https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=39062721&retmode=xml&tool=Litmetric&email=readroberts32@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09 390627212024072720240730
2073-44251572024Jul18GenesGenes (Basel)In Silico Prediction of BRCA1 and BRCA2 Variants with Conflicting Clinical Interpretation in a Cohort of Breast Cancer Patients.94310.3390/genes15070943Germline BRCA1/2 alteration has been linked to an increased risk of hereditary breast and ovarian cancer syndromes. As a result, genetic testing, based on NGS, allows us to identify a high number of variants of uncertain significance (VUS) or conflicting interpretation of pathogenicity (CIP) variants. The identification of CIP/VUS is often considered inconclusive and clinically not actionable for the patients' and unaffected carriers' management. In this context, their assessment and classification remain a significant challenge. The aim of the study was to investigate whether the in silico prediction tools (PolyPhen-2, SIFT, Mutation Taster and PROVEAN) could predict the potential clinical impact and significance of BRCA1/2 CIP/VUS alterations, eventually impacting the clinical management of Breast Cancer subjects. In a cohort of 860 BC patients, 10.6% harbored BRCA1 or BRCA2 CIP/VUS alterations, mostly observed in BRCA2 sequences (85%). Among them, forty-two out of fifty-five alterations were predicted as damaging, with at least one in silico that used tools. Prediction agreement of the four tools was achieved in 45.5% of patients. Moreover, the highest consensus was obtained in twelve out of forty-two (28.6%) mutations by considering three out of four in silico algorithms. The use of prediction tools may help to identify variants with a potentially damaging effect. The lack of substantial agreement between the different algorithms suggests that the bioinformatic approaches should be combined with the personal and family history of the cancer patients.StellaStefaniaSDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.Center of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.VitaleSilvia RitaSR0000-0002-7948-3580Center of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.MassiminoMicheleM0000-0001-5896-8573Center of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.Department of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy.MartoranaFedericaF0000-0001-5062-2914Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.TornabeneIreneIDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.Division of Pathology, Humanitas Istituto Clinico Catanese, 95045 Catania, Italy.TomarchioCristinaC0000-0002-1044-1008Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.Center of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.DragoMelissaMDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.Center of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.PavoneGiulianaGDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.Medical Oncology Unit, Humanitas Istituto Clinico Catanese, 95045 Catania, Italy.GorgoneCristinaCIstituto Oncologico del Mediterraneo-IOM, 95029 Catania, Italy.BaroneChiaraCMedical Genetics, ASP, 96100 Siracusa, Italy.BiancaSebastianoSMedical Genetics, ARNAS Garibaldi, 95123 Catania, Italy.ManzellaLiviaLDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.Center of Experimental Oncology and Hematology, A.O.U. Policlinico "G. Rodolico-San Marco", 95123 Catania, Italy.engJournal Article20240718
