Literature DB >> 18358323

Family-based methods for linkage and association analysis.

Nan M Laird1, Christoph Lange.   

Abstract

Traditional epidemiological study concepts such as case-control or cohort designs can be used in the design of genetic association studies, giving them a prominent role in genetic association analysis. A different class of designs based on related individuals, typically families, uses the concept of Mendelian transmission to achieve design-independent randomization, which permits the testing of linkage and association. Family-based designs require specialized analytic methods but they have distinct advantages: They are robust to confounding and variance inflation, which can arise in standard designs in the presence of population substructure; they test for both linkage and association; and they offer a natural solution to the multiple comparison problem. This chapter focuses on family-based designs. We describe some basic study designs as well as general approaches to analysis for qualitative, quantitative, and complex traits. Finally, we review available software.

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Year:  2008        PMID: 18358323     DOI: 10.1016/S0065-2660(07)00410-5

Source DB:  PubMed          Journal:  Adv Genet        ISSN: 0065-2660            Impact factor:   1.944


  35 in total

1.  Follow-up association study of linkage regions reveals multiple candidate genes for carotid plaque in Dominicans.

Authors:  Chuanhui Dong; Ashley Beecham; Liyong Wang; Susan H Blanton; Tatjana Rundek; Ralph L Sacco
Journal:  Atherosclerosis       Date:  2012-03-27       Impact factor: 5.162

2.  Joint testing of genotype and ancestry association in admixed families.

Authors:  Hua Tang; David O Siegmund; Nicholas A Johnson; Isabelle Romieu; Stephanie J London
Journal:  Genet Epidemiol       Date:  2010-12       Impact factor: 2.135

3.  A new method to account for missing data in case-parent triad studies.

Authors:  T L Bergemann; Z Huang
Journal:  Hum Hered       Date:  2009-07-22       Impact factor: 0.444

Review 4.  Family-based designs for genome-wide association studies.

Authors:  Jurg Ott; Yoichiro Kamatani; Mark Lathrop
Journal:  Nat Rev Genet       Date:  2011-06-01       Impact factor: 53.242

5.  A multiple regression method for genomewide association studies using only linkage information.

Authors:  Bujun Mei; Zhihua Wang
Journal:  J Genet       Date:  2018-06       Impact factor: 1.166

6.  Gene-environment interaction between the oxytocin receptor (OXTR) gene and parenting behaviour on children's theory of mind.

Authors:  Mark Wade; Thomas J Hoffmann; Jennifer M Jenkins
Journal:  Soc Cogn Affect Neurosci       Date:  2015-05-14       Impact factor: 3.436

7.  Suggestive evidence for association between L-type voltage-gated calcium channel (CACNA1C) gene haplotypes and bipolar disorder in Latinos: a family-based association study.

Authors:  Suzanne Gonzalez; Chun Xu; Mercedes Ramirez; Juan Zavala; Regina Armas; Salvador A Contreras; Javier Contreras; Albana Dassori; Robin J Leach; Deborah Flores; Alvaro Jerez; Henriette Raventós; Alfonso Ontiveros; Humberto Nicolini; Michael Escamilla
Journal:  Bipolar Disord       Date:  2013-03       Impact factor: 6.744

8.  A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4.

Authors:  Terri H Beaty; Jeffrey C Murray; Mary L Marazita; Ronald G Munger; Ingo Ruczinski; Jacqueline B Hetmanski; Kung Yee Liang; Tao Wu; Tanda Murray; M Daniele Fallin; Richard A Redett; Gerald Raymond; Holger Schwender; Sheng-Chih Jin; Margaret E Cooper; Martine Dunnwald; Maria A Mansilla; Elizabeth Leslie; Stephen Bullard; Andrew C Lidral; Lina M Moreno; Renato Menezes; Alexandre R Vieira; Aline Petrin; Allen J Wilcox; Rolv T Lie; Ethylin W Jabs; Yah Huei Wu-Chou; Philip K Chen; Hong Wang; Xiaoqian Ye; Shangzhi Huang; Vincent Yeow; Samuel S Chong; Sun Ha Jee; Bing Shi; Kaare Christensen; Mads Melbye; Kimberly F Doheny; Elizabeth W Pugh; Hua Ling; Eduardo E Castilla; Andrew E Czeizel; Lian Ma; L Leigh Field; Lawrence Brody; Faith Pangilinan; James L Mills; Anne M Molloy; Peadar N Kirke; John M Scott; James M Scott; Mauricio Arcos-Burgos; Alan F Scott
Journal:  Nat Genet       Date:  2010-05-02       Impact factor: 38.330

Review 9.  Genetic linkage analysis in the age of whole-genome sequencing.

Authors:  Jurg Ott; Jing Wang; Suzanne M Leal
Journal:  Nat Rev Genet       Date:  2015-03-31       Impact factor: 53.242

10.  Environmental and genetic influences on early attachment.

Authors:  Judit Gervai
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2009-09-04       Impact factor: 3.033

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