Evidence map›Paper›PMID 19668243›Full record

ArticleNature biotechnology2009

Single-molecule sequencing of an individual human genome.

Dmitry Pushkarev, Norma F Neff, Stephen R Quake

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 190 papers.

0numbers the graph read from it
0cells of the map it votes in
190citing papers in PubMed
35.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

190 citing papers in PubMed, 439 citations in OpenAlex.

  1. Omics Technologies-Driven Research and Applications of Synthetic Biology.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Review
  3. From DNA to Big Data: NGS Technologies and Their Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. Utility Analyses of AVITI Sequencing Chemistry.bioRxiv : the preprint server for biology · 2024
    Article
  8. Review
  9. Review
  10. Review
  11. InnovativeFrontiers in genetics · 2022
    Review
  12. Review
  13. Review
  14. Ten Years of EWAS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

130 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Dmitry PushkarevDepartment of Bioengineering, Stanford University and Howard Hughes Medical Institute, Stanford, California, USA.
Norma F Neff
Stephen R Quake
Howard Hughes Medical Institute · USStanford University · US

Funding

NIH Director's Pioneer Award (RMI)DP1OD000251 · OD · STANFORD UNIVERSITY · PI QUAKE, STEPHEN R · 2004 to 2008
$3.9M
NIH HHS DP1 OD000251
6 · The paper itself

Abstract

Recent advances in high-throughput DNA sequencing technologies have enabled order-of-magnitude improvements in both cost and throughput. Here we report the use of single-molecule methods to sequence an individual human genome. We aligned billions of 24- to 70-bp reads (32 bp average) to approximately 90% of the National Center for Biotechnology Information (NCBI) reference genome, with 28x average coverage. Our results were obtained on one sequencing instrument by a single operator with four data collection runs. Single-molecule sequencing enabled analysis of human genomic information without the need for cloning, amplification or ligation. We determined approximately 2.8 million single nucleotide polymorphisms (SNPs) with a false-positive rate of less than 1% as validated by Sanger sequencing and 99.8% concordance with SNP genotyping arrays. We identified 752 regions of copy number variation by analyzing coverage depth alone and validated 27 of these using digital PCR. This milestone should allow widespread application of genome sequencing to many aspects of genetics and human health, including personal genomics.

Indexed as

Genome, HumanComputer SimulationGenomicsHumansPolymorphism, Single NucleotideReproducibility of ResultsSequence Analysis, DNA

Identifiers

PMID19668243
PMCPMC4117198
OpenAlexW2030692069

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.