Evidence map›Paper›PMID 22807667›Full record

ArticlePLoS computational biology2012

Efficiency and power as a function of sequence coverage, SNP array density, and imputation.

Jason Flannick, Joshua M Korn, Pierre Fontanillas, George B Grant, Eric Banks, Mark A Depristo, David Altshuler

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. The inflammatory gene pathway is not a major contributor to polycystic ovary snydrome.The Journal of clinical endocrinology and metabolism · 2014
    Article
  9. Article
  10. Article
  11. Absence of GenomicInternational journal of molecular medical science · 2013
    Article
  12. Article
  13. Article
  14. Article
  15. Review
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

7 authors.

Jason FlannickBroad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Joshua M Korn
Pierre Fontanillas
George B Grant
Eric Banks
Mark A Depristo
David Altshuler

Funding

TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0M
Joint SNP and CNV calling in 1000 Genomes sequence dataU01HG005208 · NHGRI · BROAD INSTITUTE, INC. · PI DALY, MARK JOSEPH · 2009 to 2010
$7.1M
NHGRI NIH HHS U01 HG005208NHGRI NIH HHS U01HG005208NIGMS NIH HHS 5-T32-GM007748-33NIGMS NIH HHS T32 GM007748
6 · The paper itself

Abstract

High coverage whole genome sequencing provides near complete information about genetic variation. However, other technologies can be more efficient in some settings by (a) reducing redundant coverage within samples and (b) exploiting patterns of genetic variation across samples. To characterize as many samples as possible, many genetic studies therefore employ lower coverage sequencing or SNP array genotyping coupled to statistical imputation. To compare these approaches individually and in conjunction, we developed a statistical framework to estimate genotypes jointly from sequence reads, array intensities, and imputation. In European samples, we find similar sensitivity (89%) and specificity (99.6%) from imputation with either 1× sequencing or 1 M SNP arrays. Sensitivity is increased, particularly for low-frequency polymorphisms (MAF < 5%), when low coverage sequence reads are added to dense genome-wide SNP arrays--the converse, however, is not true. At sites where sequence reads and array intensities produce different sample genotypes, joint analysis reduces genotype errors and identifies novel error modes. Our joint framework informs the use of next-generation sequencing in genome wide association studies and supports development of improved methods for genotype calling.

Indexed as

Polymorphism, Single NucleotideAlgorithmsCluster AnalysisDatabases, GeneticGenome-Wide Association StudyGenomicsGenotypeHumansOligonucleotide Array Sequence AnalysisSensitivity and SpecificitySequence Analysis, DNAWhite People

Identifiers

PMID22807667
PMCPMC3395607

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.