Literature DB >> 22243791

Molecular genetic studies of complex phenotypes.

Ali J Marian1.   

Abstract

The approach to molecular genetic studies of complex phenotypes evolved considerably during the recent years. The candidate gene approach, which is restricted to an analysis of a few single-nucleotide polymorphisms (SNPs) in a modest number of cases and controls, has been supplanted by the unbiased approach of genome-wide association studies (GWAS), wherein a large number of tagger SNPs are typed in many individuals. GWAS, which are designed on the common disease-common variant hypothesis (CD-CV), identified several SNPs and loci for complex phenotypes. However, the alleles identified through GWAS are typically not causative but rather in linkage disequilibrium (LD) with the true causal variants. The common alleles, which may not capture the uncommon and rare variants, account only for a fraction of heritability of the complex traits. Hence, the focus is being shifted to rare variants-common disease (RV-CD) hypothesis, surmising that rare variants exert large effect sizes on the phenotype. In conjunctional with this conceptual shift, technologic advances in DNA sequencing techniques have dramatically enhanced whole genome or whole exome sequencing capacity. The sequencing approach affords identification of not only the rare but also the common variants. The approach-whether used in complementation with GWAS or as a stand-alone approach-could define the genetic architecture of the complex phenotypes. Robust phenotyping and large-scale sequencing studies are essential to extract the information content of the vast number of DNA sequence variants (DSVs) in the genome. To garner meaningful clinical information and link the genotype to a phenotype, the identification and characterization of a large number of causal fields beyond the information content of DNA sequence variants would be necessary. This review provides an update on the current progress and limitations in identifying DSVs that are associated with phenotypic effects. Published by Mosby, Inc.

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Year:  2011        PMID: 22243791      PMCID: PMC3259530          DOI: 10.1016/j.trsl.2011.08.001

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  87 in total

1.  Identification of cis- and trans-acting genetic variants explaining up to half the variation in circulating vascular endothelial growth factor levels.

Authors:  Stephanie Debette; Sophie Visvikis-Siest; Ming-Huen Chen; Ndeye-Coumba Ndiaye; Ci Song; Anita Destefano; Radwan Safa; Mohsen Azimi Nezhad; Douglas Sawyer; Jean-Brice Marteau; Vanessa Xanthakis; Gerard Siest; Lisa Sullivan; Michele Pfister; Holly Smith; Seung-Hoan Choi; John Lamont; Lars Lind; Qiong Yang; Peter Fitzgerald; Erik Ingelsson; Ramachandran S Vasan; Sudha Seshadri
Journal:  Circ Res       Date:  2011-07-14       Impact factor: 17.367

2.  Blood pressure and human genetic variation in the general population.

Authors:  Pankaj Arora; Christopher Newton-Cheh
Journal:  Curr Opin Cardiol       Date:  2010-05       Impact factor: 2.161

3.  K+ channel mutations in adrenal aldosterone-producing adenomas and hereditary hypertension.

Authors:  Murim Choi; Ute I Scholl; Peng Yue; Peyman Björklund; Bixiao Zhao; Carol Nelson-Williams; Weizhen Ji; Yoonsang Cho; Aniruddh Patel; Clara J Men; Elias Lolis; Max V Wisgerhof; David S Geller; Shrikant Mane; Per Hellman; Gunnar Westin; Göran Åkerström; Wenhui Wang; Tobias Carling; Richard P Lifton
Journal:  Science       Date:  2011-02-11       Impact factor: 47.728

4.  Comprehensive survey of SNPs in the Affymetrix exon array using the 1000 Genomes dataset.

Authors:  Eric R Gamazon; Wei Zhang; M Eileen Dolan; Nancy J Cox
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

5.  Coronary artery disease-associated locus on chromosome 9p21 and early markers of atherosclerosis.

Authors:  Nilesh J Samani; Olli T Raitakari; Kalle Sipilä; Martin D Tobin; Heribert Schunkert; Markus Juonala; Peter S Braund; Jeanette Erdmann; Jorma Viikari; Leena Moilanen; Leena Taittonen; Antti Jula; Eero Jokinen; Tomi Laitinen; Nina Hutri-Kähönen; Markku S Nieminen; Y Antero Kesäniemi; Alistair S Hall; Janne Hulkkonen; Mika Kähönen; Terho Lehtimäki
Journal:  Arterioscler Thromb Vasc Biol       Date:  2008-07-03       Impact factor: 8.311

6.  Avoiding the high Bonferroni penalty in genome-wide association studies.

Authors:  Xiaoyi Gao; Lewis C Becker; Diane M Becker; Joshua D Starmer; Michael A Province
Journal:  Genet Epidemiol       Date:  2010-01       Impact factor: 2.135

7.  Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

Authors:  Sekar Kathiresan; Olle Melander; Candace Guiducci; Aarti Surti; Noël P Burtt; Mark J Rieder; Gregory M Cooper; Charlotta Roos; Benjamin F Voight; Aki S Havulinna; Björn Wahlstrand; Thomas Hedner; Dolores Corella; E Shyong Tai; Jose M Ordovas; Göran Berglund; Erkki Vartiainen; Pekka Jousilahti; Bo Hedblad; Marja-Riitta Taskinen; Christopher Newton-Cheh; Veikko Salomaa; Leena Peltonen; Leif Groop; David M Altshuler; Marju Orho-Melander
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

