Evidence map›Paper›PMID 29187746›Full record

ArticleTranslational psychiatry2017

Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK Biobank.

David M Howard, Lynsey S Hall, Jonathan D Hafferty, Yanni Zeng, Mark J Adams, Toni-Kim Clarke, David J Porteous, Reka Nagy, Caroline Hayward, Blair H Smith and 7 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 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

17 authors at 5 institutions in 1 country.

David M HowardDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK. D.Howard@ed.ac.uk.ORCID http://orcid.org/0000-0002-6005-1972
Lynsey S HallDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Jonathan D HaffertyDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Yanni ZengDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Mark J AdamsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.ORCID http://orcid.org/0000-0002-3599-6018
Toni-Kim ClarkeDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-1249-6106
Reka NagyMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Caroline HaywardMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9405-9550
Blair H SmithGeneration Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5362-9430
Alison D MurrayGeneration Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Niamh M RyanCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Chris S HaleyMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9811-0210
Ian J DearyGeneration Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Pippa A ThomsonCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4208-5271
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0198-4588
Royal Edinburgh Hospital · GBUniversity of Edinburgh · GBInstitute of Genetics and Cancer · GBUniversity of Aberdeen · GBUniversity of Dundee · GB

Funding

Biotechnology and Biological Sciences Research CouncilChief Scientist OfficeMedical Research Council MC_PC_U127561128Medical Research Council MC_PC_U127592696Medical Research Council MC_QA137853Medical Research Council MR/J000914/1Medical Research Council MR/K026992/1MRF_ C0396Wellcome Trust 104036/Z/14/Z
6 · The paper itself

Abstract

Genome-wide association studies using genotype data have had limited success in the identification of variants associated with major depressive disorder (MDD). Haplotype data provide an alternative method for detecting associations between variants in weak linkage disequilibrium with genotyped variants and a given trait of interest. A genome-wide haplotype association study for MDD was undertaken utilising a family-based population cohort, Generation Scotland: Scottish Family Health Study (n = 18,773), as a discovery cohort with UK Biobank used as a population-based replication cohort (n = 25,035). Fine mapping of haplotype boundaries was used to account for overlapping haplotypes potentially tagging the same causal variant. Within the discovery cohort, two haplotypes exceeded genome-wide significance (P < 5 × 10

Indexed as

Chromosomes, Human, Pair 6AdolescentAdultAgedAged, 80 and overBiological Specimen BanksCohort StudiesFemaleGenome-Wide Association StudyHaplotypesHumansMajor Depressive DisorderMaleMiddle AgedPhenotypeScotland

Identifiers

PMID29187746
PMCPMC5802488
OpenAlexW2769525786

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.