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GWAS Study

Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset.

Minică CC, Dolan CV, Hottenga JJ et al.

25987507 PubMed ID
GWAS Study Type
5148 Participants
113 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

MC
Minică CC
DC
Dolan CV
HJ
Hottenga JJ
PR
Pool R
FI
Fedko IO
MH
Mbarek H
HC
Huppertz C
BM
Bartels M
BD
Boomsma DI
VJ
Vink JM
Chapter II

Abstract

Summary of the research findings

Prior searches for genetic variants (GVs) implicated in initiation of cannabis use have been limited to common single nucleotide polymorphisms (SNPs) typed in HapMap samples. Denser SNPs are now available with the completion of the 1000 Genomes and the Genome of the Netherlands projects. More densely distributed SNPs are expected to track the causal variants better. Therefore we extend the search for variants implicated in early stages of cannabis use to previously untagged common and low-frequency variants. We run heritability, SNP and gene-based analyses of initiation and age at onset. This is the first genome-wide study of age at onset to date. Using GCTA and a sample of distantly related individuals from the Netherlands Twin Register, we estimated that the currently measured (and tagged) SNPs collectively explain 25 % of the variance in initiation (SE = 0.088; P = 0.0016). Chromosomes 4 and 18, previously linked with cannabis use and other addiction phenotypes, account for the largest amount of variance in initiation (6.8 %, SE = 0.025, P = 0.002 and 3.6 %, SE = 0.01, P = 0.012, respectively). No individual SNP- or gene-based test reached genomewide significance in the initiation or age at onset analyses. Our study detected association signal in the currently measured SNPs. A comparison with prior SNP-heritability estimates suggests that at least part of the signal is likely coming from previously untyped common and low frequency variants. Our results do not rule out the contribution of rare variants of larger effect-a plausible source of the difference between the twin-based heritability estimate and that from GCTA. The causal variants are likely of very small effect (i.e., <1 % explained variance) and are uniformly distributed over the genome in proportion to chromosomes' length. Similar to other complex traits and diseases, detecting such small effects is to be expected in sufficiently large samples.

5,148 European ancestry users

Chapter III

Study Statistics

Key metrics and study information

5148
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

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