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  5. A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity

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Article
en
2019

A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity

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en
2019
Vol 28 (19)
Vol. 28
DOI: 10.1093/hmg/ddz161

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Paul M Ridker
Paul M Ridker

Harvard University

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Jonathan P. Bradfield
Suzanne Vogelezang
Janine F. Felix
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Abstract

Abstract Although hundreds of genome-wide association studies-implicated loci have been reported for adult obesity-related traits, less is known about the genetics specific for early-onset obesity and with only a few studies conducted in non-European populations to date. Searching for additional genetic variants associated with childhood obesity, we performed a trans-ancestral meta-analysis of 30 studies consisting of up to 13 005 cases (≥95th percentile of body mass index (BMI) achieved 2–18 years old) and 15 599 controls (consistently <50th percentile of BMI) of European, African, North/South American and East Asian ancestry. Suggestive loci were taken forward for replication in a sample of 1888 cases and 4689 controls from seven cohorts of European and North/South American ancestry. In addition to observing 18 previously implicated BMI or obesity loci, for both early and late onset, we uncovered one completely novel locus in this trans-ancestral analysis (nearest gene, METTL15). The variant was nominally associated with only the European subgroup analysis but had a consistent direction of effect in other ethnicities. We then utilized trans-ancestral Bayesian analysis to narrow down the location of the probable causal variant at each genome-wide significant signal. Of all the fine-mapped loci, we were able to narrow down the causative variant at four known loci to fewer than 10 single nucleotide polymorphisms (SNPs) (FAIM2, GNPDA2, MC4R and SEC16B loci). In conclusion, an ethnically diverse setting has enabled us to both identify an additional pediatric obesity locus and further fine-map existing loci.

How to cite this publication

Jonathan P. Bradfield, Suzanne Vogelezang, Janine F. Felix, Alessandra Chesi, Øyvind Helgeland, Momoko Horikoshi, Ville Karhunen, Estelle Lowry, Diana L. Cousminer, Tarunveer S. Ahluwalia, Elisabeth Thiering, Eileen Tai-hui Boh, Mohammad Hadi Zafarmand, Natàlia Vilor‐Tejedor, Carol A. Wang, Raimo Joro, Zhanghua Chen, W. James Gauderman, Niina Pitkänen, Esteban J. Parra, Lindsay Fernández‐Rhodes, Akram Alyass, Claire Monnereau, John A. Curtin, Henri Theil, Shana E. McCormack, Mette Hollensted, Christine Frithioff‐Bøjsøe, Adán Valladares‐Salgado, Jesús Peralta‐Romero, Yik‐Ying Teo, Marie Standl, Jaakko T. Leinonen, Jens‐Christian Holm, Triinu Peters, Jesús Vioqué, Martine Vrijheid, Angela Simpson, Adnan Ćustović, Marc Vaudel, Mickaël Canouil, Virpi Lindi, Mustafa Atalay, Mika Kähönen, Olli T. Raitakari, Barbera D. C. van Schaik, Robert I. Berkowitz, Shelley A. Cole, V. Saroja Voruganti, Yujie Wang, Heather M. Highland, Anthony G. Comuzzie, Nancy F. Butte, Anne E. Justice, Sheila Gahagan, Estela Blanco, Terho Lehtimäki, Timo A. Lakka, Johannes Hebebrand, Amélie Bonnefond, Niels Grarup, Philippe Froguel, Leo‐Pekka Lyytikäinen, Miguel Cruz, Sayuko Kobes, Robert L. Hanson, Babette S. Zemel, Anke Hinney, Koon Teo, David Meyre, Kari E. North, Frank D Gilliland, Hans Bisgaard, Mariona Bustamante, Klaus Bønnelykke, Craig E. Pennell, Fernando Rivadeneira, André G. Uitterlinden, Leslie J. Baier, Tanja G. M. Vrijkotte, Joachim Heinrich, T. I. A. Sørensen, Seang‐Mei Saw, Oluf Pedersen, Torben Hansen, Johan G. Eriksson, Elisabeth Widén, Mark I McCarthy, Pål R. Njølstad, Christopher Power, Elina Hyppönen, Sylvain Sebért, Christopher D. Brown, Paul M Ridker, Nicholas J. Timpson, Stefan Johansson, Hákon Hákonarson, Vincent W.V. Jaddoe (2019). A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity. , 28(19), DOI: https://doi.org/10.1093/hmg/ddz161.

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Publication Details

Type

Article

Year

2019

Authors

98

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1093/hmg/ddz161

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