MixFit: Methodology for Computing Ancestry-Related Genetic Scores at the Individual Level and Its Application to the Estonian and Finnish Population Studies-Reference-Cited by-同舟云学术

MixFit: Methodology for Computing Ancestry-Related Genetic Scores at the Individual Level and Its Application to the Estonian and Finnish Population Studies

Published:2017-01-20 Issue:1 Volume:12 Page:e0170325
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Haller Toomas^ORCID,Leitsalu Liis,Fischer Krista,Nuotio Marja-Liisa,Esko Tõnu,Boomsma Dorothea Irene,Kyvik Kirsten Ohm,Spector Tim D.,Perola Markus,Metspalu Andres

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference31 articles.

1. Geographic population structure analysis of worldwide human populations infers their biogeographical origins;E Elhaik;Nat Commun,2014

2. Genes mirror geography within Europe;J Novembre;Nature,2008

3. The genetic history of Ice Age Europe;Q Fu;Nature,2016

4. Ancestry and disease in the age of genomic medicine;CN Rotimi;N Engl J Med,2010

5. Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases;R Chen;PLoS Genet,2012

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of Estonian Biobank Data and Participant Recall to Improve Wilson’s Disease Management;2024-04-19

2. Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort;The American Journal of Human Genetics;2022-01

3. Prevalence of congenital cryptorchidism in Estonia;Andrology;2021-11-12

4. High-resolution portability of 245 polygenic scores when derived and applied in the same cohort;2021-02-08

5. Community‐based genetic study of Parkinson's disease in Estonia;Acta Neurologica Scandinavica;2020-08-20