Epidemiological and Genetic Studies of Body Mass Index

体重指数的流行病学和遗传学研究

• 批准号: 7176190
• 负责人: RICHARD H MYERS
• 金额: $ 67.06万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-12-05 至 2009-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7176190
• 关键词: 7q22; 7q31; 7q31.3; 7q32.3; 7q36; Accounting; Actins; Adipocytes; Adipose tissue; American; Animals; Binding Proteins; Biopsy; Blood Pressure; Body mass index; Brain; Candidate Disease Gene; Cardiovascular Diseases; Cell Line; Cerebellum; Collaborations; Data; Development; Diabetes Mellitus; Diet; Diet Habits; Disease; Epidemic; Family; Family Study; Fatty acid glycerol esters; Follow-Up Studies; Framingham Heart Study; Gene Expression; General Population; Genes; Genetic; Genetic Polymorphism; Genome Scan; Genotype; Haplotypes; Heart; Histocompatibility Testing; Human Genome; Hypertension; Hypothalamic structure; Individual; Investigation; Label; Leptin; Letters; Life Style; Link; Maps; Methods; Morbidity - disease rate; Muscle; Myosin ATPase; Names; Obesity; Operative Surgical Procedures; Overweight; Participant; Personal Satisfaction; Persons; Phase; Population; Positioning Attribute; Pre-study; Predisposition; Prevalence; Price; Protein Isoforms; Proteins; Province; Purpose; Reporting; Research Ethics Committees; Research Personnel; Residual state; Role; SNP genotyping; Sampling; Sampling Studies; Scanning; Sequence Analysis; Serum; Signal Transduction; Single Nucleotide Polymorphism Map; Specimen; Statistical Methods; Testis; Time; Tissue Sample; Tissues; Universities; Washington; Weight Gain; Woman; Work; analytical method; caldesmon; density; gene discovery; genetic analysis; high throughput analysis; human study; lymphoblast; men; mortality; prevent; programs; success; trait; trend; 7q22; 7q31; 7q31.3; 7q32.3; 7q36; Accounting; Actins; Adipocytes; Adipose tissue; American; Animals; Binding Proteins; Biopsy; Blood Pressure; Body mass index; Brain; Candidate Disease Gene; Cardiovascular Diseases; Cell Line; Cerebellum; Collaborations; Data; Development; Diabetes Mellitus; Diet; Diet Habits; Disease; Epidemic; Family; Family Study; Fatty acid glycerol esters; Follow-Up Studies; Framingham Heart Study; Gene Expression; General Population; Genes; Genetic; Genetic Polymorphism; Genome Scan; Genotype; Haplotypes; Heart; Histocompatibility Testing; Human Genome; Hypertension; Hypothalamic structure; Individual; Investigation; Label; Leptin; Letters; Life Style; Link; Maps; Methods; Morbidity - disease rate; Muscle; Myosin ATPase; Names; Obesity; Operative Surgical Procedures; Overweight; Participant; Personal Satisfaction; Persons; Phase; Population; Positioning Attribute; Pre-study; Predisposition; Prevalence; Price; Protein Isoforms; Proteins; Province; Purpose; Reporting; Research Ethics Committees; Research Personnel; Residual state; Role; SNP genotyping; Sampling; Sampling Studies; Scanning; Sequence Analysis; Serum; Signal Transduction; Single Nucleotide Polymorphism Map; Specimen; Statistical Methods; Testis; Time; Tissue Sample; Tissues; Universities; Washington; Weight Gain; Woman; Work; analytical method; caldesmon; density; gene discovery; genetic analysis; high throughput analysis; human study; lymphoblast; men; mortality; prevent; programs; success; trait; trend

