in early life and height in adulthood

Overview of attention for article published in Human Molecular Genetics, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
13 tweeters

Citations

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38 Dimensions

Readers on

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106 Mendeley
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4 CiteULike
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Title
A novel common variant in DCST2 is associated with length in early life and height in adulthood
Published in
Human Molecular Genetics, October 2014
DOI 10.1093/hmg/ddu510
Pubmed ID
Authors

Ralf J.P. van der Valk, Eskil Kreiner-Møller, Marjolein N. Kooijman, Mònica Guxens, Evangelia Stergiakouli, Annika Sääf, Jonathan P. Bradfield, Frank Geller, M. Geoffrey Hayes, Diana L. Cousminer, Antje Körner, Elisabeth Thiering, John A. Curtin, Ronny Myhre, Ville Huikari, Raimo Joro, Marjan Kerkhof, Nicole M. Warrington, Niina Pitkänen, Ioanna Ntalla, Momoko Horikoshi, Riitta Veijola, Rachel M. Freathy, Yik-Ying Teo, Sheila J. Barton, David M. Evans, John P. Kemp, Beate St Pourcain, Susan M. Ring, George Davey Smith, Anna Bergström, Inger Kull, Hakon Hakonarson, Frank D. Mentch, Hans Bisgaard, Bo Chawes, Jakob Stokholm, Johannes Waage, Patrick Eriksen, Astrid Sevelsted, Mads Melbye, Cornelia M. van Duijn, Carolina Medina-Gomez, Albert Hofman, Johan C. de Jongste, H. Rob Taal, André G. Uitterlinden, Loren L. Armstrong, Johan Eriksson, Aarno Palotie, Mariona Bustamante, Xavier Estivill, Juan R. Gonzalez, Sabrina Llop, Wieland Kiess, Anubha Mahajan, Claudia Flexeder, Carla M.T. Tiesler, Clare S. Murray, Angela Simpson, Per Magnus, Verena Sengpiel, Anna-Liisa Hartikainen, Sirkka Keinanen-Kiukaanniemi, Alexandra Lewin, Alexessander Da Silva Couto Alves, Alexandra I. Blakemore, Jessica L. Buxton, Marika Kaakinen, Alina Rodriguez, Sylvain Sebert, Marja Vaarasmaki, Timo Lakka, Virpi Lindi, Ulrike Gehring, Dirkje S. Postma, Wei Ang, John P. Newnham, Leo-Pekka Lyytikäinen, Katja Pahkala, Olli T. Raitakari, Kalliope Panoutsopoulou, Eleftheria Zeggini, Dorret I. Boomsma, Maria Groen-Blokhuis, Jorma Ilonen, Lude Franke, Joel N. Hirschhorn, Tune H. Pers, Liming Liang, Jinyan Huang, Berthold Hocher, Mikael Knip, Seang-Mei Saw, John W. Holloway, Erik Melén, Struan F.A. Grant, Bjarke Feenstra, William L. Lowe, Elisabeth Widén, Elena Sergeyev, Harald Grallert, Adnan Custovic, Bo Jacobsson, Marjo-Riitta Jarvelin, Mustafa Atalay, Gerard H. Koppelman, Craig E. Pennell, Harri Niinikoski, George V. Dedoussis, Mark I. Mccarthy, Timothy M. Frayling, Jordi Sunyer, Nicholas J. Timpson, Fernando Rivadeneira, Klaus Bønnelykke, Vincent W.V. Jaddoe

Abstract

Common genetic variants have been identified for adult height, but not much is known about the genetics of skeletal growth in early life. To identify common genetic variants that influence fetal skeletal growth, we meta-analyzed 22 genome-wide association studies (Stage 1; N=28,459). We identified 7 independent top SNPs (P<1x10(-6)) for birth length, of which 3 were novel and 4 were in or near loci known to be associated with adult height (LCORL, PTCH1, GPR126 and HMGA2). The 3 novel SNPs were followed-up in 9 replication studies (Stage 2; N=11,995), with rs905938 in DC-STAMP domain containing 2 (DCST2) genome-wide significantly associated with birth length in a joint analysis (Stages 1+2; ß=0.046, S.E.=0.008, P=2.46x10(-8), explained variance=0.05%). Rs905938 was also associated with infant length (N=28,228; P=5.54x10(-4)) and adult height (N=127,513; P=1.45x10(-5)). DCST2 is a DC-STAMP-like protein family member and DC-STAMP is an osteoclast cell-fusion regulator. Polygenic scores based on 180 SNPs previously associated with human adult stature explained 0.13% of variance in birth length. The same SNPs explained 2.95% of the variance of infant length. Of the 180 known adult height loci, 11 were genome-wide significantly associated with infant length (SF3B4, LCORL, SPAG17, C6orf173, PTCH1, GDF5, ZNFX1, HHIP, ACAN, HLA locus and HMGA2). This study highlights that common variation in DCST2 influences variation in early growth and adult height.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
United Kingdom 1 <1%
Finland 1 <1%
Unknown 103 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 20%
Student > Ph. D. Student 19 18%
Unspecified 13 12%
Student > Bachelor 13 12%
Professor 8 8%
Other 32 30%
Readers by discipline Count As %
Medicine and Dentistry 35 33%
Unspecified 23 22%
Agricultural and Biological Sciences 15 14%
Biochemistry, Genetics and Molecular Biology 10 9%
Nursing and Health Professions 4 4%
Other 19 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 September 2015.
All research outputs
#1,602,180
of 11,351,252 outputs
Outputs from Human Molecular Genetics
#1,080
of 6,015 outputs
Outputs of similar age
#33,705
of 204,421 outputs
Outputs of similar age from Human Molecular Genetics
#9
of 81 outputs
Altmetric has tracked 11,351,252 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 82% 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 204,421 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.