Back

The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Chen, J.

2020-07-25 genetics
10.1101/2020.07.23.217646 bioRxiv
Show abstract

Glycaemic traits are used to diagnose and monitor type 2 diabetes, and cardiometabolic health. To date, most genetic studies of glycaemic traits have focused on individuals of European ancestry. Here, we aggregated genome-wide association studies in up to 281,416 individuals without diabetes (30% non-European ancestry) with fasting glucose, 2h-glucose post-challenge, glycated haemoglobin, and fasting insulin data. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P<5x10-8), 80% with no significant evidence of between-ancestry heterogeneity. Analyses restricted to European ancestry individuals with equivalent sample size would have led to 24 fewer new loci. Compared to single-ancestry, equivalent sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Nature Genetics
240 papers in training set
Top 0.1%
40.9%
2
Nature Communications
4913 papers in training set
Top 16%
10.8%
50% of probability mass above
3
Nature
575 papers in training set
Top 4%
7.4%
4
Cell
370 papers in training set
Top 3%
5.0%
5
Cell Genomics
162 papers in training set
Top 0.9%
4.5%
6
Science
429 papers in training set
Top 8%
3.7%
7
The American Journal of Human Genetics
206 papers in training set
Top 2%
2.4%
8
Nature Metabolism
56 papers in training set
Top 0.9%
2.4%
9
Diabetologia
36 papers in training set
Top 0.5%
2.0%
10
Genome Medicine
154 papers in training set
Top 5%
1.5%
11
Science Translational Medicine
111 papers in training set
Top 3%
1.5%
12
Cell Reports
1338 papers in training set
Top 28%
1.3%
13
Nature Aging
51 papers in training set
Top 1%
1.1%
14
Cell Metabolism
49 papers in training set
Top 2%
0.9%
15
Nature Medicine
117 papers in training set
Top 4%
0.8%
16
EMBO Molecular Medicine
85 papers in training set
Top 4%
0.8%
17
Nature Human Behaviour
85 papers in training set
Top 4%
0.8%
18
eLife
5422 papers in training set
Top 56%
0.8%
19
Science Advances
1098 papers in training set
Top 32%
0.7%
20
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 46%
0.7%
21
Human Molecular Genetics
130 papers in training set
Top 4%
0.7%
22
Diabetes
53 papers in training set
Top 0.8%
0.5%
23
Diabetes Care
12 papers in training set
Top 0.3%
0.5%
24
Molecular Cell
308 papers in training set
Top 11%
0.5%