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. 2022 Jun 1;68(3):115–124. doi: 10.1038/s10038-022-01050-z

Table 3.

Statistics of AD susceptibility loci found in Japanese, Chinese and South Korean populations

SNPa CHR:POS (GRCh38)b Nearest genec Location The number of subjects in East Asiand (Discovery cohort / Replication cohort) Healthy controls Stratification ORe MAF (gnomAD v3.1.2)f Genotyping platform Reference
AD patients East Asian non-Finnish European MAF differenceg
Japanese studies
 rs4598682 11:121,505,242 SORL1 intron 891/885 844/985 All samples 0.75 0.192 0.01884 0.173 SNP array, PCR assay [24]
 rs1992269 18:1,872,316 ENSG00000266602 intron 816/1011 7992/7212 All samples 1.66 0.01777 0.1819 −0.164 SNP array, PCR assay [26]
 rs802571 7:146,265,094 CNTNAP2 intron 489/528 6463/5824 APOEε4 non-carrier 0.52 0.02928 0.03317 −0.004 SNP array, PCR assay [26]
 rs11613092 12:118,455,443 SUDS3 intergenic 323/480 1484/1364 APOEε4 carrier 0.61 0.1367 0.06899 0.068 SNP array, PCR assay [26]
 rs920608 4:76,217,307 FAM47E, SCARB2 intron 3962/1216 4074/2446 All samples 0.65 0.0433 0.009 0.034 SNP array, PCR assay [27]
Chinese studies
 rs72713460 14:54,830,325 GCH1 intergenic 477 2187 All samples 1.74 0.1339 0.2188 −0.085 WGS [28]
 rs2591054 15:57,320,212 LINC01413 intron 477 2187 All samples 0.61 0.2489 0.4126 −0.164 WGS [28]
 rs73052335 19:44,916,825 APOC1 intron 477 2187 All samples 4.27 0.09286 0.1247 −0.032 WGS [28]
 rs928771 21:38,291,838 KCNJ15 intron 477 2187 All samples 1.59 0.1549 0.4975 −0.343 WGS [28]
 rs3777215 5:95,786,296 RHOBTB3, GLRX intron 1595/2234 2474/5085 All samples 0.69 0.1683 0.2307 −0.062 SNP array, MALDI-TOFMS [29]
 rs6859823 5:106,218,683 ENSG00000252337 intergenic 1595/2234 2474/5085 All samples 0.74 0.3688 0.425 −0.056 SNP array, MALDI-TOFMS [29]
 rs234434 14:97,354,683 LINC02325 intergenic 1595/2234 2474/5085 All samples 1.71 0.2398 0.3077 −0.068 SNP array, MALDI-TOFMS [29]
 rs2255835 21:18,119,346 CHODL intron 1595/2234 2474/5085 All samples 1.23 0.296 0.6536 −0.358 SNP array, MALDI-TOFMS [29]
South Korean studies
 rs12063304 1:24,745,177 CLIC4 intergenic 543/331 169/894 All samples 0.57 0.04822 0.03179 0.016 WGS, SNP array [30]
 rs80020083 7:158,491,056 PTPRN2 intron 543/331 169/894 All samples 0.56 0.03888 0.0003527 0.039 WGS, SNP array [30]
 rs967326 8:18,689,751 PSD3 intron 543/331 169/894 All samples 1.33 0.3275 0.0523 0.275 WGS, SNP array [30]
 rs144835823 10:107,242,334 SORCS1 intergenic 543/331 169/894 All samples 0.32 0.01719 0.0000294 0.017 WGS, SNP array [30]
 rs78442236 10:107,273,420 SORCS1 intergenic 543/331 169/894 All samples 0.21 0.01676 0.0000294 0.017 WGS, SNP array [30]
 rs74352072 11:119,921,300 ENSG00000288047 intergenic 543/331 169/894 All samples 1.39 0.2301 0.0004703 0.230 WGS, SNP array [30]
 rs79919241 15:92,891,403 CHASERR intron 543/331 169/894 All samples 1.45 0.08674 0.046 0.041 WGS, SNP array [30]
 rs201351606 17:1,179,646 ABR intron 543/331 169/894 All samples 0.23 0.01897 0.00004415 0.019 WGS, SNP array [30]
 rs117665140 17:60,203,564 USP32 intron 543/331 169/894 All samples 1.74 0.05327 0.00001471 0.053 WGS, SNP array [30]
 rs1890078 10:107,218,478 SORCS1 intergenic 331/190 169/97 APOEε4 carrier 0.43 0.0792 0.0689 0.010 WGS, SNP array [30]
 rs12594991 15:92,973,197 CHD2 intron 331/190 169/97 APOEε4 carrier 2.21 0.1496 0.5297 −0.380 WGS, SNP array [30]
 rs189753894 19:13,513,675 CACNA1A intron 976/815 621/435 APOEε4 non-carrier 1.787 0.3598 0.02503 0.335 SNP array [31]
 rs2280575 3:66,492,439 LRIG1 intron 976/815 621/435 APOEε4 non-carrier 0.544 0.05939 0.2958 −0.236 SNP array [31]

SNP single nucleotide polymorphism, CHR chromosome, POS genomic postion, MAF minor allele frequency, OR odds ratios calculated according to the minor allele

aEach SNP is a representative SNP identified from the East Asian cohort

bGenomic position was based on GRCh38

cThe nearest genes were based on GENCODE V39

dThe number of subjects shows QC-passed East Asian subjects used in each study

eOdds ratio indicates a value calculated in the final East Asian cohort, not including non-East Asian cohort(s)

fMAF was provided by gnomAD v3.1.2.

gMAF difference was calculated by subtracting MAF in East Asian from that in non-Finnish European