Literature DB >> 20407100

Extremes of unexplained variation as a phenotype: an efficient approach for genome-wide association studies of cardiovascular disease.

Matthew B Lanktree1, Robert A Hegele, Nicholas J Schork, J David Spence.   

Abstract

Entities:  

Mesh：

Year:  2010        PMID： 20407100      PMCID： PMC3084495          DOI： 10.1161/CIRCGENETICS.109.934505

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN： 1942-3268


× No keyword cloud information.
  42 in total

1.  Optimal selection strategies for QTL mapping using pooled DNA samples.

Authors:  Ansar Jawaid; Joel S Bader; Shaun Purcell; Stacey S Cherny; Pak Sham
Journal:  Eur J Hum Genet       Date:  2002-02       Impact factor: 4.246

2.  The power to detect linkage disequilibrium with quantitative traits in selected samples.

Authors:  G R Abecasis; W O Cookson; L R Cardon
Journal:  Am J Hum Genet       Date:  2001-05-08       Impact factor: 11.025

3.  Carotid plaque area: a tool for targeting and evaluating vascular preventive therapy.

Authors:  J David Spence; Michael Eliasziw; Maria DiCicco; Daniel G Hackam; Ramzy Galil; Tara Lohmann
Journal:  Stroke       Date:  2002-12       Impact factor: 7.914

4.  Power of linkage disequilibrium mapping to detect a quantitative trait locus (QTL) in selected samples of unrelated individuals.

Authors:  A Tenesa; S A Knott; A D Carothers; P M Visscher
Journal:  Ann Hum Genet       Date:  2003-11       Impact factor: 1.670

5.  Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits.

Authors:  S Purcell; S S Cherny; P C Sham
Journal:  Bioinformatics       Date:  2003-01       Impact factor: 6.937

6.  Linkage analysis of quantitative traits: increased power by using selected samples.

Authors:  G Carey; J Williamson
Journal:  Am J Hum Genet       Date:  1991-10       Impact factor: 11.025

7.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

8.  Extreme discordant sib pairs for mapping quantitative trait loci in humans.

Authors:  N Risch; H Zhang
Journal:  Science       Date:  1995-06-16       Impact factor: 47.728

9.  On the allelic spectrum of human disease.

Authors:  D E Reich; E S Lander
Journal:  Trends Genet       Date:  2001-09       Impact factor: 11.639

10.  Noninvasive phenotypes of atherosclerosis: similar windows but different views.

Authors:  J David Spence; Robert A Hegele
Journal:  Stroke       Date:  2004-02-12       Impact factor: 7.914
View more
  27 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

Review 2.  Exome sequencing as a tool for Mendelian disease gene discovery.

Authors:  Michael J Bamshad; Sarah B Ng; Abigail W Bigham; Holly K Tabor; Mary J Emond; Deborah A Nickerson; Jay Shendure
Journal:  Nat Rev Genet       Date:  2011-09-27       Impact factor: 53.242

Review 3.  Current status of carotid ultrasound in atherosclerosis.

Authors:  Stella Sin Yee Ho
Journal:  Quant Imaging Med Surg       Date:  2016-06

Review 4.  Genetics of Common Antipsychotic-Induced Adverse Effects.

Authors:  Raymond R MacNeil; Daniel J Müller
Journal:  Mol Neuropsychiatry       Date:  2016-05-20

5.  Weight Loss and Illness Severity in Adolescents With Atypical Anorexia Nervosa.

Authors:  Andrea K Garber; Jing Cheng; Erin C Accurso; Sally H Adams; Sara M Buckelew; Cynthia J Kapphahn; Anna Kreiter; Daniel Le Grange; Vanessa I Machen; Anna-Barbara Moscicki; Kristina Saffran; Allyson F Sy; Leslie Wilson; Neville H Golden
Journal:  Pediatrics       Date:  2019-11-06       Impact factor: 7.124

6.  Traditional cardiovascular risk factors explain the minority of the variability in carotid plaque.

Authors:  Frank Kuo; Hannah Gardener; Chuanhui Dong; Digna Cabral; David Della-Morte; Susan H Blanton; Mitchell S V Elkind; Ralph L Sacco; Tatjana Rundek
Journal:  Stroke       Date:  2012-05-01       Impact factor: 7.914

7.  A genome-wide association study of essential hypertension in an Australian population using a DNA pooling approach.

Authors:  Javed Y Fowdar; Rebecca Grealy; Yi Lu; Lyn R Griffiths
Journal:  Mol Genet Genomics       Date:  2016-11-19       Impact factor: 3.291

8.  A new system identification approach to identify genetic variants in sequencing studies for a binary phenotype.

Authors:  Guolian Kang; Wenjian Bi; Yanlong Zhao; Ji-Feng Zhang; Jun J Yang; Heng Xu; Mignon L Loh; Stephen P Hunger; Mary V Relling; Stanley Pounds; Cheng Cheng
Journal:  Hum Hered       Date:  2014-07-30       Impact factor: 0.444

9.  Genetic variants and their interactions in the prediction of increased pre-clinical carotid atherosclerosis: the cardiovascular risk in young Finns study.

Authors:  Sebastian Okser; Terho Lehtimäki; Laura L Elo; Nina Mononen; Nina Peltonen; Mika Kähönen; Markus Juonala; Yue-Mei Fan; Jussi A Hernesniemi; Tomi Laitinen; Leo-Pekka Lyytikäinen; Riikka Rontu; Carita Eklund; Nina Hutri-Kähönen; Leena Taittonen; Mikko Hurme; Jorma S A Viikari; Olli T Raitakari; Tero Aittokallio
Journal:  PLoS Genet       Date:  2010-09-30       Impact factor: 5.917

10.  Traditional risk factors are not major contributors to the variance in carotid intima-media thickness.

Authors:  Tatjana Rundek; Susan H Blanton; Susanne Bartels; Chuanhui Dong; Ami Raval; Ryan T Demmer; Digna Cabral; Mitchell S V Elkind; Ralph L Sacco; Moise Desvarieux
Journal:  Stroke       Date:  2013-05-23       Impact factor: 7.914
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.