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Genome‐Wide Association Study (Gwas) And Genome‐Wide By Environment Interaction Study (Gweis) Of Depressive Symptoms In African American And Hispanic/Latina Women

dc.contributor.authorDunn, Erin C.
dc.contributor.authorWiste, Anna
dc.contributor.authorRadmanesh, Farid
dc.contributor.authorAlmli, Lynn M.
dc.contributor.authorGogarten, Stephanie M.
dc.contributor.authorSofer, Tamar
dc.contributor.authorFaul, Jessica D.
dc.contributor.authorKardia, Sharon L. R.
dc.contributor.authorSmith, Jennifer A.
dc.contributor.authorWeir, David R.
dc.contributor.authorZhao, Wei
dc.contributor.authorSoare, Thomas W.
dc.contributor.authorMirza, Saira S.
dc.contributor.authorHek, Karin
dc.contributor.authorTiemeier, Henning
dc.contributor.authorGoveas, Joseph S.
dc.contributor.authorSarto, Gloria E.
dc.contributor.authorSnively, Beverly M.
dc.contributor.authorCornelis, Marilyn
dc.contributor.authorKoenen, Karestan C.
dc.contributor.authorKraft, Peter
dc.contributor.authorPurcell, Shaun
dc.contributor.authorRessler, Kerry J.
dc.contributor.authorRosand, Jonathan
dc.contributor.authorWassertheil‐smoller, Sylvia
dc.contributor.authorSmoller, Jordan W.
dc.date.accessioned2016-05-20T19:22:46Z
dc.date.available2017-06-01T16:55:23Zen
dc.date.issued2016-04
dc.identifier.citationDunn, Erin C.; Wiste, Anna; Radmanesh, Farid; Almli, Lynn M.; Gogarten, Stephanie M.; Sofer, Tamar; Faul, Jessica D.; Kardia, Sharon L. R.; Smith, Jennifer A.; Weir, David R.; Zhao, Wei; Soare, Thomas W.; Mirza, Saira S.; Hek, Karin; Tiemeier, Henning; Goveas, Joseph S.; Sarto, Gloria E.; Snively, Beverly M.; Cornelis, Marilyn; Koenen, Karestan C.; Kraft, Peter; Purcell, Shaun; Ressler, Kerry J.; Rosand, Jonathan; Wassertheil‐smoller, Sylvia ; Smoller, Jordan W. (2016). "Genome‐Wide Association Study (Gwas) And Genome‐Wide By Environment Interaction Study (Gweis) Of Depressive Symptoms In African American And Hispanic/Latina Women." Depression and Anxiety 33(4): 265-280.
dc.identifier.issn1091-4269
dc.identifier.issn1520-6394
dc.identifier.urihttps://hdl.handle.net/2027.42/119111
dc.publisherThe National Academies Press
dc.publisherWiley Periodicals, Inc.
dc.subject.othergenomeâ wide association study
dc.subject.othergeneâ environment interaction
dc.subject.otherdepression
dc.subject.otherstressful life events
dc.subject.othersocial support
dc.titleGenome‐Wide Association Study (Gwas) And Genome‐Wide By Environment Interaction Study (Gweis) Of Depressive Symptoms In African American And Hispanic/Latina Women
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPsychiatry
dc.subject.hlbsecondlevelPsychology
dc.subject.hlbtoplevelHealth Sciences
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/119111/1/da22484-sup-0001-SupMat.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/119111/2/da22484.pdf
dc.identifier.doi10.1002/da.22484
dc.identifier.sourceDepression and Anxiety
dc.identifier.citedreferenceLubke GH, Hottenga JJ, Walters R, et al. Estimating the genetic variance of major depressive disorder due to all single nucleotide polymorphisms. Biol Psychiatry 2012; 72 ( 8 ): 707 â 709.
dc.identifier.citedreferencePurcell S, Neale B, Toddâ Brown K, et al. PLINK: a toolset for wholeâ genome association and populationâ based linkage analysis. Am J Human Genet 2007; 81 ( 3 ): 559 â 575.
