Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Liang-Suei Lu is active.

Publication


Featured researches published by Liang-Suei Lu.


The New England Journal of Medicine | 2014

Variant GADL1 and response to lithium therapy in bipolar I disorder.

Chien-Hsiun Chen; Chau-Shoun Lee; Ming-Ta Michael Lee; Wen-Chen Ou-Yang; Chiao-Chicy Chen; Mian-Yoon Chong; Jer-Yuarn Wu; Happy Kuy-Lok Tan; Yi-Ching Lee; Liang-Jen Chuo; Nan-Ying Chiu; Hin-Yeung Tsang; Ta-Jen Chang; For-Wey Lung; Chen-Huan Chiu; Cheng-Ho Chang; Ying-Sheue Chen; Yuh‐Ming Hou; Cheng-Chung Chen; Te-Jen Lai; Chun-Liang Tung; Chung-Ying Chen; Hsien-Yuan Lane; Tung-Ping Su; Jung Feng; Jin-Jia Lin; Ching-Jui Chang; Po-Ren Teng; Chia-Yih Liu; Chih-Ken Chen

BACKGROUND Lithium has been a first-line choice for maintenance treatment of bipolar disorders to prevent relapse of mania and depression, but many patients do not have a response to lithium treatment. METHODS We selected subgroups from a sample of 1761 patients of Han Chinese descent with bipolar I disorder who were recruited by the Taiwan Bipolar Consortium. We assessed their response to lithium treatment using the Alda scale and performed a genomewide association study on samples from one subgroup of 294 patients with bipolar I disorder who were receiving lithium treatment. We then tested the single-nucleotide polymorphisms (SNPs) that showed the strongest association with a response to lithium for association in a replication sample of 100 patients and tested them further in a follow-up sample of 24 patients. We sequenced the exons, exon-intron boundaries, and part of the promoter of the gene encoding glutamate decarboxylase-like protein 1 (GADL1) in 94 patients who had a response to lithium and in 94 patients who did not have a response in the genomewide association sample. RESULTS Two SNPs in high linkage disequilibrium, rs17026688 and rs17026651, that are located in the introns of GADL1 showed the strongest associations in the genomewide association study (P=5.50×10(-37) and P=2.52×10(-37), respectively) and in the replication sample of 100 patients (P=9.19×10(-15) for each SNP). These two SNPs had a sensitivity of 93% for predicting a response to lithium and differentiated between patients with a good response and those with a poor response in the follow-up cohort. Resequencing of GADL1 revealed a novel variant, IVS8+48delG, which lies in intron 8 of the gene, is in complete linkage disequilibrium with rs17026688 and is predicted to affect splicing. CONCLUSIONS Genetic variations in GADL1 are associated with the response to lithium maintenance treatment for bipolar I disorder in patients of Han Chinese descent. (Funded by Academia Sinica and others.).


Pharmacogenomics | 2009

Genetic determinants of warfarin dosing in the Han-Chinese population.

Ming Ta Michael Lee; Chien-Hsiun Chen; Ching-Heng Chou; Liang-Suei Lu; Hui-Ping Chuang; Ying-Ting Chen; Amir N. Saleem; Ming-Shien Wen; Jin-Jer Chen; Jer-Yuarn Wu; Yuan-Tsong Chen

UNLABELLED Warfarin, a widely prescribed oral anticoagulant, is used for the prevention of thromboembolism. Polymorphisms in CYP2C9 and VKORC1 have been shown to be associated with warfarin dose requirements. However, it is likely that other genes could also affect warfarin dose. AIMS In this study, we aimed to identify additional genes influencing warfarin dosing in the Han-Chinese population. MATERIALS & METHODS In this study, we screened for SNPs in 13 genes (VKORC1, CYP2C9, CYP2C18, PROC, APOE, EPHX1, CALU, GGCX, ORM1, ORM2, factor II, factor VII and CYP4F2) and tested their associations with warfarin dosing with univariate and multiple regression analysis. RESULTS Polymorphisms in the VKORC1 gene have the strongest effects on warfarin dose, followed by CYP2C9*3. In addition, our results showed that CYP2C18, PROC and EPHX1 have small but significant associations with warfarin dose. In multiple regression analysis, PROC and EPHX1 explained 3% of the dose variation. The incorporation of these two genes into warfarin dosing algorithms could improve the accuracy of prediction in the Han-Chinese population.


Arthritis Research & Therapy | 2013

Genome-wide expression profiles of subchondral bone in osteoarthritis

Ching-Heng Chou; Chia-Chun Wu; I-Wen Song; Hui-Ping Chuang; Liang-Suei Lu; Jen-Huei Chang; San-Yuan Kuo; Chian-Her Lee; Jer-Yuarn Wu; Yuan-Tsong Chen; Virginia B. Kraus; Ming Ta Michael Lee

