Medicine and HealthNature Communications

Whole-genome sequencing in 333,100 individuals reveals rare non-coding single variant and aggregate associations with height

G. Hawkes, R. N. Beaumont, et al.

Discover how a comprehensive analysis involving 333,100 participants uncovered 29 rare variants linked to height, revealing effects from -7 cm to +4.7 cm. This cutting-edge research sheds light on non-coding variants near *HMGA1* and *MIR497HG*, providing new insights into genetic influences on complex traits, conducted by a multidisciplinary team of experts.... show more

General Summary Metrics

Abstract

To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100 individuals from three datasets: UK Biobank (N = 200,003), TOPMed (N = 87,652) and All of Us (N = 45,445). We tested rare (<0.1% minor-allele-frequency) single variants and aggregates of non-coding variants in regulatory regions based on proximal-regulatory, intergenic-regulatory and deep-intronic annotation. We observed 29 independent variants associated with height at P < 6×10^-10 after conditioning on previously reported variants, with effect sizes ranging from -7 cm to +4.7 cm. We also identified and replicated non-coding aggregate-based associations proximal to HMGA1 containing variants associated with a 5 cm taller height and of highly conserved variants in MIR497HG on chromosome 17. These results demonstrate an approach for identifying non-coding rare variants in regulatory regions from WGS data associated with complex traits.

Publisher

Nature Communications

Published On

Oct 03, 2024

Authors

Gareth Hawkes, Robin N. Beaumont, Zilin Li, Ravi Mandla, Xihao Li, Christine M. Albert, Donna K. Arnett, Allison E. Ashley-Koch, Aneel A. Ashrani, Kathleen C. Barnes, Eric Boerwinkle, Jennifer A. Brody, April P. Carson, Nathalie Chami, Yii-Der Ida Chen, Mina K. Chung, Joanne E. Curran, Dawood Darbar, Patrick T. Ellinor, Myrian Fornage, Victor R. Gordeuk, Xiuqing Guo, Jiang He, Chii-Min Hwu, Rita R. Kalyan, Robert Kaplan, Sharon L. R. Kardia, Charles Kooperberg, Ruth J. F. Loos, Steven A. Lubitz, Ryan L. Minster, Take Naseri, Satupa'itea Viali, Braxton D. Mitchell, Joanne M. Murabito, Nicholette D. Palmer, Bruce M. Psaty, Susan Redline, M. Benjamin Shoemaker, Edwin K. Silverman, Marilyn J. Telen, Scott T. Weiss, Lisa R. Yanek, Hufeng Zhou, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ching-Ti Liu, Kari E. North, Anne E. Justice, Jonathan M. Locke, Nick Owens, Anna Murray, Kashyap Patel, Timothy M. Frayling, Caroline F. Wright, Andrew R. Wood, Xihong Lin, Alisa Manning, Michael N. Weedon

DOI

https://doi.org/10.1038/s41467-024-52579-w

Explore these studies to deepen your understanding

Adjacent work that informs or extends this paper's methodology and findings.

Medicine and Health

Whole-genome sequencing reveals novel ethnicity-specific rare variants associated with Alzheimer’s disease

D. Shigemizu, Y. Asanomi, et al.

Biology

Single-cell RNA sequencing reveals shared and distinct immune responses in Kawasaki disease and COVID-19

X. Liu, T. Luo, et al.

Biology

Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo

D. Lähnemann, J. Köster, et al.

Veterinary Science

Single-cell RNA sequencing reveals the cellular and molecular heterogeneity of treatment-naïve primary osteosarcoma in dogs

D. T. Ammons, L. S. Hopkins, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 22+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny