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PMID: 16934002 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Heritability of cardiovascular and personality traits in 6,148 Sardinians.

PLoS genetics ·Vol. 2 ·No. 8 ·2006-08-25 ·Pages e132

Pilia G, Chen WM, Scuteri A, Orrú M, Albai G, Dei M, Lai S, Usala G, Lai M, Loi P, Mameli C, Vacca L, Deiana M, Olla N, Masala M, Cao A, Najjar SS, Terracciano A, Nedorezov T, Sharov A, Zonderman AB, Abecasis GR, Costa P, Lakatta E, Schlessinger D

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.

MeSH Terms
Adolescent Adult Aged Aged, 80 and over Aging Analysis of Variance Cardiovascular Diseases/genetics Cardiovascular Physiological Phenomena Chromosomes, Human, X/genetics Cohort Studies Female Genes, Mitochondrial Humans Italy Male Middle Aged Models, Genetic Multifactorial Inheritance Personality/genetics Quantitative Trait, Heritable Sex Characteristics Siblings
Authors & Affiliations
25 authors, click to expand affiliations / ORCID
Pilia Giuseppe
Istituto di Neurogenetica e Neurofarmacologia, Consiglio Nazionale delle Ricerche, Ospedale Microcitemico, Cagliari, Italy.
Chen Wei-Min
Scuteri Angelo
Orrú Marco
Albai Giuseppe
Dei Mariano
Lai Sandra
Usala Gianluca
Lai Monica
Loi Paola
Mameli Cinzia
Vacca Loredana
Deiana Manila
Olla Nazario
Masala Marco
Cao Antonio
Najjar Samer S
Terracciano Antonio
Nedorezov Timur
Sharov Alexei
Zonderman Alan B
Abecasis Gonçalo R
Costa Paul
Lakatta Edward
Schlessinger David
Conflict of Interest

Competing interests. The authors have declared that no competing interests exist.

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Article Info
Journal
PLoS genetics
Abbr.
PLoS Genet
ISSN
1553-7404
Published
2006-08-25
Epub
2006-00-10
Pages
e132
Language
English
Region
United States
NLM ID
101239074
PMCID
PMC1557782
Subset
IM
Grants
Intramural NIH HHS · ZIA AG000180-25 · United States
NHGRI NIH HHS · R01 HG002651 · United States
Intramural NIH HHS · ZIA AG000183-23 · United States
Intramural NIH HHS · Z99 AG999999 · United States
Intramural NIH HHS · ZIA AG000196-04 · United States
Intramural NIH HHS · ZIA AG000196-03 · United States
NEI NIH HHS · R01 EY012562 · United States
Intramural NIH HHS · ZIA AG000183-22 · United States
Intramural NIH HHS · ZIA AG000197-03 · United States
NHGRI NIH HHS · HG02651 · United States
Intramural NIH HHS · ZIA AG000180-26 · United States
Intramural NIH HHS · ZIA AG000197-04 · United States
NEI NIH HHS · EY12562 · United States
NIA NIH HHS · N01-AG-1-2109 · United States
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