Literature DB >> 18451988

A HapMap harvest of insights into the genetics of common disease.

Teri A Manolio1, Lisa D Brooks, Francis S Collins.   

Abstract

The International HapMap Project was designed to create a genome-wide database of patterns of human genetic variation, with the expectation that these patterns would be useful for genetic association studies of common diseases. This expectation has been amply fulfilled with just the initial output of genome-wide association studies, identifying nearly 100 loci for nearly 40 common diseases and traits. These associations provided new insights into pathophysiology, suggesting previously unsuspected etiologic pathways for common diseases that will be of use in identifying new therapeutic targets and developing targeted interventions based on genetically defined risk. In addition, HapMap-based discoveries have shed new light on the impact of evolutionary pressures on the human genome, suggesting multiple loci important for adapting to disease-causing pathogens and new environments. In this review we examine the origin, development, and current status of the HapMap; its prospects for continued evolution; and its current and potential future impact on biomedical science.

Entities:  

Mesh:

Year:  2008        PMID: 18451988      PMCID: PMC2336881          DOI: 10.1172/JCI34772

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  130 in total

1.  Undetected genotyping errors cause apparent overtransmission of common alleles in the transmission/disequilibrium test.

Authors:  Adele A Mitchell; David J Cutler; Aravinda Chakravarti
Journal:  Am J Hum Genet       Date:  2003-02-13       Impact factor: 11.025

2.  The International HapMap Project.

Authors: 
Journal:  Nature       Date:  2003-12-18       Impact factor: 49.962

3.  Nature, nurture and human disease.

Authors:  Aravinda Chakravarti; Peter Little
Journal:  Nature       Date:  2003-01-23       Impact factor: 49.962

Review 4.  Integrating ethics and science in the International HapMap Project.

Authors: 
Journal:  Nat Rev Genet       Date:  2004-06       Impact factor: 53.242

5.  Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.

Authors:  Sholom Wacholder; Stephen Chanock; Montserrat Garcia-Closas; Laure El Ghormli; Nathaniel Rothman
Journal:  J Natl Cancer Inst       Date:  2004-03-17       Impact factor: 13.506

6.  Parallel genotyping of over 10,000 SNPs using a one-primer assay on a high-density oligonucleotide array.

Authors:  Hajime Matsuzaki; Halina Loi; Shoulian Dong; Ya-Yu Tsai; Joy Fang; Jane Law; Xiaojun Di; Wei-Min Liu; Geoffrey Yang; Guoying Liu; Jing Huang; Giulia C Kennedy; Thomas B Ryder; Gregory A Marcus; P Sean Walsh; Mark D Shriver; Jennifer M Puck; Keith W Jones; Rui Mei
Journal:  Genome Res       Date:  2004-03       Impact factor: 9.043

Review 7.  Will haplotype maps be useful for finding genes?

Authors:  E J C G van den Oord; B M Neale
Journal:  Mol Psychiatry       Date:  2004-03       Impact factor: 15.992

Review 8.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

Authors:  David Botstein; Neil Risch
Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

9.  The fine-scale structure of recombination rate variation in the human genome.

Authors:  Gilean A T McVean; Simon R Myers; Sarah Hunt; Panos Deloukas; David R Bentley; Peter Donnelly
Journal:  Science       Date:  2004-04-23       Impact factor: 47.728

Review 10.  Progress in defining the molecular basis of type 2 diabetes mellitus through susceptibility-gene identification.

Authors:  Mark I McCarthy
Journal:  Hum Mol Genet       Date:  2004-01-13       Impact factor: 6.150

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  395 in total

1.  Replication in genome-wide association studies.

Authors:  Peter Kraft; Eleftheria Zeggini; John P A Ioannidis
Journal:  Stat Sci       Date:  2009-11-01       Impact factor: 2.901

2.  Statistical significance in genetic association studies.

Authors:  Hui-Qi Qu; Matthew Tien; Constantin Polychronakos
Journal:  Clin Invest Med       Date:  2010-10-01       Impact factor: 0.825

3.  Genetic analysis of biological pathway data through genomic randomization.

Authors:  Brian L Yaspan; William S Bush; Eric S Torstenson; Deqiong Ma; Margaret A Pericak-Vance; Marylyn D Ritchie; James S Sutcliffe; Jonathan L Haines
Journal:  Hum Genet       Date:  2011-01-30       Impact factor: 4.132

4.  Genomics of human health and aging.

Authors:  Alexander M Kulminski; Irina Culminskaya
Journal:  Age (Dordr)       Date:  2011-12-16

5.  The mystery of missing heritability: Genetic interactions create phantom heritability.

Authors:  Or Zuk; Eliana Hechter; Shamil R Sunyaev; Eric S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-05       Impact factor: 11.205

6.  Giving and withholding of information following genomic screening: challenges identified in a study of primary care physicians in Estonia.

Authors:  Liis Leitsalu; Laura Hercher; Andres Metspalu
Journal:  J Genet Couns       Date:  2011-12-08       Impact factor: 2.537

Review 7.  Recent advances in understanding the role of nutrition in human genome evolution.

Authors:  Kaixiong Ye; Zhenglong Gu
Journal:  Adv Nutr       Date:  2011-11-03       Impact factor: 8.701

Review 8.  Drug development in the era of precision medicine.

Authors:  Sarah A Dugger; Adam Platt; David B Goldstein
Journal:  Nat Rev Drug Discov       Date:  2017-12-08       Impact factor: 84.694

Review 9.  The search for genetic polymorphisms in the homocysteine/folate pathway that contribute to the etiology of human neural tube defects.

Authors:  Anne M Molloy; Lawrence C Brody; James L Mills; John M Scott; Peadar N Kirke
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2009-04

10.  Testing gene-gene interactions in genome wide association studies.

Authors:  Jie Kate Hu; Xianlong Wang; Pei Wang
Journal:  Genet Epidemiol       Date:  2014-01-15       Impact factor: 2.135

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