59
IRUS TotalDownloads
Altmetric
Exome sequencing of Finnish isolates enhances rare-variant association power
File | Description | Size | Format | |
---|---|---|---|---|
Exome sequencing of Finnish isolates enhances rare-variant association power.pdf | Accepted version | 3.54 MB | Adobe PDF | View/Open |
Title: | Exome sequencing of Finnish isolates enhances rare-variant association power |
Authors: | Locke, AE Steinberg, KM Chiang, CWK Service, SK Havulinna, AS Stell, L Pirinen, M Abel, HJ Chiang, CC Fulton, RS Jackson, AU Kang, CJ Kanchi, KL Koboldt, DC Larson, DE Nelson, J Nicholas, TJ Pietila, A Ramensky, V Ray, D Scott, LJ Stringham, HM Vangipurapu, J Welch, R Yajnik, P Yin, X Eriksson, JG Ala-Korpela, M Jarvelin, M-R Mannikko, M Laivuori, H Dutcher, SK Stitziel, NO Wilson, RK Hall, IM Sabatti, C Palotie, A Salomaa, V Laakso, M Ripatti, S Boehnke, M Freimer, NB |
Item Type: | Journal Article |
Abstract: | Exome-sequencing studies have generally been underpowered to identify deleterious alleles with a large effect on complex traits as such alleles are mostly rare. Because the population of northern and eastern Finland has expanded considerably and in isolation following a series of bottlenecks, individuals of these populations have numerous deleterious alleles at a relatively high frequency. Here, using exome sequencing of nearly 20,000 individuals from these regions, we investigate the role of rare coding variants in clinically relevant quantitative cardiometabolic traits. Exome-wide association studies for 64 quantitative traits identified 26 newly associated deleterious alleles. Of these 26 alleles, 19 are either unique to or more than 20 times more frequent in Finnish individuals than in other Europeans and show geographical clustering comparable to Mendelian disease mutations that are characteristic of the Finnish population. We estimate that sequencing studies of populations without this unique history would require hundreds of thousands to millions of participants to achieve comparable association power. |
Issue Date: | 15-Aug-2019 |
Date of Acceptance: | 2-Jul-2019 |
URI: | http://hdl.handle.net/10044/1/85674 |
DOI: | 10.1038/s41586-019-1457-z |
ISSN: | 0028-0836 |
Publisher: | Nature Research |
Start Page: | 323 |
End Page: | 328 |
Journal / Book Title: | Nature |
Volume: | 572 |
Issue: | 7769 |
Copyright Statement: | © The Author(s), under exclusive licence to Springer Nature Limited 2019. |
Sponsor/Funder: | UNIVERSITY OF OULU |
Funder's Grant Number: | Nil |
Keywords: | Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics GENOME-WIDE ASSOCIATION LOW-FREQUENCY MISSING HERITABILITY CARDIOVASCULAR RISK BLOOD-PRESSURE DISEASE TRAITS CHOLESTEROL POPULATION PREDICTION Alleles Cholesterol, HDL Cluster Analysis Endpoint Determination Finland Genetic Association Studies Genetic Predisposition to Disease Genetic Variation Geographic Mapping Humans Multifactorial Inheritance Quantitative Trait Loci Reproducibility of Results Whole Exome Sequencing FinnGen Project Humans Genetic Predisposition to Disease Endpoint Determination Cluster Analysis Reproducibility of Results Multifactorial Inheritance Alleles Quantitative Trait Loci Finland Cholesterol, HDL Genetic Variation Genetic Association Studies Geographic Mapping Whole Exome Sequencing Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics GENOME-WIDE ASSOCIATION LOW-FREQUENCY MISSING HERITABILITY CARDIOVASCULAR RISK BLOOD-PRESSURE DISEASE TRAITS CHOLESTEROL POPULATION PREDICTION General Science & Technology |
Publication Status: | Published |
Online Publication Date: | 2019-07-31 |
Appears in Collections: | School of Public Health |