Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis

Authors

Marijana Vujkovic, VA Medical Center
Jacob M. Keaton, Tennessee Valley Healthcare System
Julie A. Lynch, VA Medical Center
Donald R. Miller, VA Medical Center
Jin Zhou, Carl T. Hayden VA Medical Center
Catherine Tcheandjieu, VA Palo Alto Health Care System
Jennifer E. Huffman, VA Boston Healthcare System
Themistocles L. Assimes, VA Palo Alto Health Care System
Kimberly Lorenz, VA Medical Center
Xiang Zhu, VA Palo Alto Health Care System
Austin T. Hilliard, VA Palo Alto Health Care System
Renae L. Judy, VA Medical Center
Jie Huang, VA Boston Healthcare System
Kyung M. Lee, VA Medical Center
Derek Klarin, VA Boston Healthcare System
Saiju Pyarajan, VA Boston Healthcare System
John Danesh, University of Cambridge
Olle Melander, Institutionen för Kliniska Vetenskaper, Malmö
Asif Rasheed, Center for Non-Communicable Diseases
Nadeem H. Mallick, Punjab Institute of Cardiology Lahore
Shahid Hameed, Punjab Institute of Cardiology Lahore
Irshad H. Qureshi, King Edward Medical University Lahore
Muhammad Naeem Afzal, King Edward Medical University Lahore
Uzma Malik, King Edward Medical University Lahore
Anjum Jalal, Faisalabad Institute of Cardiology
Shahid Abbas, Faisalabad Institute of Cardiology
Xin Sheng, University of Pennsylvania Perelman School of Medicine
Long Gao, University of Pennsylvania Perelman School of Medicine
Klaus H. Kaestner, University of Pennsylvania Perelman School of Medicine
Klaus H. Kaestner, University of Pennsylvania Perelman School of Medicine
Katalin Susztak, University of Pennsylvania Perelman School of Medicine
Yan V. Sun, Atlanta VA Medical Center

Document Type

Journal Article

Publication Date

7-1-2020

Journal

Nature Genetics

Volume

52

Issue

7

DOI

10.1038/s41588-020-0637-y

Abstract

We investigated type 2 diabetes (T2D) genetic susceptibility via multi-ancestry meta-analysis of 228,499 cases and 1,178,783 controls in the Million Veteran Program (MVP), DIAMANTE, Biobank Japan and other studies. We report 568 associations, including 286 autosomal, 7 X-chromosomal and 25 identified in ancestry-specific analyses that were previously unreported. Transcriptome-wide association analysis detected 3,568 T2D associations with genetically predicted gene expression in 687 novel genes; of these, 54 are known to interact with FDA-approved drugs. A polygenic risk score (PRS) was strongly associated with increased risk of T2D-related retinopathy and modestly associated with chronic kidney disease (CKD), peripheral artery disease (PAD) and neuropathy. We investigated the genetic etiology of T2D-related vascular outcomes in the MVP and observed statistical SNP–T2D interactions at 13 variants, including coronary heart disease (CHD), CKD, PAD and neuropathy. These findings may help to identify potential therapeutic targets for T2D and genomic pathways that link T2D to vascular outcomes.

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