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Genome-wide associations for birth weight and correlations with adult disease

Overview of attention for article published in Nature, September 2016
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
17 news outlets
blogs
3 blogs
policy
1 policy source
twitter
317 X users
facebook
9 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
416 Dimensions

Readers on

mendeley
608 Mendeley
citeulike
6 CiteULike
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Title
Genome-wide associations for birth weight and correlations with adult disease
Published in
Nature, September 2016
DOI 10.1038/nature19806
Pubmed ID
Authors

Momoko Horikoshi, Robin N. Beaumont, Felix R. Day, Nicole M. Warrington, Marjolein N. Kooijman, Juan Fernandez-Tajes, Bjarke Feenstra, Natalie R. van Zuydam, Kyle J. Gaulton, Niels Grarup, Jonathan P. Bradfield, David P. Strachan, Ruifang Li-Gao, Tarunveer S. Ahluwalia, Eskil Kreiner, Rico Rueedi, Leo-Pekka Lyytikäinen, Diana L. Cousminer, Ying Wu, Elisabeth Thiering, Carol A. Wang, Christian T. Have, Jouke-Jan Hottenga, Natalia Vilor-Tejedor, Peter K. Joshi, Eileen Tai Hui Boh, Ioanna Ntalla, Niina Pitkänen, Anubha Mahajan, Elisabeth M. van Leeuwen, Raimo Joro, Vasiliki Lagou, Michael Nodzenski, Louise A. Diver, Krina T. Zondervan, Mariona Bustamante, Pedro Marques-Vidal, Josep M. Mercader, Amanda J. Bennett, Nilufer Rahmioglu, Dale R. Nyholt, Ronald C. W. Ma, Claudia H. T. Tam, Wing Hung Tam, Santhi K. Ganesh, Frank J. A. van Rooij, Samuel E. Jones, Po-Ru Loh, Katherine S. Ruth, Marcus A. Tuke, Jessica Tyrrell, Andrew R. Wood, Hanieh Yaghootkar, Denise M. Scholtens, Lavinia Paternoster, Inga Prokopenko, Peter Kovacs, Mustafa Atalay, Sara M. Willems, Kalliope Panoutsopoulou, Xu Wang, Lisbeth Carstensen, Frank Geller, Katharina E. Schraut, Mario Murcia, Catharina E. M. van Beijsterveldt, Gonneke Willemsen, Emil V. R. Appel, Cilius E. Fonvig, Caecilie Trier, Carla M. T. Tiesler, Marie Standl, Zoltán Kutalik, Sílvia Bonàs-Guarch, David M. Hougaard, Friman Sánchez, David Torrents, Johannes Waage, Mads V. Hollegaard, Hugoline G. de Haan, Frits R. Rosendaal, Carolina Medina-Gomez, Susan M. Ring, Gibran Hemani, George McMahon, Neil R. Robertson, Christopher J. Groves, Claudia Langenberg, Jian’an Luan, Robert A. Scott, Jing Hua Zhao, Frank D. Mentch, Scott M. MacKenzie, Rebecca M. Reynolds, William L. Lowe, Anke Tönjes, Michael Stumvoll, Virpi Lindi, Timo A. Lakka, Cornelia M. van Duijn, Wieland Kiess, Antje Körner, Thorkild I. A. Sørensen, Harri Niinikoski, Katja Pahkala, Olli T. Raitakari, Eleftheria Zeggini, George V. Dedoussis, Yik-Ying Teo, Seang-Mei Saw, Mads Melbye, Harry Campbell, James F. Wilson, Martine Vrijheid, Eco J. C. N. de Geus, Dorret I. Boomsma, Haja N. Kadarmideen, Jens-Christian Holm, Torben Hansen, Sylvain Sebert, Andrew T. Hattersley, Lawrence J. Beilin, John P. Newnham, Craig E. Pennell, Joachim Heinrich, Linda S. Adair, Judith B. Borja, Karen L. Mohlke, Johan G. Eriksson, Elisabeth Widén, Mika Kähönen, Jorma S. Viikari, Terho Lehtimäki, Peter Vollenweider, Klaus Bønnelykke, Hans Bisgaard, Dennis O. Mook-Kanamori, Albert Hofman, Fernando Rivadeneira, André G. Uitterlinden, Charlotta Pisinger, Oluf Pedersen, Christine Power, Elina Hyppönen, Nicholas J. Wareham, Hakon Hakonarson, Eleanor Davies, Brian R. Walker, Vincent W. V. Jaddoe, Marjo-Riitta Järvelin, Struan F. A. Grant, Allan A. Vaag, Debbie A. Lawlor, Timothy M. Frayling, George Davey Smith, Andrew P. Morris, Ken K. Ong, Janine F. Felix, Nicholas J. Timpson, John R. B. Perry, David M. Evans, Mark I. McCarthy, Rachel M. Freathy

Abstract

Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease. These life-course associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW (P < 5 × 10(-8)). Overall, approximately 15% of variance in BW was captured by assays of fetal genetic variation. Using genetic association alone, we found strong inverse genetic correlations between BW and systolic blood pressure (Rg = -0.22, P = 5.5 × 10(-13)), T2D (Rg = -0.27, P = 1.1 × 10(-6)) and coronary artery disease (Rg = -0.30, P = 6.5 × 10(-9)). In addition, using large -cohort datasets, we demonstrated that genetic factors were the major contributor to the negative covariance between BW and future cardiometabolic risk. Pathway analyses indicated that the protein products of genes within BW-associated regions were enriched for diverse processes including insulin signalling, glucose homeostasis, glycogen biosynthesis and chromatin remodelling. There was also enrichment of associations with BW in known imprinted regions (P = 1.9 × 10(-4)). We demonstrate that life-course associations between early growth phenotypes and adult cardiometabolic disease are in part the result of shared genetic effects and identify some of the pathways through which these causal genetic effects are mediated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 317 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 608 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 2 <1%
Switzerland 1 <1%
Australia 1 <1%
Sweden 1 <1%
Finland 1 <1%
Netherlands 1 <1%
India 1 <1%
Korea, Republic of 1 <1%
Other 2 <1%
Unknown 594 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 120 20%
Student > Ph. D. Student 99 16%
Student > Master 63 10%
Student > Bachelor 52 9%
Professor > Associate Professor 29 5%
Other 116 19%
Unknown 129 21%
Readers by discipline Count As %
Medicine and Dentistry 130 21%
Agricultural and Biological Sciences 96 16%
Biochemistry, Genetics and Molecular Biology 88 14%
Nursing and Health Professions 21 3%
Neuroscience 14 2%
Other 94 15%
Unknown 165 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 332. 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 17 March 2023.
All research outputs
#100,982
of 25,589,756 outputs
Outputs from Nature
#6,969
of 98,331 outputs
Outputs of similar age
#2,098
of 330,913 outputs
Outputs of similar age from Nature
#154
of 1,016 outputs
Altmetric has tracked 25,589,756 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,331 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done particularly well, scoring higher than 92% 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 330,913 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 99% of its contemporaries.
We're also able to compare this research output to 1,016 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.