Evidence map›Paper›PMID 23233546›Full record

ArticleGenome research2013

Genotype imputation via matrix completion.

Eric C Chi, Hua Zhou, Gary K Chen, Diego Ortega Del Vecchyo, Kenneth Lange

Abstract readComparative Study
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. svt: Singular Value Thresholding in MATLAB.Journal of statistical software · 2017
    Article
  9. Article
  10. In silico methods for drug repurposing and pharmacology.Wiley interdisciplinary reviews. Systems biology and medicine · 2016
    Review
  11. Article
  12. Structured Matrix Completion with Applications to Genomic Data Integration.Journal of the American Statistical Association · 2016
    Article
  13. Matrix Completion Discriminant Analysis.Computational statistics & data analysis · 2015
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A Brief Survey of Modern Optimization for Statisticians.International statistical review = Revue internationale de statistique · 2014
    Article
  20. Article
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

5 authors.

Eric C ChiDepartment of Human Genetics, University of California, Los Angeles, CA 90095, USA. ecchi@ucla.edu
Hua Zhou
Gary K Chen
Diego Ortega Del Vecchyo
Kenneth Lange

Funding

STATISTICAL METHODS FOR GENE MAPPINGR01GM053275 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGE, KENNETH L · 1995 to 2019
$9.3M
Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
NHGRI NIH HHS HG006139NHGRI NIH HHS R01 HG006139NIGMS NIH HHS GM53275NIGMS NIH HHS R01 GM053275
6 · The paper itself

Abstract

Most current genotype imputation methods are model-based and computationally intensive, taking days to impute one chromosome pair on 1000 people. We describe an efficient genotype imputation method based on matrix completion. Our matrix completion method is implemented in MATLAB and tested on real data from HapMap 3, simulated pedigree data, and simulated low-coverage sequencing data derived from the 1000 Genomes Project. Compared with leading imputation programs, the matrix completion algorithm embodied in our program MENDEL-IMPUTE achieves comparable imputation accuracy while reducing run times significantly. Implementation in a lower-level language such as Fortran or C is apt to further improve computational efficiency.

Indexed as

Artificial IntelligenceGenotypeModels, GeneticSoftwareAlgorithmsComputer SimulationGenome, HumanHapMap ProjectHumansMicroarray AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID23233546
PMCPMC3589539

What OpenQuestion holds

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LicenceCC BY-NC
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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.