Table 2.

Summary of candidate genes used in AD pathology

Year	Author	Dataset	Methods	Novel genes
1991 [7]	Goate et al.	Gene Cloning	Molecular studies	APP gene
1993 [10]	Corder et al.	Gene Cloning	Molecular studies	APOE gene
1995 [8, 9]	Sherrington et al.	Gene Cloning	Molecular studies	2 genes (PSEN1 and PSEN2)
2009–2011 [16, 27– 30]	Lambert et al.	GERAD EADI CHARGE ADGC	Meta-analysis	11 genes (CLU, PICALM, CR1, BIN1, CD2AP, CD33, EPHA1, MS4A4A, ABCA7, MS4A6A, and MS4A4E)
2013 [31]	Lambert et al.	IGAP (n = 74,046)	Meta-analysis	11 genes (HLA-DRB5, SORL1, PTK2B, SLC24A4-RIN3, ZCWPW1, NME8, FERMT2, CELF1, INPP5D, MEF2C, and CASS4)
2017 [32]	Sims et al.	IGAP (n = 85,133)	Meta-analysis	3 genes (PLCG2, ABI3, and TREM2)
2017 [33]	Liu et al.	UK Biobank (n = 116,196)	Meta-analysis	4 genes (HBEGF, ECHDC3, SPPL2A, and SCIMP)
2018 [34]	Marioni et al.	UK Biobank (n = 314,278)	Meta-analysis	3 genes (ADAM10, KAT8, and ACE)
2019 [21]	Jansen et al.	PGC-ALZ IGAP ADSP (n = 455,266)	Meta-analysis	8 genes (ADAMTS4, HESX1, CLNK, CNTAP2, APH1B, ABI3, ALPK2, and ACO74212.3)
2019 [20]	Kunkle et al.	IGAP (n = 94,437)	Meta-analysis	5 genes (IQCK, ACE, ADAM10, ADAMTS1, and WWOX)
2020 [24]	Schwartzentruber et al.	UK Biobank (n = 408,942)	Meta-analysis	4 genes (CCDC6, TSPAN14, NCK2, and SPRED2)
2021 [25]	Wightman et al.	1,126,563 individuals	Meta-analysis	7 genes (AGRN, TNIP1, TMEM106B, GRN, HAVCR2, NTN5, and LILRB2)