SwitzerlandGenes (Basel)1015510972073-44250BRCA2 Protein0BRCA1 Protein0BRCA2 protein, human0BRCA1 protein, humanIMHumansFemaleBreast NeoplasmsgeneticsBRCA2 ProteingeneticsBRCA1 ProteingeneticsComputer SimulationMiddle AgedAdultGenetic Predisposition to DiseaseGenetic TestingmethodsGerm-Line MutationAgedCohort StudiesBRCA1BRCA2NGSPROVEANPolyPhen-2SIFTVUSbreast cancerconflicting interpretation of pathogenicity (CIP)genetic testin silico toolsmutation tasterThe authors declare no conflicts of interest.
202462820247102024711202472814512024727104420247271102024718epublish39062721PMC1127643710.3390/genes15070943genes15070943Sullivan T., Thirthagiri E., Chong C.E., Stauffer S., Reid S., Southon E., Hassan T., Ravichandran A., Wijaya E., Lim J., et al. Epidemiological and ES cell-based functional evaluation of BRCA2 variants identified in families with breast cancer. Hum. Mutat. 2021;42:200–212. doi: 10.1002/humu.24154.10.1002/humu.24154PMC791938633314489Sung H., Ferlay J., Siegel R.L., Laversanne M., Soerjomataram I., Jemal A., Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2021;71:209–249. doi: 10.3322/caac.21660.10.3322/caac.2166033538338Stella S., Martorana F., Massimino M., Vitale S.R., Manzella L., Vigneri P. Potential Therapeutic Targets for Luminal Androgen Receptor Breast Cancer: What We Know so Far. OncoTargets Ther. 2023;16:235–247. doi: 10.2147/OTT.S379867.10.2147/OTT.S379867PMC1008914837056632Shiovitz S., Korde L.A. Genetics of breast cancer: A topic in evolution. Ann. Oncol. 2015;26:1291–1299. doi: 10.1093/annonc/mdv022.10.1093/annonc/mdv022PMC447897025605744Breast Cancer Association C., Dorling L., Carvalho S., Allen J., Gonzalez-Neira A., Luccarini C., Wahlstrom C., Pooley K.A., Parsons M.T., Fortuno C., et al. Breast Cancer Risk Genes—Association Analysis in More than 113,000 Women. N. Engl. J. Med. 2021;384:428–439. doi: 10.1056/NEJMoa1913948.10.1056/NEJMoa1913948PMC761110533471991Hu C., Hart S.N., Gnanaolivu R., Huang H., Lee K.Y., Na J., Gao C., Lilyquist J., Yadav S., Boddicker N.J., et al. A Population-Based Study of Genes Previously Implicated in Breast Cancer. N. Engl. J. Med. 2021;384:440–451. doi: 10.1056/NEJMoa2005936.10.1056/NEJMoa2005936PMC812762233471974Stella S., Vitale S.R., Martorana F., Massimino M., Pavone G., Lanzafame K., Bianca S., Barone C., Gorgone C., Fichera M., et al. Mutational Analysis of BRCA1 and BRCA2 Genes in Breast Cancer Patients from Eastern Sicily. Cancer Manag. Res. 2022;14:1341–1352. doi: 10.2147/CMAR.S348529.10.2147/CMAR.S348529PMC899456435411189Stella S., Martorana F., Manzella L., Vigneri P. The other side of the coin: Dissecting molecular mechanisms behind hereditary breast cancer in search of therapeutic opportunities. Transl. Oncol. 2021;14:101104. doi: 10.1016/j.tranon.2021.101104.10.1016/j.tranon.2021.101104PMC823654833993096Pilarski R. The Role of BRCA Testing in Hereditary Pancreatic and Prostate Cancer Families. Am. Soc. Clin. Oncol. Educ. Book. 2019;39:79–86. doi: 10.1200/EDBK_238977.10.1200/EDBK_23897731099688Spurdle A.B., Healey S., Devereau A., Hogervorst F.B., Monteiro A.N., Nathanson K.L., Radice P., Stoppa-Lyonnet D., Tavtigian S., Wappenschmidt B., et al. ENIGMA--evidence-based network for the interpretation of germline mutant alleles: An international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes. Hum. Mutat. 