DESCRIPTION (provided by applicant): Increased levels of Body Mass Index (BMI) are associated with increased mortality and morbidity from cardiovascular disease, hypertension, diabetes and other disorders. The recent dramatic increase in obesity in the American population has reached epidemic proportions, with two-thirds of the general population meeting criteria for "over-weight" and one-third meeting criteria for "obese". While the increase in the prevalence of obesity reflects changing lifestyle and dietary habits, genetic factors are shown to influence the susceptibility for obesity. Animal and human studies reveal that a high-calorie/high fat-diet produces substantial differences in weight gain on different genetic backgrounds. Understanding the genes that influence susceptibility to obesity will permit investigation into treatment to prevent or reduce weight gain and reverse the population trend for increasing obesity. The NHLBI Family Heart Study (FHS) found compelling linkage for BMI (LOD = 4.9) on chromosome 7q31-q34. This region has been implicated in at least sixteen other genome scans for obesity and related traits, and may be the most widely replicated locus in obesity genetics. We believe the FHS sample to be the largest study of the region and to provide the best opportunity to identify the implicated genes. This group of investigators has worked extensively with the FHS, the Framingham Study, and the Family Blood Pressure Program Project, and has performed genome scans in these large study samples. The 4.9 LOD for BMI to chromosome 7q31-q34 is the largest reported for any trait in these studies. Yet genome scans have little value if they are not followed by gene discovery. We suggest that this application offers a unique opportunity to fulfill the purpose of those scans. Over the past 2 years and 2 months we have genotyped 421 SNPs in the 7q31-q34 region, and SNP linkage in our focus sample generates a LOD = 16 for BMI. We will show compelling evidence for a haplotype in the 5' region of the Leptin gene (p<0.00005) influencing BMI among men in our sample. We will further demonstrate that the responsible gene in this region is not Leptin. SNP and haplotype association studies implicate three strong candidate loci and other loci also warrant additional study. We propose to confirm SNP association in an independent study of 200 families showing linkage to the same position (from Dr. R. Arlen Price's group). Those loci with confirmed association will be further characterized by sequencing, genotyping new polymorphisms, and gene expression studies to identify the responsible genes. The proposed studies offer a unique opportunity to discover important BMI related genes at 7q31.

描述（由申请人提供）：体重指数（BMI）的水平增加与心血管疾病，高血压，糖尿病和其他疾病的死亡率和发病率的增加有关。美国人口肥胖的最近急剧增加已经达到了流行病的比例，其中三分之二的一般人口符合“肥胖”的“超重”和三分之一的会议标准。肥胖症患病率的增加反映了生活方式和饮食习惯的改变，但遗传因素被证明会影响肥胖的易感性。动物和人类研究表明，高热量/高脂肪含量在不同的遗传背景上产生重量的实质性差异。了解影响肥胖症易感性的基因将允许对治疗进行调查，以防止或减轻体​​重增加并扭转增加肥胖症的种群趋势。 NHLBI家庭心脏研究（FHS）在7q31-Q34染色体上发现了BMI的引人注目的联系（LOD = 4.9）。 该区域与至少16个基因组扫描有关肥胖和相关特征，可能是肥胖遗传学中重复最广泛的基因座。我们认为，FHS样本是该地区最大的研究，并提供了识别涉及基因的最佳机会。这组研究人员已与FHS，Framingham研究和家庭血压计划项目进行了广泛的合作，并在这些大型研究样本中进行了基因组扫描。 BMI至7q31-Q34染色体的4.9 LOD是这些研究中任何特征报告的最大的LOD。然而，如果基因组扫描未得到基因发现，则几乎没有价值。我们建议该应用程序提供了实现这些扫描目的的独特机会。 在过去的2年零2个月中，我们在7q31-Q34区域中基因分型421个SNP，而我们的焦点样本中的SNP链接对于BMI产生了LOD = 16。我们将在样本中男性中影响BMI的5'区域（p <0.00005）中显示出令人信服的证据。我们将进一步证明该区域的负责基因不是瘦素。 SNP和单倍型协会的研究暗示了三个强大的候选基因座和其他基因座也需要额外的研究。我们建议在对200个家庭的独立研究中确认SNP协会（R. Arlen Price博士的小组）。那些具有确认关联的基因座将进一步以测序，基因分型，新的多态性和基因表达研究来识别负责的基因。拟议的研究为在7q31发现重要的BMI基因提供了独特的机会。