Evidence map›Paper›PMID 30342790›Full record

ReviewTrends in genetics : TIG2019

Genomic and Phenomic Research in the 21st Century.

Scott Hebbring

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
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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

1 author at 1 institution in 1 country.

Scott HebbringCenter for Human Genetics, Marshfield Clinic Research Institute, Marshfield, WI 54449, USA. Electronic address: hebbring.scott@marshfieldresearch.org.
Center for Human Genetics · US

Funding

PheWAS of Loss-of-Function VariantsR01GM114128 · NIGMS · MARSHFIELD CLINIC RESEARCH FOUNDATION · PI HEBBRING, SCOTT JOSEPH · 2015 to 2019
$1.7M
Development and Application of Phenome-wide Scan of Heritability (PheSH)K22LM011938 · NLM · MARSHFIELD CLINIC RESEARCH FOUNDATION · PI HEBBRING, SCOTT JOSEPH · 2014 to 2016
$405k
NIGMS NIH HHS R01 GM114128NLM NIH HHS K22 LM011938
6 · The paper itself

Abstract

The field of human genomics has changed dramatically over time. Initial genomic studies were predominantly restricted to rare disorders in small families. Over the past decade, researchers changed course from family-based studies and instead focused on common diseases and traits in populations of unrelated individuals. With further advancements in biobanking, computer science, electronic health record (EHR) data, and more affordable high-throughput genomics, we are experiencing a new paradigm in human genomic research. Rapidly changing technologies and resources now make it possible to study thousands of diseases simultaneously at the genomic level. This review will focus on these advancements as scientists begin to incorporate phenome-wide strategies in human genomic research to understand the etiology of human diseases and develop new drugs to treat them.

Indexed as

Biological Specimen BanksElectronic Health RecordsGenetic Diseases, InbornGenome, HumanGenome-Wide Association StudyGenomicsHumansPhenotypePolymorphism, Single Nucleotidebig databiobankdrug developmentgenome-wide association studyGWASphenome-wide association studyPheWASpleiotropy

Identifiers

PMID30342790
PMCPMC6309501
OpenAlexW2897079130

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.