IntroductionThe aim of this study was to evaluate, for the first time, the differences in gene expression profiles of normal and osteoarthritic (OA) subchondral bone in human subjects.MethodsFollowing histological assessment of the integrity of overlying cartilage and the severity of bone abnormality by micro-computed tomography, we isolated total RNA from regions of interest from human OA (n = 20) and non-OA (n = 5) knee lateral tibial (LT) and medial tibial (MT) plateaus. A whole-genome profiling study was performed on an Agilent microarray platform and analyzed using Agilent GeneSpring GX11.5. Confirmatory quantitative reverse-transcription polymerase chain reaction (qRT-PCR) analysis was performed on samples from 9 OA individuals to confirm differential expression of 85 genes identified by microarray. Ingenuity Pathway Analysis (IPA) was used to investigate canonical pathways and immunohistochemical staining was performed to validate protein expression levels in samples.ResultsA total of 972 differentially expressed genes were identified (fold change ≥ ± 2, P ≤0.05) between LT (minimal degeneration) and MT (significant degeneration) regions from OA samples; these data implicated 279 canonical pathways in IPA. The qRT-PCR data strongly confirmed the accuracy of microarray results (R2 = 0.58, P <0.0001). Novel pathways were identified in this study including Periostin (POSTN) and Leptin (LEP), which are implicated in bone remodeling by osteoblasts.ConclusionsTo the best of our knowledge, this study represents the most comprehensive direct assessment to date of gene expression profiling in OA subchondral bone. This study provides insights that could contribute to the development of new biomarkers and therapeutic strategies for OA.


Pharmacogenomics | 2009

VKORC1 haplotypes in five East-Asian populations and Indians

Ming Ta Michael Lee; Chien-Hsiun Chen; Hui-Ping Chuang; Liang-Suei Lu; Ching-Heng Chou; Ying-Ting Chen; Chih-Yang Liu; Ming-Shien Wen; Jang-Jih Lu; Chi-Feng Chang; Jer-Yuarn Wu; Yuan-Tsong Chen

AIMS Warfarin, a widely prescribed oral anticoagulant, is used for the prevention of thromboembolism. Several polymorphisms in VKORC1 have been shown to be associated with warfarin dose requirements. The frequencies of these VKORC1 polymorphisms display population differences; however, this has not been examined in many populations. In this study, we examined VKORC1 polymorphisms in five East-Asian populations (Han Chinese, Indonesian, Filipino, Thai and Vietnamese) and Indians. MATERIALS & METHODS A total of six SNPs in the VKORC1 gene (-1639G>A, 497T>G, 1173C>T, 1542T>G, 2255C>T and 3730G>A) were genotyped. Frequencies, linkage disequilibrium and haplotype structures of these six VKORC1 SNPs were analyzed. RESULTS Our data showed that 497T>G is only polymorphic in the Indian population. The 497G allele is very rare in the East-Asian populations (frequency < 1%). The remaining SNPs demonstrated high linkage disequilibrium and had similar frequencies and haplotype structures in all but the Indian population. The Indian population is mostly made up of the H7 haplotype (76%) while the rest of the recruited populations consisted of the H1 haplotype (> 80%).


Osteoarthritis and Cartilage | 2015

Insights into osteoarthritis progression revealed by analyses of both knee tibiofemoral compartments

Ching-Heng Chou; Ming Ta Michael Lee; I-Wen Song; Liang-Suei Lu; Hsain-Chung Shen; Chian-Her Lee; Jer-Yuarn Wu; Yuan-Tsong Chen; Virginia B. Kraus; Chia-Chun Wu

OBJECTIVE To identify disease relevant genes and pathways associated with knee Osteoarthritis (OA) progression in human subjects using medial and lateral compartment dominant OA knee tissue. DESIGN Gene expression of knee cartilage was comprehensively assessed for three regions of interest from human medial dominant OA (n = 10) and non-OA (n = 6) specimens. Histology and gene expression were compared for the regions with minimal degeneration, moderate degeneration and significant degeneration. Agilent whole-genome microarray was performed and data were analyzed using Agilent GeneSpring GX11.5. Significant differentially regulated genes were further investigated by Ingenuity Pathway Analysis (IPA) to identify functional categories. To confirm their association with disease severity as opposed to site within the knee, 30 differentially expressed genes, identified by microarray, were analyzed by quantitative reverse-transcription polymerase chain reaction on additional medial (n = 16) and lateral (n = 10) compartment dominant knee OA samples. RESULTS A total of 767 genes were differentially expressed ≥ two-fold (P ≤ 0.05) in lesion compared to relatively intact regions. Analysis of these data by IPA predicted biological functions related to an imbalance of anabolism and catabolism of cartilage matrix components. Up-regulated expression of IL11, POSTN, TNFAIP6, and down-regulated expression of CHRDL2, MATN4, SPOCK3, VIT, PDE3B were significantly associated with OA progression and validated in both medial and lateral compartment dominant OA samples. CONCLUSIONS Our study provides a strategy for identifying targets whose modification may have the potential to ameliorate pathological alternations and progression of disease in cartilage and to serve as biomarkers for identifying individuals susceptible to progression.