2012;33:2–7. doi: 10.1002/humu.21628.10.1002/humu.21628PMC324068721990146Plon S.E., Eccles D.M., Easton D., Foulkes W.D., Genuardi M., Greenblatt M.S., Hogervorst F.B., Hoogerbrugge N., Spurdle A.B., Tavtigian S.V., et al. Sequence variant classification and reporting: Recommendations for improving the interpretation of cancer susceptibility genetic test results. Hum. Mutat. 2008;29:1282–1291. doi: 10.1002/humu.20880.10.1002/humu.20880PMC307591818951446Makhnoon S., Shirts B.H., Bowen D.J. Patients’ perspectives of variants of uncertain significance and strategies for uncertainty management. J. Genet. Couns. 2019;28:313–325. doi: 10.1002/jgc4.1075.10.1002/jgc4.107530636062Eccles D.M., Mitchell G., Monteiro A.N., Schmutzler R., Couch F.J., Spurdle A.B., Gomez-Garcia E.B., Group E.C.W. BRCA1 and BRCA2 genetic testing-pitfalls and recommendations for managing variants of uncertain clinical significance. Ann. Oncol. 2015;26:2057–2065. doi: 10.1093/annonc/mdv278.10.1093/annonc/mdv278PMC500618526153499Kurian A.W. BRCA1 and BRCA2 mutations across race and ethnicity: Distribution and clinical implications. Curr. Opin. Obstet. Gynecol. 2010;22:72–78. doi: 10.1097/GCO.0b013e328332dca3.10.1097/GCO.0b013e328332dca319841585Lindor N.M., Goldgar D.E., Tavtigian S.V., Plon S.E., Couch F.J. BRCA1/2 sequence variants of uncertain significance: A primer for providers to assist in discussions and in medical management. Oncologist. 2013;18:518–524. doi: 10.1634/theoncologist.2012-0452.10.1634/theoncologist.2012-0452PMC366284223615697Chern J.Y., Lee S.S., Frey M.K., Lee J., Blank S.V. The influence of BRCA variants of unknown significance on cancer risk management decision-making. J. Gynecol. Oncol. 2019;30:e60. doi: 10.3802/jgo.2019.30.e60.10.3802/jgo.2019.30.e60PMC654310431074248Poon K.S. In silico analysis of BRCA1 and BRCA2 missense variants and the relevance in molecular genetic testing. Sci. Rep. 2021;11:11114. doi: 10.1038/s41598-021-88586-w.10.1038/s41598-021-88586-wPMC816018234045478Nakamura I.T., Kohsaka S., Ikegami M., Ikeuchi H., Ueno T., Li K., Beyett T.S., Koyama T., Shimizu T., Yamamoto N., et al. Comprehensive functional evaluation of variants of fibroblast growth factor receptor genes in cancer. NPJ Precis. Oncol. 2021;5:66. doi: 10.1038/s41698-021-00204-0.10.1038/s41698-021-00204-0PMC828540634272467Findlay G.M., Daza R.M., Martin B., Zhang M.D., Leith A.P., Gasperini M., Janizek J.D., Huang X., Starita L.M., Shendure J. Accurate classification of BRCA1 variants with saturation genome editing. Nature. 2018;562:217–222. doi: 10.1038/s41586-018-0461-z.10.1038/s41586-018-0461-zPMC618177730209399Woods N.T., Baskin R., Golubeva V., Jhuraney A., De-Gregoriis G., Vaclova T., Goldgar D.E., Couch F.J., Carvalho M.A., Iversen E.S., et al. Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance. NPJ Genom. Med. 2016;1:16001. doi: 10.1038/npjgenmed.2016.1.10.1038/npjgenmed.2016.1PMC553998928781887Johnson A., Ng P.K., Kahle M., Castillo J., Amador B., Wang Y., Zeng J., Holla V., Vu T., Su F., et al. Actionability classification of variants of unknown significance correlates with functional effect. NPJ Precis. Oncol. 