Genomic kinship construction to enhance genetic analyses in the human connectome project data.
DTI
DWI
diffusion
human connectome project
imaging genetics
pedigree
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 04 2019
01 04 2019
Historique:
received:
31
08
2018
revised:
06
11
2018
accepted:
07
11
2018
pubmed:
30
11
2018
medline:
9
4
2020
entrez:
30
11
2018
Statut:
ppublish
Résumé
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).
Identifiants
pubmed: 30496643
doi: 10.1002/hbm.24479
pmc: PMC6483073
mid: NIHMS1015799
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1677-1688Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB015922
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB007813
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH116948
Pays : United States
Organisme : NIH HHS
ID : EB007813
Pays : United States
Organisme : NIH HHS
ID : EB008281
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH105632
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH078111
Pays : United States
Organisme : NIH HHS
ID : EB008432
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB008432
Pays : United States
Organisme : NIMH NIH HHS
ID : U54 MH091657
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB008281
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB017183
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB015611
Pays : United States
Organisme : NIH Institutes and Centers
ID : 1U54MH091657
Pays : International
Organisme : NIMH NIH HHS
ID : U01 MH108148
Pays : United States
Organisme : NIBIB NIH HHS
ID : U54 EB020403
Pays : United States
Organisme : Australian National Health and Medical Research Council
ID : APP1103623
Pays : International
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH112180
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS088040
Pays : United States
Organisme : NIH HHS
ID : S10 OD023696
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH083824
Pays : United States
Informations de copyright
© 2018 Wiley Periodicals, Inc.
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