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42. Sung H-L, Lin W-Y* (2024). Causal effects of cardiovascular health on five epigenetic clocks. Clinical Epigenetics, 16, Article number: 134 (17 pages). (SCIE, IF = 4.8, 29/191 = 15% in category: Genetics & Heredity) [Supplementary Materials] 41. Lin W-Y* (2024). Detecting gene-environment interactions from multiple continuous traits. Bioinformatics, 40 (7), btae419. (12 pages). (SCIE, IF = 4.4, 7/65 = 11% in category: Mathematical & Computational Biology) [Supplementary Materials] 40. Lin W-Y* (2024). Gene-environment
interactions and gene-gene interactions on two biological age measures:
evidence from Taiwan Biobank participants. Advanced
Biology, Article number: 2400149. (10 pages). (SCIE, IF = 3.2, 33/53 = 62% in category: Materials Science, Biomaterials) [Supplementary Materials] 39. Lin W-Y* (2024). Searching for gene-gene interactions through variance quantitative trait loci of 29 continuous Taiwan Biobank phenotypes. Frontiers in Genetics, 15, Article number: 1357238. (13 pages). (SCIE, IF = 2.8, 85/191 = 45% in category: Genetics & Heredity) 38. Chang X-Y, Lin W-Y* (2023). Epigenetic age acceleration mediates the association between smoking and diabetes-related outcomes. Clinical Epigenetics, 15, Article number: 94 (16 pages). (SCI, IF = 7.280, 20/175 = 11% in category: Genetics & Heredity) [Supplementary Materials] 37. Lin W-Y* (2023). Epigenetic clocks derived from Western samples differentially reflect Taiwanese health outcomes. Frontiers in Genetics, 14, Article number: 1089819. (10 pages). (SCI, IF = 4.772, 43/175 = 24.57% in category: GENETICS & HEREDITY) [Supplementary Materials] 36. Lin W-Y* (2022). The most effective exercise to prevent obesity: A longitudinal study of 33,731 Taiwan biobank participants. Frontiers in Nutrition, 9, Article number: 944028 (9 pages). (SCI, IF = 6.590, 16/90 = 18% in category: NUTRITION & DIETETICS) 35. Lin W-Y* (2022). Associations of five obesity indicators with cognitive performance in 30,697 Taiwan Biobank participants. BMC Geriatrics, 22, Article number: 839 (8 pages). (SSCI, IF = 4.076, 10/37 = 27% in category: GERONTOLOGY) [Supplementary Materials]
34. Lo Y-H, Lin W-Y* (2022). Cardiovascular health and four epigenetic clocks. Clinical Epigenetics, 14, Article number: 73 (10 pages). (SCI, IF = 6.551, 21/176 = 12% in category: Genetics & Heredity) [Supplementary Materials]
33. Lin W-Y* (2022). Genome-wide
association study for four measures of epigenetic age acceleration and
two epigenetic surrogate markers using DNA methylation data from Taiwan
Biobank. Human Molecular Genetics, 31, 1860-1870. (SCI, IF = 6.150, 23/176 = 13% in category: Genetics & Heredity) [Author's Copy of the Paper]
32. Lin W-Y* (2022). Lifestyle
factors and genetic variants on two biological age measures: evidence from
94,443 Taiwan Biobank participants. Journals
of Gerontology: Medical Sciences, 77, 1189-1198. (SSCI, IF = 6.053, 1/36 = 3% in category: Gerontology). [Author's Copy of the Paper] [Author's Copy of the Supplementary Materials] [Slides in PDF] [Slides in PPT]
31. Lin W-Y*, Wang Y-C, Teng I-H, Liu C, Lou X-Y (2021). Associations of five obesity metrics with epigenetic age acceleration: Evidence from 2,474 Taiwan Biobank participants. Obesity, 29, 1731-1738. (SCI, IF = 5.002, 24/88 = 27% in category: Nutrition & Dietetics). [Authors' Copy of the Paper] [Slides in PDF] [Slides in PPT]
30. Lin W-Y* (2021). A
large-scale observational study linking various kinds of physical exercise to
lipoprotein-lipid profile. Journal
of the International Society of Sports Nutrition, 18, Article number: 35. (11 pages). (SCI, IF = 5.159, 9/88 = 10% in category: Sport Sciences).