dc.identifier.citedreferencePirinen M, Donnelly P, Spencer CCA. Including known covariates can reduce power to detect genetic effects in caseâ control studies. Nat Genet 2012; 44 ( 8 ): 848 â 851.
dc.identifier.citedreferenceR Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2011.
dc.identifier.citedreferencePruim RJ, Welch RP, Sanna S, et al. LocusZoom: regional visualization of genomeâ wide association scan results. Bioinformatics 2010; 26 ( 18 ): 2336 â 2337.
dc.identifier.citedreferenceAulchenko YS, Struchalin MV, vanDuijn CM. probABEL package for genomeâ wide association analysis of imputed data. BMC Bioinformatics 2010; 11: 134.
dc.identifier.citedreferenceAltman DG, Royston P. The cost of dichotomising continuous variables. Brit Med J 2006; 332 ( 7549 ): 1080.
dc.identifier.citedreferenceWhite H. A heteroskedasticityâ consistent covarianceâ matrix estimator and a direct test for heterodkedasticity. Econometrica 1980; 48: 817 â 838.
dc.identifier.citedreferenceVoorman A, Lumley T, McKnight B, Rice K. Behavior of qqâ plots and genomic control in studies of geneâ environment interaction. Plos One 2011; 65 ( 5 ): e19416.
dc.identifier.citedreferenceCornelis MC, Tchetgen EJ, Liang L, et al. Geneâ environment interactions in genomeâ wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes. Am J Epidemiol 2012; 175 ( 3 ): 191 â 202.
dc.identifier.citedreferenceAlmli LM, Duncan R, Feng H, et al. Correcting systematic inflation in genetic association tests that consider interaction effects: application to a genomeâ wide association study of posttraumatic stress disorder. J Am Med Assoc Psychiatry 2014; 71 ( 12 ): 1392 â 1399.
dc.identifier.citedreferenceJuster FT, Suzman R. An overview of the health and retirement study. J Human Res 1995; 30: S7 â S56.
dc.identifier.citedreferenceSonnega A, Faul JD, Ofstedal MB, Langa KM, Phillips JWR, Weir DR. Cohort profile: the health and retirement study (HRS). Int J Epidemiol 2014; 43 ( 2 ): 576 â 585.
dc.identifier.citedreferenceGillespie CF, Bradley B, Mercer K, et al. Trauma exposure and stressâ related disorders in inner city primary care patients. Gen Hosp Psychiatry 2009; 31 ( 6 ): 505 â 514.
dc.identifier.citedreferenceBeck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Archives Gen Psychiatry 1961; 4: 561 â 571.
dc.identifier.citedreferenceCohen S, Mermelstein R, Kamarck T, Hoberman H. Measuring the functional components of social support. In: Sarason IG, Sarason B, editors. Social Support: Theory, Research, and Application. Netherlands: Springer; 1985: 73 â 94.
dc.identifier.citedreferenceYang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genomeâ wide complex trait analysis. Am J Human Genet 2011; 88: 76 â 82.
dc.identifier.citedreferenceLee SH, Ripke S, Neale BM, et al. Genetic relationship between five psychiatric disorders estimated from genomeâ wide SNPs. Nat Genet 2013; 45 ( 9 ): 984 â 994.
dc.identifier.citedreferenceLee SH, Yang J, Goddard ME, Visscher PM, Wray NR. Estimation of pleiotropy between complex diseases using singleâ nucleotide polymorphismâ derived genomic relationships and restricted maximum likelihood. Bioinformatics 2012; 28 ( 19 ): 2540 â 2542.
dc.identifier.citedreferenceCanty A, Ripley B. boot: Boostrap R (Sâ Plus) Functions. R package version 1.3â 17. 2015. https://cran.râ project.org/web/packages/boot/citation.html
dc.identifier.citedreferenceDavison AC, Hinkley DV. Bootstrap Methods and Their Applications. Cambridge: Cambridge University Press; 1997.
