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FinnGen provides genetic insights from a well-phenotyped isolated population.

Authors :
Kurki, Mitja I.
Karjalainen, Juha
Palta, Priit
Sipilä, Timo P.
Kristiansson, Kati
Donner, Kati M.
Reeve, Mary P.
Laivuori, Hannele
Aavikko, Mervi
Kaunisto, Mari A.
Loukola, Anu
Lahtela, Elisa
Mattsson, Hannele
Laiho, Päivi
Della Briotta Parolo, Pietro
Lehisto, Arto A.
Kanai, Masahiro
Mars, Nina
Rämö, Joel
Kiiskinen, Tuomo
Source :
Nature; Jan2023, Vol. 613 Issue 7944, p508-518, 11p
Publication Year :
2023

Abstract

Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≤ minor allele frequency < 5%). These variants survived the founding bottleneck rather than being distributed over a large number of ultrarare variants. Although this effect is well established in Mendelian genetics, its value in common disease genetics is less explored1,2. FinnGen aims to study the genome and national health register data of 500,000 Finnish individuals. Given the relatively high median age of participants (63 years) and the substantial fraction of hospital-based recruitment, FinnGen is enriched for disease end points. Here we analyse data from 224,737 participants from FinnGen and study 15 diseases that have previously been investigated in large genome-wide association studies (GWASs). We also include meta-analyses of biobank data from Estonia and the United Kingdom. We identified 30 new associations, primarily low-frequency variants, enriched in the Finnish population. A GWAS of 1,932 diseases also identified 2,733 genome-wide significant associations (893 phenome-wide significant (PWS), P < 2.6 × 10<superscript>–11</superscript>) at 2,496 (771 PWS) independent loci with 807 (247 PWS) end points. Among these, fine-mapping implicated 148 (73 PWS) coding variants associated with 83 (42 PWS) end points. Moreover, 91 (47 PWS) had an allele frequency of <5% in non-Finnish European individuals, of which 62 (32 PWS) were enriched by more than twofold in Finland. These findings demonstrate the power of bottlenecked populations to find entry points into the biology of common diseases through low-frequency, high impact variants.Genome-wide association studies of individuals from an isolated population (data from the Finnish biobank study FinnGen) and consequent meta-analyses facilitate the identification of previously unknown coding variant associations for both rare and common diseases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00280836
Volume :
613
Issue :
7944
Database :
Complementary Index
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
161384259
Full Text :
https://doi.org/10.1038/s41586-022-05473-8