Molecular basis of a linkage peak: exome sequencing and family-based analysis identify a rare genetic variant in the ADIPOQ gene in the IRAS Family Study
- PMID: 20688759
- PMCID: PMC2947405
- DOI: 10.1093/hmg/ddq327
Molecular basis of a linkage peak: exome sequencing and family-based analysis identify a rare genetic variant in the ADIPOQ gene in the IRAS Family Study
Abstract
Family-based linkage analysis has been a powerful tool for identification of genes contributing to traits with monogenic patterns of inheritance. These approaches have been of limited utility in identification of genes underlying complex traits. In contrast, searches for common genetic variants associated with complex traits have been highly successful. It is now widely recognized that common variations frequently explain only part of the inter-individual variation in populations. 'Rare' genetic variants have been hypothesized to contribute significantly to phenotypic variation in the population. We have developed a combination of family-based linkage, whole-exome sequencing, direct sequencing and association methods to efficiently identify rare variants of large effect. Key to the successful application of the method was the recognition that only a few families in a sample contribute significantly to a linkage signal. Thus, a search for mutations can be targeted to a small number of families in a chromosome interval restricted to the linkage peak. This approach has been used to identify a rare (1.1%) G45R mutation in the gene encoding adiponectin, ADIPOQ. This variant explains a strong linkage signal (LOD > 8.0) and accounts for ∼17% of the variance in plasma adiponectin levels in a sample of 1240 Hispanic Americans and 63% of the variance in families carrying the mutation. Individuals carrying the G45R mutation have mean adiponectin levels that are 19% of non-carriers. We propose that rare variants may be a common explanation for linkage peaks observed in complex trait genetics. This approach is applicable to a wide range of family studies and has potential to be a discovery tool for identification of novel genes influencing complex traits.
Figures


Similar articles
-
Genome-wide family-based linkage analysis of exome chip variants and cardiometabolic risk.Genet Epidemiol. 2014 May;38(4):345-52. doi: 10.1002/gepi.21801. Epub 2014 Apr 9. Genet Epidemiol. 2014. PMID: 24719370 Free PMC article.
-
Empirical characteristics of family-based linkage to a complex trait: the ADIPOQ region and adiponectin levels.Hum Genet. 2015 Feb;134(2):203-13. doi: 10.1007/s00439-014-1511-8. Epub 2014 Dec 2. Hum Genet. 2015. PMID: 25447270 Free PMC article. Clinical Trial.
-
Genome-wide linkage of plasma adiponectin reveals a major locus on chromosome 3q distinct from the adiponectin structural gene: the IRAS family study.Diabetes. 2006 Jun;55(6):1723-30. doi: 10.2337/db05-0428. Diabetes. 2006. PMID: 16731835
-
Linkage analysis in the next-generation sequencing era.Hum Hered. 2011;72(4):228-36. doi: 10.1159/000334381. Epub 2011 Dec 23. Hum Hered. 2011. PMID: 22189465 Free PMC article. Review.
-
Family studies to find rare high risk variants in migraine.J Headache Pain. 2017 Dec;18(1):32. doi: 10.1186/s10194-017-0729-y. Epub 2017 Mar 2. J Headache Pain. 2017. PMID: 28255817 Free PMC article. Review.
Cited by
-
New approaches for the discovery of lipid‑related genes.Clin Lipidol. 2011;6(5):495-500. Epub 2017 Jan 18. Clin Lipidol. 2011. PMID: 32983264 Free PMC article.
-
Resequencing and analysis of variation in the TCF7L2 gene in African Americans suggests that SNP rs7903146 is the causal diabetes susceptibility variant.Diabetes. 2011 Feb;60(2):662-8. doi: 10.2337/db10-0134. Epub 2010 Oct 27. Diabetes. 2011. PMID: 20980453 Free PMC article.
-
Genome-wide family-based linkage analysis of exome chip variants and cardiometabolic risk.Genet Epidemiol. 2014 May;38(4):345-52. doi: 10.1002/gepi.21801. Epub 2014 Apr 9. Genet Epidemiol. 2014. PMID: 24719370 Free PMC article.
-
Rare Variants in NOD1 Associated with Carotid Bifurcation Intima-Media Thickness in Dominican Republic Families.PLoS One. 2016 Dec 9;11(12):e0167202. doi: 10.1371/journal.pone.0167202. eCollection 2016. PLoS One. 2016. PMID: 27936005 Free PMC article.
-
Population-specific coding variant underlies genome-wide association with adiponectin level.Hum Mol Genet. 2012 Jan 15;21(2):463-71. doi: 10.1093/hmg/ddr480. Epub 2011 Oct 18. Hum Mol Genet. 2012. PMID: 22010046 Free PMC article.
References
-
- Manolio T.A., Collins F.S., Cox N.J., Goldstein D.B., Hindorff L.A., Hunter D.J., McCarthy M.I., Ramos E.M., Cardon L.R., Chakravarti A., et al. Finding the missing heritability of complex diseases. Nature. 2009;461:747–753. doi:10.1038/nature08494. - DOI - PMC - PubMed
-
- Henkin L., Bergman R.N., Bowden D.W., Ellsworth D.L., Haffner S.M., Langefeld C.D., Mitchell B.D., Norris J.M., Rewers M., Saad M.F., et al. Genetic epidemiology of insulin resistance and visceral adiposity. The IRAS Family Study design and methods. Ann. Epidemiol. 2003;13:211–217. doi:10.1016/S1047-2797(02)00412-X. - DOI - PubMed
-
- Guo X., Saad M.F., Langefeld C.D., Williams A.H., Cui J., Taylor K.D., Norris J.M., Jinagouda S., Darwin C.H., Mitchell B.D., et al. Genome-wide linkage of plasma adiponectin reveals a major locus on chromosome 3q distinct from the adiponectin structural gene: the IRAS family study. Diabetes. 2006;55:1723–1730. doi:10.2337/db05-0428. - DOI - PubMed
-
- Rich S.S., Bowden D.W., Haffner S.M., Norris J.M., Saad M.F., Mitchell B.D., Rotter J.I., Langefeld C.D., Hedrick C.C., Wagenknecht L.E., et al. A genome scan for fasting insulin and fasting glucose identifies a quantitative trait locus on chromosome 17p: the insulin resistance atherosclerosis study (IRAS) family study. Diabetes. 2005;54:290–295. doi:10.2337/diabetes.54.1.290. - DOI - PubMed
-
- Rich S.S., Bowden D.W., Haffner S.M., Norris J.M., Saad M.F., Mitchell B.D., Rotter J.I., Langefeld C.D., Wagenknecht L.E., Bergman R.N. Identification of quantitative trait loci for glucose homeostasis: the Insulin Resistance Atherosclerosis Study (IRAS) Family Study. Diabetes. 2004;53:1866–1875. doi:10.2337/diabetes.53.7.1866. - DOI - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Miscellaneous