dc.identifier.citedreferenceBuzkova P, Lumley T, Rice K. Permutation and parametric bootstrap tests for geneâ gene and geneâ environment interactions. Ann Hum Genet 2011; 75 ( 1 ): 36 â 45.
dc.identifier.citedreferencevan Belle G. STRUTS: Statistical Rules of Thumb. New York, NY: John Wiley and Sons; 2002.
dc.identifier.citedreferenceKraft P, Hunter DJ. The challenge of assessing complex geneâ environment and geneâ gene interactions. In: Khoury MJ, Bedrosian SR, Gwinn M, Higgins JPT, Ioannidis JPA, Little J, editors. Human Genome Epidemiology: Building the Evidence for Using Genetic Information to Improve Health and Prevent Disease. 2nd ed. New York, NY: Oxford University Press; 2009.
dc.identifier.citedreferenceDuncan LE, Keller MC. A critical review of the first 10 years of candidate geneâ byâ environment interaction research in psychiatry. Am J Psychiatry 2011; 168 ( 10 ): 1041 â 1049.
dc.identifier.citedreferenceWare EB, Mukherjee B, Sun YV, Diezâ Roux AV, Kardia SL, Smith JA. Comparative genomeâ wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multiâ Ethnic Study of Atherosclerosis. BMC Genet 2015; 16: 118.
dc.identifier.citedreferenceBonaventure P, Liu C, Lee G, et al. GPR139, an Orphan Receptor Highly Enriched in the Habenula and Septum, is Activated by the Essential Amino Acids l â Tryptophan and l â Phenylalanine. Poster presented at: American College of Neuropsychopharmacology. Hollywood, FL; 2015.
dc.identifier.citedreferenceLi K, Zhou T, Liao L, et al. betaCaMKII in lateral habenula mediates core symptoms of depression. Science â 2013; 341 ( 6149 ): 1016 â 1020.
dc.identifier.citedreferenceCrossâ Disorder Group of the Psychiatric Genomics Consortium. Identification of risk loci with shared effects on five major psychiatric disorders: a genomeâ wide analysis. Lancet 2013; 381 ( 9875 ): 1371 â 1379.
dc.identifier.citedreferenceSchizophrenia Working Group of the Psychiatric Genomics C. Biological insights from 108 schizophreniaâ associated genetic loci. Nature 2014; 511 ( 7510 ): 421 â 427.
dc.identifier.citedreferenceManitt C, Labelleâ Dumais C, Eng C, et al. Periâ pubertal emergence of UNCâ 5 homologue expression by dopamine neurons in rodents. PLoS One 2010; 5 ( 7 ): e11463.
dc.identifier.citedreferenceManitt C, Eng C, Pokinko M, et al. dcc orchestrates the development of the prefrontal cortex during adolescence and is altered in psychiatric patients. Transl Psychiatry 2013; 3: e338.
dc.identifier.citedreferenceLuan JA, Wong MY, Day NE, Wareham NJ. Sample size determination for studies of geneâ environment interaction. Int J Epidemiol 2001; 30 ( 5 ): 1035 â 1040.
dc.identifier.citedreferenceThomas D. Methods for investigating geneâ environment interactions in candidate pathway and genomeâ wide association studies. Annu Rev Publ Health 2010; 31: 21 â 36.
dc.identifier.citedreferenceHardy J, Low NC. Genes and environment in psychiatry: winner's curse or cure? Archives Gen Psychiatry 2011; 68 ( 5 ): 455 â 456.
dc.identifier.citedreferenceTrzaskowski M, Dale PS, Plomin R. No genetic influence for childhood behavior problems from DNA analysis. J Am Acad Child Adolesc Psychiatry 2013; 52 ( 10 ): 1048 â 1056 e1043.
dc.identifier.citedreferenceSieradzka D, Power RA, Freeman D, Cardno AG, Dudbridge F, Ronald A. Heritability of Individual Psychotic Experiences Captured by Common Genetic Variants in a Community Sample of Adolescents. Behav Genet 2015; 45 ( 5 ): 493 â 502.
