Faculty:
Prof. Mayana Zatz, PhD; Prof. Michel S. Naslavsky, PhD and Prof. Maria Rita Passos-Bueno, PhD
Cohort provided by:
Prof. Maria Lucia Lebrão, MD/PhD (in memoriam) and Prof. Yeda A. O Duarte, PhD
ABraOM leaders:
Michel S. Naslavsky, PhD; Guilherme Lopes Yamamoto, MD, PhD and Marilia O. Scliar, PhD
Technical and scientific support:
Jaqueline Yu Ting Wang, MSc; Diego Lima de Carvalho, BSc; Daniel Bozoklian, BSc; Carlos Eduardo Simões, BSc; Ricardo Hideki Nonaka, MSc.
By using this resource you agree to cite the flagship paper published by Nature Communications.
"Whole-genome sequencing of 1,171 elderly admixed individuals from São Paulo, Brazil"
by Naslavsky, Scliar, Yamamoto, et al., 2022:
https://www.nature.com/articles/s41467-022-28648-3
"Exomic variants of an elderly cohort of Brazilians in the ABraOM database"
by Naslavsky, Yamamoto et al. is published in Human Mutation:
http://onlinelibrary.wiley.com/doi/10.1002/humu.23220/full
Searching genes is a region-based search that uses the genomic positions from RefSeq Genes and retrieves all variants within the range.
Predicted consequence returns all RefSeq transcript changes caused by the variant's alternate allele.
rsID search utilizes dbSNP147 and dbSNP150 for WES and WGS datasets respectively.
A longitudinal study (one wave every five years) with cross-sectional features. In every time-point a new cohort is added in with the same sampling methodology.
Samples in black represent the number of individuals enrolled in each collection and each wave. Numbers in red are individuals collected in 2010 that performed WGS and were revisited in the next wave. Numbers in blue represent individuals that performed WES.
Variants from whole-genome sequencing of 1,171 unrelated participants [SABE-1171-WGS] are now available in hg38 reference in ABraOM, along with the previously 609 participants with whole-exome sequencing in hg19 [SABE-609-WES].
Flagging algorithm with criteria based on depth of coverage (≥10 reads) and allele balance [between 0.3 and 0.7 (heterozygous), below 0.1 (reference homozygous) and above 0.9 (alternate homozygous) proportion of reference allele over the sum of reference and alternate]. Two cutoffs were used: the proportion of alternate genotypes that don’t fit criteria among all alternate genotypes and the total number of genotypes that fit criteria. 100% proportion: FDP (>50% of called genotypes haven’t met minimum depth) or FAB (≤50% were flagged as low DP, therefore most genotypes were off allele balance thresholds); ≥50%: WK (≥500 genotypes) or WK-LowCall (<500 genotypes); from 10-50%: SR (≥500 genotypes) or SR-LowCall (<500 genotypes); ≤ 10% vSR (≥500 genotypes) or vSR-LowCall (<500 genotypes). Variants with vSR, SR, WK, vSR-LowCall, SR-LowCall and WK-LowCall flags are probably true, with varying levels of confidence. Threshold for genotype counts that fit criteria in [SABE-609-WES] was set in 250. Variants with FDP or FAB are probably false (although called, no variants met criteria). FAB is checked only after FDP was applied. Multiallelic variants were split, but genotypes other than 0/0, 0/1 and 1/1 were not included in this preliminary analysis.
High confidence variants:
WGS: GATK-Filter = PASS & CEGH-Filter ≠ FDP or FAB or LowCall
WES: GATK-Filter = PASS & CEGH-Filter ≠ FDP or FAB
Databases of comparison:
WGS: dbSNP150, gnomAD v2.2 and 1000g
WES: dbSNP147, ExAC, ESP6500 and 1000g
Mean depth of coverage: 38.64X
Depth of coverage of 1,171 WGS samples from SABE.
A. Distribution of average depth of coverage per individual (minimum average = 31.3X, maximum average = 64.8X, median of averages = 36.64X).
B. Histograms of horizontal coverage per vertical coverage thresholds. All 1,171 individual samples have 60% of bases with >30X depth of coverage and 91% of bases with >10X. 1,098 individuals (93.7% of the sample) reach 70% of bases with >30X.
Depth of coverage was calculated with GATK-DepthOfCoverage mapping quality threshold of 10 or greater.
Mean depth of coverage including off target regions: 35,01X
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