Literature DB >> 26753781

The latent class twin method.

Stuart G Baker1.   

Abstract

The twin method refers to the use of data from same-sex identical and fraternal twins to estimate the genetic and environmental contributions to a trait or outcome. The standard twin method is the variance component twin method that estimates heritability, the fraction of variance attributed to additive genetic inheritance. The latent class twin method estimates two quantities that are easier to interpret than heritability: the genetic prevalence, which is the fraction of persons in the genetic susceptibility latent class, and the heritability fraction, which is the fraction of persons in the genetic susceptibility latent class with the trait or outcome. We extend the latent class twin method in three important ways. First, we incorporate an additive genetic model to broaden the sensitivity analysis beyond the original autosomal dominant and recessive genetic models. Second, we specify a separate survival model to simplify computations and improve convergence. Third, we show how to easily adjust for covariates by extending the method of propensity scores from a treatment difference to zygosity. Applying the latent class twin method to data on breast cancer among Nordic twins, we estimated a genetic prevalence of 1%, a result with important implications for breast cancer prevention research.
© 2016, The International Biometric Society.

Entities:  

Keywords:  Breast cancer; Latent class; Missing heritability; Phantom heritability; Propensity score; Survival variance components

Mesh:

Year:  2016        PMID: 26753781      PMCID: PMC4940346          DOI: 10.1111/biom.12460

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  16 in total

1.  The interpretation of twin data.

Authors:  O KEMPTHORNE; R H OSBORNE
Journal:  Am J Hum Genet       Date:  1961-09       Impact factor: 11.025

2.  Comparison of the biometrical genetical, MAVA, and classical approaches to the analysis of human behavior.

Authors:  J L Jinks; D W Fulker
Journal:  Psychol Bull       Date:  1970-05       Impact factor: 17.737

3.  Nonparametric estimation of a multivariate distribution in the presence of censoring.

Authors:  J A Hanley; M N Parnes
Journal:  Biometrics       Date:  1983-03       Impact factor: 2.571

4.  Genetic susceptibility to prostate, breast, and colorectal cancer among Nordic twins.

Authors:  Stuart G Baker; Paul Lichtenstein; Jaakko Kaprio; Niels Holm
Journal:  Biometrics       Date:  2005-03       Impact factor: 2.571

5.  A cancer theory kerfuffle can lead to new lines of research.

Authors:  Stuart G Baker
Journal:  J Natl Cancer Inst       Date:  2014-12-20       Impact factor: 13.506

6.  Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland.

Authors:  P Lichtenstein; N V Holm; P K Verkasalo; A Iliadou; J Kaprio; M Koskenvuo; E Pukkala; A Skytthe; K Hemminki
Journal:  N Engl J Med       Date:  2000-07-13       Impact factor: 91.245

Review 7.  Highly penetrant hereditary cancer syndromes.

Authors:  Rebecca Nagy; Kevin Sweet; Charis Eng
Journal:  Oncogene       Date:  2004-08-23       Impact factor: 9.867

Review 8.  The heritability of human disease: estimation, uses and abuses.

Authors:  Albert Tenesa; Chris S Haley
Journal:  Nat Rev Genet       Date:  2013-02       Impact factor: 53.242

