Genome-wide association studies for common diseases and complex traits

The sequence of the human genome

Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909

Statistical significance for genomewide studies

Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692

Initial sequencing and comparative analysis of the mouse genome

Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187

The International HapMap Project

†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057

The Structure of Haplotype Blocks in the Human Genome

Gabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., Higgins, J., DeFelice, M., Lochner, A., Faggart, M., et al. (2002) · Science · doi:10.1126/science.1069424 · Cited by 5,863

Genomic Control for Association Studies

Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162

Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease

Ueda, H., Howson, J. M. M., Esposito, L., Heward, J., Snook, Chamberlain, G., Rainbow, D. B., Hunter, K. M. D., Smith, A. N., Di Genova, G., et al. (2003) · Nature · doi:10.1038/nature01621 · Cited by 2,175

Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease

Lohmueller, K. E., Pearce, C. L., Pike, M., Lander, E. S., & Hirschhorn, J. N. (2003) · Nature Genetics · doi:10.1038/ng1071 · Cited by 1,900

Searching for genetic determinants in the new millennium

Risch, N. J. (2000) · Nature · doi:10.1038/35015718 · Cited by 1,839

A comprehensive review of genetic association studies

Hirschhorn, J. N., Lohmueller, K., Byrne, E., & Hirschhorn, K. (2002) · Genetics in Medicine · doi:10.1097/00125817-200203000-00002 · Cited by 1,674

PLINK: a tool set for whole-genome association and population-based linkage analyses.

Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089

Principal components analysis corrects for stratification in genome-wide association studies

Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442

The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets

Saito, T., & Rehmsmeier, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118432 · Cited by 5,309

The human disease network

Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701361104 · Cited by 3,242

Multi-omics approaches to disease

Hasin, Y., Seldin, M., & Lusis, A. (2017) · Genome Biology · doi:10.1186/s13059-017-1215-1 · Cited by 2,953

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891

KEGG for representation and analysis of molecular networks involving diseases and drugs

Kanehisa, M., Goto, S., Furumichi, M., Tanabe, M., & Hirakawa, M. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp896 · Cited by 2,322

Insulin Resistance and the Polycystic Ovary Syndrome Revisited: An Update on Mechanisms and Implications

Diamanti-Kandarakis, E., & Dunaif, A. (2012) · Endocrine Reviews · doi:10.1210/er.2011-1034 · Cited by 1,947

Genome-wide association studies

Uffelmann, E., Huang, Q. Q., Munung, N. S., de Vries, J., Okada, Y., Martin, A. R., Martin, H. C., Lappalainen, T., & Posthuma, D. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00056-9 · Cited by 1,849

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

Li, Y., Willer, C. J., Ding, J., Scheet, P., & Abecasis, G. R. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20533 · Cited by 1,843

Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines

Atwell, S., Huang, Y. S., Vilhjálmsson, B. J., Willems, G., Horton, M., Li, Y., Meng, D., Platt, A., Tarone, A. M., Hu, T. T., et al. (2010) · Nature · doi:10.1038/nature08800 · Cited by 1,780

The Diploid Genome Sequence of an Individual Human

Levy, S., Sutton, G., Ng, P. C., Feuk, L., Halpern, A. L., Walenz, B. P., Axelrod, N., Huang, J., Kirkness, E. F., Denisov, G., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050254 · Cited by 1,778

Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits

Scuteri, A., Sanna, S., Chen, W.-M., Uda, M., Albai, G., Strait, J., Najjar, S., Nagaraja, R., Orrú, M., Usala, G., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030115 · Cited by 1,724

National Institute of Neurological Disorders and Stroke–Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards

Hachinski, V., Iadecola, C., Petersen, R. C., Breteler, M. M., Nyenhuis, D. L., Black, S. E., Powers, W. J., DeCarli, C., Merino, J. G., Kalaria, R. N., et al. (2006) · Stroke · doi:10.1161/01.str.0000237236.88823.47 · Cited by 1,722

Methods for Detecting Associations with Rare Variants for Common Diseases: Application to Analysis of Sequence Data

Li, B., & Leal, S. M. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.06.024 · Cited by 1,527

Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies

Skol, A. D., Scott, L. J., Abecasis, G. R., & Boehnke, M. (2006) · Nature Genetics · doi:10.1038/ng1706 · Cited by 1,286

Gene–environment interactions in psychiatry: joining forces with neuroscience

Caspi, A., & Moffitt, T. E. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1925 · Cited by 1,300

Ovarian aging: mechanisms and clinical consequences

Broekmans, F. J., Soules, M. R., & Fauser, B. C. (2009) · Endocrine Reviews · doi:10.1210/er.2009-0006 · Cited by 1,248

Biomarkers of Cardiovascular Disease: Molecular Basis and Practical Considerations

