1,852
Views
24
CrossRef citations to date
0
Altmetric
Applications and Case Studies

A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies

&
Pages 975-990 | Received 16 Feb 2017, Accepted 28 Jul 2018, Published online: 26 Feb 2019

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Mingya Long, Zhengbang Li, Wei Zhang & Qizhai Li. (2023) The Cauchy Combination Test under Arbitrary Dependence Structures. The American Statistician 77:2, pages 134-142.
Read now
Yaowu Liu & Jun Xie. (2020) Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures. Journal of the American Statistical Association 115:529, pages 393-402.
Read now

Articles from other publishers (22)

Kelin Xu, Yingzhe Wang, Yanfeng Jiang, Yawen Wang, Peixi Li, Heyang Lu, Chen Suo, Ziyu Yuan, Qi Yang, Qiang Dong, Li Jin, Mei Cui & Xingdong Chen. (2024) Analysis of gait pattern related to high cerebral small vessel disease burden using quantitative gait data from wearable sensors. Computer Methods and Programs in Biomedicine 250, pages 108162.
Crossref
Wenyuan Sun, Kyongson Jon & Wensheng Zhu. (2024) Multiple phenotype association tests based on sliced inverse regression. BMC Bioinformatics 25:1.
Crossref
Lili Wang, Nikita Babushkin, Zhonghua Liu & Xuanyao Liu. (2024) Trans-eQTL mapping in gene sets identifies network effects of genetic variants. Cell Genomics 4:4, pages 100538.
Crossref
Yanyan Zhao & Lei Sun. (2023) A stable and adaptive polygenic signal detection method based on repeated sample splitting. Canadian Journal of Statistics 52:1, pages 79-97.
Crossref
Ryan Sun, Andy Shi & Xihong Lin. (2024) Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies. Biostatistics 25:1, pages 171-187.
Crossref
Julien St-Pierre & Karim Oualkacha. (2023) A copula-based set-variant association test for bivariate continuous, binary or mixed phenotypes. The International Journal of Biostatistics 19:2, pages 369-387.
Crossref
Qiaolan Deng, Chi Song & Shili Lin. (2023) An adaptive and robust method for multi-trait analysis of genome-wide association studies using summary statistics. European Journal of Human Genetics.
Crossref
Deliang Bu, Xiao Wang & Qizhai Li. (2023) Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants. Bioinformatics 39:4.
Crossref
Meida Wang, Xuewei Cao, Shuanglin Zhang & Qiuying Sha. (2023) A clustering linear combination method for multiple phenotype association studies based on GWAS summary statistics. Scientific Reports 13:1.
Crossref
Yuxi Liu, Hongjie Chen, John Heine, Sara Lindstrom, Constance Turman, Erica T. Warner, Stacey J. Winham, Celine M. Vachon, Rulla M. Tamimi, Peter Kraft & Xia Jiang. (2022) A genome-wide association study of mammographic texture variation. Breast Cancer Research 24:1.
Crossref
Wenan Chen, Brandon J. Coombes & Nicholas B. Larson. (2022) Recent advances and challenges of rare variant association analysis in the biobank sequencing era. Frontiers in Genetics 13.
Crossref
De-liang Bu, San-guo Zhang & Na Li. (2022) Analyzing Multiple Phenotypes Based on Principal Component Analysis. Acta Mathematicae Applicatae Sinica, English Series 38:4, pages 843-860.
Crossref
Jianqiao Wang, Wanjie Wang & Hongzhe Li. (2022) Sparse block signal detection and identification for shared cross-trait association analysis. The Annals of Applied Statistics 16:2.
Crossref
Chun Chieh Fan, Robert Loughnan, Carolina Makowski, Diliana Pecheva, Chi-Hua Chen, Donald J. HaglerJr.Jr., Wesley K. Thompson, Nadine Parker, Dennis van der Meer, Oleksandr Frei, Ole A. Andreassen & Anders M. Dale. (2022) Multivariate genome-wide association study on tissue-sensitive diffusion metrics highlights pathways that shape the human brain. Nature Communications 13:1.
Crossref
Wei Liu, Yuyang Xu, Anqi Wang, Tao Huang & Zhonghua Liu. (2021) The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics. Genetic Epidemiology 46:2, pages 89-104.
Crossref
Ye Eun Bae, Lang Wu & Chong Wu. (2021) InTACT: An adaptive and powerful framework for joint‐tissue transcriptome‐wide association studies. Genetic Epidemiology 45:8, pages 848-859.
Crossref
Yanyan Zhao & Lei Sun. (2020) On set‐based association tests: Insights from a regression using summary statistics. Canadian Journal of Statistics 49:3, pages 754-770.
Crossref
Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam Gordon, Iftikhar J. Kullo, Shawn Murphy, Yizhao Ni, Wei-Qi Wei, Ali Gharavi, Krzysztof Kiryluk, Chunhua Weng & Iuliana Ionita-Laza. (2021) Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies. npj Digital Medicine 4:1.
Crossref
Colleen M Sitlani, Antoine R Baldassari, Heather M Highland, Chani J Hodonsky, Barbara McKnight & Christy L Avery. (2021) Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies. Human Molecular Genetics 30:15, pages 1371-1383.
Crossref
Deliang Bu, Qinglong Yang, Zhen Meng, Sanguo Zhang & Qizhai Li. (2020) Truncated tests for combining evidence of summary statistics. Genetic Epidemiology 44:7, pages 687-701.
Crossref
Zhonghua Liu, Ian Barnett & Xihong Lin. (2020) A comparison of principal component methods between multiple phenotype regression and multiple SNP regression in genetic association studies. The Annals of Applied Statistics 14:1.
Crossref
Debashree Ray & Nilanjan Chatterjee. (2019) Effect of non-normality and low count variants on cross-phenotype association tests in GWAS. European Journal of Human Genetics 28:3, pages 300-312.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.