Journal of the American Heart Association | 2016

Identification of PTCSC3 as a Novel Locus for Large‐Vessel Ischemic Stroke: A Genome‐Wide Association Study

Tsong-Hai Lee; Tai-Ming Ko; Chien-Hsiun Chen; Ming-Ta Michael Lee; Yeu-Jhy Chang; Chien-Hung Chang; Kuo-Lun Huang; Ting-Yu Chang; Jiann-Der Lee; Ku-Chou Chang; Jen-Tsung Yang; Ming-Shien Wen; Chao-Yung Wang; Ying-Ting Chen; Chia‐San Hsieh; Shu‐Yu Chou; Yi-Min Liu; Hui-Wen Chen; Hung‐Ting Liao; Chia‐Wen Wang; Shih-Ping Chen; Liang-Suei Lu; Yuan-Tsong Chen; Jer-Yuarn Wu

Background Ischemic stroke is a major cause of death and disability in the world. A major ischemic stroke subtype, large‐vessel ischemic stroke (large artery atherosclerosis; LAA), has been shown to have some genetic components in individuals of European ancestry. However, it is not clear whether the genetic predisposition to LAA stroke varies among ethnicities. We sought to identify genetic factors that contribute to LAA stroke in 2 independent samples of Han Chinese individuals. Methods and Results Novel genetic variants that predispose individuals to LAA stroke were identified using a genome‐wide association study (GWAS) of 444 individuals with LAA stroke and 1727 controls in a Han Chinese population residing in Taiwan. The study was replicated in an independent Han Chinese population comprising an additional 319 cases and 1802 controls. We identified 5 single‐nucleotide polymorphisms, including rs2415317 (P=3.10×10−8), rs934075 (P=4.00×10−9), rs944289 (P=3.57×10−8), rs2787417 (P=1.76×10−8), and rs1952706 (P=2.92×10−8), at one novel locus on chromosome 14q13.3 within PTCSC3 (encoding papillary thyroid carcinoma susceptibility candidate 3) that were associated with LAA stroke at genome‐wide significance (P<5×10−8). Conclusions Our data provide strong support for future studies on the role of PTCSC3 in the pathogenesis of LAA stroke and the association between LAA stroke development and thyroid function. In addition, these findings provide insights into the genetic basis of LAA stroke and identify a novel pathway that might be applicable for future therapeutic intervention.


Scientific Reports | 2017

A genome-wide association study links small-vessel ischemic stroke to autophagy

Tsong-Hai Lee; Tai-Ming Ko; Chien-Hsiun Chen; Yeu-Jhy Chang; Liang-Suei Lu; Chien-Hung Chang; Kuo-Lun Huang; Ting-Yu Chang; Jiann-Der Lee; Ku-Chou Chang; Jen-Tsung Yang; Ming-Shien Wen; Chao-Yung Wang; Ying-Ting Chen; Tsai-Chuan Chen; Shu‐Yu Chou; Ming-Ta Michael Lee; Yuan-Tsong Chen; Jer-Yuarn Wu

Genome-wide association studies (GWAS) can serve as strong evidence in correlating biological pathways with human diseases. Although ischemic stroke has been found to be associated with many biological pathways, the genetic mechanism of ischemic stroke is still unclear. Here, we performed GWAS for a major subtype of stroke—small-vessel occlusion (SVO)—to identify potential genetic factors contributing to ischemic stroke. GWAS were conducted on 342 individuals with SVO stroke and 1,731 controls from a Han Chinese population residing in Taiwan. The study was replicated in an independent Han Chinese population comprising an additional 188 SVO stroke cases and 1,265 controls. Three SNPs (rs2594966, rs2594973, rs4684776) clustered at 3p25.3 in ATG7 (encoding Autophagy Related 7), with P values between 2.52 × 10−6 and 3.59 × 10−6, were identified. Imputation analysis also supported the association between ATG7 and SVO stroke. To our knowledge, this is the first GWAS to link stroke and autophagy. ATG7, which has been implicated in autophagy, could provide novel insights into the genetic basis of ischemic stroke.


Clinical Pharmacology & Therapeutics | 2008

Prospective Study of Warfarin Dosage Requirements Based on CYP2C9 and VKORC1 Genotypes

Ming-Shien Wen; Ming-Ta Michael Lee; Jin-Jer Chen; Hui-Ping Chuang; Liang-Suei Lu; Chian-Feng Chen; Tsong-Hai Lee; Chi-Tai Kuo; F.-M. Sun; Y.-J. Chang; P.-L. Kuan; Ying-Fu Chen; Min-Ji Charng; C.-Y. Ray; J.-Y. Wu; Yuan-Tsong Chen


Osteoarthritis and Cartilage | 2013

Direct assessment of articular cartilage and underlying subchondral bone reveals a progressive gene expression change in human osteoarthritic knees

Ching-Heng Chou; Chian-Her Lee; Liang-Suei Lu; I-Wen Song; Hui-Ping Chuang; San-Yuan Kuo; Jer-Yuarn Wu; Yuan-Tsong Chen; Virginia B. Kraus; Chia-Chun Wu; Ming Ta Michael Lee


Archive | 2007

Warfarin dosage prediction

Yuan-Tsong Chen; Chih-Lung Shen; Chi-Feng Chang; Ming Ta Michael Lee; Jen-Chi Hsu; Liang-Suei Lu; Ming-Shien Wen

Collaboration


Dive into the Liang-Suei Lu's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge