Identification of proteins associated with type 2 diabetes risk in diverse racial and ethnic populations.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Liu Shuai, Zhu Jingjing, Zhong Hua, Wu Chong, Xue Haoran, Darst Burcu F, Guo Xiuqing, Durda Peter, Tracy Russell P, Liu Yongmei, Johnson W Craig, Taylor Kent D, Manichaikul Ani W, Goodarzi Mark O, Gerszten Robert E, Clish Clary B, Chen Yii-Der Ida, Highland Heather, Haiman Christopher A, Gignoux Christopher R, Lange Leslie, Conti David V, Raffield Laura M, Wilkens Lynne, Marchand Loïc Le, North Kari E, Young Kristin L, Loos Ruth J, Buyske Steve, Matise Tara, Peters Ulrike, Kooperberg Charles, Reiner Alexander P, Yu Bing, Boerwinkle Eric, Sun Quan, Rooney Mary R, Echouffo-Tcheugui Justin B, Daviglus Martha L, Qi Qibin, Mancuso Nicholas, Li Changwei, Deng Youping, Manning Alisa, Meigs James B, Rich Stephen S, Rotter Jerome I, Wu Lang
Аннотация
METHODS: Genome and plasma proteome data from the Multi-Ethnic Study of Atherosclerosis (MESA) study involving 182 African, 69 Asian, 284 Hispanic/Latino and 409 European individuals residing in the USA were used to establish protein prediction models by using potentially associated cis- and trans-SNPs. The models were applied to genome-wide association study summary statistics of 250,127 type 2 diabetes cases and 1,222,941 controls from different racial and ethnic populations.
RESULTS: We identified three, 44 and one protein associated with type 2 diabetes risk in Asian, European and Hispanic/Latino populations, respectively. Meta-analysis identified 40 proteins associated with type 2 diabetes risk across the populations, including well-established as well as novel proteins not yet implicated in type 2 diabetes development.
CONCLUSIONS/INTERPRETATION: Our study improves our understanding of the aetiology of type 2 diabetes in diverse populations.
DATA AVAILABILITY: The summary statistics of multi-ethnic type 2 diabetes GWAS of MVP, DIAMANTE, Biobank Japan and other studies are available from The database of Genotypes and Phenotypes (dbGaP) under accession number phs001672.v3.p1. MESA genetic, proteome and covariate data can be accessed through dbGaP under phs000209.v13.p3. All code is available on GitHub ( https://github.com/Arthur1021/MESA-1K-PWAS ).