gnomad_ld_variant_indices_eas

• Versions: 2.1.1

• Reference genome builds: GRCh37

• Type: hail.Table

Schema (2.1.1, GRCh37)

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Global fields:
    'rf': struct {
        variants_by_type: dict<str, int32>,
        feature_medians: dict<str, struct {
            variant_type: str,
            n_alt_alleles: int32,
            qd: float64,
            pab_max: float64,
            info_MQRankSum: float64,
            info_SOR: float64,
            info_InbreedingCoeff: float64,
            info_ReadPosRankSum: float64,
            info_FS: float64,
            info_QD: float64,
            info_MQ: float64,
            info_DP: int32
        }>,
        test_intervals: array<interval<locus<GRCh37>>>,
        test_results: array<struct {
            rf_prediction: str,
            rf_label: str,
            n: int32
        }>,
        features_importance: dict<str, float64>,
        features: array<str>,
        vqsr_training: bool,
        no_transmitted_singletons: bool,
        adj: bool,
        rf_hash: str,
        rf_snv_cutoff: struct {
            bin: int32,
            min_score: float64
        },
        rf_indel_cutoff: struct {
            bin: int32,
            min_score: float64
        }
    }
    'freq_meta': array<dict<str, str>>
    'freq_index_dict': dict<str, int32>
    'popmax_index_dict': dict<str, int32>
    'age_index_dict': dict<str, int32>
    'faf_index_dict': dict<str, int32>
    'age_distribution': array<int32>
----------------------------------------
Row fields:
    'locus': locus<GRCh37>
    'alleles': array<str>
    'pop_freq': struct {
        AC: int32,
        AF: float64,
        AN: int32,
        homozygote_count: int32
    }
    'idx': int64
----------------------------------------
Key: ['locus', 'alleles']
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