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Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Overview of attention for article published in Nature Genetics, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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157 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

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57 Dimensions

Readers on

mendeley
185 Mendeley
citeulike
2 CiteULike
Title
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
Published in
Nature Genetics, April 2018
DOI 10.1038/s41588-018-0084-1
Pubmed ID
Authors

Anubha Mahajan, Jennifer Wessel, Sara M. Willems, Wei Zhao, Neil R. Robertson, Audrey Y. Chu, Wei Gan, Hidetoshi Kitajima, Daniel Taliun, N. William Rayner, Xiuqing Guo, Yingchang Lu, Man Li, Richard A. Jensen, Yao Hu, Shaofeng Huo, Kurt K. Lohman, Weihua Zhang, James P. Cook, Bram Peter Prins, Jason Flannick, Niels Grarup, Vassily Vladimirovich Trubetskoy, Jasmina Kravic, Young Jin Kim, Denis V. Rybin, Hanieh Yaghootkar, Martina Müller-Nurasyid, Karina Meidtner, Ruifang Li-Gao, Tibor V. Varga, Jonathan Marten, Jin Li, Albert Vernon Smith, Ping An, Symen Ligthart, Stefan Gustafsson, Giovanni Malerba, Ayse Demirkan, Juan Fernandez Tajes, Valgerdur Steinthorsdottir, Matthias Wuttke, Cécile Lecoeur, Michael Preuss, Lawrence F. Bielak, Marielisa Graff, Heather M. Highland, Anne E. Justice, Dajiang J. Liu, Eirini Marouli, Gina Marie Peloso, Helen R. Warren, Saima Afaq, Shoaib Afzal, Emma Ahlqvist, Peter Almgren, Najaf Amin, Lia B. Bang, Alain G. Bertoni, Cristina Bombieri, Jette Bork-Jensen, Ivan Brandslund, Jennifer A. Brody, Noël P. Burtt, Mickaël Canouil, Yii-Der Ida Chen, Yoon Shin Cho, Cramer Christensen, Sophie V. Eastwood, Kai-Uwe Eckardt, Krista Fischer, Giovanni Gambaro, Vilmantas Giedraitis, Megan L. Grove, Hugoline G. de Haan, Sophie Hackinger, Yang Hai, Sohee Han, Anne Tybjærg-Hansen, Marie-France Hivert, Bo Isomaa, Susanne Jäger, Marit E. Jørgensen, Torben Jørgensen, Annemari Käräjämäki, Bong-Jo Kim, Sung Soo Kim, Heikki A. Koistinen, Peter Kovacs, Jennifer Kriebel, Florian Kronenberg, Kristi Läll, Leslie A. Lange, Jung-Jin Lee, Benjamin Lehne, Huaixing Li, Keng-Hung Lin, Allan Linneberg, Ching-Ti Liu, Jun Liu, Marie Loh, Reedik Mägi, Vasiliki Mamakou, Roberta McKean-Cowdin, Girish Nadkarni, Matt Neville, Sune F. Nielsen, Ioanna Ntalla, Patricia A. Peyser, Wolfgang Rathmann, Kenneth Rice, Stephen S. Rich, Line Rode, Olov Rolandsson, Sebastian Schönherr, Elizabeth Selvin, Kerrin S. Small, Alena Stančáková, Praveen Surendran, Kent D. Taylor, Tanya M. Teslovich, Barbara Thorand, Gudmar Thorleifsson, Adrienne Tin, Anke Tönjes, Anette Varbo, Daniel R. Witte, Andrew R. Wood, Pranav Yajnik, Jie Yao, Loïc Yengo, Robin Young, Philippe Amouyel, Heiner Boeing, Eric Boerwinkle, Erwin P. Bottinger, Rajiv Chowdhury, Francis S. Collins, George Dedoussis, Abbas Dehghan, Panos Deloukas, Marco M. Ferrario, Jean Ferrières, Jose C. Florez, Philippe Frossard, Vilmundur Gudnason, Tamara B. Harris, Susan R. Heckbert, Joanna M. M. Howson, Martin Ingelsson, Sekar Kathiresan, Frank Kee, Johanna Kuusisto, Claudia Langenberg, Lenore J. Launer, Cecilia M. Lindgren, Satu Männistö, Thomas Meitinger, Olle Melander, Karen L. Mohlke, Marie Moitry, Andrew D. Morris, Alison D. Murray, Renée de Mutsert, Marju Orho-Melander, Katharine R. Owen, Markus Perola, Annette Peters, Michael A. Province, Asif Rasheed, Paul M. Ridker, Fernando Rivadineira, Frits R. Rosendaal, Anders H. Rosengren, Veikko Salomaa, Wayne H.-H. Sheu, Rob Sladek, Blair H. Smith, Konstantin Strauch, André G. Uitterlinden, Rohit Varma, Cristen J. Willer, Matthias Blüher, Adam S. Butterworth, John Campbell Chambers, Daniel I. Chasman, John Danesh, Cornelia van Duijn, Josée Dupuis, Oscar H. Franco, Paul W. Franks, Philippe Froguel, Harald Grallert, Leif Groop, Bok-Ghee Han, Torben Hansen, Andrew T. Hattersley, Caroline Hayward, Erik Ingelsson, Sharon L. R. Kardia, Fredrik Karpe, Jaspal Singh Kooner, Anna Köttgen, Kari Kuulasmaa, Markku Laakso, Xu Lin, Lars Lind, Yongmei Liu, Ruth J. F. Loos, Jonathan Marchini, Andres Metspalu, Dennis Mook-Kanamori, Børge G. Nordestgaard, Colin N. A. Palmer, James S. Pankow, Oluf Pedersen, Bruce M. Psaty, Rainer Rauramaa, Naveed Sattar, Matthias B. Schulze, Nicole Soranzo, Timothy D. Spector, Kari Stefansson, Michael Stumvoll, Unnur Thorsteinsdottir, Tiinamaija Tuomi, Jaakko Tuomilehto, Nicholas J. Wareham, James G. Wilson, Eleftheria Zeggini, Robert A. Scott, Inês Barroso, Timothy M. Frayling, Mark O. Goodarzi, James B. Meigs, Michael Boehnke, Danish Saleheen, Andrew P. Morris, Jerome I. Rotter, Mark I. McCarthy

Abstract

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10-7); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.

Twitter Demographics

The data shown below were collected from the profiles of 157 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 184 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 26%
Unspecified 33 18%
Student > Ph. D. Student 28 15%
Student > Master 17 9%
Other 14 8%
Other 45 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 50 27%
Unspecified 45 24%
Medicine and Dentistry 37 20%
Agricultural and Biological Sciences 35 19%
Nursing and Health Professions 6 3%
Other 12 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 19 June 2019.
All research outputs
#201,894
of 13,338,776 outputs
Outputs from Nature Genetics
#605
of 6,188 outputs
Outputs of similar age
#9,206
of 270,557 outputs
Outputs of similar age from Nature Genetics
#32
of 71 outputs
Altmetric has tracked 13,338,776 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,188 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one has done particularly well, scoring higher than 90% 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 270,557 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 71 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 54% of its contemporaries.