Evidence map›Paper›PMID 31695094›Full record

ArticleScientific reports2019

Empirical design of a variant quality control pipeline for whole genome sequencing data using replicate discordance.

Robert P Adelson, Alan E Renton, Wentian Li, Nir Barzilai, Gil Atzmon, Alison M Goate, Peter Davies, Yun Freudenberg-Hua

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Robert P AdelsonLitwin-Zucker Center for Alzheimer's Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York, 11030, USA.ORCID http://orcid.org/0000-0002-0888-5638
Alan E RentonRonald M. Loeb Center for Alzheimer's Disease and Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.
Wentian LiRobert S. Boas Center for Genomics & Human Genetics, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York, 11030, USA.
Nir BarzilaiRobert S. Boas Center for Genomics & Human Genetics, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York, 11030, USA.
Gil AtzmonInstitute for Aging Research, Albert Einstein College of Medicine, Bronx, New York, 10461, USA.
Alison M GoateRonald M. Loeb Center for Alzheimer's Disease and Departments of Neuroscience, Genetics and Genomic Sciences, and Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.ORCID http://orcid.org/0000-0002-0576-2472
Peter DaviesLitwin-Zucker Center for Alzheimer's Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York, 11030, USA.
Yun Freudenberg-HuaLitwin-Zucker Center for Alzheimer's Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York, 11030, USA. yfreuden@northwell.edu.ORCID http://orcid.org/0000-0003-3398-7270

Funding

Einstein's Nathan Shock Center of Excellence in Basic Biology of AgingP30AG038072 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CUERVO, ANA MARIA · 2010 to 2024
$10.8M
ROLE OF NUTRIENTS IN AGE-RELATED INSULIN RESISTANCEP01AG021654 · NIA · YESHIVA UNIVERSITY · PI BROWNLEE, MICHAEL A · 2003 to 2007
$10.6M
Resilience to Alzheimer's disease in humans with exceptional longevityR01AG057909 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BARZILAI, NIR J, ZHANG, ZHENGDONG · 2017 to 2021
$6.2M
LGP/LongenityR01AG046949 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BARZILAI, NIR J · 2013 to 2017
$2.4M
Epigenetic Profiling in Healthy Aging and Exceptional LongevityR01AG042188 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ATZMON, GIL, BARZILAI, NIR J · 2011 to 2015
$2.0M
Identification of Risk Genes SupplementK08AG054727 · NIA · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI FREUDENBERG-HUA, YUN · 2017 to 2022
$739k
NIA NIH HHS K08 AG054727NIA NIH HHS P01 AG021654NIA NIH HHS P30 AG038072NIA NIH HHS R01 AG042188NIA NIH HHS R01 AG046949NIA NIH HHS R01 AG057909U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) K08AG054727U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) P01 AG 021654U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01 AG 042188U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01 AG 046949U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01 AG 618381
6 · The paper itself

Abstract

The success of next-generation sequencing depends on the accuracy of variant calls. Few objective protocols exist for QC following variant calling from whole genome sequencing (WGS) data. After applying QC filtering based on Genome Analysis Tool Kit (GATK) best practices, we used genotype discordance of eight samples that were sequenced twice each to evaluate the proportion of potentially inaccurate variant calls. We designed a QC pipeline involving hard filters to improve replicate genotype concordance, which indicates improved accuracy of genotype calls. Our pipeline analyzes the efficacy of each filtering step. We initially applied this strategy to well-characterized variants from the ClinVar database, and subsequently to the full WGS dataset. The genome-wide biallelic pipeline removed 82.11% of discordant and 14.89% of concordant genotypes, and improved the concordance rate from 98.53% to 99.69%. The variant-level read depth filter most improved the genome-wide biallelic concordance rate. We also adapted this pipeline for triallelic sites, given the increasing proportion of multiallelic sites as sample sizes increase. For triallelic sites containing only SNVs, the concordance rate improved from 97.68% to 99.80%. Our QC pipeline removes many potentially false positive calls that pass in GATK, and may inform future WGS studies prior to variant effect analysis.

Indexed as

Genotyping TechniquesHigh-Throughput Nucleotide SequencingQuality ControlWhole Genome SequencingAllelesDatabases, GeneticDatasets as TopicGenotypeHumansPolymorphism, Single NucleotideReproducibility of Results

Identifiers

PMID31695094
PMCPMC6834861

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.