Literature DB >> 11309690

Broad and narrow heritabilities of quantitative traits in a founder population.

M Abney1, M S McPeek, C Ober.   

Abstract

Estimation of the components of variance for a quantitative trait allows one to evaluate both the degree to which genetics influences the trait and the trait's underlying genetic architecture. For particular traits, the estimates also may have implications for discriminating between potential models of selection and for choosing an appropriate model for linkage analysis. Using a recently developed method, we estimate the additive and dominance components of variance--or, equivalently, the narrow and broad sense heritabilities--of several traits in the Hutterites, a founder population with extensive genealogical records. As a result of inbreeding and because Hutterite individuals are typically related through multiple lines of descent, we expect that power to detect dominance variance will be increased relative to that in outbred studies. Furthermore, the communal lifestyle of the Hutterites allows us to evaluate the genetic influences in a relatively homogeneous environment. Four phenotypes had a significant dominance variance, resulting in a relatively high broad heritability. We estimated the narrow and broad heritabilities as being, respectively,.36 and.96 for LDL,.51 and 1.0 for serotonin levels, and.45 and.76 for fat free mass (FFM). There was no significant additive component for systolic blood pressure (SBP), resulting in a narrow heritability of 0 and a broad heritability of.45. There were several traits for which we found no significant dominance component, resulting in equal broad and narrow heritability estimates. These traits and their heritabilities are as follows: HDL,.63; triglycerides,.37; diastolic blood pressure,.21; immunoglobulin E,.63; lipoprotein(a),.77; and body-mass index,.54. The large difference between broad and narrow heritabilities for LDL, serotonin, FFM, and SBP are indicative of strong dominance effects in these phenotypes. To our knowledge, this is the first study to report an estimate of heritability for serotonin and to detect a dominance variance for LDL, FFM, and SBP.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11309690      PMCID: PMC1226113          DOI: 10.1086/320112

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  23 in total

1.  Quantitative trait locus mapping using human pedigrees.

Authors:  J Blangero; J T Williams; L Almasy
Journal:  Hum Biol       Date:  2000-02       Impact factor: 0.553

2.  Estimation of variance components of quantitative traits in inbred populations.

Authors:  M Abney; M S McPeek; C Ober
Journal:  Am J Hum Genet       Date:  2000-02       Impact factor: 11.025

3.  GROWTH AND INBREEDING OF A HUMAN ISOLATE.

Authors:  A P MANGE
Journal:  Hum Biol       Date:  1964-05       Impact factor: 0.553

4.  GENOTYPIC COVARIANCES BETWEEN INBRED RELATIVES.

Authors:  D L HARRIS
Journal:  Genetics       Date:  1964-12       Impact factor: 4.562

5.  Extensions to pedigree analysis. III. Variance components by the scoring method.

Authors:  K Lange; J Westlake; M A Spence
Journal:  Ann Hum Genet       Date:  1976-05       Impact factor: 1.670

6.  Estimation of the variance components for dermal ridge count.

Authors:  M A Spence; J Westlake; K Lange
Journal:  Ann Hum Genet       Date:  1977-07       Impact factor: 1.670

7.  The founder effect in a human isolate: evolutionary implications.

Authors:  A O Martin
Journal:  Am J Phys Anthropol       Date:  1970-05       Impact factor: 2.868

8.  Genetic analysis of allergic disease in twins.

Authors:  R J Hopp; A K Bewtra; G D Watt; N M Nair; R G Townley
Journal:  J Allergy Clin Immunol       Date:  1984-02       Impact factor: 10.793

9.  Covariances of relatives stemming from a population undergoing mixed self and random mating.

Authors:  C C Cockerham; B S Weir
Journal:  Biometrics       Date:  1984-03       Impact factor: 2.571

10.  Familial aggregation of resting blood pressure and heart rate in a sedentary population: the HERITAGE Family Study. Health, Risk Factors, Exercise Training, and Genetics.

