Literature DB >> 24186112

The finite polygenic mixed model: An alternative formulation for the mixed model of inheritance.

R L Fernando1, C Stricker, R C Elston.   

Abstract

This paper presents a mixed model of inheritance with a finite number of polygenic loci. This model leads to a likelihood that can be calculated using efficient algorithms developed for oligogenic models. For comparison, likelihood profiles were obtained for the finite polygenic mixed model, the usual mixed model, with exact and approximate calculations, and for a class D regressive model. The profiles for the finite polygenic mixed model were closest to the profiles for the usual mixed model with exact calculations.

Year:  1994        PMID: 24186112     DOI: 10.1007/BF01240920

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  16 in total

1.  Extensions to pedigree analysis I. Likehood calculations for simple and complex pedigrees.

Authors:  K Lange; R C Elston
Journal:  Hum Hered       Date:  1975       Impact factor: 0.444

2.  Search for faster methods of fitting the regressive models to quantitative traits.

Authors:  F M Demenais; C Murigande; G E Bonney
Journal:  Genet Epidemiol       Date:  1990       Impact factor: 2.135

3.  Compound regressive models for family data.

Authors:  G E Bonney
Journal:  Hum Hered       Date:  1992       Impact factor: 0.444

4.  Fast computation of genetic likelihoods on human pedigree data.

Authors:  T M Goradia; K Lange; P L Miller; P M Nadkarni
Journal:  Hum Hered       Date:  1992       Impact factor: 0.444

5.  A variance components/major locus likelihood approximation on quantitative data.

Authors:  S J Hasstedt
Journal:  Genet Epidemiol       Date:  1991       Impact factor: 2.135

6.  Equivalence of the mixed and regressive models for genetic analysis. I. Continuous traits.

Authors:  F M Demenais; G E Bonney
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

7.  Segregation analysis of quantitative traits in nuclear families: comparison of three program packages.

Authors:  L W Konigsberg; C M Kammerer; J W MacCluer
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

8.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

9.  A mixed-model likelihood approximation on large pedigrees.

Authors:  S J Hasstedt
Journal:  Comput Biomed Res       Date:  1982-06

10.  Probability calculations in pedigrees under complex modes of inheritance.

Authors:  J M Lalouel
Journal:  Hum Hered       Date:  1980       Impact factor: 0.444

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  12 in total

1.  After BRCA1 and BRCA2-what next? Multifactorial segregation analyses of three-generation, population-based Australian families affected by female breast cancer.

Authors:  J Cui; A C Antoniou; G S Dite; M C Southey; D J Venter; D F Easton; G G Giles; M R McCredie; J L Hopper
Journal:  Am J Hum Genet       Date:  2000-12-27       Impact factor: 11.025

2.  A segregation analysis of Barrett's esophagus and associated adenocarcinomas.

Authors:  Xiangqing Sun; Robert Elston; Jill Barnholtz-Sloan; Gary Falk; William M Grady; Margaret Kinnard; Sumeet K Mittal; Joseph E Willis; Sanford Markowitz; Wendy Brock; Amitabh Chak
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-03       Impact factor: 4.254

3.  A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.

Authors:  Mark A Jenkins; Polly A Newcomb; Yingye Zheng; Xinwei Hua; Aung K Win; Robert J MacInnis; Steven Gallinger; Loic Le Marchand; Noralane M Lindor; John A Baron; John L Hopper; James G Dowty; Antonis C Antoniou; Jiayin Zheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-01-13       Impact factor: 4.254

4.  A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact.

Authors:  Robert J Macinnis; Antonis C Antoniou; Rosalind A Eeles; Gianluca Severi; Ali Amin Al Olama; Lesley McGuffog; Zsofia Kote-Jarai; Michelle Guy; Lynne T O'Brien; Amanda L Hall; Rosemary A Wilkinson; Emma Sawyer; Audrey T Ardern-Jones; David P Dearnaley; Alan Horwich; Vincent S Khoo; Christopher C Parker; Robert A Huddart; Nicholas Van As; Margaret R McCredie; Dallas R English; Graham G Giles; John L Hopper; Douglas F Easton
Journal:  Genet Epidemiol       Date:  2011-07-18       Impact factor: 2.135

5.  Genetic heterogeneity of oesophageal cancer in high-incidence areas of southern and northern China.

Authors:  Zhang Guohong; Su Min; Wang Duenmei; Hu Songnian; Liu Min; Li Jinsong; Lin Hongbin; Zhang Feng; Tian Dongping; Yang Heling; Liu Zhicai; Lian Shiyong; Guo Quansheng; Li Xiaoyun; Gao Yuxia
Journal:  PLoS One       Date:  2010-03-15       Impact factor: 3.240

6.  Linkage analysis of adult height in a large pedigree from a Dutch genetically isolated population.

Authors:  Tatiana I Axenovich; I V Zorkoltseva; N M Belonogova; M V Struchalin; A V Kirichenko; M Kayser; B A Oostra; C M van Duijn; Y S Aulchenko
Journal:  Hum Genet       Date:  2009-05-24       Impact factor: 4.132

7.  Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer.

Authors:  Aung Ko Win; Mark A Jenkins; James G Dowty; Antonis C Antoniou; Andrew Lee; Graham G Giles; Daniel D Buchanan; Mark Clendenning; Christophe Rosty; Dennis J Ahnen; Stephen N Thibodeau; Graham Casey; Steven Gallinger; Loïc Le Marchand; Robert W Haile; John D Potter; Yingye Zheng; Noralane M Lindor; Polly A Newcomb; John L Hopper; Robert J MacInnis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-10-31       Impact factor: 4.254

8.  A review of the 'Statistical Analysis for Genetic Epidemiology' (S.A.G.E.) software package.

Authors:  Robert C Elston; Courtney Gray-McGuire
Journal:  Hum Genomics       Date:  2004-11       Impact factor: 4.639

9.  Estimating single nucleotide polymorphism associations using pedigree data: applications to breast cancer.

Authors:  D R Barnes; D Barrowdale; J Beesley; X Chen; P A James; J L Hopper; D Goldgar; G Chenevix-Trench; A C Antoniou; G Mitchell
Journal:  Br J Cancer       Date:  2013-06-11       Impact factor: 7.640

10.  A hierarchical statistical model for estimating population properties of quantitative genes.

Authors:  Samuel S Wu; Chang-Xing Ma; Rongling Wu; George Casella
Journal:  BMC Genet       Date:  2002-06-12       Impact factor: 2.797

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