2023;7:67. doi: 10.1038/s41698-023-00420-w.10.1038/s41698-023-00420-wPMC1034982537454202Adzhubei I.A., Schmidt S., Peshkin L., Ramensky V.E., Gerasimova A., Bork P., Kondrashov A.S., Sunyaev S.R. A method and server for predicting damaging missense mutations. Nat. Methods. 2010;7:248–249. doi: 10.1038/nmeth0410-248.10.1038/nmeth0410-248PMC285588920354512Ng P.C., Henikoff S. SIFT: Predicting amino acid changes that affect protein function. Nucleic Acids Res. 2003;31:3812–3814. doi: 10.1093/nar/gkg509.10.1093/nar/gkg509PMC16891612824425Schwarz J.M., Rodelsperger C., Schuelke M., Seelow D. MutationTaster evaluates disease-causing potential of sequence alterations. Nat. Methods. 2010;7:575–576. doi: 10.1038/nmeth0810-575.10.1038/nmeth0810-57520676075Choi Y., Chan A.P. PROVEAN web server: A tool to predict the functional effect of amino acid substitutions and indels. Bioinformatics. 2015;31:2745–2747. doi: 10.1093/bioinformatics/btv195.10.1093/bioinformatics/btv195PMC452862725851949Kopanos C., Tsiolkas V., Kouris A., Chapple C.E., Albarca Aguilera M., Meyer R., Massouras A. VarSome: The human genomic variant search engine. Bioinformatics. 2019;35:1978–1980. doi: 10.1093/bioinformatics/bty897.10.1093/bioinformatics/bty897PMC654612730376034Massimino M., Stella S., Micale G., Motta L., Pavone G., Broggi G., Piombino E., Magro G., Soto Parra H.J., Manzella L., et al. Mechanistic Translation of Melanoma Genetic Landscape in Enriched Pathways and Oncogenic Protein-Protein Interactions. Cancer Genom. Proteom. 2022;19:350–361. doi: 10.21873/cgp.20325.10.21873/cgp.20325PMC901648135430568Tirro E., Martorana F., Micale G., Inzerilli N., Carciotto R., Romano C., Longhitano C., Motta G., Lanzafame K., Stella S., et al. Next generation sequencing in a cohort of patients with rare sarcoma histotypes: A single institution experience. Pathol. Res. Pract. 2022;232:153820. doi: 10.1016/j.prp.2022.153820.10.1016/j.prp.2022.15382035240549Richards S., Aziz N., Bale S., Bick D., Das S., Gastier-Foster J., Grody W.W., Hegde M., Lyon E., Spector E., et al. Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 2015;17:405–424. doi: 10.1038/gim.2015.30.10.1038/gim.2015.30PMC454475325741868Parsons M.T., Tudini E., Li H., Hahnen E., Wappenschmidt B., Feliubadalo L., Aalfs C.M., Agata S., Aittomaki K., Alducci E., et al. Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification. Hum. Mutat. 2019;40:1557–1578. doi: 10.1002/humu.23818.10.1002/humu.23818PMC677216331131967Guidugli L., Shimelis H., Masica D.L., Pankratz V.S., Lipton G.B., Singh N., Hu C., Monteiro A.N.A., Lindor N.M., Goldgar D.E., et al. Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches. Am. J. Hum. Genet. 2018;102:233–248. doi: 10.1016/j.ajhg.2017.12.013.10.1016/j.ajhg.2017.12.013PMC598540129394989Kwong A., Ho C.Y.S., Shin V.Y., Au C.H., Chan T.L., Ma E.S.K. How does re-classification of variants of unknown significance (VUS) impact the management of patients at risk for hereditary breast cancer? BMC Med. Genom. 2022;15:122. doi: 10.1186/s12920-022-01270-4.10.1186/s12920-022-01270-4PMC915811135641994Henrie A., Hemphill S.E., Ruiz-Schultz N., Cushman B., DiStefano M.T., Azzariti D., Harrison S.M., Rehm H.L., Eilbeck K. ClinVar Miner: Demonstrating utility of a Web-based tool for viewing and filtering ClinVar data. Hum. Mutat. 