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DNA Romance
DNA Romance
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La Science

La science derrière la compatibilité relationnelle

DNA Romance predicts "chemistry" online using the DRom 1.0 algorithm. It assesses 100 specific markers within your DNA - focused on genes proven to be involved in attraction and reproduction. Studies have shown that people with varied DNA markers in the Major Histocompatibility Complex (MHC) tend to find each other's scent appealing and often enjoy more durable romantic relationships.

DRom 1.0 - Predicting Chemistry

DRom 1.0 algorithm - DNA Romance predicts chemistry from MHC markers

DNA Romance prévoit également compatibilité de personnalité using Myers-Briggs personality types, lets users evaluate shared common interests via filters, and attraction physique based on photographs.

Our second algorithm, DRom 2.0, uses an AI model trained with relevant DNA markers to predict phenotypic traits with high accuracy - complementing the profile-verification mechanism that checks user authenticity.

Évaluation de la compatibilité de personnalité

Comment les différents types de personnalité interagissent dans les relations

Our personality compatibility rating draws on the Jung / Myers-Briggs 16 personality types a psychometric framework with over a century of development. Carl Jung's 1921 work was refined by Isabel Briggs Myers and Katherine Briggs into the Myers-Briggs Type Indicator®, widely used today in organisational psychology.

DNA Romance applies this framework to predict potential connections between singles and couples - assigning higher compatibility scores to similar personality types, lower scores to those that tend to conflict.

DNA Romance personality compatibility - 16 Myers-Briggs personality types

Articles de recherche clés

Selected peer-reviewed studies underpinning the science behind DNA Romance.

Dandine-Roulland et al., 2019

Birnbaum et al., 2019

Wedekind, 2019

Henningsson et al., 2017

Christakis & Fowler, 2014

Garver-Apgar et al., 2006

Roberts et al., 2006

Wedekind & Furi, 1997

Wu et al., 2018

Burger et al., 2017

Sherlock et al., 2016

Kromer et al., 2016

Wlodarski and Dunbar., 2015

Burger et al., 2015

Laurent and Chaix., 2012

Lie et al., 2010

Lie et al., 2010b

Chaix et al., 2008

Schwensow et al., 2008

Wedekind., 2007

Wedekind., 2006

Pause et al., 2006

Martins et al., 2005

Horton et al., 2004

Jacob et al., 2002

Milinski and Wedekind., 2001

Wedekind et al., 1995

Jokiniemi et al., 2020

Mosaad et al., 2011

Mora-Sánchez et al., 2019

Meuleman et al., 2015

Shankarkumar et al., 2008

Ober, 1999

Ober et al., 1998

Ober et al., 1993

Lok., 2012

Keirsey., 2006

Moutafi et al., 2003

Myers et al., 1998

Myers et al., 1985

Myers., 1962

Jung., 1923

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