Authors:  P An; T Rice; J Gagnon; I B Borecki; L Pérusse; A S Leon; J S Skinner; J H Wilmore; C Bouchard; D C Rao
Journal:  Am J Hypertens       Date:  1999-03       Impact factor: 2.689

View more
  66 in total

1.  The importance of genealogy in determining genetic associations with complex traits.

Authors:  D L Newman; M Abney; M S McPeek; C Ober; N J Cox
Journal:  Am J Hum Genet       Date:  2001-11       Impact factor: 11.025

2.  The genetic dissection of complex traits in a founder population.

Authors:  C Ober; M Abney; M S McPeek
Journal:  Am J Hum Genet       Date:  2001-10-03       Impact factor: 11.025

Review 3.  Networking in autism: leveraging genetic, biomarker and model system findings in the search for new treatments.

Authors:  Jeremy Veenstra-VanderWeele; Randy D Blakely
Journal:  Neuropsychopharmacology       Date:  2011-09-21       Impact factor: 7.853

4.  Examining autism spectrum disorders by biomarkers: example from the oxytocin and serotonin systems.

Authors:  Elizabeth Hammock; Jeremy Veenstra-VanderWeele; Zhongyu Yan; Travis M Kerr; Marianna Morris; George M Anderson; C Sue Carter; Edwin H Cook; Suma Jacob
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2012-05-26       Impact factor: 8.829

5.  Maternal Serotonin Levels Are Associated With Cognitive Ability and Core Symptoms in Autism Spectrum Disorder.

Authors:  Alicia K Montgomery; Lauren C Shuffrey; Stephen J Guter; George M Anderson; Suma Jacob; Matthew W Mosconi; John A Sweeney; J Blake Turner; James S Sutcliffe; Edwin H Cook; Jeremy Veenstra-VanderWeele
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2018-09-24       Impact factor: 8.829

6.  Genome scan for quantitative trait loci influencing HDL levels: evidence for multilocus inheritance in familial combined hyperlipidemia.

Authors:  France Gagnon; Gail P Jarvik; Michael D Badzioch; Arno G Motulsky; John D Brunzell; Ellen M Wijsman
Journal:  Hum Genet       Date:  2005-06-16       Impact factor: 4.132

7.  Evidence for epistasis between SLC6A4 and ITGB3 in autism etiology and in the determination of platelet serotonin levels.

Authors:  Ana M Coutinho; Inês Sousa; Madalena Martins; Catarina Correia; Teresa Morgadinho; Celeste Bento; Carla Marques; Assunção Ataíde; Teresa S Miguel; Jason H Moore; Guiomar Oliveira; Astrid M Vicente
Journal:  Hum Genet       Date:  2007-01-03       Impact factor: 4.132

8.  Genome-wide association study of plasma lipoprotein(a) levels identifies multiple genes on chromosome 6q.

Authors:  Carole Ober; Alex S Nord; Emma E Thompson; Lin Pan; Zheng Tan; Darren Cusanovich; Ying Sun; Raluca Nicolae; Celina Edelstein; Daniel H Schneider; Christine Billstrand; Ditta Pfaffinger; Natasha Phillips; Rebecca L Anderson; Binu Philips; Ramakrishnan Rajagopalan; Thomas S Hatsukami; Mark J Rieder; Patrick J Heagerty; Deborah A Nickerson; Mark Abney; Santica Marcovina; Gail P Jarvik; Angelo M Scanu; Dan L Nicolae
Journal:  J Lipid Res       Date:  2009-01-05       Impact factor: 5.922

Review 9.  Genetic determinants of hypertension: an update.

Authors:  Michael Harrison; Karen Maresso; Ulrich Broeckel
Journal:  Curr Hypertens Rep       Date:  2008-12       Impact factor: 5.369

Review 10.  The serotonin system in autism spectrum disorder: From biomarker to animal models.

Authors:  C L Muller; A M J Anacker; J Veenstra-VanderWeele
Journal:  Neuroscience       Date:  2015-11-11       Impact factor: 3.590

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.