57 research outputs found
Damaging variants in FOXI3 cause microtia and craniofacial microsomia
Q1Q1Pacientes con Microtia y Microsomía craneofacialPurpose:
Craniofacial microsomia (CFM) represents a spectrum of craniofacial malformations, ranging from isolated microtia with or without aural atresia to underdevelopment of the mandible, maxilla, orbit, facial soft tissue, and/or facial nerve. The genetic causes of CFM remain largely unknown.
Methods:
We performed genome sequencing and linkage analysis in patients and families with microtia and CFM of unknown genetic etiology. The functional consequences of damaging missense variants were evaluated through expression of wild-type and mutant proteins in vitro.
Results:
We studied a 5-generation kindred with microtia, identifying a missense variant in FOXI3 (p.Arg236Trp) as the cause of disease (logarithm of the odds = 3.33). We subsequently identified 6 individuals from 3 additional kindreds with microtia-CFM spectrum phenotypes harboring damaging variants in FOXI3, a regulator of ectodermal and neural crest development. Missense variants in the nuclear localization sequence were identified in cases with isolated microtia with aural atresia and found to affect subcellular localization of FOXI3. Loss of function variants were found in patients with microtia and mandibular hypoplasia (CFM), suggesting dosage sensitivity of FOXI3.
Conclusion:
Damaging variants in FOXI3 are the second most frequent genetic cause of CFM, causing 1% of all cases, including 13% of familial cases in our cohort.https://orcid.org/0000-0003-3822-7780https://orcid.org/0000-0002-0729-6866Revista Internacional - IndexadaA1N
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Do geometric models affect judgments of human motion?
Human figures have been animated using a wide variety of geometric models including stick figures, polygonal models, and NURBS-based models with muscles, flexible skin, or clothing. This paper reports on experiments designed to ascertain whether a viewer's perception of motion characteristics is affected by the geometric model used for rendering. Subjects were shown a series of paired motion sequences and asked if the two motions in each pair were `the same' or `different.' The two motion sequences in each pair used the same geometric model. For each trial, the pairs of motion sequences were grouped into two sets where one set was rendered with a stick figure model and the other set was rendered with a polygonal model. Sensitivity measures for each trial indicate that for these sequences subjects were better able to discriminate motion variations with the polygonal model than with the stick figure model
Incorporating Basis Expectation into Hedging Effectiveness Measures
It is suggested that, if the traditional portfolio approach to measuring hedging effectiveness is used, the underlying ex-ante basisexpectation model be specified explicitly. An empirical example comparing the proposed method to a traditional method for soybean hedges during 1966-83 is presented
Illumination invariant face recognition based on dual‐tree complex wavelet transform
This study presents a new dual‐tree complex wavelet transform (DT‐CWT)‐based illumination normalisation approach for face recognition under varying lighting conditions. The method consists of three steps. First, the DT‐CWT‐based edge detection method is proposed which can obtain estimation for facial feature edges in different directionality and resolution level. Second, the DT‐CWT‐based denoising model is employed to obtain the multi‐scale illumination invariant structures in the logarithm domain. Finally, by combining the obtained illumination invariant features and edge estimation information, the enhanced facial features are obtained which have more discriminating power for variable lighting face recognition. The effectiveness of the method is validated in comparative performance against many classical illumination compensation methods using the YaleB database and the CMU PIE database
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