29. Lu
C-C, Yen R-F, Peng K-Y, Huang JY, Wu K-D, Chueh JS, Lin W-Y* (2021). NP-59 Adrenal
Scintigraphy as an Imaging Biomarker to Predict KCNJ5 Mutation in Primary
Aldosteronism Patients. Frontiers in Endocrinology, 12, Article number: 644927. (9 pages). (SCI, IF = 5.555, 32/146 = 22% in category: Endocrinology & Metabolism).
28. Lin W-Y*, Liu Y-L, Yang AC, Tsai S-J, Kuo P-H* (2020). Active
cigarette smoking is associated with an exacerbation of genetic susceptibility
to diabetes. Diabetes, 69, 2819-2829. (SCI, IF = 9.461, 11/146 = 8% in category: Endocrinology & Metabolism) [Authors' Copy of the paper] [Authors' Copy of the Supplementary Materials]
27. Lin W-Y*, Lin Y-S, Chan C-C, Liu Y-L, Tsai S-J, Kuo P-H (2020). Using genetic risk
score approaches to infer whether an environmental factor attenuates or
exacerbates the adverse influence of a candidate gene. Frontiers
in Genetics, 11, Article 331 (13 pages). (SCI, IF = 4.599, 48/176 = 27% in category: Genetics & Heredity) [Supplementary Materials] [中文簡介] [Slides for Talk at Academia Sinica] [Slides for Talk at TASM]
26. Lin W-Y*, Chan C-C, Liu Y-L, Yang AC, Tsai S-J, Kuo P-H* (2020). Sex-specific autosomal genetic effects across 26 human complex traits. Human Molecular Genetics, 29, 1218-1228. (SCI, IF = 6.150, 23/176 = 13% in category: Genetics & Heredity) [Authors' Copy of the paper] [Authors' Copy of the Supplementary Materials] [中文簡介]
25. Lin W-Y*, Huang C-C, Liu Y-L, Tsai S-J, Kuo P-H (2019). Polygenic approaches to detect gene-environment interactions when external information is unavailable. Briefings in Bioinformatics, 20: 2236-2252. (SCI, IF = 11.622, 2/58 = 3% in category: Mathematical & Computational Biology) [Software] [A poster to briefly introduce this study]
24. Lin W-Y*, Chan C-C, Liu Y-L, Yang AC, Tsai S-J, Kuo P-H* (2019). Performing
different kinds of physical exercise differentially attenuates the genetic
effects on obesity measures: evidence from 18,424 Taiwan Biobank participants. PLOS Genetics, 15(8): e1008277 (21 pages). (SCI, IF = 5.917, 27/176 = 15% in category: Genetics & Heredity) [Powerpoint of a Special Talk] [Slides for 108CSAT] [Slides for MCP 2019] [中文簡介]
23. Lin W-Y*, Huang C-C, Liu Y-L, Tsai S-J, Kuo P-H (2019). Genome-wide
gene-environment interaction analysis using set-based association tests. Frontiers
in Genetics, 9, Article 715 (15 pages). (SCI, IF = 4.599, 48/176 = 27% in category: Genetics & Heredity) [Software] 22. Lin W-Y*, Chen
WJ, Liu C-M, Hwu H-G, McCarroll SA, Glatt SJ, Tsuang MT (2017). Adaptive
combination of Bayes factors as a powerful method for the joint analysis of
rare and common variants. Scientific Reports, 7: 13858 (13 pages). (SCI, IF = 4.379, 17/73 = 23% in category: MULTIDISCIPLINARY SCIENCES) [Software] [A poster to briefly introduce this study]
21. Lin W-Y* (2016). Beyond
rare-variant association testing: Pinpointing rare causal variants in
case-control sequencing study. Scientific Reports, 6: 21824. [Software]
20. Lin W-Y*, Liang Y-C (2016). Conditioning
adaptive combination of P-values
method to analyze case-parent trios with or without population controls. Scientific Reports, 6: 28389. [Software] [R-code to analyze the GAW18 data] [Introduction by the Association of Schools and Programs of Public Health] 19. Lin W-Y* (2014). Adaptive Combination of P-values for Family-based
Association Testing with Sequence Data. PLoS ONE, 9: e115971.
