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LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

  • Brendan K Bulik-Sullivan
  • , Po-Ru Loh
  • , Hilary K Finucane
  • , Stephan Ripke
  • , Jian Yang
  • , Nick Patterson
  • , Mark J Daly
  • , Alkes L Price
  • , Benjamin M Neale
  • , Aiden Corvin
  • , Annette M Hartmann
  • , Frans A Henskens
  • , Stefan Herms
  • , Joel N Hirschhorn
  • , Per Hoffmann
  • , Andrea Hofman
  • , Mads V Hollegaard
  • , David M Hougaard
  • , David M Hougaard
  • , Masashi Ikeda
  • James TR Walters, Inge Joa, Antonio Julia, Rene S Kahn, Luba Kalaydjieva, Sena Karachanak -Yankova, Juha Karjalainen, David Kavanagh, Matthew C Keller, Brian J Kelly, James L Kennedy, Kai-How Farh, Andrey Khrunin, Yunjung Kim, Janis Klovins, James A Knowles, Bettina Konte, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova -Ptackova, Anna K Kahler, Claudine Laurent, Peter A Holmans, Jimmy Lee Chee Keong, Phil Lee, David A Collier, Hailiang Huang, Tune H Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu Bacanu, Martin Begemann, Richard A Belliveau Jr, Judit Bene, Sarah E Bergen, Elizabeth Bevilacqua, Tim B Bigdeli, Donald W Black, Richard Bruggeman, Nancy G Buccola, Randy L Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Murray J Cairns, Dominique Campion, Rita M Cantor, Vaughan J Carr, Noa Carrera, Stanley V Catts, Kimberly D Chambert, Raymond C K Chan, Ronald Y L Chen, Eric Y H Chen, Wei Cheng, Eric F C Cheung, Siow Ann Chong, C Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, Benedicto Crespo- Facorro, James J Crowley, David Curtis, Michael Davidson, Kenneth L Davis, Franziska Degenhardt, Jurgen D Favero, Lynn E DeLisi, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Srdjan Djurovic, Gary Donohoe, Elodie Drapeau, Jubao Duan, Alkes L Price, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H Fanous, Martilias S Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B Freimer, Marion Friedl, Joseph I Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Elliot S Gershon, Ina Giegling, Paola Giusti -Rodriguez, Sang Hong Lee, Stephanie Godard, Jacqueline I Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Marian L Hamshere, Thomas Hansen, Vahram Haroutunian

Research output: Contribution to journal › Article › peer-review

4134 Citations (Scopus)

Abstract

Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness and population stratification, can yield an inflated distribution of test statistics in genome-wide association studies (GWAS). However, current methods cannot distinguish between inflation from a true polygenic signal and bias. We have developed an approach, LD Score regression, that quantifies the contribution of each by examining the relationship between test statistics and linkage disequilibrium (LD). The LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control. We find strong evidence that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size.
Original languageEnglish
Pages (from-to)291-295
JournalNature Genetics
Volume47
Issue number3
DOIs
Publication statusPublished - 2015

Keywords

  • Gene Expression (incl. Microarray and other genome-wide approaches)

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