Evidence map›Paper›PMID 25644447›Full record

ArticleMethods (San Diego, Calif.)2015

On the design and analysis of next-generation sequencing genotyping for a cohort with haplotype-informative reads.

Degui Zhi, Nianjun Liu, Kui Zhang

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Degui ZhiSection on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, United States. Electronic address: dzhi@uab.edu.
Nianjun LiuSection on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, United States.
Kui ZhangSection on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, United States. Electronic address: kzhang@uab.edu.

Funding

Next-Generation Bioinformatics for Next-Generation SequencingR01HG008115 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI YU, FULI, ZHANG, KUI · 2014 to 2016
$1.4M
Genome Wide Haplotype Association AnalysisR01GM081488 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LIU, NIANJUN · 2008 to 2012
$1.3M
NHGRI NIH HHS R01 HG008115NIGMS NIH HHS R01 GM081488
6 · The paper itself

Abstract

Next-generation sequencing (NGS) technologies, which can provide base-pair resolution genetic information for all types of genetic variations, are increasingly used in genetics research. However, due to the complex nature of NGS technologies and analytics and their relatively high cost, investigators face practical challenges for both design and analysis. These challenges are further complicated by recent methodological developments that make it possible to use haplotype information in sequencing reads. In light of these developments, we conducted comprehensive simulations to evaluate the effects of sequencing coverage, insert size of paired-end reads, and sample size on genotype calling and haplotype phasing in NGS studies. In contrast to previous studies that typically use idealized scenarios to tease out the effects of individual design and analytic decisions, we used a complete analytical pipeline from read mapping and variant detection to genotype calling and haplotype phasing so that we can assess the joint effects of multiple decisions and thus make more realistic recommendations to investigators. Consistent with previous studies, we found that the use of haplotype information in reads can improve the accuracy of genotype calling and haplotype phasing, and we also found that a mixture of short and long insert sizes of paired-end reads may offer even greater accuracy. However, this benefit is only clear in high coverage sequencing where variant detection is close to perfect. Finally, we observed that LD-based refinement methods do not always outperform single site based methods for genotype calling. Therefore, we should choose analytical methods that are appropriate to the sequencing coverage and sample size in order to use haplotype information in sequencing reads.

Indexed as

Genotyping TechniquesSequence Analysis, DNAAlgorithmsComputer SimulationGenetic VariationGenotypeHaplotypesGenotype callingHaplotypeHuman geneticsNext-generation sequencingResequencingSimulationStudy design

Identifiers

PMID25644447
PMCPMC4437872

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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.