Evidence map›Paper›PMID 20406911›Full record

ArticleBioinformatics (Oxford, England)2010

Inferring combined CNV/SNP haplotypes from genotype data.

Shu-Yi Su, Julian E Asher, Marjo-Riita Jarvelin, Phillipe Froguel, Alexandra I F Blakemore, David J Balding, Lachlan J M Coin

Abstract read
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Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

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25citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Detecting Somatic Mutations in Normal Cells.Trends in genetics : TIG · 2018
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A sequential Monte Carlo framework for haplotype inference in CNV/SNP genotype data.EURASIP journal on bioinformatics & systems biology · 2014
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shu-Yi SuDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College, London W2 1PG, UK.
Julian E Asher
Marjo-Riita Jarvelin
Phillipe Froguel
Alexandra I F Blakemore
David J Balding
Lachlan J M Coin

Funding

Genetics of cardiovascular risk factors in large founder population birth controlR01HL087679 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HIRSCHHORN, JOEL N · 2007 to 2009
$4.0M
Whole Genome Assoc. Analysis Strategies for Multi. PhenotypesRL1MH083268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2007 to 2011
$2.1M
Medical Research Council G0600331Medical Research Council G0600705NHLBI NIH HHS 5R01HL087679-02NHLBI NIH HHS R01 HL087679NIMH NIH HHS 1RL1MH083268-01NIMH NIH HHS RL1 MH083268Wellcome TrustWellcome Trust G069224
6 · The paper itself

Abstract

motivationCopy number variations (CNVs) are increasingly recognized as an substantial source of individual genetic variation, and hence there is a growing interest in investigating the evolutionary history of CNVs as well as their impact on complex disease susceptibility. CNV/SNP haplotypes are critical for this research, but although many methods have been proposed for inferring integer copy number, few have been designed for inferring CNV haplotypic phase and none of these are applicable at genome-wide scale. Here, we present a method for inferring missing CNV genotypes, predicting CNV allelic configuration and for inferring CNV haplotypic phase from SNP/CNV genotype data. Our method, implemented in the software polyHap v2.0, is based on a hidden Markov model, which models the joint haplotype structure between CNVs and SNPs. Thus, haplotypic phase of CNVs and SNPs are inferred simultaneously. A sampling algorithm is employed to obtain a measure of confidence/credibility of each estimate.

resultsWe generated diploid phase-known CNV-SNP genotype datasets by pairing male X chromosome CNV-SNP haplotypes. We show that polyHap provides accurate estimates of missing CNV genotypes, allelic configuration and CNV haplotypic phase on these datasets. We applied our method to a non-simulated dataset-a region on Chromosome 2 encompassing a short deletion. The results confirm that polyHap's accuracy extends to real-life datasets. AVAILABILITY: Our method is implemented in version 2.0 of the polyHap software package and can be downloaded from http://www.imperial.ac.uk/medicine/people/l.coin.

Indexed as

DNA Copy Number VariationsGenotypeHaplotypesPolymorphism, Single NucleotideAllelesChromosomes, Human, Pair 2Genome, HumanHumansMale

Identifiers

PMID20406911
PMCPMC2913665

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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.