You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Disease"].

Please return the output as a JSON object of the format: {"Disease" : ["COVID-19", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Genetic bases of human complement C7 deficiency. Complement C7 deficiency (C7D) is associated frequently with recurrent bacterial infections, especially meningitis caused by Neisseria meningitidis. We report in this work the molecular bases of C7D in two unrelated Japanese males. We used exon-specific PCR/single-strand conformation polymorphism analysis as a screening step for mutations. Subsequent direct sequencing of the target exons identified homozygous mutations in exon 16 of case 1 and in exon 15 of case 2. The mutation of case 1 was a homozygous T to A transversion at nucleotide 2250, the third nucleotide of the codon TGT for Cys728, leading to a stop codon TGA (C728X). In case 2, a homozygous 2-bp deletion (2137delTG/2138delGT/2139delTG) caused a frameshift, generating a premature termination codon 4 to 6 nucleotides downstream. Family study in case 1 confirmed the genetic nature of the defect. Moreover, we detected a novel polymorphism in intron 11 that presumably is linked to the mutation responsible for C7D in case 1. Our results indicate that the pathogenesis of C7D is heterogeneous like most of the other deficiencies of complement components..
{"Disease": ["Neisseria meningitidis", "Complement C7 deficiency", "complement C7 deficiency", "meningitis", "deficiencies of complement components", "C7D", "bacterial infections"]}