Evidence map›Paper›PMID 29477192›Full record

ReviewThe Journal of investigative dermatology2018

Research Techniques Made Simple: Using Genome-Wide Association Studies to Understand Complex Cutaneous Disorders.

Lam C Tsoi, Matthew T Patrick, James T Elder

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Journal of investigative dermatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Lam C TsoiDepartment of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: alextsoi@umich.edu.
Matthew T PatrickDepartment of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
James T ElderDepartment of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Ann Arbor Veterans Affairs Hospital, Ann Arbor, Michigan, USA. Electronic address: jelder@med.umich.edu.
University of Michigan–Ann Arbor · USVeterans Health Administration · US

Funding

Linkage analysis of familial psoriasis(Supplement)R01AR042742 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELDER, JAMES TILFORD · 1994 to 2021
$10.1M
Genetic and Genomic Dissection of Psoriatic ArthritisR01AR063611 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELDER, JAMES TILFORD, GLADMAN, DAFNA D · 2012 to 2023
$6.2M
Identification of Psoriatic Arthritis Genes in the MHCR01AR050511 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELDER, JAMES TILFORD · 2004 to 2013
$4.2M
Combined Analysis of Gene Expression and DNA Variation in PsoriasisR01AR054966 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELDER, JAMES TILFORD · 2007 to 2011
$3.2M
Functional Genomics of PsoriasisR01AR065183 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELDER, JAMES TILFORD · 2013 to 2016
$1.7M
Integrative Biology Approach to Identify and Characterize Roles of lncRNAs Associated with Psoriasis PathologyK01AR072129 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TSOI, LAM CHEUNG · 2017 to 2021
$500k
NIAMS NIH HHS K01 AR072129NIAMS NIH HHS R01 AR042742NIAMS NIH HHS R01 AR050511NIAMS NIH HHS R01 AR054966NIAMS NIH HHS R01 AR063611NIAMS NIH HHS R01 AR065183
6 · The paper itself

Abstract

Complex cutaneous disorders result from the combined effect of many different genes and environmental factors, with individual genetic variants often having only a modest effect on disease risk. The ability to examine large numbers of samples is required for correlating genetic variants with diseases/traits. Technological advances in high-throughput genotyping, along with mapping of the human genome and its associated inter-individual variation, have allowed genetic variants to be analyzed at high density in large case-control cohorts for many diseases, including several major skin diseases. These genome-wide association studies focus on showing differences in the frequencies of variants between case and control groups, rather than co-transmission of a variant and disease through a family, as is done in linkage studies. In this review, we provide overall guidance for genome-wide association study analysis and interpreting the results. Additionally, we discuss challenges and future directions for genome-wide association studies, focusing on translation of findings to provide biological and clinical implications for dermatology.

Indexed as

Genome-Wide Association StudyBiomedical ResearchGenetic VariationGenotypeHumansQuality ControlSkin Diseases

Identifiers

PMID29477192
PMCPMC5903459
OpenAlexW2788061122

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.