Minh Bui

Dr. Minh Bui

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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1 July 2018 in The Lancet Respiratory Medicine
Verified
Journal Article
Open access
Dinh BuiDinh Bui
Dinh Bui
CLCaroline J Lodge
Caroline J Lodge
JBJohn A Burgess
John A Burgess
ALAdrian J Lowe
Adrian J Lowe
JPJennifer Perret
Jennifer Perret
Shyamali DharmageShyamali Dharmage
Shyamali Dharmage
Lifetime lung function is related to quality of life and longevity. Over the lifespan, individuals follow different lung function trajectories. Identification of these trajectories, their determinants, and outcomes is important, but no study has done this beyond the fourth decade. We used six waves of the Tasmanian Longitudinal Health Study (TAHS) to model lung function trajectories measured at 7, 13, 18, 45, 50, and 53 years. We analysed pre-bronchodilator FEV1 z-scores at the six timepoints using group-based trajectory modelling to identify distinct subgroups of individuals whose measurements followed a similar pattern over time. We related the trajectories identified to childhood factors and risk of chronic obstructive pulmonary disease (COPD) using logistic regression, and estimated population-attributable fractions of COPD. Of the 8583 participants in the original cohort, 2438 had at least two waves of lung function data at age 7 years and 53 years and comprised the study population. We identified six trajectories: early below average, accelerated decline (97 [4%] participants); persistently low (136 [6%] participants); early low, accelerated growth, normal decline (196 [8%] participants); persistently high (293 [12%] participants); below average (772 [32%] participants); and average (944 [39%] participants). The three trajectories early below average, accelerated decline; persistently low; and below average had increased risk of COPD at age 53 years compared with the average group (early below average, accelerated decline: odds ratio 35·0, 95% CI 19·5-64·0; persistently low: 9·5, 4·5-20·6; and below average: 3·7, 1·9-6·9). Early-life predictors of the three trajectories included childhood asthma, bronchitis, pneumonia, allergic rhinitis, eczema, parental asthma, and maternal smoking. Personal smoking and active adult asthma increased the impact of maternal smoking and childhood asthma, respectively, on the early below average, accelerated decline trajectory. We identified six potential FEV1 trajectories, two of which were novel. Three trajectories contributed 75% of COPD burden and were associated with modifiable early-life exposures whose impact was aggravated by adult factors. We postulate that reducing maternal smoking, encouraging immunisation, and avoiding personal smoking, especially in those with smoking parents or low childhood lung function, might minimise COPD risk. Clinicians and patients with asthma should be made aware of the potential long-term implications of non-optimal asthma control for lung function trajectory throughout life, and the role and benefit of optimal asthma control on improving lung function should be investigated in future intervention trials. National Health and Medical Research Council of Australia; European Union's Horizon 2020; The University of Melbourne; Clifford Craig Medical Research Trust of Tasmania; The Victorian, Queensland & Tasmanian Asthma Foundations; The Royal Hobart Hospital; Helen MacPherson Smith Trust; and GlaxoSmithKline.

27 March 2013 in Nature Genetics
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Journal Article
Closed access
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TNThe Gene Environmental Interaction And Breast Cancer (Genica) Network
The Gene Environmental Interaction And Breast Cancer (Genica) Network
MGMontserrat Garcia-Closas
Montserrat Garcia-Closas
KIkConFab Investigators
kConFab Investigators
F(Familial Breast Cancer Study (FBCS)
Familial Breast Cancer Study (FBCS)
AIAustralian Breast Cancer Tissue Bank (ABCTB) Investigators
Australian Breast Cancer Tissue Bank (ABCTB) Investigators
PKPeter Kraft
Peter Kraft

20 September 2006 in Journal of Autism and Developmental Disorders
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Journal Article
Closed access
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SCSally Clifford
Sally Clifford
CDCheryl Dissanayake
Cheryl Dissanayake
MBMinh Bui
Minh Bui
RHRichard Huggins
Richard Huggins
ATAnnette K. Taylor
Annette K. Taylor
DLDanuta Z. Loesch
Danuta Z. Loesch

31 October 2016 in Nature Genetics
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Journal Article
Open access
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BCBIOS Consortium
BIOS Consortium
NBNicola Barban
Nicola Barban
LSLifeLines Cohort Study
LifeLines Cohort Study
RJRick Jansen
Rick Jansen
RVRonald de Vlaming
Ronald de Vlaming
MMMelinda Mills
Melinda Mills
Melinda Mills, Nicola Barban, Harold Snieder, Marcel den Hoed and colleagues perform a meta-analysis of data from over 300,000 individuals for age at first birth and number of children ever born. They identify 12 significant loci that associate with these traits, providing insights into the genetic basis of human reproductive behavior. The genetic architecture of human reproductive behavior—age at first birth (AFB) and number of children ever born (NEB)—has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.

22 January 2012 in Nature Genetics
Verified
Journal Article
Open access
PDF file
N(Netherlands Collaborative Group on Hereditary Breast and Ovarian Cancer (HEBON)
Netherlands Collaborative Group on Hereditary Breast and Ovarian Cancer (HEBON)
MGMaya Ghoussaini
Maya Ghoussaini
F(Familial Breast Cancer Study (FBCS)
Familial Breast Cancer Study (FBCS)
TNThe Gene Environment Interaction Of Breast Cancer In Germany (Genica) Network
The Gene Environment Interaction Of Breast Cancer In Germany (Genica) Network
KIkConFab Investigators
kConFab Investigators
DEDouglas F Easton
Douglas F Easton
Douglas Easton and colleagues report a genome-wide association analyses for breast cancer in ~70,000 cases and ~68,000 controls. They identify three new breast cancer susceptibility loci, two of which show association only with estrogen receptor–positive disease. Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ∼70,000 cases and ∼68,000 controls from 41 case-control studies and 9 breast cancer GWAS. We identified three new breast cancer risk loci at 12p11 (rs10771399; P = 2.7 × 10−35), 12q24 (rs1292011; P = 4.3 × 10−19) and 21q21 (rs2823093; P = 1.1 × 10−12). rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) has a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, and NRIP1 (21q21) encodes an ER cofactor and has a role in the regulation of breast cancer cell growth.

1 June 2014 in Journal of Allergy and Clinical Immunology
Verified
Journal Article
Closed access
MFManuel A.R. Ferreira
Manuel A.R. Ferreira
MMMelanie C. Matheson
Melanie C. Matheson
CTClara Sze-man TANG
Clara Sze-man TANG
RGRaquel Granell
Raquel Granell
WAWei Ang
Wei Ang
JHJohn Hopper
John Hopper