9.  Genome-wide association analysis identifies three new breast cancer susceptibility loci.

Authors:  Maya Ghoussaini; Olivia Fletcher; Kyriaki Michailidou; Clare Turnbull; Marjanka K Schmidt; Ed Dicks; Joe Dennis; Qin Wang; Manjeet K Humphreys; Craig Luccarini; Caroline Baynes; Don Conroy; Melanie Maranian; Shahana Ahmed; Kristy Driver; Nichola Johnson; Nicholas Orr; Isabel dos Santos Silva; Quinten Waisfisz; Hanne Meijers-Heijboer; Andre G Uitterlinden; Fernando Rivadeneira; Per Hall; Kamila Czene; Astrid Irwanto; Jianjun Liu; Heli Nevanlinna; Kristiina Aittomäki; Carl Blomqvist; Alfons Meindl; Rita K Schmutzler; Bertram Müller-Myhsok; Peter Lichtner; Jenny Chang-Claude; Rebecca Hein; Stefan Nickels; Dieter Flesch-Janys; Helen Tsimiklis; Enes Makalic; Daniel Schmidt; Minh Bui; John L Hopper; Carmel Apicella; Daniel J Park; Melissa Southey; David J Hunter; Stephen J Chanock; Annegien Broeks; Senno Verhoef; Frans B L Hogervorst; Peter A Fasching; Michael P Lux; Matthias W Beckmann; Arif B Ekici; Elinor Sawyer; Ian Tomlinson; Michael Kerin; Frederik Marme; Andreas Schneeweiss; Christof Sohn; Barbara Burwinkel; Pascal Guénel; Thérèse Truong; Emilie Cordina-Duverger; Florence Menegaux; Stig E Bojesen; Børge G Nordestgaard; Sune F Nielsen; Henrik Flyger; Roger L Milne; M Rosario Alonso; Anna González-Neira; Javier Benítez; Hoda Anton-Culver; Argyrios Ziogas; Leslie Bernstein; Christina Clarke Dur; Hermann Brenner; Heiko Müller; Volker Arndt; Christa Stegmaier; Christina Justenhoven; Hiltrud Brauch; Thomas Brüning; Shan Wang-Gohrke; Ursula Eilber; Thilo Dörk; Peter Schürmann; Michael Bremer; Peter Hillemanns; Natalia V Bogdanova; Natalia N Antonenkova; Yuri I Rogov; Johann H Karstens; Marina Bermisheva; Darya Prokofieva; Elza Khusnutdinova; Annika Lindblom; Sara Margolin; Arto Mannermaa; Vesa Kataja; Veli-Matti Kosma; Jaana M Hartikainen; Diether Lambrechts; Betul T Yesilyurt; Giuseppe Floris; Karin Leunen; Siranoush Manoukian; Bernardo Bonanni; Stefano Fortuzzi; Paolo Peterlongo; Fergus J Couch; Xianshu Wang; Kristen Stevens; Adam Lee; Graham G Giles; Laura Baglietto; Gianluca Severi; Catriona McLean; Grethe Grenaker Alnaes; Vessela Kristensen; Anne-Lise Børrensen-Dale; Esther M John; Alexander Miron; Robert Winqvist; Katri Pylkäs; Arja Jukkola-Vuorinen; Saila Kauppila; Irene L Andrulis; Gord Glendon; Anna Marie Mulligan; Peter Devilee; Christie J van Asperen; Rob A E M Tollenaar; Caroline Seynaeve; Jonine D Figueroa; Montserrat Garcia-Closas; Louise Brinton; Jolanta Lissowska; Maartje J Hooning; Antoinette Hollestelle; Rogier A Oldenburg; Ans M W van den Ouweland; Angela Cox; Malcolm W R Reed; Mitul Shah; Ania Jakubowska; Jan Lubinski; Katarzyna Jaworska; Katarzyna Durda; Michael Jones; Minouk Schoemaker; Alan Ashworth; Anthony Swerdlow; Jonathan Beesley; Xiaoqing Chen; Kenneth R Muir; Artitaya Lophatananon; Suthee Rattanamongkongul; Arkom Chaiwerawattana; Daehee Kang; Keun-Young Yoo; Dong-Young Noh; Chen-Yang Shen; Jyh-Cherng Yu; Pei-Ei Wu; Chia-Ni Hsiung; Annie Perkins; Ruth Swann; Louiza Velentzis; Diana M Eccles; Will J Tapper; Susan M Gerty; Nikki J Graham; Bruce A J Ponder; Georgia Chenevix-Trench; Paul D P Pharoah; Mark Lathrop; Alison M Dunning; Nazneen Rahman; Julian Peto; Douglas F Easton
Journal:  Nat Genet       Date:  2012-01-22       Impact factor: 38.330

10.  Prevalence and penetrance of BRCA1 and BRCA2 mutations in a population-based series of breast cancer cases. Anglian Breast Cancer Study Group.

Authors: 
Journal:  Br J Cancer       Date:  2000-11       Impact factor: 7.640

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