18. Lin W-Y* (2014). Association
Testing of Clustered Rare Causal Variants in Case-Control Studies. PLoS ONE, 9: e94337. [Software]
17. Lin W-Y*, Lou XY, Gao G, Liu N* (2014). Rare Variant
Association Testing by Adaptive Combination of P-values. PLoS ONE, 9: e85728. [Software]
16. Lin W-Y,
Dubuisson O, Rubicz R, Liu N, Allison DB, Curran JE, Comuzzie AG, Blangero J, Leach
CT, Goring H, Dhurandhar NV* (2013). Response to Comment on: Lin et al. Long-Term Changes
in Adiposity and Glycemic Control Are Associated With Past Adenovirus
Infection. Diabetes Care 2013;36:701-707. Diabetes Care, 36: e162. [PMC Free Full text]
15. Lin W-Y*, Yi N, Lou XY, Zhi D, Zhang K, Gao G, Tiwari HK, Liu N* (2013). Haplotype Kernel Association Test as a Powerful Method to Identify
Chromosomal Regions Harboring Uncommon Causal Variants. Genetic Epidemiology, 37: 560-570. [Software] [PMC Free Full text]
14. Lin W-Y,
Dubuisson O, Rubicz R, Liu N, Allison DB, Curran JE, Comuzzie AG, Blangero J, Leach
CT, Goring H, Dhurandhar NV* (2013). Long-term changes in adiposity and glycemic
control are associated with past adenovirus infection. Diabetes Care, 36: 701-707. [PMC Free Full text]
13. Lin W-Y, Yi N, Zhi D, Zhang K, Gao G, Tiwari HK, Liu N*
(2012). Haplotype-based methods for detecting uncommon causal variants with
common SNPs. Genetic Epidemiology, 36: 572-582. [Software] [PMC Free Full text]
12. Lin W-Y, Liu N* (2012). Reducing
bias of allele frequency estimates by modeling SNP genotype data with informative
missingness. Frontiers in Genetics,
3: 107.
11. Lin W-Y*, Lee W-C (2012). Improving
power of genome-wide association studies with weighted false discovery rate control
and prioritized subset analysis. PLoS ONE, 7: e33716.
10. Lin W-Y, Tiwari HK, Gao G, Zhang K, Arcaroli JJ, Abraham
E, Liu N* (2012). Similarity-based multimarker
association tests for continuous traits. Annals of Human Genetics, 76: 246-260. [Software] [PMC Free Full text]
9. Lin W-Y, Lee W-C* (2012). Presenting
the uncertainties of odds ratios using empirical-Bayes prediction intervals. PLoS ONE, 7: e32022.
8. Lin W-Y, Zhang B, Yi N, Gao G, Liu N* (2011). Evaluation of pooled association tests for
rare variant identification. BMC
Proceedings, 5 (Suppl 9): S118.
7. Lin W-Y, Lee W-C* (2011). Floating prioritized
subset analysis: a powerful method to detect differentially expressed genes. Computational
Statistics and Data Analysis, 55:
903-913. [Software] [Authors' copy of the paper]
6. Lin W-Y*, Lee W-C (2010). Discovering joint associations between disease and
gene pairs with a novel similarity test. BMC
Genetics, 11: 86.
5. Lin W-Y, Lee W-C* (2010). Incorporating prior knowledge to facilitate
discoveries in a genome-wide association study on age-related macular degeneration. BMC Research
Notes, 3: 26.
4. Lin W-Y, Schaid DJ* (2009). Power comparisons between similarity-based
multilocus association methods, logistic regression, and score tests for
haplotypes. Genetic Epidemiology, 33: 183-197. [PMC Free Full text]
3. Lin W-Y, Schaid DJ* (2007). Robust multipoint simultaneous
identical-by-descent mapping for two linked loci. Human Heredity, 63:
35-46. [Software] [Authors' copy of the paper]
2. Lin W-Y, Schaid DJ* (2007). Identifying single-nucleotide
polymorphisms responsible for the linkage signal of rheumatoid arthritis on
chromosome 6 by joint modeling of linkage and association. BMC Proceedings, 1 (Suppl 1): S40.
1. Schaid
DJ*, Lin W-Y (2007). One- and
two-locus models for mapping rheumatoid arthritis-susceptibility genes on
chromosome 6. BMC Proceedings, 1 (Suppl 1): S103.
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More can be found from PubMed
14. Yang S-Y*, Lin J-M, Lin W-Y, Chang C-W (2018). Cancer
Risk Assessment for Occupational Exposure to Chromium and Nickel in
Welding Fumes from Pipeline Construction, Pressure Container
Manufacturing, and Shipyard Building in Taiwan. Journal of Occupational Health, in press.
