Evidence map›Paper›PMID 26268606›Full record

ArticleBMC genomics2015

Analysis of archived residual newborn screening blood spots after whole genome amplification.

Brandi L Cantarel, Yunping Lei, Daniel Weaver, Huiping Zhu, Andrew Farrell, Graeme Benstead-Hume, Justin Reese, Richard H Finnell

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Ethical and Psychosocial Implications of Genomic Newborn Screening.International journal of neonatal screening · 2021
    Article
  2. Combining newborn metabolic and DNA analysis for second-tier testing of methylmalonic acidemia.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  3. Article
  4. Article
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.

Brandi L CantarelBaylor Health, Baylor Institute for Immunology Research, 3434 Live Oak Street, Dallas, TX, 75204, USA. brandi.cantarel@baylorhealth.edu.
Yunping LeiDepartment of Nutritional Sciences, Dell Pediatric Research Institute, The University of Texas at Austin, 1400 Barbara Jordan Blvd, Austin, TX, 78723, USA. yunping@austin.utexas.edu.
Daniel WeaverGenformatic, 6301 Highland Hills Drive, Austin, TX, 78731, USA. dbeeweaver@gmail.com.
Huiping ZhuDepartment of Nutritional Sciences, Dell Pediatric Research Institute, The University of Texas at Austin, 1400 Barbara Jordan Blvd, Austin, TX, 78723, USA. zhuhuiping@hotmail.com.
Andrew FarrellDepartment of Biology, Boston College, Boston, MA, 02467, USA. andrew.farrell@bc.edu.
Graeme Benstead-HumeDepartment of Biology, Boston College, Boston, MA, 02467, USA. graemebh@gmail.com.
Justin Reese
Richard H FinnellDepartment of Nutritional Sciences, Dell Pediatric Research Institute, The University of Texas at Austin, 1400 Barbara Jordan Blvd, Austin, TX, 78723, USA. rfinnell@austin.utexas.edu.

Funding

Risk Genes and Environment Interactions in NTDsP01HD067244 · NICHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI ROSS, MARGARET ELIZABETH · 2011 to 2020
$12.6M
Epigenome Interactions in Complex Neurogenetic DisordersR01NS076465 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASON, CHRISTOPHER EDWARD, ROSS, MARGARET ELIZABETH · 2011 to 2015
$5.8M
Study of Neural Tube Defects Etiology: Genome and ExposomeR01ES021006 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI FINNELL, RICHARD H., MASON, CHRISTOPHER EDWARD · 2012 to 2014
$1.0M
NICHD NIH HHS P01 HD067244NICHD NIH HHS P01HD067244NIEHS NIH HHS R01 ES021006NIEHS NIH HHS R01ES021006NINDS NIH HHS NS076465NINDS NIH HHS R01 NS076465
6 · The paper itself

Abstract

backgroundDeidentified newborn screening bloodspot samples (NBS) represent a valuable potential resource for genomic research if impediments to whole exome sequencing of NBS deoxyribonucleic acid (DNA), including the small amount of genomic DNA in NBS material, can be overcome. For instance, genomic analysis of NBS could be used to define allele frequencies of disease-associated variants in local populations, or to conduct prospective or retrospective studies relating genomic variation to disease emergence in pediatric populations over time. In this study, we compared the recovery of variant calls from exome sequences of amplified NBS genomic DNA to variant calls from exome sequencing of non-amplified NBS DNA from the same individuals.

resultsUsing a standard alignment-based Genome Analysis Toolkit (GATK), we find 62,000-76,000 additional variants in amplified samples. After application of a unique kmer enumeration and variant detection method (RUFUS), only 38,000-47,000 additional variants are observed in amplified gDNA. This result suggests that roughly half of the amplification-introduced variants identified using GATK may be the result of mapping errors and read misalignment.

conclusionsOur results show that it is possible to obtain informative, high-quality data from exome analysis of whole genome amplified NBS with the important caveat that different data generation and analysis methods can affect variant detection accuracy, and the concordance of variant calls in whole-genome amplified and non-amplified exomes.

Indexed as

ExomePolymorphism, Single NucleotideComputational BiologyDried Blood Spot TestingGenome, HumanHumansInfant, NewbornNeonatal ScreeningSequence Analysis, DNA

Identifiers

PMID26268606
PMCPMC4535253

What OpenQuestion holds

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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.