Evidence map›Paper›PMID 22607156›Full record

ArticleBMC genomics2012

Exome sequencing generates high quality data in non-target regions.

Yan Guo, Jirong Long, Jing He, Chung-I Li, Qiuyin Cai, Xiao-Ou Shu, Wei Zheng, Chun Li

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

100 citing papers in PubMed, 1 synthesis or guideline pooled it, 152 citations in OpenAlex.

  1. Guideline
  2. Journal of the American Heart Association · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Characterization of a novel deep-intronic variant inCold Spring Harbor molecular case studies · 2022
    Article
  20. Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Yan GuoCenter for Quantitative Sciences, Vanderbilt Ingram Cancer Center, Nashville, TN, USA.
Jirong Long
Jing He
Chung-I Li
Qiuyin Cai
Xiao-Ou Shu
Wei Zheng
Chun Li
Vanderbilt University · USVanderbilt-Ingram Cancer Center

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jin Chen · 1995 to 2026
$172.8M
Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
Genetic Factors for Breast Cancer- A genome Wide StudyR01CA124558 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2008 to 2012
$3.1M
Breast Cancer Survival: Lifestyle and Genetic DeterminantsR01CA118229 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2007 to 2010
$2.9M
Genome-wide Copy Number Variation and Breast Cancer RiskR01CA137013 · NCI · VANDERBILT UNIVERSITY · PI LONG, JIRONG · 2009 to 2012
$2.4M
Developing Statistical Methods for Disease Gene DiscoveryR01HG004517 · NHGRI · VANDERBILT UNIVERSITY · PI LI, CHUN, LI, MINGYAO · 2008 to 2012
$1.9M
COMPUTERIZED PAIN REPORT &NURSING PAIN CONSULT PROTOCOR01CA062477 · NCI · UNIVERSITY OF WASHINGTON · PI WILKIE, DIANA J · 1999 to 2001
$875k
NCI NIH HHS P30CA68485NCI NIH HHS R01 CA118229NCI NIH HHS R01CA118229NCI NIH HHS R01CA124558NCI NIH HHS R01CA137013NCI NIH HHS R01CA62477NCI NIH HHS R01CA64277NHGRI NIH HHS R01HG004517
6 · The paper itself

Abstract

backgroundExome sequencing using next-generation sequencing technologies is a cost efficient approach to selectively sequencing coding regions of human genome for detection of disease variants. A significant amount of DNA fragments from the capture process fall outside target regions, and sequence data for positions outside target regions have been mostly ignored after alignment.

resultWe performed whole exome sequencing on 22 subjects using Agilent SureSelect capture reagent and 6 subjects using Illumina TrueSeq capture reagent. We also downloaded sequencing data for 6 subjects from the 1000 Genomes Project Pilot 3 study. Using these data, we examined the quality of SNPs detected outside target regions by computing consistency rate with genotypes obtained from SNP chips or the Hapmap database, transition-transversion (Ti/Tv) ratio, and percentage of SNPs inside dbSNP. For all three platforms, we obtained high-quality SNPs outside target regions, and some far from target regions. In our Agilent SureSelect data, we obtained 84,049 high-quality SNPs outside target regions compared to 65,231 SNPs inside target regions (a 129% increase). For our Illumina TrueSeq data, we obtained 222,171 high-quality SNPs outside target regions compared to 95,818 SNPs inside target regions (a 232% increase). For the data from the 1000 Genomes Project, we obtained 7,139 high-quality SNPs outside target regions compared to 1,548 SNPs inside target regions (a 461% increase).

conclusionsThese results demonstrate that a significant amount of high quality genotypes outside target regions can be obtained from exome sequencing data. These data should not be ignored in genetic epidemiology studies.

Indexed as

Genome, HumanSequence Analysis, DNAAdultBreast NeoplasmsCase-Control StudiesExomeFemaleGenotypeHapMap ProjectHumansOligonucleotide Array Sequence AnalysisPilot ProjectsPolymorphism, Single Nucleotide

Identifiers

PMID22607156
PMCPMC3416685
OpenAlexW2015759847

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.