Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism

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Abstract

Neuroticism is a relatively stable personality trait characterized by negative emotionality (for example, worry and guilt) 1 ; heritability estimated from twin studies ranges from 30 to 50% 2 , and SNP-based heritability ranges from 6 to 15% 3-6 . Increased neuroticism is associated with poorer mental and physical health 7,8 , translating to high economic burden 9 . Genome-wide association studies (GWAS) of neuroticism have identified up to 11 associated genetic loci 3,4 . Here we report 116 significant independent loci from a GWAS of neuroticism in 329,821 UK Biobank participants; 15 of these loci replicated at P < 0.00045 in an unrelated cohort (N = 122,867). Genetic signals were enriched in neuronal genesis and differentiation pathways, and substantial genetic correlations were found between neuroticism and depressive symptoms (r g = 0.82, standard error (s.e.) = 0.03), major depressive disorder (MDD; r g = 0.69, s.e. = 0.07) and subjective well-being (r g = -0.68, s.e. = 0.03) alongside other mental health traits. These discoveries significantly advance understanding of neuroticism and its association with MDD.

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Most cited references 27

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GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.

Cornelius Rietveld, Sarah E. Medland, Jaime Derringer … (2013)

A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) ≈ 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for ≈2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.

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Heritability of personality: A meta-analysis of behavior genetic studies.

Tena Vukasović, Denis Bratko (2015)

The aim of this meta-analysis was to systematize available findings in the field of personality heritability and test for possible moderator effects of study design, type of personality model, and gender on heritability estimates. Study eligibility criteria were: personality model, behavior genetic study design, self-reported data, essential statistical indicators, and independent samples. A total of 134 primary studies with 190 potentially independent effect sizes were identified. After exclusion of studies that did not meet inclusion criteria and/or met 1 of the exclusion criteria, the final sample included 62 independent effect sizes, representing more than 100,000 participants of both genders and all ages. Data analyses were performed using the random-effects model, software program R package metafor. The average effect size was .40, indicating that 40% of individual differences in personality were due to genetic, while 60% are due to environmental influences. After correction for possible publication bias the conclusion was unaltered. Additional analyses showed that personality model and gender were not significant moderators of personality heritability estimate, while study design was a significant moderator with twin studies showing higher estimates, .47, compared to family and adoption studies, .22. Personality model also was not a significant moderator of heritability estimates for neuroticism or extraversion, 2 personality traits contained in most personality trait theories and/or models. This study is the first to empirically test and confirm moderator effect of study design on heritability estimates in the field of personality. Limitations of the study, as well as suggestion for future studies, are discussed. (PsycINFO Database Record

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Genome-wide genetic data on ~500,000 UK Biobank participants

Adrian Cortes, Gil McVean, Olivier Delaneau … (2017)

The UK Biobank project is a large prospective cohort study of ~500,000 individuals from across the United Kingdom, aged between 40-69 at recruitment. A rich variety of phenotypic and health-related information is available on each participant, making the resource unprecedented in its size and scope. Here we describe the genome-wide genotype data (~805,000 markers) collected on all individuals in the cohort and its quality control procedures. Genotype data on this scale offers novel opportunities for assessing quality issues, although the wide range of ancestries of the individuals in the cohort also creates particular challenges. We also conducted a set of analyses that reveal properties of the genetic data (such as population structure and relatedness) that can be important for downstream analyses. In addition, we phased and imputed genotypes into the dataset, using computationally efficient methods combined with the Haplotype Reference Consortium (HRC) and UK10K haplotype resource. This increases the number of testable variants by over 100-fold to ~96 million variants. We also imputed classical allelic variation at 11 human leukocyte antigen (HLA) genes, and as a quality control check of this imputation, we replicate signals of known associations between HLA alleles and many common diseases. We describe tools that allow efficient genome-wide association studies (GWAS) of multiple traits and fast phenome-wide association studies (PheWAS), which work together with a new compressed file format that has been used to distribute the dataset. As a further check of the genotyped and imputed datasets, we performed a test-case genome-wide association scan on a well-studied human trait, standing height.