Bayesian mendelian randomization for incomplete pedigree data, and the characterisation of multiple sclerosis proteins

T. Fazia; L. Egidi; B. Ayoglu; A. Beecham; P.P. Bitti; A. Ticca; J.L. McCauley; P. Nilsson; C. Berzuini; L. Bernardinelli

Bayesian mendelian randomization for incomplete pedigree data, and the characterisation of multiple sclerosis proteins

T. Fazia, L. Egidi, B. Ayoglu, A. Beecham, P.P. Bitti, A. Ticca, J.L. McCauley, P. Nilsson, C. Berzuini, L. Bernardinelli

Division of Population Health, Health Services Research & Primary Care (L5)

Research output: Other contribution › peer-review

Abstract

Before the GWAS (genome-wide association study) era, many genetic determinants of disease were found via analysis of multiplex pedigrees, that is, by looking for genetic markers that run in families in a similar way as disease. GWAS advent has robbed pedigree analysis of its luster. Future scientific methodology seesaw might bring pedigree analysis back into the spotlight.

Original language	English
Number of pages	31
Publication status	Published - 2 Mar 2019

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title = "Bayesian mendelian randomization for incomplete pedigree data, and the characterisation of multiple sclerosis proteins",

abstract = "Before the GWAS (genome-wide association study) era, many genetic determinants of disease were found via analysis of multiplex pedigrees, that is, by looking for genetic markers that run in families in a similar way as disease. GWAS advent has robbed pedigree analysis of its luster. Future scientific methodology seesaw might bring pedigree analysis back into the spotlight.",

author = "T. Fazia and L. Egidi and B. Ayoglu and A. Beecham and P.P. Bitti and A. Ticca and J.L. McCauley and P. Nilsson and C. Berzuini and L. Bernardinelli",

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T1 - Bayesian mendelian randomization for incomplete pedigree data, and the characterisation of multiple sclerosis proteins

AU - Fazia, T.

AU - Egidi, L.

AU - Ayoglu, B.

AU - Beecham, A.

AU - Bitti, P.P.

AU - Ticca, A.

AU - McCauley, J.L.

AU - Nilsson, P.

AU - Berzuini, C.

AU - Bernardinelli, L.

PY - 2019/3/2

Y1 - 2019/3/2

N2 - Before the GWAS (genome-wide association study) era, many genetic determinants of disease were found via analysis of multiplex pedigrees, that is, by looking for genetic markers that run in families in a similar way as disease. GWAS advent has robbed pedigree analysis of its luster. Future scientific methodology seesaw might bring pedigree analysis back into the spotlight.

AB - Before the GWAS (genome-wide association study) era, many genetic determinants of disease were found via analysis of multiplex pedigrees, that is, by looking for genetic markers that run in families in a similar way as disease. GWAS advent has robbed pedigree analysis of its luster. Future scientific methodology seesaw might bring pedigree analysis back into the spotlight.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85093635692&partnerID=MN8TOARS

M3 - Other contribution

ER -

Bayesian mendelian randomization for incomplete pedigree data, and the characterisation of multiple sclerosis proteins

Abstract

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