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Supplemental Figures Supplemental Fig. 1 Scree plots that display the first 10 principal components (PCs) using additive mode of inheritance model in the Stage I GWAS, for the ADGC (a), ROS-MAP (b), and ACT (c) cohorts. On the y axes are Eigenvalues. Based on these plots, we adjusted for four PCs in the ADGC and ROS-MAP analyses and three PCs in the ACT analysis. Supplemental Fig. 2 Preliminary GWAS was performed using AD pathology as endophenotype, from the ADGC cohort (see Supplemental Tables 2,3). Manhattan plot showing – log10(p)-values from the GWAS that comprised 1443 AD cases and 99 controls . The only SNP found to reach genome-wide statistical significance (p<5x10 -8 to correct for multiple comparisons) in this GWAS was near the APOE locus (orange arrow), which yielded p<10 -12 . This gives an idea of the statistical power, which requires a risk allele with a large effect size. Supplemental Fig. 3 LocusZoom plot showing results of HS- Aging GWAS meta-analyzed data from Discovery datasets; y axis shows –log10(p)-values describing the results of association study with HS-Aging phenotype centered on the rs7966849 (p<2x10 -7 ) risk allele. This SNPJ is in strong linkage disequilibrium with the SNPs (rs704178 and rs704180) that were the subject of further study. Supplemental Fig. 4 LocusZoom plot showing results of HS- Aging GWAS meta-analyzed data from Discovery datasets; y axis shows –log10(p)-values describing the results of association study with HS-Aging phenotype centered on the rs8018486 (p<2x10 -6 ) risk allele, within a CTAGE5 gene intron. This is the SNP with the lowest p-value in the GWAS outside the ABCC9 locus. Supplemental Fig. 5 Association studies were performed for each individual autopsy cohort, and then combined using meta-analyses across all six Discovery and Replication cohorts, using inverse-variance based statistic. Forest plots displaying cohort-specific and

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Page 1: Supplemental Figures

Supplemental Figures

Supplemental Fig. 1 Scree plots that display the first 10 principal components (PCs) using additive mode of inheritance model in the Stage I GWAS, for the ADGC (a), ROS-MAP (b), and ACT (c) cohorts. On the y axes are Eigenvalues. Based on these plots, we adjusted for four PCs in the ADGC and ROS-MAP analyses and three PCs in the ACT analysis.

Supplemental Fig. 2 Preliminary GWAS was performed using AD pathology as endophenotype, from the ADGC cohort (see Supplemental Tables 2,3). Manhattan plot showing –log10(p)-values from the GWAS that comprised 1443 AD cases and 99 controls . The only SNP found to reach genome-wide statistical significance (p<5x10-8 to correct for multiple comparisons) in this GWAS was near the APOE locus (orange arrow), which yielded p<10-12. This gives an idea of the statistical power, which requires a risk allele with a large effect size.

Supplemental Fig. 3 LocusZoom plot showing results of HS-Aging GWAS meta-analyzed data from Discovery datasets; y axis shows –log10(p)-values describing the results of association study with HS-Aging phenotype centered on the rs7966849 (p<2x10-7) risk allele. This SNPJ is in strong linkage disequilibrium with the SNPs (rs704178 and rs704180) that were the subject of further study.

Supplemental Fig. 4 LocusZoom plot showing results of HS-Aging GWAS meta-analyzed data from Discovery datasets; y axis shows –log10(p)-values describing the results of association study with HS-Aging phenotype centered on the rs8018486 (p<2x10-6) risk allele, within a CTAGE5 gene intron. This is the SNP with the lowest p-value in the GWAS outside the ABCC9 locus.

Supplemental Fig. 5 Association studies were performed for each individual autopsy cohort, and then combined using meta-analyses across all six Discovery and Replication cohorts, using inverse-variance based statistic. Forest plots displaying cohort-specific and aggregated odds ratios and confidence intervals were created reflecting these meta-analyzed results. Lines represent 95% confidence intervals for the odds ratios, and the size of the square (cohort) or trapezoid (meta-analyzed group) reflects the cohort size. Shown here are the results when assuming a dominant model of inheritance.

