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Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and h...

Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and h...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7422975ef681484ea15ce921d99590ed

Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project

About this item

Full title

Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2021-12, Vol.245, p.118700-118700, Article 118700

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Imaging genetics analyses use neuroimaging traits as intermediate phenotypes to infer the degree of genetic contribution to brain structure and function in health and/or illness. Coefficients of relatedness (CR) summarize the degree of genetic similarity among subjects and are used to estimate the heritability – the proportion of phenotypic varianc...

Alternative Titles

Full title

Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7422975ef681484ea15ce921d99590ed

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7422975ef681484ea15ce921d99590ed

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2021.118700

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