Evidence map›Paper›PMID 23296920›Full record

ArticleGenome research2013

An integrative variant analysis pipeline for accurate genotype/haplotype inference in population NGS data.

Yi Wang, James Lu, Jin Yu, Richard A Gibbs, Fuli Yu

Abstract read
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 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  10. Genotype calling and haplotype inference from low coverage sequence data in heterozygous plant genome using HetMap.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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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.

Yi WangHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.
James Lu
Jin Yu
Richard A Gibbs
Fuli Yu

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Filling the data processing gap for exon-region specific data from 1000 GenomesU01HG005211 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2009 to 2012
$1.3M
HIGH THROUGHPUT SEQUENCING OF AUTISM SPECTRUM DISORDER (ASD) ENDOPHENOTYPESF30MH098571 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI LU, JAMES T · 2012 to 2014
$119k
NHGRI NIH HHS 2U54HG003273NHGRI NIH HHS 5U01HG005211NHGRI NIH HHS U01 HG005211NHGRI NIH HHS U54 HG003273NIMH NIH HHS F30 MH098571
6 · The paper itself

Abstract

Next-generation sequencing is a powerful approach for discovering genetic variation. Sensitive variant calling and haplotype inference from population sequencing data remain challenging. We describe methods for high-quality discovery, genotyping, and phasing of SNPs for low-coverage (approximately 5×) sequencing of populations, implemented in a pipeline called SNPTools. Our pipeline contains several innovations that specifically address challenges caused by low-coverage population sequencing: (1) effective base depth (EBD), a nonparametric statistic that enables more accurate statistical modeling of sequencing data; (2) variance ratio scoring, a variance-based statistic that discovers polymorphic loci with high sensitivity and specificity; and (3) BAM-specific binomial mixture modeling (BBMM), a clustering algorithm that generates robust genotype likelihoods from heterogeneous sequencing data. Last, we develop an imputation engine that refines raw genotype likelihoods to produce high-quality phased genotypes/haplotypes. Designed for large population studies, SNPTools' input/output (I/O) and storage aware design leads to improved computing performance on large sequencing data sets. We apply SNPTools to the International 1000 Genomes Project (1000G) Phase 1 low-coverage data set and obtain genotyping accuracy comparable to that of SNP microarray.

Indexed as

GenotypeHaplotypesAlgorithmsBase SequenceHigh-Throughput Nucleotide SequencingHuman Genome ProjectHumansPolymorphism, Single Nucleotide

Identifiers

PMID23296920
PMCPMC3638139

What OpenQuestion holds

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LicenceCC BY-NC
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.