8.  A highly annotated whole-genome sequence of a Korean individual.

Authors:  Jong-Il Kim; Young Seok Ju; Hansoo Park; Sheehyun Kim; Seonwook Lee; Jae-Hyuk Yi; Joann Mudge; Neil A Miller; Dongwan Hong; Callum J Bell; Hye-Sun Kim; In-Soon Chung; Woo-Chung Lee; Ji-Sun Lee; Seung-Hyun Seo; Ji-Young Yun; Hyun Nyun Woo; Heewook Lee; Dongwhan Suh; Seungbok Lee; Hyun-Jin Kim; Maryam Yavartanoo; Minhye Kwak; Ying Zheng; Mi Kyeong Lee; Hyunjun Park; Jeong Yeon Kim; Omer Gokcumen; Ryan E Mills; Alexander Wait Zaranek; Joseph Thakuria; Xiaodi Wu; Ryan W Kim; Jim J Huntley; Shujun Luo; Gary P Schroth; Thomas D Wu; HyeRan Kim; Kap-Seok Yang; Woong-Yang Park; Hyungtae Kim; George M Church; Charles Lee; Stephen F Kingsmore; Jeong-Sun Seo
Journal:  Nature       Date:  2009-07-08       Impact factor: 49.962

9.  Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations.

Authors:  Brian J O'Roak; Pelagia Deriziotis; Choli Lee; Laura Vives; Jerrod J Schwartz; Santhosh Girirajan; Emre Karakoc; Alexandra P Mackenzie; Sarah B Ng; Carl Baker; Mark J Rieder; Deborah A Nickerson; Raphael Bernier; Simon E Fisher; Jay Shendure; Evan E Eichler
Journal:  Nat Genet       Date:  2011-05-15       Impact factor: 38.330

10.  Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip.

Authors:  Chris C A Spencer; Zhan Su; Peter Donnelly; Jonathan Marchini
Journal:  PLoS Genet       Date:  2009-05-15       Impact factor: 5.917

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  48 in total

1.  Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium.

Authors:  Wenqian Zhang; Hui Wen Ng; Mao Shu; Heng Luo; ZhenQiang Su; Weigong Ge; Roger Perkins; Weida Tong; Huixiao Hong
Journal:  J Genet       Date:  2015-12       Impact factor: 1.166

Review 2.  The promise of whole-exome sequencing in medical genetics.

Authors:  Bahareh Rabbani; Mustafa Tekin; Nejat Mahdieh
Journal:  J Hum Genet       Date:  2013-11-07       Impact factor: 3.172

Review 3.  Prostate cancer: from the pathophysiologic implications of some genetic risk factors to translation in personalized cancer treatments.

Authors:  C R Balistreri; G Candore; D Lio; G Carruba
Journal:  Cancer Gene Ther       Date:  2014-01-10       Impact factor: 5.987

4.  Quality control metrics improve repeatability and reproducibility of single-nucleotide variants derived from whole-genome sequencing.

Authors:  W Zhang; V Soika; J Meehan; Z Su; W Ge; H W Ng; R Perkins; V Simonyan; W Tong; H Hong
Journal:  Pharmacogenomics J       Date:  2014-11-11       Impact factor: 3.550

Review 5.  Interpreting genetic effects through models of cardiac electromechanics.

Authors:  S A Niederer; S Land; S W Omholt; N P Smith
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-10-05       Impact factor: 4.733

Review 6.  Integrating optogenetic and pharmacological approaches to study neural circuit function: current applications and future directions.

Authors:  Garret D Stuber; Alex O Mason
Journal:  Pharmacol Rev       Date:  2013-01-10       Impact factor: 25.468

7.  Characterizing genetic variants for clinical action.

Authors:  Erin M Ramos; Corina Din-Lovinescu; Jonathan S Berg; Lisa D Brooks; Audrey Duncanson; Michael Dunn; Peter Good; Tim J P Hubbard; Gail P Jarvik; Christopher O'Donnell; Stephen T Sherry; Naomi Aronson; Leslie G Biesecker; Bruce Blumberg; Ned Calonge; Helen M Colhoun; Robert S Epstein; Paul Flicek; Erynn S Gordon; Eric D Green; Robert C Green; Matthew Hurles; Kensaku Kawamoto; William Knaus; David H Ledbetter; Howard P Levy; Elaine Lyon; Donna Maglott; Howard L McLeod; Nazneen Rahman; Gurvaneet Randhawa; Catherine Wicklund; Teri A Manolio; Rex L Chisholm; Marc S Williams
Journal:  Am J Med Genet C Semin Med Genet       Date:  2014-03-13       Impact factor: 3.908

Review 8.  Sequencing your genome: what does it mean?

Authors:  A J Marian
Journal:  Methodist Debakey Cardiovasc J       Date:  2014 Jan-Mar

Review 9.  The enigma of genetics etiology of atherosclerosis in the post-GWAS era.

Authors:  A J Marian
Journal:  Curr Atheroscler Rep       Date:  2012-08       Impact factor: 5.113

Review 10.  Pro-inflammatory genetic markers of atherosclerosis.

Authors:  Egle Incalcaterra; Giulia Accardi; Carmela Rita Balistreri; Gregorio Caimi; Giuseppina Candore; Marco Caruso; Calogero Caruso
Journal:  Curr Atheroscler Rep       Date:  2013-06       Impact factor: 5.113

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