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Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Overview of attention for article published in Nature Communications, January 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Citations

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175 Dimensions

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359 Mendeley
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Title
Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility
Published in
Nature Communications, January 2015
DOI 10.1038/ncomms6897
Pubmed ID
Authors

Jennifer Wessel, Audrey Y Chu, Sara M Willems, Shuai Wang, Hanieh Yaghootkar, Jennifer A Brody, Marco Dauriz, Marie-France Hivert, Sridharan Raghavan, Leonard Lipovich, Bertha Hidalgo, Keolu Fox, Jennifer E Huffman, Ping An, Yingchang Lu, Laura J Rasmussen-Torvik, Niels Grarup, Margaret G Ehm, Li Li, Abigail S Baldridge, Alena Stančáková, Ravinder Abrol, Céline Besse, Anne Boland, Jette Bork-Jensen, Myriam Fornage, Daniel F Freitag, Melissa E Garcia, Xiuqing Guo, Kazuo Hara, Aaron Isaacs, Johanna Jakobsdottir, Leslie A Lange, Jill C Layton, Man Li, Jing Hua Zhao, Karina Meidtner, Alanna C Morrison, Mike A Nalls, Marjolein J Peters, Maria Sabater-Lleal, Claudia Schurmann, Angela Silveira, Albert V Smith, Lorraine Southam, Marcus H Stoiber, Rona J Strawbridge, Kent D Taylor, Tibor V Varga, Kristine H Allin, Najaf Amin, Jennifer L Aponte, Tin Aung, Caterina Barbieri, Nathan A Bihlmeyer, Michael Boehnke, Cristina Bombieri, Donald W Bowden, Sean M Burns, Yuning Chen, Yii-DerI Chen, Ching-Yu Cheng, Adolfo Correa, Jacek Czajkowski, Abbas Dehghan, Georg B Ehret, Gudny Eiriksdottir, Stefan A Escher, Aliki-Eleni Farmaki, Mattias Frånberg, Giovanni Gambaro, Franco Giulianini, William A Goddard, Anuj Goel, Omri Gottesman, Megan L Grove, Stefan Gustafsson, Yang Hai, Göran Hallmans, Jiyoung Heo, Per Hoffmann, Mohammad K Ikram, Richard A Jensen, Marit E Jørgensen, Torben Jørgensen, Maria Karaleftheri, Chiea C Khor, Andrea Kirkpatrick, Aldi T Kraja, Johanna Kuusisto, Ethan M Lange, I T Lee, Wen-Jane Lee, Aaron Leong, Jiemin Liao, Chunyu Liu, Yongmei Liu, Cecilia M Lindgren, Allan Linneberg, Giovanni Malerba, Vasiliki Mamakou, Eirini Marouli, Nisa M Maruthur, Angela Matchan, Roberta McKean-Cowdin, Olga McLeod, Ginger A Metcalf, Karen L Mohlke, Donna M Muzny, Ioanna Ntalla, Nicholette D Palmer, Dorota Pasko, Andreas Peter, Nigel W Rayner, Frida Renström, Ken Rice, Cinzia F Sala, Bengt Sennblad, Ioannis Serafetinidis, Jennifer A Smith, Nicole Soranzo, Elizabeth K Speliotes, Eli A Stahl, Kathleen Stirrups, Nikos Tentolouris, Anastasia Thanopoulou, Mina Torres, Michela Traglia, Emmanouil Tsafantakis, Sundas Javad, Lisa R Yanek, Eleni Zengini, Diane M Becker, Joshua C Bis, James B Brown, L Adrienne Cupples, Torben Hansen, Erik Ingelsson, Andrew J Karter, Carlos Lorenzo, Rasika A Mathias, Jill M Norris, Gina M Peloso, Wayne H.-H. Sheu, Daniela Toniolo, Dhananjay Vaidya, Rohit Varma, Lynne E Wagenknecht, Heiner Boeing, Erwin P Bottinger, George Dedoussis, Panos Deloukas, Ele Ferrannini, Oscar H Franco, Paul W Franks, Richard A Gibbs, Vilmundur Gudnason, Anders Hamsten, Tamara B Harris, Andrew T Hattersley, Caroline Hayward, Albert Hofman, Jan-Håkan Jansson, Claudia Langenberg, Lenore J Launer, Daniel Levy, Ben A Oostra, Christopher J O’Donnell, Stephen O’Rahilly, Sandosh Padmanabhan, James S Pankow, Ozren Polasek, Michael A Province, Stephen S Rich, Paul M Ridker, Igor Rudan, Matthias B Schulze, Blair H Smith, André G Uitterlinden, Mark Walker, Hugh Watkins, Tien Y Wong, Eleftheria Zeggini, Markku Laakso, Ingrid B Borecki, Daniel I Chasman, Oluf Pedersen, Bruce M Psaty, E Shyong Tai, Cornelia M van Duijn, Nicholas J Wareham, Dawn M Waterworth, Eric Boerwinkle, W H Linda Kao, Jose C Florez, Ruth J.F. Loos, James G Wilson, Timothy M Frayling, David S Siscovick, Josée Dupuis, Jerome I Rotter, James B Meigs, Robert A Scott, Mark O Goodarzi

Abstract

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Germany 1 <1%
Unknown 354 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 20%
Student > Master 40 11%
Student > Ph. D. Student 37 10%
Professor > Associate Professor 27 8%
Student > Bachelor 26 7%
Other 76 21%
Unknown 80 22%
Readers by discipline Count As %
Medicine and Dentistry 87 24%
Biochemistry, Genetics and Molecular Biology 56 16%
Agricultural and Biological Sciences 53 15%
Computer Science 12 3%
Psychology 11 3%
Other 49 14%
Unknown 91 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 September 2017.
All research outputs
#1,033,010
of 24,598,501 outputs
Outputs from Nature Communications
#16,429
of 53,069 outputs
Outputs of similar age
#14,446
of 363,581 outputs
Outputs of similar age from Nature Communications
#188
of 702 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 53,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has gotten more attention than average, scoring higher than 69% 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 363,581 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 702 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 73% of its contemporaries.