Vasan, R. S. (2006) · Circulation · doi:10.1161/circulationaha.104.482570 · Cited by 1,212

Chapter 11: Genome-wide association studies

Bush, W. S., & Moore, J. H. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002822 · Cited by 1,171

A Large-Scale Genetic Association Study Confirms IL12B and Leads to the Identification of IL23R as Psoriasis-Risk Genes

Cargill, M., Schrodi, S. J., Chang, M., Garcia, V. E., Brandon, R., Callis, K. P., Matsunami, N., Ardlie, K. G., Civello, D., Catanese, J. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/511051 · Cited by 1,086

Genotype Imputation

Li, Y., Willer, C., Sanna, S., & Abecasis, G. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164242 · Cited by 990

The genetics and immunopathogenesis of inflammatory bowel disease

Cho, J. H. (2008) · Nature Reviews Immunology · doi:10.1038/nri2340 · Cited by 940

A HapMap harvest of insights into the genetics of common disease

Manolio, T. A., Brooks, L. D., & Collins, F. S. (2008) · Journal of Clinical Investigation · doi:10.1172/jci34772 · Cited by 889

Estimation of the multiple testing burden for genomewide association studies of nearly all common variants

Pe'er, I., Yelensky, R., Altshuler, D., & Daly, M. J. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20303 · Cited by 783

Parkinson’s disease: genetics and pathogenesis

Shulman, J. M., De Jager, P. L., & Feany, M. B. (2011) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-011110-130242 · Cited by 801

Beyond GWASs: Illuminating the Dark Road from Association to Function

Edwards, S. L., Beesley, J., French, J. D., & Dunning, A. M. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.012 · Cited by 784

A high-resolution HLA and SNP haplotype map for disease association studies in the extended human MHC

de Bakker, P. I. W., McVean, G., Sabeti, P. C., Miretti, M. M., Green, T., Marchini, J., Ke, X., Monsuur, A. J., Whittaker, P., Delgado, M., et al. (2006) · Nature Genetics · doi:10.1038/ng1885 · Cited by 766

Validating therapeutic targets through human genetics

Plenge, R. M., Scolnick, E. M., & Altshuler, D. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4051 · Cited by 712

Discovering susceptibility genes for asthma and allergy

Vercelli, D. (2008) · Nature Reviews Immunology · doi:10.1038/nri2257 · Cited by 635

Combining population genomics and quantitative genetics: Finding the genes underlying ecologically important traits

Stinchcombe, J. R., & Hoekstra, H. E. (2008) · Heredity · doi:10.1038/sj.hdy.6800937 · Cited by 622

A genome-wide linkage and association scan reveals novel loci for autism

The Gene Discovery Project of Johns Hopkins & the Autism Consortium, Weiss, L. A., & Arking, D. E. (2009) · Nature · doi:10.1038/nature08490 · Cited by 619

Most Rare Missense Alleles Are Deleterious in Humans: Implications for Complex Disease and Association Studies

Kryukov, G. V., Pennacchio, L. A., & Sunyaev, S. R. (2007) · The American Journal of Human Genetics · doi:10.1086/513473 · Cited by 598

Statistical power and significance testing in large-scale genetic studies

Sham, P. C., & Purcell, S. M. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3706 · Cited by 573

A strategy to discover genes that carry multi-allelic or mono-allelic risk for common diseases: A cohort allelic sums test (CAST)

Morgenthaler, S., & Thilly, W. G. (2007) · Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis · doi:10.1016/j.mrfmmm.2006.09.003 · Cited by 507

Improved Detection of Common Variants Associated with Schizophrenia by Leveraging Pleiotropy with Cardiovascular-Disease Risk Factors

Andreassen, O. A., Djurovic, S., Thompson, W. K., Schork, A. J., Kendler, K. S., O’Donovan, M. C., Rujescu, D., Werge, T., van de Bunt, M., Morris, A. P., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.01.001 · Cited by 506

The ‘Fractionable Autism Triad’: A Review of Evidence from Behavioural, Genetic, Cognitive and Neural Research

Happé, F., & Ronald, A. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9076-8 · Cited by 498

Chapter 12: Human Microbiome Analysis

Morgan, X. C., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002808 · Cited by 496

Female reproductive ageing: current knowledge and future trends

Broekmans, F. J., Knauff, E. A. H., te Velde, E. R., Macklon, N. S., & Fauser, B. C. (2007) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2007.01.004 · Cited by 427

Toward constructing an endophenotype strategy for bipolar disorders

Hasler, G., Drevets, W. C., Gould, T. D., Gottesman, I. I., & Manji, H. K. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.11.006 · Cited by 423

Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease

Potkin, S. G., Guffanti, G., Lakatos, A., Turner, J. A., Kruggel, F., Fallon, J. H., Saykin, A. J., Orro, A., Lupoli, S., Salvi, E., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006501 · Cited by 376