dc.identifier.citedreferencePower RA, Wingenbach T, Cohenâ Woods S, et al. Estimating the heritability of reporting stressful life events captured by common genetic variants. Psychol Med 2013; 43 ( 9 ): 1965 â 1971.
dc.identifier.citedreferenceGauderman WJ, Zhang P, Morrison JL, Lewinger JP. Finding novel genes by testing GxE interactions in a genomeâ wide association study. Genet Epidemiol 2013; 37: 603 â 613.
dc.identifier.citedreferenceSharafeldin N, Slattery ML, Liu Q, et al. A candidateâ pathway approach to identify geneâ environment interactions: analyses of colon cancer risk and survival. J Natl Cancer Inst 2015; 107 ( 9 ). pii: djv160. http://www.ncbi.nlm.nih.gov/pubmed/26072521
dc.identifier.citedreferenceMusliner KL, Seifuddin F, Judy JA, Pirooznia M, Goes FS, Zandi PP. Polygenic risk, stressful life events and depressive symptoms in older adults: a polygenic score analysis. Psychol Med 2015; 45 ( 8 ): 1709 â 1720.
dc.identifier.citedreferencePeyrot WJ, Milaneschi Y, Abdellaoui A, et al. Effect of polygenic risk scores on depression in childhood trauma. Brit J Psychiatry 2014; 205 ( 2 ): 113 â 119.
dc.identifier.citedreferenceMullins N, Power RA, Fisher HL, et al. Polygenic interactions with environmental adversity in the aetiology of major depressive disorder. Psychol Med 2015: 1 â 12.
dc.identifier.citedreferenceKendler KS, Karkowski LM, Prescott CA. Causal relationship between stressful life events and the onset of major depression. Am J Psychiatry 1999; 156 ( 6 ): 837 â 841.
dc.identifier.citedreferenceUher R, McGuffin P. The moderation by the serotonin transporter gene of environmental adversity in the aetiology of mental illness: review and methodological analysis. Mol Psychiatry 2008; 13: 131 â 146.
dc.identifier.citedreferenceCaspi A, Hariri AR, Holmes A, Uher R, Moffitt TE. Genetic sensitivity to the environment: Rhe case of the serotonin transporter gene and its implications for studying complex diseases and traits. Am J Psychiatry 2010; 167 ( 5 ): 1 â 19.
dc.identifier.citedreferenceSullivan PF, Neale MC, Kendler KS. Genetic epidemiology of major depression: review and meta analysis. Am J Psychiatry 2000; 157: 1552 â 1562.
dc.identifier.citedreferenceCONVERGE Consortium. Sparse wholeâ genome sequencing identifies two loci for major depressive disorder. Nature 2015; 523 ( 7562 ): 588 â 591.
dc.identifier.citedreferenceMajor Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke S, Wray NR, et al. A megaâ analysis of genomeâ wide association studies for major depressive disorder. Mol Psychiatry 2013; 18 ( 4 ): 497 â 511.
dc.identifier.citedreferenceLevinson DF, Mostafavi S, Milaneschi Y, et al. Genetic studies of major depressive disorder: why are there no genomeâ wide association study findings and what can we do about it? Biol Psychiatry 2014; 76 ( 7 ): 510 â 512.
dc.identifier.citedreferenceFlint J, Kendler KS. The genetics of major depression. Neuron 2014; 81: 484 â 503.
dc.identifier.citedreferenceHek K, Demirkan A, Lahti J, et al. A genomeâ wide association study of depressive symptoms. Biol Psychiatry 2013; 73 ( 7 ): 667 â 678.
dc.identifier.citedreferenceTerracciano A, Tanaka T, Sutin AR, et al. Genomeâ wide association scan of trait depression. Biol Psychiatry 2010; 68 ( 9 ): 811 â 817.
dc.identifier.citedreferenceKendler KS, Gardner CO. Boundaries of major depression: an evaluation of DSMâ IV criteria. Am J Psychiatry 1998; 155: 172 â 177.
