The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians

Young Jin Kim, Sanghoon Moon, Mi Yeong Hwang, Sohee Han, Hye-Mi Jang, Jinhwa Kong, Dong Mun Shin, Kyungheon Yoon, Sung Min Kim, Jong-Eun Lee, Anubha Mahajan, Hyun-Young Park, Mark I. McCarthy, Yoon Shin Cho () and Bong-Jo Kim ()
Additional contact information
Young Jin Kim: National Institute of Health
Sanghoon Moon: National Institute of Health
Mi Yeong Hwang: National Institute of Health
Sohee Han: National Institute of Health
Hye-Mi Jang: National Institute of Health
Jinhwa Kong: National Institute of Health
Dong Mun Shin: National Institute of Health
Kyungheon Yoon: National Institute of Health
Sung Min Kim: National Institute of Health
Jong-Eun Lee: DNALink
Anubha Mahajan: Genentech, 1 DNA Way
Hyun-Young Park: National Institute of Health
Mark I. McCarthy: Genentech, 1 DNA Way
Yoon Shin Cho: Hallym University
Bong-Jo Kim: National Institute of Health

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract Metabolic traits are heritable phenotypes widely-used in assessing the risk of various diseases. We conduct a genome-wide association analysis (GWAS) of nine metabolic traits (including glycemic, lipid, liver enzyme levels) in 125,872 Korean subjects genotyped with the Korea Biobank Array. Following meta-analysis with GWAS from Biobank Japan identify 144 novel signals (MAF ≥ 1%), of which 57.0% are replicated in UK Biobank. Additionally, we discover 66 rare (MAF

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-022-34163-2 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34163-2

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-34163-2

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().