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: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. 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:

A missense variant, rs373863828-A (p.Arg457Gln), of CREBRF and body mass index in Oceanic populations It has been suggested that a 'thrifty' genotype hypothesis can account for high prevalence of obesity in the island populations of Oceania. A recent genome-wide association study revealed that a missense variant, rs373863828-A (p.Arg457Gln), of the CREBRF gene (encoding CREB3 regulatory factor) was associated with an excessive increase in body mass index (BMI) in Samoans. In the present study, the association of rs373863828-A with an increase in BMI was examined in four Austronesian (AN)- speaking populations in Oceania. We found that rs373863828-A was frequently observed (frequency of 0.15) in Tongans (Polynesians), and was strongly associated with higher BMI (P=6.1 × 10(-4)). A single copy of the rs373863828-A allele increased BMI by 3.09 kg m(-2) after adjustment of age and sex. No significant association was detected in the other three AN - speaking populations (Melanesians and Micronesians) living in Solomon Islands. This was probably due to the low allele frequency (0.02-0.06) of rs373863828-A as well as small sample size. The rs373863828-A allele was not found in both AN - speaking and non- AN - speaking Melanesians living in Papua New Guinea. Our results suggest that rs373863828-A of CREBRF, a promising thrifty variant, arose in recent ancestors of AN - speaking Polynesians .Journal of Human Genetics advance online publication, 13 April 2017; doi:10.1038/jhg.2017.44.
{"AnatomicalStructure": ["rs373863828-A (p.Arg457Gln), of the CREBRF gene", "rs373863828-A", "allele", "rs373863828-A (p.Arg457Gln), of CREBRF", "rs373863828-A of CREBRF"], "Bacterium": [], "BiologicFunction": ["obesity", "missense"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["CREB3 regulatory factor"], "ClinicalAttribute": ["body mass index", "BMI"], "Eukaryote": [], "Finding": ["No significant", "examined"], "Food": [], "HealthCareActivity": ["detected"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["Melanesians", "populations", "Polynesians", "Samoans", "Tongans", "Micronesians"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["genome-wide association study"], "SpatialConcept": ["Oceania", "Solomon Islands", "Papua New Guinea", "island"], "Virus": []}