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Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns
Resting‐state functional connectivity profiles have been increasingly shown to be important endophenotypes that are tightly linked to human cognitive functions and psychiatric diseases, yet the genetic architecture of this multidimensional trait is barely understood. Using a unique sample of 1,704 u...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375050/ https://www.ncbi.nlm.nih.gov/pubmed/32329556 http://dx.doi.org/10.1002/hbm.25018 |
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author | Feng, Junjiao Chen, Chunhui Cai, Ying Ye, Zhifang Feng, Kanyin Liu, Jing Zhang, Liang Yang, Qinghao Li, Anqi Sheng, Jintao Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui |
author_facet | Feng, Junjiao Chen, Chunhui Cai, Ying Ye, Zhifang Feng, Kanyin Liu, Jing Zhang, Liang Yang, Qinghao Li, Anqi Sheng, Jintao Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui |
author_sort | Feng, Junjiao |
collection | PubMed |
description | Resting‐state functional connectivity profiles have been increasingly shown to be important endophenotypes that are tightly linked to human cognitive functions and psychiatric diseases, yet the genetic architecture of this multidimensional trait is barely understood. Using a unique sample of 1,704 unrelated, young and healthy Chinese Han individuals, we revealed a significant heritability of functional connectivity patterns in the whole brain and several subnetworks. We further proposed a partitioned heritability analysis for multidimensional functional connectivity patterns, which revealed the common and unique enrichment patterns of the genetic contributions to brain connectivity patterns for several gene sets linked to brain functions, including the genes expressed preferentially in the central nervous system and those associated with intelligence, educational attainment, attention‐deficit/hyperactivity disorder, and schizophrenia. These results for the first time reveal the genetic architecture of multidimensional brain connectivity patterns across different networks and advance our understanding of the complex relationship between gene sets, neural networks, and behaviors. |
format | Online Article Text |
id | pubmed-7375050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73750502020-07-22 Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns Feng, Junjiao Chen, Chunhui Cai, Ying Ye, Zhifang Feng, Kanyin Liu, Jing Zhang, Liang Yang, Qinghao Li, Anqi Sheng, Jintao Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui Hum Brain Mapp Research Articles Resting‐state functional connectivity profiles have been increasingly shown to be important endophenotypes that are tightly linked to human cognitive functions and psychiatric diseases, yet the genetic architecture of this multidimensional trait is barely understood. Using a unique sample of 1,704 unrelated, young and healthy Chinese Han individuals, we revealed a significant heritability of functional connectivity patterns in the whole brain and several subnetworks. We further proposed a partitioned heritability analysis for multidimensional functional connectivity patterns, which revealed the common and unique enrichment patterns of the genetic contributions to brain connectivity patterns for several gene sets linked to brain functions, including the genes expressed preferentially in the central nervous system and those associated with intelligence, educational attainment, attention‐deficit/hyperactivity disorder, and schizophrenia. These results for the first time reveal the genetic architecture of multidimensional brain connectivity patterns across different networks and advance our understanding of the complex relationship between gene sets, neural networks, and behaviors. John Wiley & Sons, Inc. 2020-04-24 /pmc/articles/PMC7375050/ /pubmed/32329556 http://dx.doi.org/10.1002/hbm.25018 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Feng, Junjiao Chen, Chunhui Cai, Ying Ye, Zhifang Feng, Kanyin Liu, Jing Zhang, Liang Yang, Qinghao Li, Anqi Sheng, Jintao Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns |
title | Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns |
title_full | Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns |
title_fullStr | Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns |
title_full_unstemmed | Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns |
title_short | Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns |
title_sort | partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375050/ https://www.ncbi.nlm.nih.gov/pubmed/32329556 http://dx.doi.org/10.1002/hbm.25018 |
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