Evidence map›Paper›PMID 29193773›Full record

ReviewGenes, brain, and behavior2018

Post-genomic behavioral genetics: From revolution to routine.

D G Ashbrook, M K Mulligan, R W Williams

Open access · hybridAbstract readReview
In one paragraph

Review in Genes, brain, and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Impact of Genetic Variation on Stress-Related Ethanol Consumption.Alcoholism, clinical and experimental research · 2019
    Article
  3. 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

3 authors at 1 institution in 1 country.

D G AshbrookDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Sciences Center, College of Medicine, Memphis, Tennessee.ORCID 0000-0002-7397-8910
M K MulliganDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Sciences Center, College of Medicine, Memphis, Tennessee.ORCID 0000-0003-4909-635X
R W WilliamsDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Sciences Center, College of Medicine, Memphis, Tennessee.ORCID 0000-0001-8924-4447
University of Tennessee Health Science Center · US

Funding

Systems Genetics of Alcohol Response and Stress Effects in CNSU01AA013499 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2002 to 2016
$4.8M
TIM Project NIDA P30 CenterP30DA044223 · NIDA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SABA, LAURA MAREN · 2017 to 2021
$3.9M
A Unified High Performance Web Service for Systems Genetics and Precision MedicineR01GM123489 · NIGMS · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI PRINS, PJOTR, SEN, SAUNAK · 2017 to 2024
$3.7M
INIA-STRESS: Informatics and Analysis CoreU01AA016662 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI WILLIAMS, ROBERT W. · 2007 to 2016
$2.9M
NIAAA NIH HHS U01 AA013499NIAAA NIH HHS U01 AA016662NIDA NIH HHS P30 DA044223NIGMS NIH HHS R01 GM123489
6 · The paper itself

Abstract

What was once expensive and revolutionary-full-genome sequence-is now affordable and routine. Costs will continue to drop, opening up new frontiers in behavioral genetics. This shift in costs from the genome to the phenome is most notable in large clinical studies of behavior and associated diseases in cohorts that exceed hundreds of thousands of subjects. Examples include the Women's Health Initiative (www.whi.org), the Million Veterans Program (www. RESEARCH: va.gov/MVP), the 100 000 Genomes Project (genomicsengland.co.uk) and commercial efforts such as those by deCode (www.decode.com) and 23andme (www.23andme.com). The same transition is happening in experimental neuro- and behavioral genetics, and sample sizes of many hundreds of cases are becoming routine (www.genenetwork.org, www.mousephenotyping.org). There are two major consequences of this new affordability of massive omics datasets: (1) it is now far more practical to explore genetic modulation of behavioral differences and the key role of gene-by-environment interactions. Researchers are already doing the hard part-the quantitative analysis of behavior. Adding the omics component can provide powerful links to molecules, cells, circuits and even better treatment. (2) There is an acute need to highlight and train behavioral scientists in how best to exploit new omics approaches. This review addresses this second issue and highlights several new trends and opportunities that will be of interest to experts in animal and human behaviors.

Indexed as

AnimalsChromosome MappingGenetics, BehavioralGenomicsGenotypeHigh-Throughput Nucleotide SequencingHumansPhenotypeQuantitative Trait Locibehaviorcomplex traitsgenomicsGWASomicsPheWASQTL mappingquantitative trait locusreverse geneticssystems genetics

Identifiers

PMID29193773
PMCPMC5876106
OpenAlexW2771053955

What Socratic 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 Socratic graph.