{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T22:05:46Z","timestamp":1792706746772,"version":"4.5.0"},"reference-count":55,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2011,8,19]],"date-time":"2011-08-19T00:00:00Z","timestamp":1313712000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["American J of Med Genetics Pt B"],"published-print":{"date-parts":[[2011,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The identification of clinical and biological markers of disease in persons at risk for Huntington disease (HD) has increased in efforts to better quantify and characterize the epoch of prodrome prior to clinical diagnosis. Such efforts are critical in the design and implementation of clinical trials for HD so that interventions can occur at a time most likely to increase neuronal survival and maximize daily functioning. A prime consideration in the examination of prodromal individuals is their proximity to diagnosis. It is necessary to quantify proximity so that individual differences in key marker variables can be properly interpreted. We take a data\u2010driven approach to develop an index that can be viewed as a proxy for time to HD diagnosis known as the CAG\u2010Age Product Scaled or CAP\n                    <jats:sub>S<\/jats:sub>\n                    . CAP\n                    <jats:sub>S<\/jats:sub>\n                    is an observed utility variable computed for all genetically at\u2010risk individuals based on age at study entry and CAG repeat length. Results of a longitudinal receiver operating characteristic (ROC) analysis showed that CAP\n                    <jats:sub>S<\/jats:sub>\n                    had a relatively strong ability to predict individuals who became diagnosed, especially in the first 2 years. Bootstrap validation provided evidence that CAP\n                    <jats:sub>S<\/jats:sub>\n                    computed on a new sample from the same population could have similar discriminatory power. Cutoffs for the empirical CAP\n                    <jats:sub>S<\/jats:sub>\n                    distribution can be used to create a classification for mutation\u2010positive individuals (\n                    <jats:italic>Low\u2013Med\u2013High<\/jats:italic>\n                    ), which is, useful for comparison with the naturally occurring mutation\u2010negative\n                    <jats:italic>Control<\/jats:italic>\n                    group. The classification is an improvement over the one currently in use as it is based on observed data rather than model\u2010based estimated values. \u00a9 2011 Wiley\u2010Liss, Inc.\n                  <\/jats:p>","DOI":"10.1002\/ajmg.b.31232","type":"journal-article","created":{"date-parts":[[2011,8,19]],"date-time":"2011-08-19T21:08:03Z","timestamp":1313788083000},"page":"751-763","source":"Crossref","is-referenced-by-count":208,"title":["Indexing disease progression at study entry with individuals at\u2010risk for Huntington disease"],"prefix":"10.1002","volume":"156","author":[{"given":"Ying","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey D.","family":"Long","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James A.","family":"Mills","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John H.","family":"Warner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjing","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jane S.","family":"Paulsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"the PREDICT\u2010HD Investigators and Coordinators of the Huntington Study Group","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2011,8,19]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1136\/jmg.2006.045153"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.2006.00335.x"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/ng0893-398"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2010.208264"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.4088\/JCP.v69n1111"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/mds.22601"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-4356(03)00207-5"},{"issue":"5","key":"e_1_2_9_9_1","first-page":"1202","article-title":"The likelihood of being affected with Huntington disease by a particular age, for a specific CAG size","volume":"60","author":"Brinkman RR","year":"1997","journal-title":"Am J Hum Genet"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1034\/j.1399-0004.1999.550308.x"},{"key":"e_1_2_9_11_1","first-page":"488","volume-title":"Model selection and multimodel inference: A practical information\u2010theoretic approach","author":"Burnham KP","year":"2002"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.61.6.621"},{"key":"e_1_2_9_13_1","first-page":"660","volume-title":"Statistical inference","author":"Casella G","year":"2002"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3181eccfa2"},{"issue":"2","key":"e_1_2_9_15_1","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1176\/jnp.2010.22.2.196","article-title":"Frontal\u201d behaviors before the diagnosis of Huntington's disease and their relationship to markers of disease progression: Evidence of early lack of awareness","volume":"22","author":"Duff K","year":"2010","journal-title":"J Neuropsychiatry Clin Neurosci"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1986.10478291"},{"key":"e_1_2_9_17_1","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1007\/978-1-4899-4541-9","volume-title":"An introduction to the bootstrap. 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