Cited by 647Genomics and Rare DiseasesGenetic Associations and EpidemiologyEvolution and Genetic Dynamics

An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people

Open access
Nelson, Matthew R., Wegmann, Daniel, Ehm, Margaret G., Kessner, Darren, St. Jean, Pamela, Verzilli, Claudio, Shen, Judong, Tang, Zhengzheng +23 more·2012·Science

Abstract

A Deep Look Into Our Genes: Recent debates have focused on the degree of genetic variation and its impact upon health at the genomic level in humans (see the Perspective by Casals and Bertranpetit ). Tennessen et al. (p. 64 , published online 17 May), looking at all of the protein-coding genes in the human genome, and Nelson et al. (p. 100 , published online 17 May), looking at genes that encode drug targets, address this question through deep sequencing efforts on samples from multiple individuals. The findings suggest that most human variation is rare, not shared between populations, and that rare variants are likely to play a role in human health.

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 · 10.1126/science.1217876

Cites

83 of 83 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?

  • Common genetic variants generally have small effects on disease risk (OR <1.15), while rare variants typically have larger effect sizes (>2.0), are more likely deleterious, and tend to be removed by natural selection.

    “Given what we know now, common variants generally have small effects on disease risk (OR <1.15), and rare variants typically have larger effect sizes (>2.0), are more likely to be deleterious, and tend to be removed by natural selection (Fu et al., 2013; Nelson et al., 2012; Zeng et al., 2018).”

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

Research works printed but not linked: 1

  1. [11]Muller HJ Am J Hum Genet 2 111 1950 14771033 PMC1716299

Cited by

Sorted by citations

Authors
Nelson, M. R., Wegmann, D., Ehm, M. G., Kessner, D., St. Jean, P., Verzilli, C., Shen, J., Tang, Z., Bacanu, S.-A., Fraser, D., Warren, L., Aponte, J., Zawistowski, M., Liu, X., Zhang, H., Zhang, Y., Li, J., Li, Y., Li, L., Woollard, P., Topp, S., Hall, M. D., Nangle, K., Wang, J., Abecasis, G., Cardon, L. R., Zöllner, S., Whittaker, J. C., Chissoe, S. L., Novembre, J., & Mooser, V.
Affiliations
  • GlaxoSmithKline (United States) (US)
  • University of California, Los Angeles (US)
  • Department of Quantitative Sciences, GlaxoSmithKline (GSK), Research Triangle Park, NC 27709, USA.
  • GlaxoSmithKline (United Kingdom) (GB)
  • Department of Genetics and Biostatistics, University of North Carolina–Chapel Hill, Chapel Hill, NC 27599, USA.
  • University of Michigan (US)
  • BGI Group (China) (CN)
  • University of North Carolina at Chapel Hill (US)
Venue
Science
Published
2012-07-06
Volume
337
Issue
6090
Pages
100-104
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1982516282
Cited by
647
References
83
Citations by year
2026: 7 · 2025: 14 · 2024: 11 · 2023: 11 · 2022: 20 · 2021: 23 · 2020: 29 · 2019: 31 · 2018: 42 · 2017: 44 · 2016: 80 · 2015: 70 · 2014: 97 · 2013: 122 · 2012: 46
FWCI
64.37
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
Funders
National Human Genome Research Institute (U01HG006513, T32HG002536)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
Keywords
rare variants, drug target genes, population growth, purifying selection, deleterious mutations, mutation rate, human genetic variation
MeSH terms
Black or African American, Disease, Gene Frequency, Geography, Humans, Pharmacogenetics, Phenotype, Population Growth, Selection, Genetic, Genetic Variation, Genome, Human, Sample Size, Genetic Predisposition to Disease, Multifactorial Inheritance, Polymorphism, Single Nucleotide, White People, Asian People, Genetic Association Studies, Molecular Targeted Therapy, High-Throughput Nucleotide Sequencing, Mutation Rate

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