Literature DB >> 16963464

Statistical methods in genetics.

Giovanni Montana1.   

Abstract

In recent years, a very large variety of statistical methodologies, at various levels of complexity, have been put forward to analyse genotype data and detect genetic variations that may be responsible for increasing the susceptibility to disease. This review provides a concise account of a number of selected statistical methods for population-based association mapping, from single-marker tests of association to multi-marker data mining techniques for gene-gene interaction detection.

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Year:  2006        PMID: 16963464     DOI: 10.1093/bib/bbl028

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  5 in total

1.  THE ROLE OF ADIPONECTIN AND TOLL-LIKE RECEPTOR 4 GENE POLYMORPHISMS ON NON-PROLIFERATIVE RETINOPATHY IN TYPE 2 DIABETES MELLITUS PATIENTS. A CASE-CONTROL STUDY IN ROMANIAN CAUCASIANS PATIENTS.

Authors:  C S Aioanei; R F Ilies; C Bala; M F Petrisor; M D Porojan; R A Popp; A Catana
Journal:  Acta Endocrinol (Buchar)       Date:  2019 Jan-Mar       Impact factor: 0.877

2.  AFLP and MS-AFLP analysis of the variation within saffron crocus (Crocus sativus L.) germplasm.

Authors:  Matteo Busconi; Licia Colli; Rosa Ana Sánchez; Marcela Santaella; Marcelino De-Los-Mozos Pascual; Omar Santana; Marta Roldán; José-Antonio Fernández
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

3.  Association analysis between constructed SNPLDBs and GCA effects of 9 quality-related traits in parents of hybrid rice (Oryza sativa L.).

Authors:  Moaz S Eltahawy; Nour Ali; Imdad U Zaid; Dalu Li; Dina Abdulmajid; Lal Bux; Hui Wang; Delin Hong
Journal:  BMC Genomics       Date:  2020-01-09       Impact factor: 3.969

4.  Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.

Authors:  Waranyu Wongseree; Anunchai Assawamakin; Theera Piroonratana; Saravudh Sinsomros; Chanin Limwongse; Nachol Chaiyaratana
Journal:  BMC Bioinformatics       Date:  2009-09-17       Impact factor: 3.169

5.  Genetic Variations in Sweet Taste Receptor Gene Are Related to Chocolate Powder and Dietary Fiber Intake in Obese Children and Adolescents.

Authors:  Marina B Pioltine; Maria Edna de Melo; Aritânia S Santos; Alisson D Machado; Ariana E Fernandes; Clarissa T Fujiwara; Cintia Cercato; Marcio C Mancini
Journal:  J Pers Med       Date:  2018-01-29
  5 in total

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