Evidence map›Paper›PMID 24708091›Full record

ArticleBMC genomics2014

Exome capture from saliva produces high quality genomic and metagenomic data.

Jeffrey M Kidd, Thomas J Sharpton, Dean Bobo, Paul J Norman, Alicia R Martin, Meredith L Carpenter, Martin Sikora, Christopher R Gignoux, Neda Nemat-Gorgani, Alexandra Adams and 12 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

22 citing papers in PubMed, 46 citations in OpenAlex.

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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

22 authors at 8 institutions in 3 countries.

Jeffrey M Kidd
Thomas J Sharpton
Dean Bobo
Paul J Norman
Alicia R Martin
Meredith L Carpenter
Martin Sikora
Christopher R Gignoux
Neda Nemat-Gorgani
Alexandra Adams
Moraima Guadalupe
Xiaosen Guo
Qiang Feng
Yingrui Li
Xiao Liu
Peter Parham
Eileen G Hoal
Marcus W Feldman
Katherine S Pollard
Jeffrey D Wall
Carlos D Bustamante
Brenna M HennDepartment of Genetics, Stanford University, Stanford, CA 94305, USA. brenna.henn@stonybrook.edu.
Stanford University · USBGI Group (China) · CNUniversity of California, San Francisco · USStony Brook University · USAgilent Technologies (United States) · USOregon State University · USStellenbosch University · ZAUniversity of Michigan–Ann Arbor · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
GENETICS TRAINING PROGRAM FOR PHD CANDIDATEST32GM007790 · NIGMS · STANFORD UNIVERSITY · PI BRUNET, ANNE, KINGSLEY, DAVID M · 1985 to 2020
$12.8M
PHARMACEUTICAL SCIENCES AND PHARMACOGENOMICST32GM007175 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, KROETZ, DEANNA L · 1985 to 2021
$7.1M
STRUCTURAL BIOLOGY OF HLA-A,B ANTIGENSR01AI017892 · NIAID · STANFORD UNIVERSITY · PI PARHAM, PETER R · 1985 to 2019
$6.1M
Population Genetic Inferences From Dense Genotype DataR01HG003229 · NHGRI · CORNELL UNIVERSITY ITHACA · PI BUSTAMANTE, CARLOS DANIEL, CLARK, ANDREW G · 2004 to 2013
$4.8M
Characterizing the Global Architecture of Genomic DiversityDP5OD009154 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KIDD, JEFFREY M · 2011 to 2015
$1.9M
STRUCTURAL BIOLOGY OF HLA-A/B ANTIGENSR37AI017892 · NIAID · STANFORD UNIVERSITY · PI PARHAM, PETER R · 1989 to 1998
–
NHGRI NIH HHS R01HG003229NHGRI NIH HHS R01HG400409NHGRI NIH HHS T32 HG000044NHGRI NIH HHS T32HG000044NIAID NIH HHS AI17892NIAID NIH HHS R01 AI017892NIGMS NIH HHS GM007790NIGMS NIH HHS T32GM007175NIGMS NIH HHS T32 GM007790NIH HHS 1DP5OD009154NIH HHS DP5 OD009154
6 · The paper itself

Abstract

backgroundTargeted capture of genomic regions reduces sequencing cost while generating higher coverage by allowing biomedical researchers to focus on specific loci of interest, such as exons. Targeted capture also has the potential to facilitate the generation of genomic data from DNA collected via saliva or buccal cells. DNA samples derived from these cell types tend to have a lower human DNA yield, may be degraded from age and/or have contamination from bacteria or other ambient oral microbiota. However, thousands of samples have been previously collected from these cell types, and saliva collection has the advantage that it is a non-invasive and appropriate for a wide variety of research.

resultsWe demonstrate successful enrichment and sequencing of 15 South African KhoeSan exomes and 2 full genomes with samples initially derived from saliva. The expanded exome dataset enables us to characterize genetic diversity free from ascertainment bias for multiple KhoeSan populations, including new exome data from six HGDP Namibian San, revealing substantial population structure across the Kalahari Desert region. Additionally, we discover and independently verify thirty-one previously unknown KIR alleles using methods we developed to accurately map and call the highly polymorphic HLA and KIR loci from exome capture data. Finally, we show that exome capture of saliva-derived DNA yields sufficient non-human sequences to characterize oral microbial communities, including detection of bacteria linked to oral disease (e.g. Prevotella melaninogenica). For comparison, two samples were sequenced using standard full genome library preparation without exome capture and we found no systematic bias of metagenomic information between exome-captured and non-captured data.

conclusionsDNA from human saliva samples, collected and extracted using standard procedures, can be used to successfully sequence high quality human exomes, and metagenomic data can be derived from non-human reads. We find that individuals from the Kalahari carry a higher oral pathogenic microbial load than samples surveyed in the Human Microbiome Project. Additionally, rare variants present in the exomes suggest strong population structure across different KhoeSan populations.

Indexed as

ExomeGenomicsMetagenomicsGenome, HumanGenotypeHigh-Throughput Nucleotide SequencingHLA AntigensHumansMicrobiotaMolecular Sequence DataMouthPolymorphism, Single NucleotideQuantitative Trait LociReceptors, KIRSalivaHLA AntigensReceptors, KIR

Identifiers

PMID24708091
PMCPMC4051168
OpenAlexW2160511389

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.