dc.identifier.citedreferenceYang J, Wray NR, Visscher PM. Comparing apples and oranges: equating the power of caseâ control and quantitative trait association studies. Genet Epidemiol 2010; 34: 254 â 257.
dc.identifier.citedreferenceDunn EC, Brown RC, Dai Y, et al. Genetic determinants of depression: recent findings and future directions. Harv Rev Psychiatry 2015; 23 ( 1 ): 1 â 18.
dc.identifier.citedreferenceCaspi A, Sugden K, Moffitt TE, et al. Influence of life stress on depression: moderation by a polymorphism in the 5â HTT gene. Science 2003; 301: 386 â 389.
dc.identifier.citedreferenceDunn EC, Uddin M, Subramanian SV, Smoller JW, Galea S, Koenen KC. Geneâ environment interaction (GxE) research in youth depression: a systematic review with recommendations for future research. J Child Psychol Psychiatry 2011; 52 ( 12 ): 1223 â 1238.
dc.identifier.citedreferenceRisch N, Herrell R, Lehner T, et al. Interaction between the serotonin transporter gene (5â HTTLPR), stressful life events, and risk of depression: a meta analysis. J Am Med Assoc 2009; 301 ( 23 ): 2462 â 2471.
dc.identifier.citedreferenceMunafo MR, Durrant C, Lewis G, Flint J. Gene X environment interactions at the serotonin transporter locus. Biol Psychiatry 2009; 65: 211 â 219.
dc.identifier.citedreferenceKarg K, Burmeister M, Shedden K, Sen S. The serotonin transporter promoter variant (5â HTTLPR), stress, and depression meta analysis revisited: evidence of genetic moderation. Archives Gen Psychiatry 2011; 68 ( 5 ): 444 â 454.
dc.identifier.citedreferenceDuncan LE, Pollastri AR, Smoller JW. Mind the gap: why many geneticists and psychological scientists have discrepant views about geneâ environment interaction (GxE) research. American Psychologist 2014; 69 ( 3 ): 249 â 268.
dc.identifier.citedreferencevan Os J, Rutten BP. Geneâ environmentâ wide interaction studies in psychiatry. Am J Psychiatry 2009; 166 ( 9 ): 964 â 966.
dc.identifier.citedreferenceWinham SJ, Biernacka JM. Geneâ environment interactions in genomeâ wide association studies: current approaches and new directions. J Child Psychol Psychiatry 2013; 54 ( 10 ): 1120 â 1134.
dc.identifier.citedreferenceWu C, Kraft P, Zhai K, et al. Genomeâ wide association analyses of esophageal squamous cell carcinoma in Chinese identify multiple susceptibility loci and geneâ environment interactions. Nat Genet 2012; 44 ( 10 ): 1090 â 1097.
dc.identifier.citedreferenceSeigert S, Hampe J, Schafmayer C, et al. Genomeâ wide investigation of geneâ environment interactions in colorectal cancer. Hum Genet 2013; 132 ( 2 ): 219 â 231.
dc.identifier.citedreferenceWiller CJ, Li Y, Abecasis GR. METAL: fast and efficient metaâ analysis of genomewide association scans. Bioinformatics 2010; 26 ( 17 ): 2190 â 2191.
dc.identifier.citedreferenceManning AK, Hivert MF, Scott RA, et al. A genomeâ wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat Genet 2012; 44: 659 â 669.
dc.identifier.citedreferenceWhitfield KE, Edwards CL, Brandon D, McDougald C. Genetic and environmental influences on depressive symptoms by age and gender in African American twins. Aging Ment Health 2008; 12 ( 2 ): 221 â 227.
dc.identifier.citedreferenceDuncan AE, Munnâ Chernoff MA, Hudson DL, et al. Genetic and environmental risk for major depression in Africanâ American and Europeanâ American women. Twin Res Hum Genet 2014; 17 ( 4 ): 244 â 253.
dc.identifier.citedreferenceOlvera RL, Bearden CE, Velligan DI, et al. Common genetic influences on depression, alcohol, and substance use disorders in Mexicanâ American families. Am J Med Genet B Neuropsychiatr Genet 2011; 156B ( 5 ): 561 â 568.
