L-selectin expression defines a subpopulation of In vitro generated AML-reactive T-cells with superior anti-leukemic efficacy for adoptive immunotherapy

Sauer, MG; Ericson, ME; Levine, BL; June, CH; Weigel, BJ; Welte, Karl; Blazar, BR

doi:10.1055/s-2004-828590

Cited by 3 publications

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Incidence of inherited metabolic disorders in southern Israel: a comparison between consanguinity and non-consanguinity communities

Hazan

Hershkovitz

Staretz‐Chacham

2020

Orphanet J Rare Dis

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Background Inherited metabolic disorders (IMDs) are group of rare monogenic diseases, usually derived from reduced or absent activity in a single metabolic pathway. Most of the IMDs are inherited in an autosomal recessive manner. The incidence of IMDs varies from country to country and within different ethnic groups, but data is still scarce. Consanguinity rate among populations is highly contributor factor for IMDs incidence. There are no reports comparing the incidence of IMD in consanguineous and non-consanguineous populations from the same geographic region with the same diagnostic capabilities. Our study objective is to compare the incidence of IMDs between between the relatively low consanguineous Jewish population and the consanguineous Bedouin population, both living in the southern of Israel. Results During 1990–2017 there were 393,772 live births in the Negev district, of Southern of Israel. Among them 187,049 were of Jewish origin while 206,723 were of Bedouin-Muslim origin. A total of 223 children were diagnosed in this study period with IMDs. Among those 223 children with IMD, 33 were of Jewish origin while the other 190 children were of Bedouin-Muslim origin. The overall incidence for IMDs of the overall Negev population was 56.6/100,000 live birth. The incidence for IMD's among the Bedouin population was significantly higher than among Jewish population. Conclusions IMDs are extremely more common in the consanguineous Bedouin compared with the relatively non-consanguineous Jewish population of Southern Israel. Health policy makers should consider these data and prepare educational and genetic counselling problems accordingly.

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