Cited by 23Genetic Associations and EpidemiologyGenomics and Rare DiseasesGenomics and Chromatin Dynamics

Interpreting noncoding genetic variation in complex traits and human disease

Ward, Lucas D, Kellis, Manolis·2012·Nature Biotechnology

Abstract

Association studies provide genome-wide information about the genetic basis of complex disease, but medical research has focused primarily on protein-coding variants, owing to the difficulty of interpreting noncoding mutations. This picture has changed with advances in the systematic annotation of functional noncoding elements. Evolutionary conservation, functional genomics, chromatin state, sequence motifs and molecular quantitative trait loci all provide complementary information about the function of noncoding sequences. These functional maps can help with prioritizing variants on risk haplotypes, filtering mutations encountered in the clinic and performing systems-level analyses to reveal processes underlying disease associations. Advances in predictive modeling can enable data-set integration to reveal pathways shared across loci and alleles, and richer regulatory models can guide the search for epistatic interactions. Lastly, new massively parallel reporter experiments can systematically validate regulatory predictions. Ultimately, advances in regulatory and systems genomics can help unleash the value of whole-genome sequencing for personalized genomic risk assessment, diagnosis and treatment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nbt.2422

Cites

199 of 199 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Most disease-associated genetic variation lies in non-coding regions enriched for regulatory elements that control expression and splicing of target genes.

    “The majority of disease-associated genetic variation lies in non-coding regions (7) enriched for non-coding RNAs and cis regulatory elements that regulate gene expression and splicing of their cognate coding gene targets (8, 9).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ward, L. D., & Kellis, M.
Affiliations
  • MIT Computer Science and Artificial Intelligence Laboratory (US)
  • Broad Institute (US)
Corresponding author
  • Ward, Lucas D
  • Kellis, Manolis
Venue
Nature Biotechnology
Published
2012-11
Volume
30
Issue
11
Pages
1095-1106
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W1595121045
Cited by
6
References
198
Citations by year
2023: 2 · 2022: 1 · 2019: 1 · 2014: 2
FWCI
0.08
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • PMC
Funders
National Human Genome Research Institute (RC1HG005334, R01HG004037)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
Keywords
complex traits, human disease, regulatory elements, evolutionary conservation, chromatin state, sequence motifs, quantitative trait loci, risk haplotype, variant prioritization, epistasis, massively parallel reporter assay, systems genomics
MeSH terms
Animals, Chromosome Mapping, Genetic Testing, Humans, Genetic Variation, Sequence Analysis, DNA, Genetic Predisposition to Disease, RNA, Untranslated, Quantitative Trait Loci

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review