An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder

Werling, D. M., Brand, H., An, J.-Y., Stone, M. R., Zhu, L., Glessner, J. T., Collins, R. L., Dong, S., Layer, R. M., Markenscoff-Papadimitriou, E., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0107-y · Cited by 293

Forty-Three Loci Associated with Plasma Lipoprotein Size, Concentration, and Cholesterol Content in Genome-Wide Analysis

Chasman, D. I., Paré, G., Mora, S., Hopewell, J. C., Peloso, G., Clarke, R., Cupples, L. A., Hamsten, A., Kathiresan, S., Mälarstig, A., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000730 · Cited by 337

Evidence of widespread selection on standing variation in Europe at height-associated SNPs

Turchin, M. C., Chiang, C. W., Palmer, C. D., Sankararaman, S., Reich, D., Genetic Investigation of ANthropometric Traits (GIANT) Consortium, & Hirschhorn, J. N. (2012) · Nature Genetics · doi:10.1038/ng.2368 · Cited by 329

Deconstructing the sources of genotype-phenotype associations in humans

Young, A. I., Benonisdottir, S., Przeworski, M., & Kong, A. (2019) · Science · doi:10.1126/science.aax3710 · Cited by 288

Deconstructing a Syndrome: Genomic Insights Into PCOS Causal Mechanisms and Classification

Dapas, M., & Dunaif, A. (2022) · Endocrine Reviews · doi:10.1210/endrev/bnac001 · Cited by 300

Unraveling a Multifactorial Late-Onset Disease: From Genetic Susceptibility to Disease Mechanisms for Age-Related Macular Degeneration

Swaroop, A., Chew, E. Y., Bowes Rickman, C., & Abecasis, G. R. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164350 · Cited by 270

Genetic determinants of co-accessible chromatin regions in activated T cells across humans

Gate, R. E., Cheng, C. S., Aiden, A. P., Siba, A., Tabaka, M., Lituiev, D., Machol, I., Gordon, M. G., Subramaniam, M., Shamim, M., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0156-2 · Cited by 181

Progress and promise in understanding the genetic basis of common diseases

Price, A. L., Spencer, C. C. A., & Donnelly, P. (2015) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2015.1684 · Cited by 147

Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin

Ma, S., Shungin, D., Mallick, H., Schirmer, M., Nguyen, L. H., Kolde, R., Franzosa, E., Vlamakis, H., Xavier, R., & Huttenhower, C. (2022) · Genome biology · doi:10.1186/s13059-022-02753-4 · Cited by 164

Mutations in ABCA7 in a Belgian cohort of Alzheimer's disease patients: a targeted resequencing study

Cuyvers, E., De Roeck, A., Van den Bossche, T., Van Cauwenberghe, C., Bettens, K., Vermeulen, S., Mattheijssens, M., Peeters, K., Engelborghs, S., Vandenbulcke, M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00133-7 · Cited by 152

Quantitative Proteomics by Metabolic Labeling of Model Organisms

Gouw, J. W., Krijgsveld, J., & Heck, A. J. R. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r900001-mcp200 · Cited by 151

The Genetics of Anorexia Nervosa

Bulik, C. M., Slof-Op't Landt, M. C. T., van Furth, E. F., & Sullivan, P. F. (2007) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.27.061406.093713 · Cited by 150

Autism genetics: strategies, challenges, and opportunities

O'Roak, B. J., & State, M. W. (2008) · Autism Research · doi:10.1002/aur.3 · Cited by 150

Statistical methods to detect pleiotropy in human complex traits

Hackinger, S., & Zeggini, E. (2017) · Open Biology · doi:10.1098/rsob.170125 · Cited by 143

Childhood adversity and DNA methylation of genes involved in the hypothalamus-pituitary-adrenal axis and immune system: whole-genome and candidate-gene associations

Bick, J., Naumova, O., Hunter, S., Barbot, B., Lee, M., Luthar, S. S., Raefski, A., & Grigorenko, E. L. (2012) · Development and Psychopathology · doi:10.1017/s0954579412000806 · Cited by 140

Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans

Cade, B. E., Chen, H., Stilp, A. M., Gleason, K. J., Sofer, T., Ancoli-Israel, S., Arens, R., Bell, G. I., Below, J. E., Bjonnes, A. C., et al. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201512-2431oc · Cited by 134

Mapping, Fine Mapping, and Molecular Dissection of Quantitative Trait Loci in Domestic Animals

Georges, M. (2007) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.8.080706.092408 · Cited by 132

Towards precision medicine: advances in computational approaches for the analysis of human variants

Peterson, T. A., Doughty, E., & Kann, M. G. (2013) · Journal of Molecular Biology · doi:10.1016/j.jmb.2013.08.008 · Cited by 123

Genetic determinants of polycystic ovary syndrome: Progress and future directions

