A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis

作者: Rui Chen , Qiang Wei , Xiaowei Zhan , Xue Zhong , James S. Sutcliffe

DOI: 10.1093/BIOINFORMATICS/BTU860

关键词:

摘要: Motivation: A major focus of current sequencing studies for human genetics is to identify rare variants associated with complex diseases. Aside from reduced power detecting variants, controlling population stratification particularly challenging variants. Transmission/disequilibrium tests (TDT) based on family designs are robust and admixture, therefore provide an effective approach variant association eliminate spurious associations. To increase analysis, gene-based collapsing methods become standard approaches analyzing Existing that extend this strategy in families usually combine TDT statistics at individual lack the flexibility incorporating other genetic models. Results: In study, we describe a haplotype-based framework group-wise (gTDT) flexible encompass variety models such as additive, dominant compound heterozygous (CH) (i.e. recessive) well interactions. Unlike existing methods, gTDT constructs haplotypes by transmission when possible inherently takes into account linkage disequilibrium among Through extensive simulations showed type I error was correctly controlled under all investigated, remained true presence stratification. Under models, increased compared single marker TDT. Application autism exome data 118 trios identified potentially interesting candidate genes CH variants. Availability implementation: We implemented C++ source code detailed usage available authors’ website (https://medschool.vanderbilt.edu/cgg). Contact: ude.tlibrednav@il.nahsgnib or ude.phc@nehc.iew Supplementary information: Supplementary Bioinformatics online.

参考文章(47)
W J Ewens, R S Spielman, R E McGinnis, Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM). American Journal of Human Genetics. ,vol. 52, pp. 506- 516 ,(1993)
Bingshan Li, Dajiang J. Liu, Suzanne M. Leal, Identifying rare variants associated with complex traits via sequencing. Current protocols in human genetics. ,vol. 78, ,(2013) , 10.1002/0471142905.HG0126S78
Zongxiao He, Brian J. O’Roak, Joshua D. Smith, Gao Wang, Stanley Hooker, Regie Lyn P. Santos-Cortez, Biao Li, Mengyuan Kan, Nik Krumm, Deborah A. Nickerson, Jay Shendure, Evan E. Eichler, Suzanne M. Leal, Rare-Variant Extensions of the Transmission Disequilibrium Test: Application to Autism Exome Sequence Data American Journal of Human Genetics. ,vol. 94, pp. 33- 46 ,(2014) , 10.1016/J.AJHG.2013.11.021
MARÍA M. ABAD-GRAU, NURIA MEDINA-MEDINA, SERAFÍN MORAL, ROSANA MONTES-SOLDADO, SERGIO TORRES-SÁNCHEZ, FUENCISLA MATESANZ, INCREASING POWER BY USING HAPLOTYPE SIMILARITY IN A MULTIMARKER TRANSMISSION/DISEQUILIBRIUM TEST Journal of Bioinformatics and Computational Biology. ,vol. 11, pp. 1250014- ,(2013) , 10.1142/S021972001250014X
Olivier Delaneau, Bryan Howie, Anthony J. Cox, Jean-François Zagury, Jonathan Marchini, Haplotype Estimation Using Sequencing Reads American Journal of Human Genetics. ,vol. 93, pp. 687- 696 ,(2013) , 10.1016/J.AJHG.2013.09.002
Matthew R Nelson, Daniel Wegmann, Margaret G Ehm, Darren Kessner, Pamela St. Jean, Claudio Verzilli, Judong Shen, Zhengzheng Tang, Silviu-Alin Bacanu, Dana Fraser, Liling Warren, Jennifer Aponte, Matthew Zawistowski, Xiao Liu, Hao Zhang, Yong Zhang, Jun Li, Yun Li, Li Li, Peter Woollard, Simon Topp, Matthew D Hall, Keith Nangle, Jun Wang, Gonçalo Abecasis, Lon R Cardon, Sebastian Zöllner, John C Whittaker, Stephanie L Chissoe, John Novembre, Vincent Mooser, None, An Abundance of Rare Functional Variants in 202 Drug Target Genes Sequenced in 14,002 People Science. ,vol. 337, pp. 100- 104 ,(2012) , 10.1126/SCIENCE.1217876
K. Wang, M. Li, H. Hakonarson, ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data Nucleic Acids Research. ,vol. 38, ,(2010) , 10.1093/NAR/GKQ603
Michael J. Bamshad, Joshua M. Akey, , , , Jacob A. Tennessen, Abigail W. Bigham, Timothy D. O’Connor, Wenqing Fu, Eimear E. Kenny, Simon Gravel, Sean McGee, Ron Do, Xiaoming Liu, Goo Jun, Hyun Min Kang, Daniel Jordan, Suzanne M. Leal, Stacey Gabriel, Mark J. Rieder, Goncalo Abecasis, David Altshuler, Deborah A. Nickerson, Eric Boerwinkle, Shamil Sunyaev, Carlos D. Bustamante, Evolution and functional impact of rare coding variation from deep sequencing of human exomes Science. ,vol. 337, pp. 64- 69 ,(2012) , 10.1126/SCIENCE.1219240