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The majority of AD research has been dedicated to the understanding of two major AD hallmarks (i.e. A\u03b2 and NFTs); however, recent genome-wide association studies (GWAS) data indicate neuroinflammation as having a critical role in late-onset AD (LOAD) development, thus unveiling a novel avenue for AD therapeutics. Recent evidence has provided much support to the innate immune system's involvement with AD progression; however, much remains to be uncovered regarding the role of glial cells, specifically microglia, in AD. Moreover, numerous variants in immune and\/or microglia-related genes have been identified in whole-genome sequencing and GWAS analyses, including such genes as\n                    <jats:italic>TREM2<\/jats:italic>\n                    ,\n                    <jats:italic>CD33<\/jats:italic>\n                    ,\n                    <jats:italic>APOE<\/jats:italic>\n                    ,\n                    <jats:italic>API1<\/jats:italic>\n                    ,\n                    <jats:italic>MS4A<\/jats:italic>\n                    ,\n                    <jats:italic>ABCA7<\/jats:italic>\n                    ,\n                    <jats:italic>BIN1<\/jats:italic>\n                    ,\n                    <jats:italic>CLU<\/jats:italic>\n                    ,\n                    <jats:italic>CR1<\/jats:italic>\n                    ,\n                    <jats:italic>INPP5D<\/jats:italic>\n                    ,\n                    <jats:italic>PICALM<\/jats:italic>\n                    and\n                    <jats:italic>PLCG2<\/jats:italic>\n                    . In this review, we aim to provide an insight into the function of the major LOAD-associated microglia response genes.\n                  <\/jats:p>","DOI":"10.1098\/rsob.210280","type":"journal-article","created":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T03:06:10Z","timestamp":1643166370000},"update-policy":"https:\/\/doi.org\/10.1098\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Functional insight into LOAD-associated microglial response genes"],"prefix":"10.1098","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3593-1967","authenticated-orcid":true,"given":"Lauren A.","family":"Jonas","sequence":"first","affiliation":[{"name":"Weill Cornell, Weill Graduate School of Medical Sciences of Cornell University, New York, NY 10065, USA"},{"name":"Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, 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