Supplemental Fig. 6 Western blots, see below

Page 2: Supplemental Figures

a

b

c

PT Nelson et al, Supplemental Figure 1

Eige

nval

ueEi

genv

alue

Eige

nval

ue

Page 3: Supplemental Figures

PT Nelson et al, Supplemental Figure 2-lo

g 10(p

-val

ue)

Page 4: Supplemental Figures

PT Nelson et al, Supplemental Figure 3

Stage I Cohorts GWAS

Page 5: Supplemental Figures

PT Nelson et al, Supplemental Figure 4

Stage I Cohorts GWAS

Page 6: Supplemental Figures

PT Nelson et al, Supplemental Figure 5

p-value

Forest plot with meta-analyses:Dominant model of mode of inheritance

Page 7: Supplemental Figures

Supplemental Fig. 6: Western blots

Gel lane 1 2 3 4 5 6 7 8 9Age at death 99 92 94 91 90 93 100 96 92

HS-Aging N Y Y Y N Y N N Yrs704178 CC GG GG GG CC GG CC CC GG

Braak stage III II 0 II II II IV IV II

Supplemental Fig. 6 Legend:

Hippocampus tissue from postmortem brain autopsies were dissected, weighed and homogenized in 5ml/g Low-salt (LS) buffer (10mM Tris, pH 7.5, 5mM EDTA, 1mM DTT, 10% Sucrose and a cocktail of protease and phosphatase inhibitors) and centrifuged at 20,000Xg for 30 minutes at 4°C. Supernatants were saved as the LS fraction. Pellets from the above sedimentation were subjected to two sequential extractions in 5ml/g Triton-X-100 (TX) buffer (LS+ 1% Triton-X-100+0.5M NaCl) and centrifugation at 20,000Xg for 30 minutes at 4°C. Supernatants from the first of these TX buffer extractions were saved as TX fraction. Pellets were homogenized in 5ml/g Sarkosyl (SARK) buffer (LS+ 1%N-Lauryl-Sarcosine+0.5M NaCl) and incubated at 22°C on a shaker for 1hr before sedimentation at 20,000Xg for 30 minutes at 22°C. Supernatants were saved as the SARK fraction. Remaining pellets were extracted in 1ml/g Urea buffer (7M Urea, 2M Thiourea, 4% CHAPS, 30mM Tris, pH – 8.5) before centrifugation at 25,000Xg for 30 minutes at 22°C. Immunoblot analysis. Equal amounts of protein were loaded to denaturing SDS Polyacrylamide gel prior to immunoblot analysis, for LS and TX fractions. The gels, after run, were washed for 10 minutes in Deionized water before transfer. After transfer onto a nitrocellulose membrane, the nonspecific epitopes were blocked with 5% Nonfat milk, for 1hr at room temp. The antibodies used are as follows: SUR2B (C-15; Fig. S6a,b): sc-5793, SUR2A (T-19; Fig. S6c,d): sc-32461, SUR2 (H-80; Fig. S6, e,f): sc-25684, all three from Santacruz Biotechnology, Inc, and anti-SUR2B, clone N323A/31 (Fig. S6 g,h) and anti-SUR2A, clone N319A/14 (Fig. S6 i,j) from EMD-Millipore. Control immunoblots using the same samples were performed using anti-PGRN/GRN (R&D Cat # AF 2420; Fig. S6 k,l), and anti-b-Actin (Rockland Code 600-401-886; Fig. S6 m,n) antibodies. The dilutions used were according to the manufacturers’ instruction. The secondary antibodies were all Alkaline Phosphatase conjugated, from Jackson Immunoresearch. The bands were visualized with the Enhanced Chemi-Luminescence kit from Thermo® .

Table of cases used in immunoblots, in order, with age, HS status, rs704178 status, Braak stage

