Literature DB >> 25519310

Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees.

Heike Bickeböller1, Julia N Bailey2, Joseph Beyene3, Rita M Cantor4, Heather J Cordell5, Robert C Culverhouse6, Corinne D Engelman7, David W Fardo8, Saurabh Ghosh9, Inke R König10, Justo Lorenzo Bermejo11, Phillip E Melton12, Stephanie A Santorico13, Glen A Satten14, Lei Sun15, Nathan L Tintle16, Andreas Ziegler17, Jean W MacCluer18, Laura Almasy18.   

Abstract

Genetic Analysis Workshop 18 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence data from a pedigree-based sample. In this article we present an overview of the data sets and the contributions that analyzed these data. The family data, donated by the Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Ethnic Samples Consortium, included sequence-level genotypes based on sequencing and imputation, genome-wide association genotypes from prior genotyping arrays, and phenotypes from longitudinal assessments. The contributions from individual research groups were extensively discussed before, during, and after the workshop in theme-based discussion groups before being submitted for publication.

Entities:  

Year:  2014        PMID: 25519310      PMCID: PMC4143625          DOI: 10.1186/1753-6561-8-S1-S1

Source DB:  PubMed          Journal:  BMC Proc        ISSN: 1753-6561


  1 in total

1.  Data for Genetic Analysis Workshop 18: human whole genome sequence, blood pressure, and simulated phenotypes in extended pedigrees.

Authors:  Laura Almasy; Thomas D Dyer; Juan M Peralta; Goo Jun; Andrew R Wood; Christian Fuchsberger; Marcio A Almeida; Jack W Kent; Sharon Fowler; Tom W Blackwell; Sobha Puppala; Satish Kumar; Joanne E Curran; Donna Lehman; Goncalo Abecasis; Ravindranath Duggirala; John Blangero
Journal:  BMC Proc       Date:  2014-06-17
  1 in total
  6 in total

1.  Practical barriers and ethical challenges in genetic data sharing.

Authors:  Claire L Simpson; Aaron J Goldenberg; Rob Culverhouse; Denise Daley; Robert P Igo; Gail P Jarvik; Diptasri M Mandal; Deborah Mascalzoni; Courtney Gray Montgomery; Brandon Pierce; Rosemarie Plaetke; Sanjay Shete; Katrina A B Goddard; Catherine M Stein
Journal:  Int J Environ Res Public Health       Date:  2014-08-15       Impact factor: 3.390

2.  Longitudinal analytical approaches to genetic data.

Authors:  Yen-Feng Chiu; Anne E Justice; Phillip E Melton
Journal:  BMC Genet       Date:  2016-02-03       Impact factor: 2.797

3.  Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association.

Authors:  Kelsey E Grinde; Jaron Arbet; Alden Green; Michael O'Connell; Alessandra Valcarcel; Jason Westra; Nathan Tintle
Journal:  Front Genet       Date:  2017-09-14       Impact factor: 4.599

4.  Impact of Population Stratification on Family-Based Association in an Admixed Population.

Authors:  T B Mersha; L Ding; H He; E S Alexander; X Zhang; B G Kurowski; V Pilipenko; L Kottyan; L J Martin; D W Fardo
Journal:  Int J Genomics       Date:  2015-05-04       Impact factor: 2.758

5.  A rapid epistatic mixed-model association analysis by linear retransformations of genomic estimated values.

Authors:  Chao Ning; Dan Wang; Huimin Kang; Raphael Mrode; Lei Zhou; Shizhong Xu; Jian-Feng Liu
Journal:  Bioinformatics       Date:  2018-06-01       Impact factor: 6.937

6.  Longitudinal linear combination test for gene set analysis.

Authors:  Elham Khodayari Moez; Morteza Hajihosseini; Jeffrey L Andrews; Irina Dinu
Journal:  BMC Bioinformatics       Date:  2019-12-10       Impact factor: 3.169

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.