2018;39:1051–1060. doi: 10.1002/humu.23555.10.1002/humu.23555PMC604339129790234Wong E.S.Y., Shekar S., Met-Domestici M., Chan C., Sze M., Yap Y.S., Rozen S.G., Tan M.H., Ang P., Ngeow J., et al. Inherited breast cancer predisposition in Asians: Multigene panel testing outcomes from Singapore. NPJ Genom. Med. 2016;1:15003. doi: 10.1038/npjgenmed.2015.3.10.1038/npjgenmed.2015.3PMC568529029263802Gunawardena K., Sirisena N.D., Anandagoda G., Neththikumara N., Dissanayake V.H.W. Germline variants of uncertain significance, their frequency, and clinico-pathological features in a cohort of Sri Lankan patients with hereditary breast cancer. BMC Res. Notes. 2023;16:95. doi: 10.1186/s13104-023-06365-4.10.1186/s13104-023-06365-4PMC1024304837277882Spearman A.D., Sweet K., Zhou X.P., McLennan J., Couch F.J., Toland A.E. Clinically applicable models to characterize BRCA1 and BRCA2 variants of uncertain significance. J. Clin. Oncol. 2008;26:5393–5400. doi: 10.1200/JCO.2008.17.8228.10.1200/JCO.2008.17.8228PMC265107318824701Haffty B.G., Silber A., Matloff E., Chung J., Lannin D. Racial differences in the incidence of BRCA1 and BRCA2 mutations in a cohort of early onset breast cancer patients: African American compared to white women. J. Med. Genet. 2006;43:133–137. doi: 10.1136/jmg.2005.034744.10.1136/jmg.2005.034744PMC256462815983021Tavtigian S.V., Byrnes G.B., Goldgar D.E., Thomas A. Classification of rare missense substitutions, using risk surfaces, with genetic- and molecular-epidemiology applications. Hum. Mutat. 2008;29:1342–1354. doi: 10.1002/humu.20896.10.1002/humu.20896PMC393802318951461Doss C.G., Nagasundaram N. An integrated in silico approach to analyze the involvement of single amino acid polymorphisms in FANCD1/BRCA2-PALB2 and FANCD1/BRCA2-RAD51 complex. Cell Biochem. Biophys. 2014;70:939–956. doi: 10.1007/s12013-014-0002-9.10.1007/s12013-014-0002-924817641Infante M., Duran M., Esteban-Cardenosa E., Miner C., Velasco E. High proportion of novel mutations of BRCA1 and BRCA2 in breast/ovarian cancer patients from Castilla-Leon (central Spain) J. Hum. Genet. 2006;51:611–617. doi: 10.1007/s10038-006-0404-7.10.1007/s10038-006-0404-716758124Yang H., Jeffrey P.D., Miller J., Kinnucan E., Sun Y., Thoma N.H., Zheng N., Chen P.L., Lee W.H., Pavletich N.P. BRCA2 function in DNA binding and recombination from a BRCA2-DSS1-ssDNA structure. Science. 2002;297:1837–1848. doi: 10.1126/science.297.5588.1837.10.1126/science.297.5588.183712228710de Juan Jimenez I., Esteban Cardenosa E., Palanca Suela S., Barragan Gonzalez E., Aznar Carretero I., Munarriz Gandia B., Santaballa Bertran A., Torregrosa Maicas M.D., Guillen Ponce C., Sanchez Heras A.B., et al. Low prevalence of BRCA1 and BRCA2 mutations in the sporadic breast cancer of Spanish population. Fam. Cancer. 2012;11:49–56. doi: 10.1007/s10689-011-9481-7.10.1007/s10689-011-9481-721918853Maier C., Herkommer K., Luedeke M., Rinckleb A., Schrader M., Vogel W. Subgroups of familial and aggressive prostate cancer with considerable frequencies of BRCA2 mutations. Prostate. 2014;74:1444–1451. doi: 10.1002/pros.22860.10.1002/pros.2286025111659El Saghir N.S., Zgheib N.K., Assi H.A., Khoury K.E., Bidet Y., Jaber S.M., Charara R.N., Farhat R.A., Kreidieh F.Y., Decousus S., et al. BRCA1 and BRCA2 mutations in ethnic Lebanese Arab women with high hereditary risk breast cancer. Oncologist. 