Page 8: Supplemental Figures

Immunoblot against Low Salt fractions with anti SUR2B (C-15) antibody

Case # 1 2 3 4 5 6 7 8 9230150100806050

40

302520

Immunoblot against Triton-X-100 fractions with anti SUR2B (C-15) antibody

Case # 1 2 3 4 5 6 7 8 9230150100806050

40

302520

Supplemental Fig. 6a

Page 9: Supplemental Figures

Immunoblot against Sarkosyl fractions with anti SUR2B (C-15) antibody

Case # 1 2 3 4 5 6 7 8 9230150100806050

40

302520

Immunoblot against Urea fractions with anti SUR2B (C-15) antibody

Case # 1 2 3 4 5 6 7 8 923015010080

6050

40

302520

Supplemental Fig. 6b

Page 10: Supplemental Figures

Immunoblot against Low Salt fractions with anti SUR2A (T-19) antibody

Case # 1 2 3 4 5 6 7 8 92301501008060

50

4030

2520

Immunoblot against Triton-X-100 fractions with anti SUR2A (T-19) antibody

Case # 1 2 3 4 5 6 7 8 92301501008060

50

4030

2520

Supplemental Fig. 6c

Page 11: Supplemental Figures

Immunoblot against Sarkosyl fractions with anti SUR2A (T-19) antibody

Case # 1 2 3 4 5 6 7 8 923015010080

6050

40

302520

Immunoblot against Urea fractions with anti SUR2A (T-19) antibody

Case # 1 2 3 4 5 6 7 8 923015010080605040

302520

Supplemental Fig. 6d

Page 12: Supplemental Figures

Immunoblot against Low Salt fractions with anti SUR2 (H-80) antibody

Case # 1 2 3 4 5 6 7 8 923010080605040

30

252015

Immunoblot against Triton-X-100 fractions with anti SUR2 (H-80) antibody

Case # 1 2 3 4 5 6 7 8 923015010080

60

50

40

30

Supplemental Fig. 6e

Page 13: Supplemental Figures

Immunoblot against Sarkosyl fractions with anti SUR2 (H-80) antibody

Case # 1 2 3 4 5 6 7 8 9230150100806050

40

3025

Immunoblot against Urea fractions with anti SUR2 (H-80) antibody

Case # 1 2 3 4 5 6 7 8 9230150100806050

40

302520

Supplemental Fig. 6f

Page 14: Supplemental Figures

Immunoblot against Low Salt fractions with anti SUR2B antibody

Case # 1 2 3 4 5 6 7 8 92301008050403025

20

15

10

Immunoblot against Triton-X-100 fractions with anti SUR2B antibody

Case # 1 2 3 4 5 6 7 8 923010080

50403025

20

1510

clone N323A/31

Supplemental Fig. 6g

Page 15: Supplemental Figures

Immunoblot against Sarkosyl fractions with anti SUR2B antibody

Case # 1 2 3 4 5 6 7 8 92301008050403025

20

15

10

Immunoblot against Urea fractions with anti SUR2B antibody

Case # 1 2 3 4 5 6 7 8 92301008050403025

20

15

10

clone N323A/31

Supplemental Fig. 6h

Page 16: Supplemental Figures

Immunoblot against Low Salt fractions with anti SUR2A antibody

230100805040

3025

20

15

10

Case # 1 2 3 4 5 6 7 8 9

Immunoblot against Triton-X-100 fractions with anti SUR2A antibody

Case # 1 2 3 4 5 6 7 8 9230100805040

3025

20

15

10

clone N319A/14

Supplemental Fig. 6i

Page 17: Supplemental Figures

Immunoblot against Sarkosyl fractions with anti SUR2A antibody

Case # 1 2 3 4 5 6 7 8 9230100805040

3025

20

15

10

Immunoblot against Urea fractions with anti SUR2A antibody

Case # 1 2 3 4 5 6 7 8 92301008050403025

20

15

10

clone N319A/14

Supplemental Fig. 6j

Page 18: Supplemental Figures

Immunoblot against Low Salt fractions with anti GRN antibody

Case # 1 2 3 4 5 6 7 8 923015010080

60

50

40

302520

Immunoblot against Triton-X-100 fractions with anti GRN antibody

Case # 1 2 3 4 5 6 7 8 92301501008060

50

40

3025

Supplemental Fig. 6k

Page 19: Supplemental Figures

Immunoblot against Sarkosyl fractions with anti GRN antibody

Case # 1 2 3 4 5 6 7 8 923015010080

60

50

40

3025

Immunoblot against Urea fractions with anti GRN antibody

Case # 1 2 3 4 5 6 7 8 923015010080

60

50

40

3025

Supplemental Fig. 6l

Page 20: Supplemental Figures

Immunoblot against Low Salt fractions with anti Beta actin antibody

Case # 1 2 3 4 5 6 7 8 923015010080

60

50

40

30

25

Immunoblot against Triton-X-100 fractions with anti Beta actin antibody

Case # 1 2 3 4 5 6 7 8 92301008060504030252015

Supplemental Fig. 6m

Page 21: Supplemental Figures

Immunoblot against Sarcosyl fractions with anti Beta actin antibody

Case # 1 2 3 4 5 6 7 8 92301008060504030252015

Immunoblot against Urea fractions with anti Beta actin antibody

Case # 1 2 3 4 5 6 7 8 923015010080

60

50

40

3025

Supplemental Fig. 6n