Literature DB >> 10545756

The future of path analysis, segregation analysis, and combined models for genetic dissection of complex traits.

D C Rao1, M A Province.   

Abstract

Appropriate combined models are discussed for the analysis of complex traits. It is argued that combined models may be necessary for optimally extracting the information from family studies. It is further argued that, especially as we face genes with much smaller effects, our ability to find these genes will depend on how precisely and accurately we are able to model the interrelationships. We need these newer models and methods for optimally extracting the information from family data, and we also need to reorient ourselves as to how we interpret the very information extracted. It is projected that path and segregation analysis, as seen in terms of combined models, will be useful in the new millennium.

Mesh:

Year:  2000        PMID: 10545756     DOI: 10.1159/000022889

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  12 in total

Review 1.  Genetics of schizophrenia and the new millennium: progress and pitfalls.

Authors:  M Baron
Journal:  Am J Hum Genet       Date:  2001-01-17       Impact factor: 11.025

2.  A genomewide search for type 2 diabetes-susceptibility genes in indigenous Australians.

Authors:  Frances Busfield; David L Duffy; Janine B Kesting; Shelley M Walker; Paul K Lovelock; David Good; Heather Tate; Denise Watego; Maureen Marczak; Noel Hayman; Joanne T E Shaw
Journal:  Am J Hum Genet       Date:  2001-12-12       Impact factor: 11.025

3.  Pleiotropy, homeostasis, and functional networks based on assays of cardiovascular traits in genetically randomized populations.

Authors:  Joseph H Nadeau; Lindsay C Burrage; Joe Restivo; Yoh-Han Pao; Gary Churchill; Brian D Hoit
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

4.  Genome-wide linkage scans for prediabetes phenotypes in response to 20 weeks of endurance exercise training in non-diabetic whites and blacks: the HERITAGE Family Study.

Authors:  P An; M Teran-Garcia; T Rice; T Rankinen; S J Weisnagel; R N Bergman; R C Boston; S Mandel; D Stefanovski; A S Leon; J S Skinner; D C Rao; C Bouchard
Journal:  Diabetologia       Date:  2005-05-03       Impact factor: 10.122

5.  Consistently replicating locus linked to migraine on 10q22-q23.

Authors:  Verneri Anttila; Dale R Nyholt; Mikko Kallela; Ville Artto; Salli Vepsäläinen; Eveliina Jakkula; Annika Wennerström; Päivi Tikka-Kleemola; Mari A Kaunisto; Eija Hämäläinen; Elisabeth Widén; Joseph Terwilliger; Kathleen Merikangas; Grant W Montgomery; Nicholas G Martin; Mark Daly; Jaakko Kaprio; Leena Peltonen; Markus Färkkilä; Maija Wessman; Aarno Palotie
Journal:  Am J Hum Genet       Date:  2008-05       Impact factor: 11.025

6.  Linkage of Paget disease of bone to a novel region on human chromosome 18q23.

Authors:  David A Good; Frances Busfield; Barbara H Fletcher; David L Duffy; Janine B Kesting; John Andersen; Joanne T E Shaw
Journal:  Am J Hum Genet       Date:  2001-12-07       Impact factor: 11.025

7.  Novel pathway analysis of genomic polymorphism-cancer risk interaction in the Breast Cancer Prevention Trial.

Authors:  Barbara K Dunn; Mark H Greene; Jenny M Kelley; Joseph P Costantino; Robert J Clifford; Ying Hu; Gong Tang; Neely Kazerouni; Philip S Rosenberg; Daoud M Meerzaman; Kenneth H Buetow
Journal:  Int J Mol Epidemiol Genet       Date:  2010-09-05

8.  Estimating a multivariate familial correlation using joint models for canonical correlations: application to memory score analysis from familial Hispanic Alzheimer's disease study.

Authors:  Hye-Seung Lee; Myunghee Cho Paik; Joseph H Lee
Journal:  Biometrics       Date:  2008-05-19       Impact factor: 2.571

9.  Whole-exome sequencing and an iPSC-derived cardiomyocyte model provides a powerful platform for gene discovery in left ventricular hypertrophy.

Authors:  D Zhi; M R Irvin; C C Gu; A J Stoddard; R Lorier; A Matter; D C Rao; V Srinivasasainagendra; H K Tiwari; A Turner; U Broeckel; D K Arnett
Journal:  Front Genet       Date:  2012-05-28       Impact factor: 4.599

10.  Mapping loci influencing blood pressure in the Framingham pedigrees using model-free LOD score analysis of a quantitative trait.

Authors:  Jo Knight; Bernard V North; Pak C Sham; David Curtis
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

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