Cited 17 time in
- Title
- Genomic architecture of inflammatory bowel disease in five families with multiple affected individuals
- Author(s)
- A B Stittrich; J Ashworth; M Shi; M Robinson; D Mauldin; M E Brunkow; S Biswas; J M Kim; Ki Sun Kwon; J U Jung; D Galas; K Serikawa; R H Duerr; S L Guthery; J Peschon; L Hood; J C Roach; G Glusman
- Bibliographic Citation
- Human Genome Variation, vol. 3, pp. 15060-15060
- Publication Year
- 2016
- Abstract
- Currently, the best clinical predictor for inflammatory bowel disease (IBD) is family history. Over 163 sequence variants have been
associated with IBD in genome-wide association studies, but they have weak effects and explain only a fraction of the observed
heritability. It is expected that additional variants contribute to the genomic architecture of IBD, possibly including rare variants
with effect sizes larger than the identified common variants. Here we applied a family study design and sequenced 38 individuals
from five families, under the hypothesis that families with multiple IBD-affected individuals harbor one or more risk variants that
(i) are shared among affected family members, (ii) are rare and (iii) have substantial effect on disease development. Our analysis
revealed not only novel candidate risk variants but also high polygenic risk scores for common known risk variants in four out of the
five families. Functional analysis of our top novel variant in the remaining family, a rare missense mutation in the ubiquitin ligase
TRIM11, suggests that it leads to increased nuclear factor of kappa light chain enhancer in B-cells (NF-κB) signaling. We conclude
that an accumulation of common weak-effect variants accounts for the high incidence of IBD in most, but not all families we
analyzed and that a family study design can identify novel rare variants conferring risk for IBD with potentially large effect size, such
as the TRIM11 p.H414Y mutation.
- ISSN
- 2054-345X
- Publisher
- Nature Publishing Group
- Full Text Link
- http://dx.doi.org/10.1038/hgv.2015.60
- Type
- Article
- Appears in Collections:
- Aging Convergence Research Center > 1. Journal Articles
- Files in This Item:
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