Person: Gymrek, Melissa Ann
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Publication OTX2 Duplication Is Implicated in Hemifacial Microsomia
(Public Library of Science, 2014) Zielinski, Dina; Markus, Barak; Sheikh, Mona; Gymrek, Melissa Ann; Chu, Clement; Zaks, Marta; Srinivasan, Balaji; Hoffman, Jodi D.; Aizenbud, Dror; Erlich, YanivHemifacial microsomia (HFM) is the second most common facial anomaly after cleft lip and palate. The phenotype is highly variable and most cases are sporadic. We investigated the disorder in a large pedigree with five affected individuals spanning eight meioses. Whole-exome sequencing results indicated the absence of a pathogenic coding point mutation. A genome-wide survey of segmental variations identified a 1.3 Mb duplication of chromosome 14q22.3 in all affected individuals that was absent in more than 1000 chromosomes of ethnically matched controls. The duplication was absent in seven additional sporadic HFM cases, which is consistent with the known heterogeneity of the disorder. To find the critical gene in the duplicated region, we analyzed signatures of human craniofacial disease networks, mouse expression data, and predictions of dosage sensitivity. All of these approaches implicated OTX2 as the most likely causal gene. Moreover, OTX2 is a known oncogenic driver in medulloblastoma, a condition that was diagnosed in the proband during the course of the study. Our findings suggest a role for OTX2 dosage sensitivity in human craniofacial development and raise the possibility of a shared etiology between a subtype of hemifacial microsomia and medulloblastoma.
Publication Back to the family: a renewed approach to rare variant studies
(BioMed Central, 2012) Zielinski, Dina; Gymrek, Melissa Ann; Erlich, YanivA report on the 62nd Annual Meeting of the American Society of Human Genetics, San Francisco, California, USA, 6-10 November 2012.
Publication Recommendations for open data science
(BioMed Central, 2016) Gymrek, Melissa Ann; Farjoun, YossiLife science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.
Publication The Simons Genome Diversity Project: 300 genomes from 142 diverse populations
(Springer Nature, 2016) Mallick, Swapan; Li, Heng; Lipson, Mark; Mathieson, Iain; Gymrek, Melissa Ann; Racimo, Fernando; Zhao, Mengyao; Chennagiri, Niru; Nordenfelt, Susanne; Tandon, Arti; Skoglund, Pontus R; Lazaridis, Iosif; Sankararaman, Sriram; Fu, Qiaomei; Rohland-Pinello, Nadin; Renaud, Gabriel; Erlich, Yaniv; Willems, Thomas; Gallo, Carla; Spence, Jeffrey P.; Song, Yun; Poletti, Giovanni; Balloux, Francois; van Driem, George; de Knijff, Peter; Romero, Irene Gallego; Jha, Aashish R.; Behar, Doron M.; Bravi, Claudio M.; Capelli, Cristian; Hervig, Tor; Moreno-Estrada, Andres; Posukh, Olga L.; Balanovska, Elena; Balanovsky, Oleg; Karachanak-Yankova, Sena; Sahakyan, Hovhannes; Toncheva, Draga; Yepiskoposyan, Levon; Tyler-Smith, Chris; Xue, Yali; Abdullah, M. Syafiq; Ruiz-Linares, Andres; Beall, Cynthia M.; Di Rienzo, Anna; Jeong, Choongwon; Starikovskaya, Elena B.; Metspalu, Ene; Parik, Jüri; Villems, Richard; Henn, Brenna M.; Hodoglugil, Ugur; Mahley, Robert; Sajantila, Antti; Stamatoyannopoulos, George; Wee, Joseph T. S.; Khusainova, Rita; Khusnutdinova, Elza; Litvinov, Sergey; Ayodo, George; Comas, David; Hammer, Michael F.; Kivisild, Toomas; Klitz, William; Winkler, Cheryl A.; Labuda, Damian; Bamshad, Michael; Jorde, Lynn B.; Tishkoff, Sarah A.; Watkins, W. Scott; Metspalu, Mait; Dryomov, Stanislav; Sukernik, Rem; Singh, Lalji; Thangaraj, Kumarasamy; Pääbo, Svante; Kelso, Janet; Patterson, Nick; Reich, DavidWe report the Simons Genome Diversity Project (SGDP) dataset: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergence. We show that the ancestors of some pairs of present-day human populations were substantially separated by 100,000 years ago, well before the archaeologically attested onset of behavioral modernity. We also demonstrate that indigenous Australians, New Guineans and Andamanese do not derive substantial ancestry from an early dispersal of modern humans; instead, their modern human ancestry is consistent with coming from the same source as that in other non-Africans.