13. Lee
S-H, Tang C-H, Lin W-Y, Chen K-H, Liang H-J, Cheng T-J, Lin C-Y* (2018). LC-MS-based lipidomics to examine acute rat
pulmonary responses after nano- and fine-sized ZnO particle inhalation exposure. Nanotoxicology, 12: 439-452.
12. Wu
C, Chen C-H, Chen H-C, Liang H-J, Chen S-T, Lin W-Y, Wu K-Y, Chiang S-Y*, Lin C-Y*
(2017). Nuclear magnetic resonance- and mass spectrometry-based metabolomics to
study maleic acid toxicity from repeated dose exposure in rats. Journal of
Applied Toxicology, 37: 1493-1506.
11. Pan
S-Y, Chiang W-C, Chen P-M, Liu H-H, Chou Y-H, Lai T-S, Lai C-F, Chiu Y-L, Lin
W-Y, Chen Y-M, Chu T-S*, Lin S-L* (2017). Restricted Use of
Erythropoiesis-Stimulating Agent is Safe and Associated with Deferred Dialysis
Initiation in Stage 5 Chronic Kidney Disease. Scientific Reports, 7: 44013.
10. Yang Y-H, Lin W-Y, Lee W-C* (2016). A
fuzzy permutation method for false discovery rate control. Scientific Reports, 6: 28507.
9. Yan
Q, Weeks DE, Tiwari HK, Yi N, Zhang K, Gao G, Lin W-Y, Lou X-Y, Chen W*, Liu N* (2016). Rare-variant kernel machine test for longitudinal
data from population and family samples. Human
Heredity, 80: 126-138. [PMC Free Full text]
8. Yan Q, Weeks DE, Celedón JC, Tiwari HK, Li B, Wang
X, Lin W-Y, Lou X-Y, Gao G, Chen W* , Liu N* (2015). Associating multivariate quantitative phenotypes
with genetic variants in family samples with a novel kernel machine regression method.
Genetics, 201: 1329-1339. [PMC Free Full text]
7. Yan Q, Tiwari HK, Yi N, Gao G, Zhang K, Lin W-Y,
Lou XY, Cui X, Liu N* (2015). A sequence kernel association
test for dichotomous traits in family samples under a generalized linear mixed model.
Human Heredity, 79: 60-68. [PMC Free Full text]
6. Xu
HM, Sun XW, Qi T, Lin W-Y, Liu N,
Lou XY* (2014). Multivariate dimensionality reduction approaches to
identify gene-gene and gene-environment interactions underlying multiple
complex traits. PLoS ONE, 9: e108103.
5. Yan Q, Tiwari HK, Yi N, Lin W-Y, Gao G, Lou X-Y, Cui X, Liu N* (2014). Kernel-Machine Testing Coupled with a
Rank-Truncation Method for Genetic Pathway Analysis. Genetic Epidemiology, 38: 447-456. [PMC Free Full text]
4. Chen Y-M, Lin W-Y, Chan C-C* (2014). The
impact of petrochemical industrialisation on life expectancy and per capita
income in Taiwan: an 11-year longitudinal study. BMC Public Health, 14: 247.
3. Li P, Tiwari HK, Lin W-Y, Allison DB, Chung WK, Leibel RL, Yi N*, Liu N* (2014). Genetic
Association Analysis of 30 Genes Related to Obesity in European American
Population. International Journal of Obesity, 38: 724-729. [PMC Free Full text]
2. Yang
Q*, Biernacka JM, Chen M-H, Houwing-Duistermaat JJ, Bergemann TL, Basu S, Fan
R, Liu L, Bourgey M, Clerget-Darpoux F, Lin
W-Y, Elston RC, Cupples LA* (2007). Using linkage and association to
identify and model genetic effects: Summary of GAW 15 Group 4. Genetic Epidemiology, 31
Suppl 1: S34-S42.
1. Ghosh
S*, Babron MC, Amos CI, Briollais L, Chen P, Chen WV, Chiu YF, Drigalenko E,
Etzel CJ, Hamshere ML, Holmans PA, Margaritte-Jeannin P, Lebrec JJ, Lin S, Lin W-Y, Mandhyan DD, Nishchenko I,
Schaid DJ, Seguardo R, Shete S, Taylor K, Tayo BO, Wan S, Wei LY, Wu CO, Yang
XR (2007). Linkage
analyses of rheumatoid arthritis and related quantitative phenotypes: the GAW15
experience. Genetic
Epidemiology, 31 Suppl 1: S86-S95.
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