Evidence map›Paper›PMID 27902751›Full record

ArticlePloS one2016

Exploration of a Polygenic Risk Score for Alcohol Consumption: A Longitudinal Analysis from the ALSPAC Cohort.

Michelle Taylor, Andrew J Simpkin, Philip C Haycock, Frank Dudbridge, Luisa Zuccolo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 28 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

5 authors at 2 institutions in 1 country.

Michelle TaylorMRC Integrative Epidemiology Unit at the University of Bristol (IEU), University of Bristol, Bristol, United Kingdom.ORCID http://orcid.org/0000-0002-1849-8543
Andrew J SimpkinMRC Integrative Epidemiology Unit at the University of Bristol (IEU), University of Bristol, Bristol, United Kingdom.
Philip C HaycockMRC Integrative Epidemiology Unit at the University of Bristol (IEU), University of Bristol, Bristol, United Kingdom.
Frank DudbridgeDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Luisa ZuccoloMRC Integrative Epidemiology Unit at the University of Bristol (IEU), University of Bristol, Bristol, United Kingdom.
University of Bristol · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Cancer Research UK 20138Medical Research Council G0902144Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/5Medical Research Council MR/K006215/1Medical Research Council MR/L011824/1Wellcome Trust
6 · The paper itself

Abstract

backgroundUncertainty remains about the true extent by which alcohol consumption causes a number of health outcomes. Genetic variants, or combinations of variants built into a polygenic risk score (PGRS), can be used in an instrumental variable framework to assess causality between a phenotype and disease outcome of interest, a method known as Mendelian randomisation (MR). We aimed to identify genetic variants involved in the aetiology of alcohol consumption, and develop a PGRS for alcohol.

methodsRepeated measures of alcohol consumption from mothers and their offspring were collected as part of the Avon Longitudinal Study of Parents and Children. We tested the association between 89 SNPs (identified from either published GWAS data or from functional literature) and repeated measures of alcohol consumption, separately in mothers (from ages 28-48) and offspring (from ages 15-21) who had ever reported drinking. We modelled log units of alcohol using a linear mixed model and calculated beta coefficients for each SNP separately. Cross-validation was used to determine an allelic score for alcohol consumption, and the AVENGEME algorithm employed to estimate variance of the trait explained.

resultsFollowing correction for multiple testing, one SNP (rs1229984) showed evidence for association with alcohol consumption (β = -0.177, SE = 0.042, p = <0.0001) in the mothers. No SNPs showed evidence for association in the offspring after correcting for multiple testing. The optimal allelic score was generated using p-value cut offs of 0.5 and 0.05 for the mothers and offspring respectively. These scores explained 0.3% and 0.7% of the variance.

conclusionOur PGRS explains a modest amount of the variance in alcohol consumption and larger sample sizes would be required to use our PGRS in an MR framework.

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAlcohol DrinkingFemaleHumansLongitudinal StudiesMalePolymorphism, Single NucleotideYoung Adult

Identifiers

PMID27902751
PMCPMC5130278
OpenAlexW2559453701

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.