ArticleHuman brain mapping2019
Genomic kinship construction to enhance genetic analyses in the human connectome project data.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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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
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Ancestral, Pregnancy, and Negative Early-Life Risks Shape Children's Brain (Dis)similarity to Schizophrenia.Biological psychiatry · 2023Pooled it
- Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex.Nature communications · 2022Pooled it
- Accelerating Heritability, Genetic Correlation, and Genome-Wide Association Imaging Genetic Analyses in Complex Pedigrees.Human brain mapping · 2024Article
- Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project.NeuroImage · 2021Article
- Progress and Research Priorities in Imaging Genomics for Heart and Lung Disease: Summary of an NHLBI Workshop.Circulation. Cardiovascular imaging · 2021Article
- Human Connectome Project: heritability of brain volumes in young healthy adults.Experimental brain research · 2021Article
- Genetic versus stress and mood determinants of sleep in the Amish.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2021Article
- Quantifying Genetic and Environmental Influence on Gray Matter Microstructure Using Diffusion MRI.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Personality and local brain structure: Their shared genetic basis and reproducibility.NeuroImage · 2020Article
- Shaping brain structure: Genetic and phylogenetic axes of macroscale organization of cortical thickness.Science advances · 2020Article
- The interrelation of sleep and mental and physical health is anchored in grey-matter neuroanatomy and under genetic control.Communications biology · 2020Article
- Genomic kinship construction to enhance genetic analyses in the human connectome project data.Human brain mapping · 2019Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Imaging genetic analyses quantify genetic control over quantitative measurements of brain structure and function using coefficients of relationship (CR) that code the degree of shared genetics between subjects. CR can be inferred through self-reported relatedness or calculated empirically using genome-wide SNP scans. We hypothesized that empirical CR provides a more accurate assessment of shared genetics than self-reported relatedness. We tested this in 1,046 participants of the Human Connectome Project (HCP) (480 M/566 F) recruited from the Missouri twin registry. We calculated the heritability for 17 quantitative traits drawn from four categories (brain diffusion and structure, cognition, and body physiology) documented by the HCP. We compared the heritability and genetic correlation estimates calculated using self-reported and empirical CR methods Kinship-based INference for GWAS (KING) and weighted allelic correlation (WAC). The polygenetic nature of traits was assessed by calculating the empirical CR from chromosomal SNP sets. The heritability estimates based on whole-genome empirical CR were higher but remained significantly correlated (r ∼0.9) with those obtained using self-reported values. Population stratification in the HCP sample has likely influenced the empirical CR calculations and biased heritability estimates. Heritability values calculated using empirical CR for chromosomal SNP sets were significantly correlated with the chromosomal length (r 0.7) suggesting a polygenic nature for these traits. The chromosomal heritability patterns were correlated among traits from the same knowledge domains; among traits with significant genetic correlations; and among traits sharing biological processes, without being genetically related. The pedigree structures generated in our analyses are available online as a web-based calculator (www.solar-eclipse-genetics.org/HCP).
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