Genomes and Genes
Affiliation: Harvard University
- Adjusting for heritable covariates can bias effect estimates in genome-wide association studiesHugues Aschard
Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA Electronic address
Am J Hum Genet 96:329-39. 2015..Using both theory and simulations, we explore this phenomenon in detail and discuss the ramifications for future genome-wide association studies of correlated traits and diseases. ..
- Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studiesHugues Aschard
Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA Electronic address
Am J Hum Genet 94:662-76. 2014..Finally, we apply the proposed PCA strategy to the genome-wide association study of five correlated coagulation traits where we identify two candidate SNPs that were not found by the standard approach. ..
- A nonparametric test to detect quantitative trait loci where the phenotypic distribution differs by genotypesHugues Aschard
Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
Genet Epidemiol 37:323-33. 2013..We demonstrate the potential utility of our method on real data by analyzing mammographic density genome-wide data from the Nurses' Health Study...
- Challenges and opportunities in genome-wide environmental interaction (GWEI) studiesHugues Aschard
Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
Hum Genet 131:1591-613. 2012....
- Combining effects from rare and common genetic variants in an exome-wide association study of sequence dataHugues Aschard
1Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
BMC Proc 5:S44. 2011....
- Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseasesHugues Aschard
Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
Am J Hum Genet 90:962-72. 2012..We show that the inclusion of G-G and G-E interaction effects in risk-prediction models is unlikely to dramatically improve the discrimination ability of these models...
- Variation in predictive ability of common genetic variants by established strata: the example of breast cancer and ageHugues Aschard
From the aProgram in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA bDepartment of Medicine, University of California San Francisco, San Francisco, CA and cDepartment of Biostatistics, Harvard School of Public Health, Boston, MA
Epidemiology 26:51-8. 2015..However, the clinical utility of common breast cancer risk markers may nonetheless differ across strata defined by known risk factors, such as age...
- Genetic modifiers of menopausal hormone replacement therapy and breast cancer risk: a genome-wide interaction studyAnja Rudolph
Division of Cancer Epidemiology, German Cancer Research Center DKFZ, Im Neuenheimer Feld 581, D 69120 Heidelberg, Germany PMV Research Group at the Department of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA Foundation for Quality and Efficiency in Health Care IQWIG, Cologne, Germany Human Genetics, Genome Institute of Singapore, Singapore, Singapore Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK INSERM National Institute of Health and Medical Research, CESP Center for Research in Epidemiology and Population Health, U1018, Environmental Epidemiology of Cancer, Villejuif, France Unité Mixte de Recherche Scientifique UMRS 1018, University Paris Sud, Villejuif, France Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr Universität Bochum IPA, Bochum, Germany Institute for Occupational Medicine and Maritime Medicine, University Medical Center, Hamburg Eppendorf, Hamburg, Germany Department of Internal Medicine, Telos Pharmaceuticals LLC
Endocr Relat Cancer 20:875-87. 2013..These findings warrant replication in independent studies...
- Exploring genome-wide - dietary heme iron intake interactions and the risk of type 2 diabetesLouis R Pasquale
Department of Medicine, Channing Division of Network Medicine, Brigham and Women s Hospital, Harvard Medical School Boston, MA, USA Glaucoma Service, Massachusetts Eye and Ear Infirmary Boston, MA, USA
Front Genet 4:7. 2013..72) were significant for the iron metabolic pathway as a whole.Conclusions: We found no significant interactions between dietary heme iron intake and common SNPs in relation to T2D...
- Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effectsHugues Aschard
Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA haschard hsph harvard edu
Hum Hered 70:292-300. 2010..There is growing interest in the study of gene-environment interactions in the context of genome-wide association studies (GWASs). These studies will likely require meta-analytic approaches to have sufficient power...