Jones, M. R., & Goodarzi, M. O. (2016) · Fertility and Sterility · doi:10.1016/j.fertnstert.2016.04.040 · Cited by 117

Genetics of posttraumatic stress disorder: review and recommendations for future studies

Koenen, K. C. (2007) · Journal of Traumatic Stress · doi:10.1002/jts.20205 · Cited by 116

En masse organoid phenotyping informs metabolic-associated genetic susceptibility to NASH

Kimura, M., Iguchi, T., Iwasawa, K., Dunn, A., Thompson, W. L., Yoneyama, Y., Chaturvedi, P., Zorn, A. M., Wintzinger, M., Quattrocelli, M., et al. (2022) · Cell · doi:10.1016/j.cell.2022.09.031 · Cited by 115

Upward bias in odds ratio estimates from genome‐wide association studies

Garner, C. (2007) · Genetic Epidemiology · doi:10.1002/gepi.20209 · Cited by 103

Consistency and fluctuations for stochastic gradient Langevin dynamics

(2016) · Warwick Research Archive Portal (University of Warwick) · doi:10.5555/2946645.2946652 · Cited by 104

Genome‐wide association study of rheumatoid arthritis in the Spanish population: KLF12 as a risk locus for rheumatoid arthritis susceptibility

Julià, A., Ballina, J., Cañete, J. D., Balsa, A., Tornero‐Molina, J., Naranjo, A., Alperi‐López, M., Erra, A., Pascual‐Salcedo, D., Barceló, P., et al. (2008) · Arthritis & Rheumatism · doi:10.1002/art.23623 · Cited by 104

Gene discovery through imaging genetics: identification of two novel genes associated with schizophrenia

Potkin, S. G., Turner, J. A., Fallon, J. A., Lakatos, A., Keator, D. B., Guffanti, G., Macciardi, F., & FBIRN (2009) · Molecular Psychiatry · doi:10.1038/mp.2008.127 · Cited by 97

Perspectives in polycystic ovary syndrome: From hair to eternity

Dunaif, A. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-3780 · Cited by 87

Genomics

Bossé, Y., Mathieu, P., & Pibarot, P. (2008) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.12.031 · Cited by 82

Molecular Nutrition Research—The Modern Way Of Performing Nutritional Science

Norheim, F., Gjelstad, I., Hjorth, M., Vinknes, K., Langleite, T., Holen, T., Jensen, J., Dalen, K., Karlsen, A., Kielland, A., et al. (2012) · Nutrients · doi:10.3390/nu4121898 · Cited by 83

In search of genes associated with risk for psychopathic tendencies in children: a two‐stage genome‐wide association study of pooled DNA

Viding, E., Hanscombe, K. B., Curtis, C. J. C., Davis, O. S. P., Meaburn, E. L., & Plomin, R. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02236.x · Cited by 83

TWAS results are complementary to and less affected by linkage disequilibrium than GWAS

Li, D., Liu, Q., & Schnable, P. S. (2021) · Plant Physiology · doi:10.1093/plphys/kiab161 · Cited by 71

Genetics of endometriosis: current status and prospects

Vigano, P. (2007) · Frontiers in Bioscience · doi:10.2741/2308 · Cited by 62

Natural diversity of potato (Solanum tuberosum) invertases

Draffehn, A. M., Meller, S., Li, L., & Gebhardt, C. (2010) · BMC Plant Biology · doi:10.1186/1471-2229-10-271 · Cited by 63

Joint Estimates of Quantitative Trait Locus Effect and Frequency Using Synthetic Recombinant Populations of Drosophila melanogaster

Macdonald, S. J., & Long, A. D. (2007) · Genetics · doi:10.1534/genetics.106.069641 · Cited by 61

Human Races: Classifying People vs Understanding Diversity

Barbujani, G. (2005) · Current Genomics · doi:10.2174/1389202054395973 · Cited by 56

RAGE Gene Polymorphism and Environmental Factor in the Risk of Oral Cancer

Su, S., Chien, M., Lin, C., Chen, M., & Yang, S. (2015) · Journal of Dental Research · doi:10.1177/0022034514566215 · Cited by 49

Mendelian Randomization analysis of the causal effect of adiposity on hospital costs

Dixon, P., Hollingworth, W., Harrison, S., Davies, N. M., & Davey Smith, G. (2020) · Journal of Health Economics · doi:10.1016/j.jhealeco.2020.102300 · Cited by 48

Using epidemiologic methods to test hypotheses regarding causal influences on child and adolescent mental disorders

Lahey, B. B., D’Onofrio, B. M., & Waldman, I. D. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.01980.x · Cited by 45

Pharmacogenetics: potential role in the treatment of diabetes and obesity

Vella, A., & Camilleri, M. (2008) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.9.7.1109 · Cited by 17