Evidence map›Paper›PMID 30864324›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2019

Precision Medicine: Improving health through high-resolution analysis of personal data.

Steven E Brenner, Martha Bulyk, Dana C Crawford, Jill P Mesirov, Alexander A Morgan, Predrag Radivojac

Abstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

6 authors.

Steven E BrennerUniversity of California, Berkeley, USA†Supported by U41 HG007346 and U19 HD077627.
Martha Bulyk
Dana C Crawford
Jill P Mesirov
Alexander A Morgan
Predrag Radivojac

Funding

Sequencing of Newborn Blood Spot DNA to Improve and Expand Newborn ScreeningU19HD077627 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOENIG, BARBARA A., KWOK, PUI-YAN · 2013 to 2018
$6.6M
Component 2 - Resource ProjectU41HG007346 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRENNER, STEVEN E · 2015 to 2017
$1.7M
NHGRI NIH HHS U41 HG007346NICHD NIH HHS U19 HD077627
6 · The paper itself

Abstract

For the 2019 Pacific Symposium on Biocomputing's session on precision medicine, we present new research on computational techniques in range of areas including data curation, whole genome analysis, transcriptomics, microbiome profiling, EHR data-mining, and histological image processing.

Identifiers

PMID30864324
PMCPMC6526370

What OpenQuestion holds

Textmetadata
LicenceTDM
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.