Abstract: The extent to which low-frequency (minor allele frequency (MAF)
between 1–5%) and rare (MAF#1%) variants contribute to complex
traits and disease in the general population is mainly
unknown. Bone mineral density (BMD) is highly heritable, a major
predictor of osteoporotic fractures, and has been previously associated
with common genetic variants1–8, as well as rare, populationspecific,
coding variants9. Here we identify novel non-coding
genetic variants with large effects on BMD (ntotal553,236) and
fracture (ntotal5508,253) in individuals of European ancestry
from the general population. Associations for BMD were derived
from whole-genome sequencing (n52,882 fromUK10K (ref. 10); a
population-based genome sequencing consortium), whole-exome
sequencing (n 53,549), deep imputation of genotyped samples
using a combined UK10K/1000 Genomes reference panel
(n526,534), and de novo replication genotyping (n 520,271).
We identified a low-frequency non-coding variant near a novel
locus, EN1, with an effect size fourfold larger than the mean of
previously reported common variants for lumbar spine BMD8
(rs11692564(T), MAF51.6%, replication effect size510.20 s.d.,
Pmeta52310214), which was also associated with a decreased risk
of fracture (odds ratio50.85; P52310211; ncases598,742 and
ncontrols5409,511). Using an En1cre/flox mouse model, we observed
that conditional loss of En1 results in low bone mass, probably as a
consequence of high bone turnover. We also identified a novel lowfrequency
non-coding variant with large effects on BMD near
WNT16 (rs148771817(T), MAF51.2%, replication effect size5
10.41 s.d., Pmeta51310211). In general, there was an excess of
association signals arising from deleterious coding and conserved
non-coding variants. These findings provide evidence that
low-frequency non-coding variants have large effects on BMD
and fracture, thereby providing rationale for whole-genome
sequencing and improved imputation reference panels to study
the genetic architecture of complex traits and disease in the general
population.
Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria
Fuente: Nature. 2015 Oct 1; 526(7571):112-7
Editorial: Nature Publishing Group
Fecha de publicación: 01/10/2015
Nº de páginas: 20
Tipo de publicación: Artículo de Revista
DOI: 10.1038/nature14878
ISSN: 0028-0836,1476-4687