Journal article
An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge
Genome biology, Vol.15(3), R53
03/25/2014
DOI: 10.1186/gb-2014-15-3-r53
PMCID: PMC4073084
PMID: 24667040
Abstract
There is tremendous potential for genome sequencing to improve clinical diagnosis and care once it becomes routinely accessible, but this will require formalizing research methods into clinical best practices in the areas of sequence data generation, analysis, interpretation and reporting. The CLARITY Challenge was designed to spur convergence in methods for diagnosing genetic disease starting from clinical case history and genome sequencing data. DNA samples were obtained from three families with heritable genetic disorders and genomic sequence data were donated by sequencing platform vendors. The challenge was to analyze and interpret these data with the goals of identifying disease-causing variants and reporting the findings in a clinically useful format. Participating contestant groups were solicited broadly, and an independent panel of judges evaluated their performance. A total of 30 international groups were engaged. The entries reveal a general convergence of practices on most elements of the analysis and interpretation process. However, even given this commonality of approach, only two groups identified the consensus candidate variants in all disease cases, demonstrating a need for consistent fine-tuning of the generally accepted methods. There was greater diversity of the final clinical report content and in the patient consenting process, demonstrating that these areas require additional exploration and standardization. The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases. There is remarkable convergence in bioinformatic techniques, but medical interpretation and reporting are areas that require further development by many groups.
Details
- Title: Subtitle
- An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge
- Creators
- Michael F MurrayTune H PersPaz P PolakSoumya RaychaudhuriHeidi L RehmRachel SoemediNathan O StitzielSara VesteckaJochen SupperClaudia GugenmusBernward KlockeAlexander HahnMax SchubachMortiz MenzelSaskia BiskupPeter FreisingerMario DengMartin BraunSven PernerRichard J H SmithJaneen L AndorfRichard S FinkelCatherine A BrownsteinIngrid A HolmAlan H BeggsSabrina W YumJian HuangDiana L KolbeNils HomerLivija MedneLovelace J LuquetteKelli RyckmanShamil R SunyaevBarry MerrimanTodd E ScheetzVal C SheffieldIvan AdzhubeyTimothy W YuEdwin M StoneElaine LyonChristopher A CassaKatherine C FlanneryThomas BairAiden E ShearerElizabeth T DeChenePaul I W de BakkerE Ann Black-ZiegelbeinJoseph MajzoubHatice DuzkaleMeghan C TowneRama SompallaeTerry A BraunSarah K SavagePiotr DworzyńskiPeter NeupertBenjamin DarbroWilliam FairbrotherEmily N PriceKai WangAdam P DeLucaLaurent FrancioliDavid McCallie JrBirgit H FunkeAlexander G BassukMonica A GiovanniPeter SzolovitsRobert E HandsakerErik EdensKasper LageHuntington F WillardMatthew S LeboKatherine MathewsMonkol LekNancy J MendelsohnIgnaty LeshchinerSteven A MooreDaniel G MacArthurRenee TemmeHeather M McLaughlinOleg A ShchelochkovPamela TrapaneAaron BosslerColleen A CampbellJonathan W HeuselAnne KwitekTara MagaKarin PanzerThomas WassinkDouglas Van DaeleHela AzaiezKevin BoothNic MeyerMichael M SegalMarc S WilliamsGerard TrompPeter WhiteDonald CorsmeierSara Fitzgerald-ButtGail HermanDevon Lamb-ThrushKim L McBrideDavid NewsomChristopher R PiersonAlexander T RakowskyAleš MaverLuca LovrečićAnja PalandačićBorut PeterlinAli TorkamaniAnna WedellMikael HussAndrey AlexeyenkoJessica M LindvallMåns MagnussonDaniel NilssonHenrik StranneheimFulya TaylanChristian GilissenAlexander HoischenBregje van BonHelger YntemaMarcel NelenWeidong ZhangJason SagerLu ZhangKathryn BlairDeniz KuralMichael CariasoGreg G LennonAsif JavedSaloni AgrawalPauline C NgKomal S SandhuShuba KrishnaVamsi VeeramachaneniOfer IsakovEran HalperinEitan FriedmanNoam ShomronGustavo GlusmanJared C RoachJuan CaballeroHannah C CoxDenise MauldinSeth A AmentLee RowenDaniel R RichardsF Anthony San LucasManuel L Gonzalez-GarayC Thomas CaskeyYu BaiYing HuangFang FangYan ZhangJorge BarreraJuan M Garcia-LoboDomingo González-LamuñoJavier LlorcaMaria C RodriguezIgnacio VarelaMartin G ReeseFrancisco M De La VegaEdward KirulutaMichele CargillReece K HartJon M SorensonGholson J LyonDavid A StevensonBruce E BrayBarry M MooreKaren EilbeckMark YandellLin HouXiaowei Chen - Yale UniversityXiting YanMengjie ChenCan YangMurat GunelPeining LiYong KongAustin C AlexanderZayed I AlbertynKym M BoycottDennis E BulmanPaul M K GordonA Micheil InnesBartha M KnoppersJacek MajewskiChristian R MarshallJillian S ParboosinghSarah L SawyerMark E SamuelsJeremy SchwartzentruberIsaac S KohaneHongyu Zhao - Yale UniversityDavid M MarguliesCong LiZhengyuan Wang - National Institutes of Health
- Resource Type
- Journal article
- Publication Details
- Genome biology, Vol.15(3), R53
- DOI
- 10.1186/gb-2014-15-3-r53
- PMID
- 24667040
- PMCID
- PMC4073084
- NLM abbreviation
- Genome Biol
- ISSN
- 1474-7596
- eISSN
- 1474-760X
- Publisher
- England
- Grant note
- P30 HD018655 / NICHD NIH HHS T32 GM008629 / NIGMS NIH HHS K99 HG007229 / NHGRI NIH HHS DP1 OD003347 / NIH HHS R01 GM104390 / NIGMS NIH HHS Howard Hughes Medical Institute U01 HG006476 / NHGRI NIH HHS R01 HL109758 / NHLBI NIH HHS K12 HD027748 / NICHD NIH HHS P30 CA086862 / NCI NIH HHS
- Language
- English
- Date published
- 03/25/2014
- Academic Unit
- Neurology; Electrical and Computer Engineering; Psychiatry; The University of Iowa Institute for Vision Research; Pathology; Biostatistics; Medical Genetics and Genomics; Otolaryngology; Iowa Institute of Human Genetics; Statistics and Actuarial Science; Roy J. Carver Department of Biomedical Engineering; Molecular Physiology and Biophysics; Anatomy and Cell Biology; Stead Family Department of Pediatrics; Epidemiology; Iowa Neuroscience Institute; Radiation Oncology; Center for Bioinformatics and Computational Biology; Neurology (Pediatrics); Medicine Administration; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9983980064002771
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