2015;20:357–364. doi: 10.1634/theoncologist.2014-0364.10.1634/theoncologist.2014-0364PMC439176725777348Caux-Moncoutier V., Pages-Berhouet S., Michaux D., Asselain B., Castera L., De Pauw A., Buecher B., Gauthier-Villars M., Stoppa-Lyonnet D., Houdayer C. Impact of BRCA1 and BRCA2 variants on splicing: Clues from an allelic imbalance study. Eur. J. Hum. Genet. 2009;17:1471–1480. doi: 10.1038/ejhg.2009.89.10.1038/ejhg.2009.89PMC298669319471317Rebbeck T.R., Mitra N., Wan F., Sinilnikova O.M., Healey S., McGuffog L., Mazoyer S., Chenevix-Trench G., Easton D.F., Antoniou A.C., et al. Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer. JAMA. 2015;313:1347–1361. doi: 10.1001/jama.2014.5985.10.1001/jama.2014.5985PMC453770025849179Mishra A.P., Sahu S., Sharan S.K. Coiled-Coil Domain: Uncoiling Tumor Suppression by BRCA1. Cancer Res. 2021;81:6080–6082. doi: 10.1158/0008-5472.CAN-21-3480.10.1158/0008-5472.CAN-21-348034911781Andreassen P.R., Seo J., Wiek C., Hanenberg H. Understanding BRCA2 Function as a Tumor Suppressor Based on Domain-Specific Activities in DNA Damage Responses. Genes. 2021;12:1034. doi: 10.3390/genes12071034.10.3390/genes12071034PMC830770534356050Martinez J.S., Baldeyron C., Carreira A. Molding BRCA2 function through its interacting partners. Cell Cycle. 2015;14:3389–3395. doi: 10.1080/15384101.2015.1093702.10.1080/15384101.2015.1093702PMC482561326566862Wong-Brown M.W., Meldrum C.J., Carpenter J.E., Clarke C.L., Narod S.A., Jakubowska A., Rudnicka H., Lubinski J., Scott R.J. Prevalence of BRCA1 and BRCA2 germline mutations in patients with triple-negative breast cancer. Breast Cancer Res. Treat. 2015;150:71–80. doi: 10.1007/s10549-015-3293-7.10.1007/s10549-015-3293-725682074Lu C., Xie M., Wendl M.C., Wang J., McLellan M.D., Leiserson M.D., Huang K.L., Wyczalkowski M.A., Jayasinghe R., Banerjee T., et al. Patterns and functional implications of rare germline variants across 12 cancer types. Nat. Commun. 2015;6:10086. doi: 10.1038/ncomms10086.10.1038/ncomms10086PMC470383526689913Fanale D., Fiorino A., Incorvaia L., Dimino A., Filorizzo C., Bono M., Cancelliere D., Calo V., Brando C., Corsini L.R., et al. Prevalence and Spectrum of Germline BRCA1 and BRCA2 Variants of Uncertain Significance in Breast/Ovarian Cancer: Mysterious Signals From the Genome. Front. Oncol. 2021;11:682445. doi: 10.3389/fonc.2021.682445.10.3389/fonc.2021.682445PMC822616234178674Hucl T., Rago C., Gallmeier E., Brody J.R., Gorospe M., Kern S.E. A syngeneic variance library for functional annotation of human variation: Application to BRCA2. Cancer Res. 2008;68:5023–5030. doi: 10.1158/0008-5472.CAN-07-6189.10.1158/0008-5472.CAN-07-6189PMC253670418593900Walters-Sen L.C., Hashimoto S., Thrush D.L., Reshmi S., Gastier-Foster J.M., Astbury C., Pyatt R.E. Variability in pathogenicity prediction programs: Impact on clinical diagnostics. Mol. Genet. Genom. Med. 2015;3:99–110. doi: 10.1002/mgg3.116.10.1002/mgg3.116PMC436708225802880Gonzalez-Perez A., Lopez-Bigas N. Improving the assessment of the outcome of nonsynonymous SNVs with a consensus deleteriousness score, Condel. Am. J. Hum. Genet. 2011;88:440–449. doi: 10.1016/j.ajhg.2011.03.004.10.1016/j.ajhg.2011.03.004PMC307192321457909