{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T08:06:35Z","timestamp":1790496395131,"version":"4.1.0"},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>The transmission disequilibrium test (TDT) is a standard method to detect association using family trio design. It is optimal for an additive genetic model. Other TDT-type tests optimal for recessive and dominant models have also been developed. Association tests using family data, including the TDT-type statistics, have been unified to a class of more comprehensive and flexable family-based association tests (FBAT). TDT-type tests have high efficiency when the genetic model is known or correctly specified, but may lose power if the model is mis-specified. Hence tests that are robust to genetic model mis-specification yet efficient are preferred. Constrained likelihood ratio test (CLRT) and MAX-type test have been shown to be efficiency robust. In this paper we propose a new efficiency robust procedure, referred to as adaptive TDT (aTDT). It uses the Hardy-Weinberg disequilibrium coefficient to identify the potential genetic model underlying the data and then applies the TDT-type test (or FBAT for general applications) corresponding to the selected model. Simulation demonstrates that aTDT is efficiency robust to model mis-specifications and generally outperforms the MAX test and CLRT in terms of power. We also show that aTDT has power close to, but much more robust, than the optimal TDT-type test based on a single genetic model. Applications to real and simulated data from Genetic Analysis Workshop (GAW) illustrate the use of our adaptive TDT.<\/jats:p>","DOI":"10.2202\/1544-6115.1451","type":"journal-article","created":{"date-parts":[[2009,6,24]],"date-time":"2009-06-24T08:32:00Z","timestamp":1245832320000},"source":"Crossref","is-referenced-by-count":5,"title":["Adaptive Transmission Disequilibrium Test for Family Trio Design"],"prefix":"10.1515","volume":"8","author":[{"given":"Min","family":"Yuan","sequence":"first","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Tian","sequence":"additional","affiliation":[{"name":"National Heart, Lung and Blood Institute"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Zheng","sequence":"additional","affiliation":[{"name":"National Heart, Lung and Blood Institute"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaning","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2009,6,23]]},"container-title":["Statistical Applications in Genetics and Molecular Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.2202\/1544-6115.1451\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.2202\/1544-6115.1451\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T15:29:31Z","timestamp":1765553371000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.2202\/1544-6115.1451\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,6,23]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2009,1,21]]}},"alternative-id":["10.2202\/1544-6115.1451"],"URL":"https:\/\/doi.org\/10.2202\/1544-6115.1451","relation":{},"ISSN":["1544-6115"],"issn-type":[{"value":"1544-6115","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,6,23]]}}}