Two-level Haseman-Elston regression for general pedigree data analysis

2005 ◽  
Vol 29 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Tao Wang ◽  
Robert C. Elston
Keyword(s):  
Data Analysis ◽  
Pedigree Data ◽  
General Pedigree

A Bayesian structural equation model in general pedigree data analysis

2019 ◽  
Vol 12 (5) ◽  
pp. 404-411
Author(s):  
Mahdi Akbarzadeh ◽  
Abbas Moghimbeigi ◽  
Nathan Morris ◽  
Maryam S. Daneshpour ◽  
Hossein Mahjub ◽  
...  
Keyword(s):  
Data Analysis ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Pedigree Data ◽  
General Pedigree

Pedigree Data Analysis With Crossover Interference

Genetics ◽  
2003 ◽  
Vol 164 (4) ◽  
pp. 1561-1566
Author(s):  
Sharon Browning
Keyword(s):  
Data Analysis ◽  
Linkage Analysis ◽  
Importance Sampling ◽  
Genetic Data ◽  
Genotype Data ◽  
Pedigree Data ◽  
Chi Square ◽  
Crossover Interference ◽  
Map Construction ◽  
Interference Models

AbstractWe propose a new method for calculating probabilities for pedigree genetic data that incorporates crossover interference using the chi-square models. Applications include relationship inference, genetic map construction, and linkage analysis. The method is based on importance sampling of unobserved inheritance patterns conditional on the observed genotype data and takes advantage of fast algorithms for no-interference models while using reweighting to allow for interference. We show that the method is effective for arbitrarily many markers with small pedigrees.

Extension of variance components approach to incorporate temporal trends and longitudinal pedigree data analysis

2002 ◽  
Vol 22 (3) ◽  
pp. 221-232 ◽  
Author(s):  
Mariza de Andrade ◽  
René Guéguen ◽  
Sophie Visvikis ◽  
Catherine Sass ◽  
Gérard Siest ◽  
...  
Keyword(s):  
Data Analysis ◽  
Variance Components ◽  
Temporal Trends ◽  
Pedigree Data

Detection of parent-of-origin effects for quantitative traits using general pedigree data

2014 ◽  
Vol 93 (2) ◽  
pp. 339-347 ◽  
Author(s):  
HAI-QIANG HE ◽  
WEI-GAO MAO ◽  
DONGDONG PAN ◽  
JI-YUAN ZHOU ◽  
PING-YAN CHEN ◽  
...  
Keyword(s):  
Quantitative Traits ◽  
Pedigree Data ◽  
General Pedigree ◽  
Parent Of Origin ◽  
Origin Effects

Missing phenotype data imputation in pedigree data analysis

2008 ◽  
Vol 32 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Brooke L. Fridley ◽  
Mariza de Andrade
Keyword(s):  
Data Analysis ◽  
Data Imputation ◽  
Pedigree Data ◽  
Phenotype Data

scholarly journals A powerful association test for qualitative traits incorporating imprinting effects using general pedigree data

2014 ◽  
Vol 60 (2) ◽  
pp. 77-83 ◽  
Author(s):  
Ji-Yuan Zhou ◽  
Hai-Qiang He ◽  
Xiao-Ping You ◽  
Shao-Zhan Li ◽  
Ping-Yan Chen ◽  
...  
Keyword(s):  
Association Test ◽  
Pedigree Data ◽  
Qualitative Traits ◽  
General Pedigree

scholarly journals Detection of parent-of-origin effects using general pedigree data

2009 ◽  
Vol 34 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Ji-Yuan Zhou ◽  
Jie Ding ◽  
Wing K. Fung ◽  
Shili Lin
Keyword(s):  
Pedigree Data ◽  
General Pedigree ◽  
Parent Of Origin ◽  
Origin Effects

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

Sign in / Sign up

Export Citation Format

Share Document