dc.identifier.citedreferenceKessler RC, Berglund P, Demler O, Jin R, Koretz D, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCSâ R). J Am Med Assoc 2003; 289: 3095 â 3015.
dc.identifier.citedreferenceHatch SL, Dohrenwend BP. Distribution of traumatic and other stressful life events by race/ethnicity, gender, SES, and age: a review of the research. Am J Community Psychol 2007; 40: 313 â 332.
dc.identifier.citedreferenceWilliams DR, Mohammed SA. Discrimination and racial disparities in health: evidence and needed research. J Behav Med 2009; 32: 20 â 47.
dc.identifier.citedreferenceMays VM, Cochran SD, Barnes NW. Race, raceâ based discrimination, and health outcomes among African Americans. Ann Rev Psychology 2007; 58: 201 â 225.
dc.identifier.citedreferenceCrimmins EM, Hayward MD, Seeman TE. Race/ethnicity, socioeconomic status, and health. In: Anderson NB, Bulatao RA, Cohen B, editors. Critical Perspectives on Racial and Ethnic Differences in Health in Late Life. Washington, DC: The National Academies Press; 2004.
dc.identifier.citedreferenceKessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and ageâ ofâ onset distributions of DSMâ IV disorders in the National Comorbidity Survey Replication. Archives Gen Psychiatry 2005; 62 ( 6 ): 593 â 602.
dc.identifier.citedreferenceDesign of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group. Control Clinical Trials 1998; 19: 61 â 109. http://www.ncbi.nlm.nih.gov/pubmed/9492970
dc.identifier.citedreferenceWassertheilâ Smoller S, Shumaker S, Ockene J, et al. Depression and cardiovascular sequela in postmenopausal women: The Women's Health Initiative (WHI). Archives Intern Med 2004; 164: 289 â 298.
dc.identifier.citedreferenceRadloff LS. The CESâ D scale: a selfâ report depression scale for research in the general population. Appl Psychol Measure 1977; 1: 385 â 401.
dc.identifier.citedreferenceIrwin M, Artin KH, Oxman MN. Screening for depression in the older adult: criterion validity of the 10â item Center for Epidemiological Studies Depression Scale (CESâ D). Arch Intern Med 1999; 159 ( 15 ): 1701 â 1704.
dc.identifier.citedreferenceLevy D, DeStefano AL, Larson MG, et al. Evidence for a gene influencing blood pressure on chromosome 17: genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the Framingham Heart Study. Hypertension 2000; 36 ( 4 ): 477 â 483.
dc.identifier.citedreferenceWade TD, Kendler KS. The relationship between social support and major depression: crossâ sectional, longitudinal, and genetic perspectives. J Nerv Ment Dis 2000; 188 ( 5 ): 251 â 258.
dc.identifier.citedreferenceBerkman LF, Syme SL. Social networks, host resistance, and mortality: a nineâ year followâ up study of Alameda County residents. Am J Epidemiol 1979; 109 ( 2 ): 186 â 204.
dc.identifier.citedreferenceSmoller JW, Pollack MH, Wassertheilâ Smoller S, et al. Panic attacks, daily life ischemia, and chest pain in postmenopausal women. Psychosom Med 2006; 68 ( 6 ): 824 â 832.
dc.identifier.citedreferenceSherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med 1991; 32 ( 6 ): 705 â 714.
dc.identifier.citedreferenceWomen's Health Initiative SHARe Project. Imputation Report â 1000 Genomes Project Reference Panel; 2011. Available at: https://www.garnetstudy.org/sites/www/content/files/dataflowcleaning/WHI_SHARe_qc_report_1000G_final.pdf.
dc.identifier.citedreferenceBrowning B, Browning SA. A unified approach to genotype imputation and haplotypeâ phase inference for large data sets of trios and unrelated individuals. Am J Human Genet 2009; 84: 210 â 223.
dc.identifier.citedreferencePrice AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genomeâ wide association studies. Nat Genet 2006; 38: 904 â 909.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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