TABLE 2.

Obesity susceptibility loci identified (p < 5.0E−8) in cohorts of Asian ancestry.

SNP	Candidate gene(s)a	Chr.b	Allelec ALT/REFd	RAFe, f	Beta-estimatesc (SE)e	p-value	References	Explained variance (%)f
rs2237892	KCNQ1	11	T/C	0.355	0.0298 (0.0042)	9.29E−13	Wen et al. (2014)	0.041
rs671	ALDH2	12	A/G	0.267	−0.0378 (0.0057)	3.40E−13	Wen et al. (2014)	0.056
rs12229654	MYL2	12	G/T	0.224	−0.0341 (0.0058)	4.56E−09	Wen et al. (2014)	0.040
rs2076463	FGR,IFI6	1	G/A	0.343	−0.023 (0.004)	1.68E−08	Akiyama et al. (2017)	0.024
rs77489951	LOC101929596,HNRNPLL	2	T/C	0.06	0.044 (0.008)	9.39E−09	Akiyama et al. (2017)	0.022
rs8192473	CCK	3	T/C	0.109	−0.035 (0.006)	3.58E−09	Akiyama et al. (2017)	0.024
rs4308481	PRDM6,CEP120	5	C/T	0.398	0.021 (0.008)	1.00E−18	Akiyama et al. (2017)	0.021
rs183975233	HLA-DRA,HLA-DRB5	6	T/A	0.689	−0.031 (0.004)	7.51E−16	Akiyama et al. (2017)	0.041
rs148546399	EYS	6	A/G	0.01	0.050 (0.008)	1.13E−09	Akiyama et al. (2017)	0.005
rs143665886	LINC01392,TFEC	7	C/T	0.4	0.022 (0.004)	9.46E−09	Akiyama et al. (2017)	0.023
rs10868215	SLC28A3,NTRK2	9	C/T	0.299	−0.021 (0.004)	1.34E−08	Akiyama et al. (2017)	0.018
rs10795945	CDC123,CAMK1D	10	C/T	0.461	0.021 (0.003)	1.10E−09	Akiyama et al. (2017)	0.022
rs80117551	HERC4	10	C/T	0.679	−0.022 (0.004)	1.57E−08	Akiyama et al. (2017)	0.021
rs12569457	FRAT2,RRP12	10	T/C	0.122	0.025 (0.004)	6.67E−09	Akiyama et al. (2017)	0.013
rs1907240	MIR5694,FGFR2	10	G/A	0.393	−0.024 (0.004)	3.47E−11	Akiyama et al. (2017)	0.027
rs80234489	FAM60A	12	A/C	0.812	−0.031 (0.005)	1.05E−11	Akiyama et al. (2017)	0.029
rs75766425	NID2	14	C/G	0.105	0.034 (0.005)	1.28E−10	Akiyama et al. (2017)	0.022
rs4788694	ZFHX3	16	C/G	0.179	−0.021 (0.004)	2.54E−08	Akiyama et al. (2017)	0.013
rs180950758	SUZ12P1	17	T/A	0.11	0.027 (0.005)	2.63E−08	Akiyama et al. (2017)	0.014
rs1379871	DMD	X	C/G	0.68	0.018 (0.003)	1.05E−08	Akiyama et al. (2017)	0.014
rs6529684	HSD17B10,HUWE1	X	G/A	0.54	0.016 (0.003)	2.78E−08	Akiyama et al. (2017)	0.013
rs3121672	IL13RA1	X	C/T	0.43	0.024 (0.003)	2.90E−17	Akiyama et al. (2017)	0.028
rs1190736	GPR101	X	C/A	0.65	−0.017 (0.003)	1.31E−08	Akiyama et al. (2017)	0.013
rs5945324	FAM58A,DUSP9	X	C/G	0.4	0.022 (0.003)	1.33E−11	Akiyama et al. (2017)	0.023
rs2206271	TFAP2B	6	A/T	0.365	0.031 (0.008)	3.00E−18	Akiyama et al. (2017)	0.045
rs2495707	HIF1AN,PAX2	10	A/G	0.549	0.025 (0.008)	1.00E−09	Akiyama et al. (2017)	0.031
rs60808706	KCNQ1	11	A/G	0.369	0.046 (0.004)	1.24E−38	Akiyama et al. (2017)	0.099
rs3205718	FAIM2	12	T/C	0.231	0.023 (0.008)	4.62E−10	Akiyama et al. (2017)	0.019
rs7305242	ALDH2,MAPKAPK5-AS1	12	C/T	0.576	−0.021 (0.004)	2.21E−08	Akiyama et al. (2017)	0.022
rs2540034	ADCY9	16	T/C	0.312	0.028 (0.004)	2.97E−12	Akiyama et al. (2017)	0.034
rs35560038	GIPR,QPCTL	21	A/T	0.532	0.054 (0.008)	3.00E−52	Akiyama et al. (2017)	0.145

^aPredicted gene reported in reference studies. ^bChromosomes based on NCBI Build154 (GRCh38). ^cAlternative alleles were treated as effective allele. ^dThe allele frequency based on genome Aggregation Database (gnomAD). ^e“Standard error” according to reference studies reported. ^f“Explained variance” is the variance explained by each reported variant using the formula which uses the allele frequency (f) estimated in GWAS and estimates of the additive effect (β) in meta-analysis: explained variance β²(1−f)2f (Akiyama et al., 2017). To estimate the additive explained variance of 31 newly identified BMI loci in Asian population, the explained variance of each individual variant were summed up and resulted in a total of 0.926%.