ArticlePLoS genetics2006
Heritability of cardiovascular and personality traits in 6,148 Sardinians.
Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers, 22 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
306 citing papers in PubMed, 22 syntheses or guidelines pooled it.
- Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves prediction across ancestry groups.Nature genetics · 2025Pooled it
- Genetic Polymorphisms Associated with Fetal Hemoglobin (HbF) Levels and F-Cell Numbers: A Systematic Review of Genome-Wide Association Studies.International journal of molecular sciences · 2024Pooled it
- The role of genetically predicted serum iron levels on neurodegenerative and cardiovascular traits.Scientific reports · 2024Pooled it
- Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT.Communications biology · 2022Pooled it
- Association between the ABCA1 (R219K) polymorphism and lipid profiles: a meta-analysis.Scientific reports · 2021Pooled it
- Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry.The pharmacogenomics journal · 2019Pooled it
- Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes.PLoS genetics · 2018Pooled it
- Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval.Circulation. Genomic and precision medicine · 2018Pooled it
- Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits.Nature genetics · 2016Pooled it
- Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.American journal of human genetics · 2016Pooled it
- Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies.Psychological medicine · 2016Pooled it
- Replication and Characterization of Association between ABO SNPs and Red Blood Cell Traits by Meta-Analysis in Europeans.PloS one · 2016Pooled it
- GWA meta-analysis of personality in Korean cohorts.Journal of human genetics · 2015Pooled it
- Methods for association analysis and meta-analysis of rare variants in families.Genetic epidemiology · 2015Pooled it
- Trans-ethnic meta-analysis of white blood cell phenotypes.Human molecular genetics · 2014Pooled it
- Identification of novel genetic Loci associated with thyroid peroxidase antibodies and clinical thyroid disease.PLoS genetics · 2014Pooled it
- Genetics of serum BDNF: meta-analysis of the Val66Met and genome-wide association study.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2013Pooled it
- Genome-wide association study meta-analysis reveals transethnic replication of mean arterial and pulse pressure loci.Hypertension (Dallas, Tex. : 1979) · 2013Pooled it
- Meta-analysis of telomere length in 19,713 subjects reveals high heritability, stronger maternal inheritance and a paternal age effect.European journal of human genetics : EJHG · 2013Pooled it
- GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.Science (New York, N.Y.) · 2013Pooled it
246 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
25 authors.
Funding
Abstract
In family studies, phenotypic similarities between relatives yield information on the overall contribution of genes to trait variation. Large samples are important for these family studies, especially when comparing heritability between subgroups such as young and old, or males and females. We recruited a cohort of 6,148 participants, aged 14-102 y, from four clustered towns in Sardinia. The cohort includes 34,469 relative pairs. To extract genetic information, we implemented software for variance components heritability analysis, designed to handle large pedigrees, analyze multiple traits simultaneously, and model heterogeneity. Here, we report heritability analyses for 98 quantitative traits, focusing on facets of personality and cardiovascular function. We also summarize results of bivariate analyses for all pairs of traits and of heterogeneity analyses for each trait. We found a significant genetic component for every trait. On average, genetic effects explained 40% of the variance for 38 blood tests, 51% for five anthropometric measures, 25% for 20 measures of cardiovascular function, and 19% for 35 personality traits. Four traits showed significant evidence for an X-linked component. Bivariate analyses suggested overlapping genetic determinants for many traits, including multiple personality facets and several traits related to the metabolic syndrome; but we found no evidence for shared genetic determinants that might underlie the reported association of some personality traits and cardiovascular risk factors. Models allowing for heterogeneity suggested that, in this cohort, the genetic variance was typically larger in females and in younger individuals, but interesting exceptions were observed. For example, narrow heritability of blood pressure was approximately 26% in individuals more than 42 y old, but only approximately 8% in younger individuals. Despite the heterogeneity in effect sizes, the same loci appear to contribute to variance in young and old, and in males and females. In summary, we find significant evidence for heritability of many medically important traits, including cardiovascular function and personality. Evidence for heterogeneity by age and sex suggests that models allowing for these differences will be important in mapping quantitative traits.
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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.