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      Worldwide distribution of the DCDC2 READ1 regulatory element and its relationship with phoneme variation across languages

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          Significance

          Languages evolve rapidly due to an interaction between sociocultural factors and underlying phonological processes that are influenced by genetic factors. DCDC2 has been strongly associated with core components of the phonological processing system in animal models and multiple independent studies of populations and languages. To characterize subtle language differences arising from genetic variants associated with phonological processes, we examined the relationship between READ1, a regulatory element in DCDC2, and phonemes in languages of 43 populations across five continents. Variation in READ1 was significantly correlated with the number of consonants. Our results suggest that subtle cognitive biases conferred by different READ1 alleles are amplified through cultural transmission that shape consonant use by populations over time.

          Abstract

          DCDC2 is a gene strongly associated with components of the phonological processing system in animal models and in multiple independent studies of populations and languages. We propose that it may also influence population-level variation in language component usage. To test this hypothesis, we investigated the evolution and worldwide distribution of the READ1 regulatory element within DCDC2, and compared its distribution with variation in different language properties. The mutational history of READ1 was estimated by examining primate and archaic hominin sequences. This identified duplication and expansion events, which created a large number of polymorphic alleles based on internal repeat units (RU1 and RU2). Association of READ1 alleles was studied with respect to the numbers of consonants and vowels for languages in 43 human populations distributed across five continents. Using population-based approaches with multivariate ANCOVA and linear mixed effects analyses, we found that the RU1-1 allele group of READ1 is significantly associated with the number of consonants within languages independent of genetic relatedness, geographic proximity, and language family. We propose that allelic variation in READ1 helped create a subtle cognitive bias that was amplified by cultural transmission, and ultimately shaped consonant use by different populations over time.

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          Most cited references38

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          The complete genome sequence of a Neandertal from the Altai Mountains

          We present a high-quality genome sequence of a Neandertal woman from Siberia. We show that her parents were related at the level of half siblings and that mating among close relatives was common among her recent ancestors. We also sequenced the genome of a Neandertal from the Caucasus to low coverage. An analysis of the relationships and population history of available archaic genomes and 25 present-day human genomes shows that several gene flow events occurred among Neandertals, Denisovans and early modern humans, possibly including gene flow into Denisovans from an unknown archaic group. Thus, interbreeding, albeit of low magnitude, occurred among many hominin groups in the Late Pleistocene. In addition, the high quality Neandertal genome allows us to establish a definitive list of substitutions that became fixed in modern humans after their separation from the ancestors of Neandertals and Denisovans.
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            Developmental dyslexia.

            Dyslexia is a neurodevelopmental disorder that is characterised by slow and inaccurate word recognition. Dyslexia has been reported in every culture studied, and mounting evidence draws attention to cross-linguistic similarity in its neurobiological and neurocognitive bases. Much progress has been made across research specialties spanning the behavioural, neuropsychological, neurobiological, and causal levels of analysis in the past 5 years. From a neuropsychological perspective, the phonological theory remains the most compelling, although phonological problems also interact with other cognitive risk factors. Work confirms that, neurobiologically, dyslexia is characterised by dysfunction of the normal left hemisphere language network and also implicates abnormal white matter development. Studies accounting for reading experience demonstrate that many recorded neural differences show causes rather than effects of dyslexia. Six predisposing candidate genes have been identified, and evidence shows gene by environment interaction. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              A direct characterization of human mutation based on microsatellites

              Mutations are the raw material of evolution, but have been difficult to study directly. We report the largest study of new mutations to date: 2,058 germline changes discovered by analyzing 85,289 Icelanders at 2,477 microsatellites. The paternal-to-maternal mutation rate ratio is 3.3, and the rate in fathers doubles from age 20 to 58 whereas there is no association with age in mothers. Longer microsatellite alleles are more mutagenic and tend to decrease in length, whereas the opposite is seen for shorter alleles. We use these empirical observations to build a model that we apply to individuals for whom we have both genome sequence and microsatellite data, allowing us to estimate key parameters of evolution without calibration to the fossil record. We infer that the sequence mutation rate is 1.4–2.3×10−8 per base pair per generation (90% credible interval), and that human-chimpanzee speciation occurred 3.7–6.6 million years ago.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                8 May 2018
                16 April 2018
                16 April 2018
                : 115
                : 19
                : 4951-4956
                Affiliations
                [1] aDepartment of Pediatrics, Yale University School of Medicine , New Haven, CT 06520;
                [2] bDepartment of Linguistics, Zhejiang University , Hangzhou, 310058 Zhejiang, China;
                [3] cDepartment of Linguistics, Yale University , New Haven, CT 06520;
                [4] dHaskins Laboratories , New Haven, CT 06511;
                [5] eDepartment of Genetics, Yale University School of Medicine , New Haven, CT 06520;
                [6] fChild and Youth Studies, Brock University , St. Catherine’s, ON L2S 3A1, Canada;
                [7] gInvestigative Medicine Program, Yale University School of Medicine , New Haven, CT 06520
                Author notes
                1To whom correspondence should be addressed. Email: jeffrey.gruen@ 123456yale.edu .

                Edited by Marcus W. Feldman, Stanford University, Stanford, CA, and approved March 15, 2018 (received for review June 22, 2017)

                Author contributions: M.M.C.D. and J.R.G. designed research; M.M.C.D., K.T., C.M.M., C.G., N.R.P., and B.M.B. performed research; C.M.M. contributed new reagents/analytic tools; M.M.C.D., C.M.M., J.G.M., A.K.A., D.T.T., and J.C.F. analyzed data; M.M.C.D., K.T., and J.R.G. wrote the paper; and J.G.M. and D.T.T. provided background material.

                Author information
                http://orcid.org/0000-0001-7068-395X
                http://orcid.org/0000-0001-7382-9344
                http://orcid.org/0000-0001-5625-4892
                http://orcid.org/0000-0001-7640-2071
                Article
                201710472
                10.1073/pnas.1710472115
                5948951
                29666269
                be847139-98d2-44e9-b718-06a52919caf3
                Copyright © 2018 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 6
                Funding
                Funded by: The Manton Foundation
                Award ID: Private Foundation
                Funded by: HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) 100009633
                Award ID: HD027802
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 100000065
                Award ID: NS43530
                Categories
                Biological Sciences
                Genetics
                Social Sciences
                Psychological and Cognitive Sciences

                dcdc2,read1,phoneme,language,genetics
                dcdc2, read1, phoneme, language, genetics

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