Literature DB >> 19763932

Genome-wide association study in humans.

J Gustav Smith1, Christopher Newton-Cheh.   

Abstract

Genome-wide association studies have opened a new era in the study of the genetic basis of common, multifactorial diseases and traits. Before the introduction of this approach only a handful of common genetic variants showed consistent association for any phenotype. Using genome-wide association, scores of novel and unsuspected loci have been discovered and later replicated for many complex traits. The principle is to genotype a dense set of common genetic variants across the genomes of individuals with phenotypic differences and examine whether genotype is associated with phenotype. Because the last common human ancestor was relatively recent and recombination events are concentrated in focal hotspots, most common variation in the human genome can be surveyed using a few hundred thousand variants acting as proxies for ungenotyped variants. Here, we describe the different steps of genome-wide association studies and use a recent study as example.

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Year:  2009        PMID: 19763932     DOI: 10.1007/978-1-60761-247-6_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  10 in total

Review 1.  Genome-wide association studies of late-onset cardiovascular disease.

Authors:  J Gustav Smith; Christopher Newton-Cheh
Journal:  J Mol Cell Cardiol       Date:  2015-04-11       Impact factor: 5.000

2.  A genome-wide investigation into parent-of-origin effects in autism spectrum disorder identifies previously associated genes including SHANK3.

Authors:  Siobhan Connolly; Richard Anney; Louise Gallagher; Elizabeth A Heron
Journal:  Eur J Hum Genet       Date:  2016-11-23       Impact factor: 4.246

3.  A genome-wide association study of depressive symptoms.

Authors:  Karin Hek; Ayse Demirkan; Jari Lahti; Antonio Terracciano; Alexander Teumer; Cornelia M van Duijn; Hans J Grabe; Lenore J Launer; Kathryn L Lunetta; Thomas H Mosley; Anne B Newman; Henning Tiemeier; Joanne Murabito; Marilyn C Cornelis; Najaf Amin; Erin Bakshis; Jens Baumert; Jingzhong Ding; Yongmei Liu; Kristin Marciante; Osorio Meirelles; Michael A Nalls; Yan V Sun; Nicole Vogelzangs; Lei Yu; Stefania Bandinelli; Emelia J Benjamin; David A Bennett; Dorret Boomsma; Alessandra Cannas; Laura H Coker; Eco de Geus; Philip L De Jager; Ana V Diez-Roux; Shaun Purcell; Frank B Hu; Eric B Rimma; David J Hunter; Majken K Jensen; Gary Curhan; Kenneth Rice; Alan D Penman; Jerome I Rotter; Nona Sotoodehnia; Rebecca Emeny; Johan G Eriksson; Denis A Evans; Luigi Ferrucci; Myriam Fornage; Vilmundur Gudnason; Albert Hofman; Thomas Illig; Sharon Kardia; Margaret Kelly-Hayes; Karestan Koenen; Peter Kraft; Maris Kuningas; Joseph M Massaro; David Melzer; Antonella Mulas; Cornelis L Mulder; Anna Murray; Ben A Oostra; Aarno Palotie; Brenda Penninx; Astrid Petersmann; Luke C Pilling; Bruce Psaty; Rajesh Rawal; Eric M Reiman; Andrea Schulz; Joshua M Shulman; Andrew B Singleton; Albert V Smith; Angelina R Sutin; André G Uitterlinden; Henry Völzke; Elisabeth Widen; Kristine Yaffe; Alan B Zonderman; Francesco Cucca; Tamara Harris; Karl-Heinz Ladwig; David J Llewellyn; Katri Räikkönen; Toshiko Tanaka
Journal:  Biol Psychiatry       Date:  2013-01-03       Impact factor: 13.382

4.  SNP characteristics predict replication success in association studies.

Authors:  Ivan P Gorlov; Jason H Moore; Bo Peng; Jennifer L Jin; Olga Y Gorlova; Christopher I Amos
Journal:  Hum Genet       Date:  2014-10-02       Impact factor: 4.132

Review 5.  Novel sequencing-based strategies for high-throughput discovery of genetic mutations underlying inherited antibody deficiency disorders.

Authors:  Hong-Ying Wang; Ashish Jain
Journal:  Curr Allergy Asthma Rep       Date:  2011-10       Impact factor: 4.806

6.  Association genetics of carbon isotope discrimination, height and foliar nitrogen in a natural population of Pinus taeda L.

Authors:  W P Cumbie; A Eckert; J Wegrzyn; R Whetten; D Neale; B Goldfarb
Journal:  Heredity (Edinb)       Date:  2011-01-19       Impact factor: 3.821

Review 7.  Emerging Affinity-Based Proteomic Technologies for Large-Scale Plasma Profiling in Cardiovascular Disease.

Authors:  J Gustav Smith; Robert E Gerszten
Journal:  Circulation       Date:  2017-04-25       Impact factor: 29.690

8.  Genome wide association study for the identification of genes associated with tail fat deposition in Chinese sheep breeds.

Authors:  Caiye Zhu; Na Li; Heping Cheng; Youji Ma
Journal:  Biol Open       Date:  2021-05-04       Impact factor: 2.422

9.  Quantitative measurement of odor detection thresholds using an air dilution olfactometer, and association with genetic variants in a sample of diverse ancestry.

Authors:  Gillian R Cook; S Krithika; Melissa Edwards; Paula Kavanagh; Esteban J Parra
Journal:  PeerJ       Date:  2014-11-06       Impact factor: 2.984

Review 10.  In-silico studies in Chinese herbal medicines' research: evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date.

Authors:  D J Barlow; A Buriani; T Ehrman; E Bosisio; I Eberini; P J Hylands
Journal:  J Ethnopharmacol       Date:  2012-02-02       Impact factor: 4.360

  10 in total

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