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

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 densel...

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Autores principales: Minică, Camelia C., Dolan, Conor V., Hottenga, Jouke-Jan, Pool, René, Fedko, Iryna O., Mbarek, Hamdi, Huppertz, Charlotte, Bartels, Meike, Boomsma, Dorret I., Vink, Jacqueline M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561059/
https://www.ncbi.nlm.nih.gov/pubmed/25987507
http://dx.doi.org/10.1007/s10519-015-9723-9
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author Minică, Camelia C.
Dolan, Conor V.
Hottenga, Jouke-Jan
Pool, René
Fedko, Iryna O.
Mbarek, Hamdi
Huppertz, Charlotte
Bartels, Meike
Boomsma, Dorret I.
Vink, Jacqueline M.
author_facet Minică, Camelia C.
Dolan, Conor V.
Hottenga, Jouke-Jan
Pool, René
Fedko, Iryna O.
Mbarek, Hamdi
Huppertz, Charlotte
Bartels, Meike
Boomsma, Dorret I.
Vink, Jacqueline M.
author_sort Minică, Camelia C.
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10519-015-9723-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-45610592015-09-11 Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset Minică, Camelia C. Dolan, Conor V. Hottenga, Jouke-Jan Pool, René Fedko, Iryna O. Mbarek, Hamdi Huppertz, Charlotte Bartels, Meike Boomsma, Dorret I. Vink, Jacqueline M. Behav Genet Original Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10519-015-9723-9) contains supplementary material, which is available to authorized users. Springer US 2015-05-19 2015 /pmc/articles/PMC4561059/ /pubmed/25987507 http://dx.doi.org/10.1007/s10519-015-9723-9 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Minică, Camelia C.
Dolan, Conor V.
Hottenga, Jouke-Jan
Pool, René
Fedko, Iryna O.
Mbarek, Hamdi
Huppertz, Charlotte
Bartels, Meike
Boomsma, Dorret I.
Vink, Jacqueline M.
Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset
title Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset
title_full Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset
title_fullStr Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset
title_full_unstemmed Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset
title_short Heritability, SNP- and Gene-Based Analyses of Cannabis Use Initiation and Age at Onset
title_sort heritability, snp- and gene-based analyses of cannabis use initiation and age at onset
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561059/
https://www.ncbi.nlm.nih.gov/pubmed/25987507
http://dx.doi.org/10.1007/s10519-015-9723-9
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