http://www.cnr.it/ontology/cnr/individuo/prodotto/ID194550
Genotype calling and haplotyping in parent-offspring trios. (Articolo in rivista)
- Type
- Label
- Genotype calling and haplotyping in parent-offspring trios. (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Alternative label
Chen W, Li B, Zeng Z, Sanna S, Sidore C, Busonero F, Kang HM, Li Y, Abecasis GR. (2012)
Genotype calling and haplotyping in parent-offspring trios.
in Genome research
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Chen W, Li B, Zeng Z, Sanna S, Sidore C, Busonero F, Kang HM, Li Y, Abecasis GR. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.ncbi.nlm.nih.gov/pubmed/23064751 (literal)
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1
Division of Pediatric Pulmonary Medicine, Allergy and Immunology, Department of Pediatrics, Children's Hospital of Pittsburgh
of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224, USA;
2
Department of Biostatistics,
University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania 15224, USA;
3
The Center for Human Genetics Research,
Department of Molecular Physiology & Biophysics, and Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232,
USA;
4
Istituto di Ricerca Genetica e Biomedica, Centro Nazionale di Ricerca (CNR), Monserrato, Cagliari 09042, Italy;
5
Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48105, USA;
6
Dipartimento di Scienze Biomediche, Universita` di Sassari, Sardinia 07100, Italy;
7
Department of Genetics, Department
of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA (literal)
- Titolo
- Genotype calling and haplotyping in parent-offspring trios. (literal)
- Abstract
- Emerging sequencing technologies allow common and rare variants to be systematically assayed across the human genome in many individuals. In order to improve variant detection and genotype calling, raw sequence data are typically examined across many individuals. Here, we describe a method for genotype calling in settings where sequence data are available for unrelated individuals and parent-offspring trios and show that modeling trio information can greatly increase the accuracy of inferred genotypes and haplotypes, especially on low to modest depth sequencing data. Our method considers both linkage disequilibrium (LD) patterns and the constraints imposed by family structure when assigning individual genotypes and haplotypes. Using simulations, we show that trios provide higher genotype calling accuracy across the frequency spectrum, both overall and at hard-to-call heterozygous sites. In addition, trios provide greatly improved phasing accuracy-improving the accuracy of downstream analyses (such as genotype imputation) that rely on phased haplotypes. To further evaluate our approach, we analyzed data on the first 508 individuals sequenced by the SardiNIA sequencing project. Our results show that our method reduces the genotyping error rate by 50% compared with analysis using existing methods that ignore family structure. We anticipate our method will facilitate genotype calling and haplotype inference for many ongoing sequencing projects. (literal)
- Prodotto di
- Autore CNR
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