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GEnetic Factors for OSteoporosis Consortium

Summary:

GEFOS stands for the GEnetic Factors for OSteoporosis Consortium. It is a large international collaboration involving various prominent research groups.

Osteoporosis is a common age-related complex disease with a strong genetic component. Osteoporotic fractures account for considerable disease burden and costs. The genes responsible, however, are poorly defined. It is by now generally assumed that - like for many other complex diseases such as diabetes and cardiovascular disease - many gene variants are responsible but each with subtle effect. In a previous EU FP5 funded project, named GENOMOS, we have improved on this situation by bringing together several of Europe's largest collections of osteoporosic study populations with DNA available, and analysing the most commonly studied.

With the GEFOS project we here propose to capitalize on the success of GENOMOS by using the most advanced gene discovery tools that have become recently available, i.e., Genome Wide Association (GWA) analysis with high density SNP arrays, to identify common risk gene variants for osteoporosis.

Resources:

Databases

  • GEFOS GWAS: Summary Statistics ( Database )

    "The GEnetic Factors for OSteoporosis (GEFOS) Consortium is a large international collaboration comprising numerous prominent research groups. Osteoporosis is a common age-related complex disease with a strong genetic component. Osteoporotic fractures account for considerable disease burden and costs. The GEFOS.seq project used meta-analysis of whole genome sequencing, whole exome sequencing and deep imputation of genotype data to identify low-frequency and rare variants associated with risk of osteoporosis. Three (3) DXA-derived traits are included in this data release: Femoral Neck bone mineral density (BMD) (FN-BMD), Lumbar Spine BMD (LS-BMD), and Forearm BMD (FA-BMD)."


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Last updated: 2016-07-11T19:13:42.437-04:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016