인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Tuberculosis (TB) remains a serious global public health threat. Accumulated evidence has demonstrated that human susceptibility to TB has a strong genetic basis. And different susceptibility single nucleotide polymorphisms (SNP) have been reported in different studies. To gain greater insight into the host susceptibility to TB, we perform a two-stage genome-wide association study to identify the susceptible loci of TB. In the discovery stage, 3116 (1532 TB patients and 1584 healthy controls) and 439 (211 TB patients and 228 healthy controls) individuals were genome-wide genotyped from a western Chinese Han and Tibetan population, respectively. Based on the additive genetic model, we discovered 14 and three independent loci that had potential associations with TB susceptibility in the Chinese Han and Tibetan populations, respectively (<i>p</i> < 1 × 10<sup>-5</sup>). Furthermore, we conducted an imputation-based meta-analysis on another two East Asia cohorts to replicate our findings. We identified one independent locus harbored by the human leukocyte antigen (<i>HLA</i>) class II genes that was genome-wide significantly associated with TB (lead SNP rs111875628 with a <i>p-</i>value of 2.20 × 10<sup>-9</sup>). Our findings suggest a novel mechanism of the interaction with the <i>HLA</i> class II genes and reinforce the importance of the <i>HLA</i> class II alleles in response to TB.
#Single-nucleotide polymorphism
#Human leukocyte antigen
#Genome-wide association study
#Biology
#Genetic association
#Genetics
#SNP
#Tuberculosis
#Imputation (statistics)
#Allele
#Locus (genetics)
#Population
#Han chinese
#Mycobacterium tuberculosis
#Gene
#Genotype
#Medicine
#Antigen
#Environmental health
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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