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A Rare Functional Noncoding Variant at the GWAS-Implicated MIR137/MIR2682 Locus Might Confer Risk to Schizophrenia and Bipolar Disorder

Overview of attention for article published in American Journal of Human Genetics, November 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 (80th percentile)

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Title
A Rare Functional Noncoding Variant at the GWAS-Implicated MIR137/MIR2682 Locus Might Confer Risk to Schizophrenia and Bipolar Disorder
Published in
American Journal of Human Genetics, November 2014
DOI 10.1016/j.ajhg.2014.11.001
Pubmed ID
Authors

Jubao Duan, Jianxin Shi, Alessia Fiorentino, Catherine Leites, Xiangning Chen, Winton Moy, Jingchun Chen, Boian S. Alexandrov, Anny Usheva, Deli He, Jessica Freda, Niamh L. O’Brien, MGS, Pablo V. Gejman, Alan R. Sanders, Jubao Duan, Douglas F. Levinson, Jianxin Shi, Nancy G. Buccola, Bryan J. Mowry, Robert Freedman, Ann Olincy, Farooq Amin, Donald W. Black, Jeremy M. Silverman, William F. Byerley, Dragan M. Svrakic, C. Robert Cloninger, GPC, Michele T. Pato, Janet L. Sobell, Helena Medeiros, Colony Abbott, Brooke Skar, Peter F. Buckley, Evelyn J. Bromet, Michael A. Escamilla, Ayman H. Fanous, Douglas S. Lehrer, Fabio Macciardi, Dolores Malaspina, Steve A. McCarroll, Stephen R. Marder, Jennifer Moran, Christopher P. Morley, Humberto Nicolini, Diana O. Perkins, Shaun M. Purcell, Mark H. Rapaport, Pamela Sklar, Jordan W. Smoller, James A. Knowles, Carlos N. Pato, Andrew McQuillin, Alan R. Sanders, Elliot S. Gershon, Lynn E. DeLisi, Alan R. Bishop, Hugh M.D. Gurling, Michele T. Pato, Douglas F. Levinson, Kenneth S. Kendler, Carlos N. Pato, Pablo V. Gejman

Abstract

Schizophrenia (SZ) genome-wide association studies (GWASs) have identified common risk variants in >100 susceptibility loci; however, the contribution of rare variants at these loci remains largely unexplored. One of the strongly associated loci spans MIR137 (miR137) and MIR2682 (miR2682), two microRNA genes important for neuronal function. We sequenced ∼6.9 kb MIR137/MIR2682 and upstream regulatory sequences in 2,610 SZ cases and 2,611 controls of European ancestry. We identified 133 rare variants with minor allele frequency (MAF) <0.5%. The rare variant burden in promoters and enhancers, but not insulators, was associated with SZ (p = 0.021 for MAF < 0.5%, p = 0.003 for MAF < 0.1%). A rare enhancer SNP, 1:g.98515539A>T, presented exclusively in 11 SZ cases (nominal p = 4.8 × 10(-4)). We further identified its risk allele T in 2 of 2,434 additional SZ cases, 11 of 4,339 bipolar (BP) cases, and 3 of 3,572 SZ/BP study controls and 1,688 population controls; yielding combined p values of 0.0007, 0.0013, and 0.0001 for SZ, BP, and SZ/BP, respectively. The risk allele T of 1:g.98515539A>T reduced enhancer activity of its flanking sequence by >50% in human neuroblastoma cells, predicting lower expression of MIR137/MIR2682. Both empirical and computational analyses showed weaker transcription factor (YY1) binding by the risk allele. Chromatin conformation capture (3C) assay further indicated that 1:g.98515539A>T influenced MIR137/MIR2682, but not the nearby DPYD or LOC729987. Our results suggest that rare noncoding risk variants are associated with SZ and BP at MIR137/MIR2682 locus, with risk alleles decreasing MIR137/MIR2682 expression.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 126 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 21%
Student > Ph. D. Student 23 18%
Student > Bachelor 17 13%
Student > Master 12 9%
Other 11 8%
Other 17 13%
Unknown 23 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 25%
Agricultural and Biological Sciences 29 22%
Medicine and Dentistry 12 9%
Neuroscience 10 8%
Psychology 4 3%
Other 14 11%
Unknown 29 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 February 2015.
All research outputs
#5,309,230
of 25,374,647 outputs
Outputs from American Journal of Human Genetics
#2,375
of 5,879 outputs
Outputs of similar age
#70,460
of 369,747 outputs
Outputs of similar age from American Journal of Human Genetics
#26
of 38 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 59% 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 369,747 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 80% of its contemporaries.
We're also able to compare this research output to 38 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.