Chi-Hua Chen

Dr. Chi-Hua Chen


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 February 2011 in Bipolar Disorders
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Journal Article
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CCChi-Hua Chen
Chi-Hua Chen
JSJohn Suckling
John Suckling
BLBelinda R Lennox
Belinda R Lennox
COCinly Ooi
Cinly Ooi
EBEd T Bullmore
Ed T Bullmore

5 December 2016 in Nature Genetics
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Journal Article
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MLMin-Tzu Lo
Min-Tzu Lo
DHDavid A Hinds
David A Hinds
JTJoyce Y Tung
Joyce Y Tung
CFCarol Franz
Carol Franz
CFChun-Chieh Fan
Chun-Chieh Fan
CCChi-Hua Chen
Chi-Hua Chen

30 September 2013 in Proceedings of the National Academy of Sciences
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Journal Article
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CCChi-Hua Chen
Chi-Hua Chen
MFMark Fiecas
Mark Fiecas
EGE. D. Gutiérrez
E. D. Gutiérrez
MPMatthew S. Panizzon
Matthew S. Panizzon
LELisa T. Eyler
Lisa T. Eyler
WKWilliam S Kremen
William S Kremen
Significance: How diverse functional cortical regions develop is an important neuroscience question. Animal experiments show that regional differentiation is controlled by genes that express in a graded and regionalized pattern; however, such investigation in humans is scarce. Using noninvasive imaging techniques to acquire brain structure data of genetically related subjects (i.e., twins), we estimated the spatial pattern of genetic influences on cortical structure. We developed a genetic parcellation of cortical thickness to delineate the boundaries of cortical divisions that are—within each division—maximally under control of shared genetic influences. We also found differences in genetic influences on cortical surface area and thickness along two orthogonal axes. The concept of gradations is crucial for understanding the organization of the human brain.

19 June 2017 in Journal of Clinical Investigation
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CCCyrielle Caussy
Cyrielle Caussy
MSMeera Soni
Meera Soni
JCJeffrey Cui
Jeffrey Cui
RBRicki Bettencourt
Ricki Bettencourt
NSNicholas Schork
Nicholas Schork
RLRohit Loomba
Rohit Loomba
BACKGROUND. The risk of advanced fibrosis in first-degree relatives of patients with nonalcoholic fatty liver disease and cirrhosis (NAFLD-cirrhosis) is unknown and needs to be systematically quantified. We aimed to prospectively assess the risk of advanced fibrosis in first-degree relatives of probands with NAFLD-cirrhosis. METHODS. This is a cross-sectional analysis of a prospective cohort of 26 probands with NAFLD-cirrhosis and 39 first-degree relatives. The control population included 69 community-dwelling twin, sib-sib, or parent-offspring pairs (n = 138), comprising 69 individuals randomly ascertained to be without evidence of NAFLD and 69 of their first-degree relatives. The primary outcome was presence of advanced fibrosis (stage 3 or 4 fibrosis). NAFLD was assessed clinically and quantified by MRI proton density fat fraction (MRI-PDFF). Advanced fibrosis was diagnosed by liver stiffness greater than 3.63 kPa using magnetic resonance elastography (MRE). RESULTS. The prevalence of advanced fibrosis in first-degree relatives of probands with NAFLD-cirrhosis was significantly higher than that in the control population (17.9% vs. 1.4%, P = 0.0032). Compared with controls, the odds of advanced fibrosis among the first-degree relatives of probands with NAFLD-cirrhosis were odds ratio 14.9 (95% CI, 1.8–126.0, P = 0.0133). Even after multivariable adjustment by age, sex, Hispanic ethnicity, BMI, and diabetes status, the risk of advanced fibrosis remained both statistically and clinically significant (multivariable-adjusted odds ratio 12.5; 95% CI, 1.1–146.1, P = 0.0438). CONCLUSION. Using a well-phenotyped familial cohort, we demonstrated that first-degree relatives of probands with NAFLD-cirrhosis have a 12 times higher risk of advanced fibrosis. Advanced fibrosis screening may be considered in first-degree relatives of NAFLD-cirrhosis patients. TRIAL REGISTRATION. UCSD IRB: 140084. FUNDING. National Institute of Diabetes and Digestive and Kidney Diseases and National Institute of Environmental Health Sciences, NIH.

3 February 2022 in Science
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CMCarolina Makowski
Carolina Makowski
DMDennis van der Meer
Dennis van der Meer
WDWeixiu Dong
Weixiu Dong
HWHao Wang
Hao Wang
YWYan Wu
Yan Wu
CCChi-Hua Chen
Chi-Hua Chen
To determine the impact of genetic variants on the brain, we used genetically informed brain atlases in genome-wide association studies of regional cortical surface area and thickness in 39,898 adults and 9136 children. We uncovered 440 genome-wide significant loci in the discovery cohort and 800 from a post hoc combined meta-analysis. Loci in adulthood were largely captured in childhood, showing signatures of negative selection, and were linked to early neurodevelopment and pathways associated with neuropsychiatric risk. Opposing gradations of decreased surface area and increased thickness were associated with common inversion polymorphisms. Inferior frontal regions, encompassing Broca’s area, which is important for speech, were enriched for human-specific genomic elements. Thus, a mixed genetic landscape of conserved and human-specific features is concordant with brain hierarchy and morphogenetic gradients.

1 December 2019 in Neurobiology of Aging
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Journal Article
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MLMin-Tzu Lo
Min-Tzu Lo
KKKarolina Kauppi
Karolina Kauppi
CFChun-Chieh Fan
Chun-Chieh Fan
Nilotpal SanyalNilotpal Sanyal
Nilotpal Sanyal
EREmilie T. Reas
Emilie T. Reas
CCChi-Hua Chen
Chi-Hua Chen